Mean ± standard deviation (mg/kg) of phenolic compounds determined in Meknès monovarietal virgin olive oils.
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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
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He was appointed (2017) as a Minister of Innovative Development of Uzbekistan.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"213344",title:"Prof.",name:"Ibrokhim Y.",middleName:null,surname:"Abdurakhmonov",slug:"ibrokhim-y.-abdurakhmonov",fullName:"Ibrokhim Y. Abdurakhmonov",profilePictureURL:"https://mts.intechopen.com/storage/users/213344/images/system/213344.jpg",biography:'Ibrokhim Y. Abdurakhmonov received a BS in Biotechnology from the National University, California, in 1997, an MS in Plant Breeding from Texas A&M University in 2001, and a Ph.D. in Molecular Genetics, DSc in Genetics, and a full professorship in Molecular Genetics and Molecular Biotechnology from the Academy of Sciences of Uzbekistan in 2002, 2009, and 2011, respectively. He founded the Center of Genomics and Bioinformatics of Uzbekistan in 2012. He received the 2010 prize from The World Academy of Sciences (TWAS) and \\"ICAC Cotton Researcher of the Year 2013\\" for his outstanding contribution to cotton genomics and biotechnology. He was elected as a fellow to TWAS in 2014 and as a member of the Academy of Sciences of Uzbekistan in 2017. 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In the Mediterranean Basin, olive oil production can be considered as a science, but also a combination of creativity and innovation; it is also a lifestyle and a unique and ancestral tradition passed down through history from one generation to another. This historical interaction between Mediterranean populations, environment, and olive tree cultivation has created a specific cultural identity, which is crucial to understand the emergence and spread of olive tree cultivation and oil production all over the world [1]. It is also very important to mention the fundamental socioeconomic role that olive oil production and trade have played in different parts of the Mediterranean area throughout history.
\nIn many Mediterranean regions, nowadays, an integral form of revitalization, enhancement, and appreciation of the historical legacy of olive oil production is the establishment of geographical indications (GIs). They are often perceived as valuable tools that allow not only the safeguard of their cultural identity, but also to gain market benefits and profitability and competitiveness in a growing olive oil globalized market [2].
\nGIs are names of places or regions used to brand goods (olive oil in this case) with a distinct geographical connotation, which means that their specific quality attributes are considered to be inherently linked to (or determined by) their geographical origin’s characteristics. In this way, olive oil companies, besides using private trademarks, have an excellent opportunity to promote the uniqueness of their products through the use of these labels. Olive oil producers generally demonstrate the quality of this product by regulatory standardized parameters (mainly content of free fatty acids, peroxide value, ultraviolet specific extinction coefficients, and sensory characteristics); in contrast, GIs broaden the olive oil quality concept to added-value attributes such as provenance, local know-how, cultural traditions, and distinctive quality, which can help to differentiate the origin-labeled olive oil among similar products. By adopting these labels, added-value, premium price and a competitive positioning on either traditional or emerging olive oil markets are, obviously, expected. It is also assumed that they can provide rural areas (where they are established) with additional social and economic benefits [3, 4]. Given their importance, an unprecedented recognition of these labels was recorded over the last years in many parts of the Mediterranean area. According to the information published by different organizations [5–9], it is possible to state that till 2015, about 123 olive growing regions have registered their olive oil production under GI schemes; all of them are located in Mediterranean countries, with Italy (43 GIs), Greece (29 GIs), and Spain (28 GIs) at the highest positions of the list.
\nBecause of the rapid proliferation of GIs in the olive oil sector, their usefulness and effectiveness are currently lively debated topics. Within this context, some very successful stories of olive oil GIs can be told (e.g., the Spanish Baena olive oil [10], French GIs olive oils [11], and Italian Toscana olive oil [12], that have achieved a considerably higher price (premium price) than other no GI labeled olive oils). Nevertheless, these cases represent a limited number of examples if compared with the high number of existing GI olive oils. Some authors have expressed reservations in this respect, pointing out the lack of reputation and notoriety of several of these olive oils produced under GI schemes. This would obviously have negative consequences on the overall value of the olive oil GI system [13, 14]. Therefore, it is very important to identify the moment in which implementing an olive oil GI is appropriate, as well as how to benefit from it. As properly stated by Aubard [15], GIs should be adopted as response to an identified (product chain) need, and must be designed pragmatically and realistically, so as to be useful to the business. Furthermore, the author criticizes the wrong idea that many producers have about GIs, expecting that the label will automatically make the markets more accessible to them. This is not true and any procedure aiming to increase the value of products (such as GI) necessary requires a properly planned management and considerable marketing efforts [15].
\nMorocco has traditionally been a land of olive tree cultivation and olive oil production, and it currently stands out as one of the most important olive oil producing countries, ranking sixth worldwide [16]. In this country, the olive oil sector is increasingly considered as an economic and social development engine of various regions. Under that perspective, olive oil sector modernization, yield increasing, and olive oil quality enhancement, have been—and remain—a priority in Moroccan agricultural policy [17]. In this respect, the establishment of GIs is the cornerstone of the current Moroccan olive oil quality policy. Protected designations of origin (PDO), protected geographical indications (PGIs), and traditional specialities guaranteed (TSG) are the instruments created for this purpose [18]. Indeed, till 2016, two PDOs and three PGIs have been registered, while some others are in the scrutiny process.
\nMeknès region is one of these Moroccan olive growing areas that aim to provide their olive oil production with a GI label (particularly, a PDO). With the purpose to contribute to the implementation of this GI label for Meknès olive oil, our research group has carried out a multidisciplinary and pluri-annual study. Other Mediterranean experiences in this field, and the assets and constraints abovementioned that have led to the current scenario (in which some olive oil GIs have experienced exceptional success while others have failed) have been considered. In our study, we basically tackled the following broad questions:
-is setting up a PDO in Meknès region appropriate?
-what should it be done to assure that this label will be long-lastingly effective and not only one more without any interest and benefit?
The approach in this study was based on a comprehensive literature review of what drives to successful processes of implementation and valorization of different GIs. Every success factor identified in literature was listed and adapted during our research, with additional insights gained over the study period.
\nIt was found that no universal model exists for a successful GI labels implementation and valorization; there is, indeed, a wide diversity of practices for implementing registered GIs all over the world [19–23]. In addition, literature clearly points out that the process of determining the suitability of a product in a given region to pursue a GI label should be scientifically grounded and built on a robust methodology taking into account the current knowledge in the field. It should be also able to stimulate the participation of all the product supply chain actors in order to integrate different points of view and interests. The concept of GI necessarily requires the efforts and skills of the different producers and/or processors to build a common vision concerning the quality of the product and the specific characteristics of its production process.
\nFrom the beginning, our team was convinced about the fact that the implication of the future Meknès olive oil PDO stakeholders was strongly encouraged and could represent the key to success. We refer to the members of the association “Union pour le Développement de l\'Olivier de Meknès (UDOM)”, including farmers, olive oil producers and processors. The scientific approach was designed around the basic definition of a PDO (also called “geographical designation of origin” or “appellations of origin”): “
The first is the fact that a PDO identifies a geographical entity, including natural and human factors. This is commonly designed by the term “terroir”.
The second is the existence of a link between the quality, characteristics and reputation of the PDO product and the “terroir” where is produced. This refers to the term “typicality”.
Consequently, the implementation of a PDO label should be certainly built on the delimitation of the terroir, the definition of its factors, and the characterization of the typicality of the product.
\nTerroir is a derivative of the French word for soil or land “terre”, that can be conceptualized in several different disciplines [25, 26]. This concept is practically the base of any GI system and many researchers have worked on its definition and the determination of its components [19, 27]. Terroir could be defined as:
Overall, it can be said that it is the combination and the strong interaction among these three dimensions, which is reflected on the special quality and particular characteristics of a GI product.
\nMeknès region is located in the North-Center of Morocco (33°53′36N, 5°32′50W), covering an area of approximately 400,700 ha, including a total olive growing area of 43,000 ha. It is a region with dramatic topographic contrasts and its landscape has a complex geomorphology (Figure 1). Climatically, Meknès terroir is situated in a Mediterranean subhumid to semi-arid climatic zone, with cool winter and warm dry summer. Rainfall is mostly uniformly distributed over the year. On average, this terroir annually receives 400–600 mm of rainfall, which is favorable for various crops, including olive tree. Meknès soils are constituted by fluvisols, regosols, lithosols, rendzinas, yermosols, xerosols, vertisols, kastanozems, chernozems, phaezems, luvisols, and acrisols, varying in thickness, depending on the depth of the substrate and the old and recent manifestations of anthropogenic erosion and runoff.
\nMeknès terroir geographical dimension construction: (a) altitude map; (b) climate map; (c) Meknès terroir delimitation showing the localization of the three basic terroir units identified.
The first step in the characterization of the geographical dimension of Meknès terroir has revealed a relatively complex variability of natural environmental factors in this area, which can affect the homogeneity of qualitative and compositional profile of the olive oils obtained in this terroir. Therefore, the identification of basic terroir units (homogenous geographical areas, from the environmental point of view) inside this region was the following step. The model proposed by Morlat [30] was used for that. Practically, each unit is defined by three associated components: a geological component, a pedoclimatic element and a landscape component. Therefore, the workflow of this methodology involved three main tasks:
Delimitation, characterization and cartography of Meknès terroir.
Characterization of the landscape and pedoclimatic conditions in this terroir.
A multifactorial analysis which integrates all the results obtained from the first two activities and allows the determination of the basic terroir units.
Thus, by applying this methodology, it was possible to identify three basic terroir units in Meknès region: Moulay Idriss Zerhoun, Meknès Plateau, and El Hajeb (Figure 1).
\nOnce the geographical dimension of Meknès terroir was defined, a careful investigation of ancient documents, archive maps and books that report the history of olive tree and oil production in this territory was made. Gastronomy habits and ancient practices and uses of this product throughout the history of Meknès were also documented. Finally, historical structures and archeological evidences which testify the long-standing olive growing and oil production practices in this zone were explored and inventoried.
\nIt was clearly demonstrated that Meknès region constitutes the cradle of olive tree cultivation and oil production in Morocco, since the oldest evidence of these practices in this country (dating for the roman era, about 2000 years ago) are found in this area (Moulay Idriss Zerhoun area and the archaeological site of Volubilis).
\nAt this point, we analyzed the olive-growing and olive oil processing sector characteristics of Meknès terroir. The work was firstly based on the study of data coming from the national and local institutions in charge of agriculture development, and, then, several surveys were performed among farmers and olive oil processors. The surveys focused on olive-growing farms were conducted to characterize the practiced agronomical techniques for the management of olive orchards (mainly planted olive varieties, plantation density, soil management, irrigation, fertilization, pruning, disease management, and harvesting), and also to evaluate the productivity of the olive orchard. The collected data were analyzed in depth and allowed to distinguish four main different olive growing cultivation systems: traditional rainfed, intensive rainfed, intensive irrigated, and superintensive system (Figure 2), with 93.4% of Meknès olive orchard planted using “Picholine Marocaine” cultivar.
Olive growing cultivation systems in Meknès: (a) traditional rainfed; (b) intensive rainfed; (c) intensive irrigated; (d) superintensive system.
A second type of surveys focused on olive oil mills. The collected data were compiled in a geo-database and integrated with digital maps of Meknès region (Figure 3). A total of 245 olive oil mills were listed; 102 of them were traditional processing mills, so-called massars, 91 semimoderns oil mills, and 52 moderns oil mills (28 two-phase and 24 three-phase). Regardless of the number of mills of each type, most of the produced olive oil is made by modern mills, showing a mean processing capacity of 3533.6 t/day. Furthermore, all the olive oils commercialized in package are coming from these mills.
Geographical localization maps of Meknès olive oil mills: (a) traditional; (b) semimodern; (c) three-phase; (d) two-phase.
The first phase of the study was, therefore, accomplished, and, the territorial dimensions of Meknès region had been characterized. The obtained results logically conditioned the selected methodological approach to carry out the second stage of the project, in particular, regarding the selection and collection of olive oil samples for the determination of the typicality of Meknès olive oil.
\nAccording to the definition of the concept of typicality of an agricultural product, this term means:
Based on the previous definition, the evaluation of the typicality of Meknès olive oil was performed by determining:
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In the coming paragraphs, we will try to briefly summarize the most relevant results from some of the research projects which have been carried out (or are ongoing) within our lab involving the use of different analytical techniques and the determination of the physicochemical and sensory quality, as well as other compositional parameters (such as phenolic compounds, triacylglycerols, and volatile compounds).
\nFor the determination of Meknès olive oil properties of belonging, two pluri-annual studies were carried out. The first work aimed the characterization of the physicochemical and organoleptic quality and compositional profile of 298 olive oil samples from “Picholine Marocaine” cultivar, obtained from 12 industrial olive oil mills, located in the three identified basic terroir units. Both variations induced by crop season and those expected between the three basic terroir units were assessed over four consecutive crop seasons (from 2010 to 2013). The results obtained reveal that, besides an interannual variation, olive oils produced in Meknès region are characterized by high physicochemical and sensory quality, as well as a homogeneous composition regardless of the production subarea. Considering their sensory quality, all the analyzed samples were classified as extra virgin olive oils, according to IOC regulations. Figure 4 depicts the standard/average sensory profile of the studied samples, having two categories: intense fruitiness and medium fruitiness. More details can be found in [33].
Sensory averaged profiles of Meknès monovarietal olive oils: (a) intense fruitiness profile; (b) medium fruitiness profile (reproduced with permission from [
In the second study [34], particular attention was paid to the characterization of phenolic compounds from oils produced in Meknès region. These compounds are of unquestionable importance since they have a noticeable influence on some olive oil sensory characteristics and biological properties [35, 36]. These reasons made us going for their characterization in Meknès olive oils. The study was conducted over three consecutive crop seasons (2011, 2012, and 2013) on 142 “Picholine Marocaine” olive oil samples obtained by extracting olive fruits collected from orchards located on the three Meknès basic terroir units. A liquid chromatography-mass spectrometry platform was used to this purpose. A total of 28 phenolic compounds (and quinic acid) were determined, revealing the complex profile of Meknès virgin olive oil, composed, in order of abundance, by secoiridoids, phenolic alcohols, lignans, flavonoids, and phenolic acids. Results showed that the variation of the content of phenolic compounds was mainly related to the crop season, which proves, once again, the homogenous character of the profile of olive oils produced in the entire Meknès terroir. Table 1 shows some of the quantitative results obtained in this study, showing the mean ± standard deviation (mg/kg) of phenolic compounds, grouped by chemical categories.
\nChemical category | \nCrop season 2011 | \nCrop season 2012 | \nCrop season 2013 | \n||||||
---|---|---|---|---|---|---|---|---|---|
Subarea 1 ( | \nSubarea 2 ( | \nSubarea 3 ( | \nSubarea 1 ( | \nSubarea 2 ( | \nSubarea 3 ( | \nSubarea 1 ( | \nSubarea 2 ( | \nSubarea 3 ( | \n|
Simple phenols | \n10.22aa ± 7.97 | \n13.07aa ± 6.98 | \n11.19aa ± 7.02 | \n10.19aa ± 2.63 | \n8.77aab ± 2.98 | \n7.64aab ± 1.78 | \n8.11aa ± 4.83 | \n7.51ab ± 3.95 | \n6.90ab ± 3.15 | \n
Lignans | \n5.34aa ± 2.16 | \n4.08aa ± 2.23 | \n4.41aa ± 2.96 | \n2.99ab ± 3.25 | \n4.09aab ± 5.83 | \n2.19aa ± 2.12 | \n1.43ab ± 0.87 | \n1.58ab ± 0.42 | \n3.08aa ± 4.77 | \n
Flavonoids | \n1.55aa ± 1.17 | \n3.23aa ± 3.18 | \n3.15aa ± 2.47 | \n1.40aa ± 0.24 | \n1.57aab ± 0.76 | \n2.10aab ± 1.1 | \n1.38aba ± 0.5 | \n1.10ab ± 0.29 | \n1.63bb ± 0.67 | \n
Phenolic acids | \n0.13aa ± 0.09 | \n0.22aa ± 0.15 | \n0.22aa ± 0.27 | \n0.18aa ± 0.07 | \n0.19aa ± 0.14 | \n0.22aa ± 0.15 | \n0.18aa ± 0.09 | \n0.17aa ± 0.07 | \n0.21aa ± 0.15 | \n
Secoiridoids | \n704.59aa ± 361.56 | \n1018.01aa ± 524.23 | \n1106.96aa ± 553.85 | \n594.50aa ± 175.16 | \n706.15aab ± 218.98 | \n831.46aab ± 363.83 | \n684.64aa ± 177.52 | \n540.12ab ± 158.91 | \n688.14ab ± 253.54 | \n
Other compounds | \n1.04aa ± 1.05 | \n12.87ba ± 16.60 | \n9.34ba ± 15.2 | \n2.80aa ± 3.89 | \n0.51bb ± 0.53 | \n1.32aba ± 1.18 | \n1.84aa ± 2.35 | \n5.48aa ± 12.38 | \n2.34ab ± 3.83 | \n
Mean ± standard deviation (mg/kg) of phenolic compounds determined in Meknès monovarietal virgin olive oils.
-Significant differences in the same row are indicated with different lowercase letters (comparison among crop seasons, p < 0.05) and with different superscript letters (comparison among subareas at the same crop season,
-The different categories included the sum of the individual amount of the following compounds: simple phenols (hydroxytyrosol, tyrosol, and oxidized hydroxytyrosol), lignans (pinoresinol, acetoxypinoresinol, and syringaresinol), flavonoids (luteolin and apigenin), phenolic acids (
-Quinic acid, hydroxytyrosol, tyrosol, pinoresinol, luteolin, apigenin, and
-Mean values are those calculated for all the samples coming from the same subarea and crop season, therefore, standard deviation gives to the reader only an idea about the variability of the olive oils in terms of composition, and obviously not about the repeatability of the analytical methods used. (The same is applicable to Table 2 regarding the different provenance regions.)
With regard to the properties of distinction of Meknès olive oils, various phenolic compounds profiling studies (combining compositional data and chemometric treatments) were performed in an attempt to discriminate the olive oils produced in Meknès terroir from others produced outside this region. Within this context, the potential of merging quality and chemical profiles data and multivariate statistical analysis was tested on 279 olive oil samples (among which 69 were from Meknès region and the others were collected from six North Moroccan regions). The obtained chemometric models were able to correctly discriminate Meknès olive oils from the rest, with rate of 100% and 91.30% in recognition and prediction abilities, respectively [37].
\nIn another work carried out on the same samples set, the triacylglycerols (TAG) fraction was determined and chemometric data analysis (including principal components analysis (PCA), linear discriminant analysis (LDA), partial least squares-discriminant analysis (PLS-DA), and soft independent modeling of class analogies (SIMCA)) was used to differentiate the studied samples according to their geographical origin. Twenty one TAGs were characterized and the variability observed among the studied samples could be related to the production area. The mean concentration and standard deviation (mean ± SD (%)) for the TAGs identified in the studied North Moroccan olive oil samples are listed in Table 2.
\n\n | Chefchaouane | \nFès | \nMeknès | \nOuazzane | \nSefrou | \nTaounate | \nTaza | \n
---|---|---|---|---|---|---|---|
\n | Mean ± SD | \n||||||
ECN42 | \n|||||||
LLL | \n0.05a ± 0.02 | \n0.41b ± 0.14 | \n0.14a ± 0.06 | \n0.28c ± 0.13 | \n0.11a ± 0.03 | \n0.25c ± 0.09 | \n0.14a ± 0.06 | \n
OLLn + PoLL | \n0.35a ± 0.13 | \n0.52b ± 0.17 | \n0.37a ± 0.09 | \n0.50b ± 0.03 | \n0.37a ± 0.06 | \n0.38a ± 0.07 | \n0.48b ± 0.09 | \n
PLLn | \n0.07ac d ± 0.03 | \n0.11b ± 0.03 | \n0.08c ± 0.03 | \n0.10b ± 0.01 | \n0.06d ± 0.01 | \n0.08c ± 0.02 | \n0.07acd ± 0.02 | \n
Total ECN 42 | \n0.58ade ± 0.29 | \n1.04b ± 0.30 | \n0.59ad ± 0.14 | \n0.88c ± 0.16 | \n0.54d ± 0.09 | \n0.71e ± 0.15 | \n0.70ae ± 0.16 | \n
ECN44 | \n|||||||
OLL | \n2.96ade ± 0.88 | \n4.80b ± 0.88 | \n2.41cd ± 0.71 | \n3.45a ± 0.91 | \n2.08c ± 0.51 | \n3.52a ± 0.75 | \n2.90e ± 0.63 | \n
OOLn | \n1.58ab ± 0.21 | \n1.79a ± 0.26 | \n1.68a ± 0.32 | \n1.77a ± 0.04 | \n1.76a ± 0.06 | \n1.47b ± 0.17 | \n2.13c ± 0.19 | \n
PLL | \n0.46a ± 0.27 | \n0.90b ± 0.54 | \n0.48a ± 0.14 | \n0.85b ± 0.14 | \n0.45a ± 0.1 | \n0.46a ± 0.07 | \n0.76b ± 0.17 | \n
POLn | \n0.63ab ± 0.13 | \n0.66a ± 0.16 | \n0.66a ± 0.14 | \n0.66ab ± 0.10 | \n0.58b ± 0.03 | \n0.43c ± 0.08 | \n0.76d ± 0.11 | \n
Total ECN 44 | \n5.03ade ± 1.64 | \n8.16b ± 1.61 | \n5.24ad ± 0.99 | \n6.73c ± 0.72 | \n4.87d ± 0.64 | \n5.88e ± 0.83 | \n6.54ec ± 0.80 | \n
ECN46 | \n|||||||
OOL + PPLn | \n14.23ace ± 3.79 | \n19.03b ± 1.19 | \n14.91ce ± 1.68 | \n16.87dfg ± 1.49 | \n15.01eg ± 1.58 | \n17.72f ± 1.42 | \n16.07g ± 1.34 | \n
PoOO | \n1.19abde ± 0.38 | \n1.28abe ± 0.22 | \n1.17ad ± 0.14 | \n1.12acd ± 0.18 | \n0.91f ± 0.12 | \n1.31ae ± 0.14 | \n1.01acf ± 0.16 | \n
SLL+PLO | \n4.62acd ± 1.43 | \n5.85e ± 1.00 | \n5.41ae ± 1.26 | \n6.58b ± 0.46 | \n4.71cd ± 0.46 | \n4.57d ± 0.49 | \n5.41ae ± 0.67 | \n
PoOP | \n0.72abcde ± 0.35 | \n0.84abc ± 0.50 | \n0.96b ± 0.42 | \n0.67c ± 0.30 | \n0.42de ± 0.06 | \n1.01b ± 0.20 | \n0.37e ± 0.24 | \n
Total ECN 46 | \n20.76ace ± 4.84 | \n27.00b ± 1.64 | \n22.45c ± 2.85 | \n25.24d ± 1.65 | \n21.05e ± 1.93 | \n24.61d ± 1.94 | \n22.86ac ± 1.89 | \n
ECN48 | \n|||||||
PLP | \n0.44ad ± 0.05 | \n0.38b ± 0.04 | \n0.42a ± 0.04 | \n0.38c ± 0.01 | \n0.45d ± 0.02 | \n0.44d ± 0.02 | \n0.40a ± 0.03 | \n
OOO | \n45.62ac ± 4.71 | \n39.33b ± 4.11 | \n43.20ac ± 4.00 | \n39.62b ± 0.83 | \n46.67ad ± 2.03 | \n45.33ad ± 2.54 | \n41.91c ± 2.77 | \n
SOL | \n0.55ace ± 0.08 | \n0.47b ± 0.06 | \n0.57ce ± 0.06 | \n0.55ac ± 0.05 | \n0.52ae ± 0.03 | \n0.43d ± 0.03 | \n0.55e ± 0.04 | \n
POP | \n2.63abde ± 0.84 | \n2.25b ± 0.64 | \n2.94ade ± 0.76 | \n2.89de ± 0.57 | \n2.42ab ± 0.20 | \n1.67c ± 0.35 | \n2.94d ± 0.50 | \n
POO | \n18.37ace ± 2.81 | \n15.79b ± 1.86 | \n19.33ce ± 1.90 | \n18.54ace ± 1.73 | \n17.61ae ± 0.84 | \n14.64d ± 0.97 | \n18.58e ± 1.28 | \n
Total ECN 48 | \n67.61ac ± 6.42 | \n58.22b ± 2.69 | \n66.46a ± 3.58 | \n61.99d ± 2.48 | \n67.68a ± 2.77 | \n62.51cd ± 2.79 | \n64.39c ± 2.72 | \n
ECN50 | \n|||||||
SOO | \n5.12ac ± 1.30 | \n4.81ad ± 0.82 | \n4.47a ± 0.63 | \n4.28b ± 0.24 | \n5.04ad ± 0.55 | \n5.53c ± 0.81 | \n4.66abd ± 0.62 | \n
POS | \n0.79abcd ± 0.09 | \n0.75ad ± 0.08 | \n0.79abcd ± 0.11 | \n0.85bc ± 0.1 | \n0.82c ± 0.07 | \n0.76d ± 0.14 | \n0.78acd ± 0.09 | \n
Total ECN 50 | \n5.91abc ± 1.35 | \n5.56ac ± 0.85 | \n5.26c ± 0.70 | \n5.13c ± 0.27 | \n5.86ab ± 0.61 | \n6.29b ± 0.90 | \n5.44ac ± 0.68 | \n
Quantitative results (mean ± standard deviation, %) for TAGs in the studied samples considering the provenance region.
Reproduced with permission from [38].
-ECN: equivalent carbon number.
-TAG names are abbreviated by means of three letters corresponding to the FA bound to the glycerol backbone. In alphabetic order: L, linoleic acid (C18:2); Ln, linolenic acid (C18:3); O, oleic acid (C18:1); P, palmitic acid (C16:0); Po, palmitoleic acid (C16:1); and S, stearic acid (C18:0).
-Significant differences within the same line are indicated with different lowercase letters (comparison between studied regions,
LDA and PLS-DA were the statistical treatments which gave the best results (in terms of accuracy for both training and test sets), but also the other classification procedure used (SIMCA) achieved a satisfactory and correct geographical classification. It was demonstrated that, for most of the considered regions in the study, useful information could be extracted from TAG data for the geographical discrimination of their virgin olive oils. When considering Meknès terroir samples, rates of 93.48% in both classification and cross-validation and 82.61%, in external validation, were obtained [38].
\nIn addition, a phenolic compounds profiling approach was applied to discriminate Meknès olive oils (36 samples) from those produced in six North Moroccan regions (120 samples) [39]. The developed methodology (using liquid chromatography coupled to mass spectrometry and a discriminant data analysis treatment) allowed differentiating 100% of Meknès samples in recognition and 91.67% of them in prediction. Besides, a similar approach was used to discriminate Meknès olive oil from those coming from two existing olive oil GIs in Morocco (PGI Ouazzane and PDO Tyout-Chiadma) [40]. In the just cited contribution, 136 commercial extra virgin olive oil samples were collected and their phenolic profile was characterized. Typical Base Peak Chromatograms of the methanolic extracts of representative samples from the three studied regions are shown in Figure 5.
\nBase peak chromatograms typical for Meknès, PGI Ouazzane, and PDO Tyout-Chiadma extra virgin olive oils samples. Peak identification: (1) quinic acid; (2) oxidized hydroxytyrosol; (3) hydroxytyrosol; (4) tyrosol; (5) dialdehydic form of decarboxymethyl elenolic acid; (6)
When statistical tools were applied for data treatment, the results were very satisfactory, since the 57 samples belonging to Meknès terroir were 100% correctly classified and 94.70% accurately predicted.
\nThe potential of volatile compounds (determined by gas chromatography coupled to mass spectrometry) combined to chemometric data analysis was also tested to distinguish Meknès olive oils from other olive oil samples produced in diverse Moroccan zones. Among the 92 samples analyzed, very good rates of classification (100%), and prediction (90.48%) were obtained for the 21 studied samples from Meknès region [41].
\nIn general, the good discriminant rates achieved within all the above-mentioned studies, as well as the identified geographical markers demonstrate, from our point of view, the uniqueness and specificity of the olive oil produced in Meknès region.
\nWe can conclude this section stating that, in light of the results obtained by the summarized studies in which about 967 samples were analyzed, the typicality of Meknès olive oil was properly characterized, defining, at the same time, an average qualitative and compositional profile of these oils. Their distinctive characteristics where compared to other Moroccan olive oils. The information obtained within these studies was (and is being) of great practical use in redacting the specifications report.
\nOnce the potential of Meknès olive oil to be certified under a PDO scheme was verified, the next step was the elaboration of a general scheme to be applied for registration in front of the relevant authorities. Figure 6 briefly illustrates the main activities undertaken within this stage of the study. Working sessions were arranged with the producers of the future PDO and articulated around four actions:
Proposed scheme for Meknès virgin olive oil PDO recognition.
All the elaborated documents were given to the Meknès olive oil PDO stakeholders to start the procedure to apply for the official registration (in front of the relevant authorities). The further procedure for the registration is set out in Food and Agriculture Organization of the United Nations [42].
\nThe official recognition of Meknès olive oil PDO cannot be, however, considered the end of the process, it is rather the beginning of a huge amount of work to maintain, monitor, and promote this PDO. The acquisition of this label is not the goal itself; the final objective is the creation of added-value products and benefits for Meknès farmers and olive oil producers, enhancing, therefore, the access to national and international markets.
\nAs clearly emphasized within this chapter, the success of the PDO label—in Meknès or anywhere else—widely depends on proper implementation, management and further marketing and promotional strategies to intensify its effectiveness. To that end, specific emphasis has to be made on the promotion of Meknès olive oil PDO within the communication charter and action plans jointly elaborated by the association UDOM and other public and private organisms.
\nThe regional charter for promoting Meknès terroir through the olive tree and its products reflects a common ambition (shared by all the participants) to make olive growing and oil production activities the basis of the economic regional development. It summarizes a collective vision derived from the alliance between different institutions that take part in the olive oil sector advancement in this region. Their intention is to stimulate cultural, touristic and commercial activities in a way which will be advantageous for all regional partners. Mechanisms to accomplish these objectives could be principally structured around the following actions:
-Development of common activities to improve cost-effectiveness of management, marketing and promotion of Meknès olive oil;
-Implementation of a cooperative communication (regional, national, and international) strategy;
-Organization of promotional events around the culinary uses of olive oil with special emphasis on Meknès olive oil characteristics;
-Promotion of the health benefits of olive oil, standing out the Meknès olive oil composition and its richness on bioactive compounds;
-Enhancement of the reputation of Meknès PDO olive oil on domestic, regional and international markets (by means of promotional video materials and publicity spots, flyers, Meknès olive oil route map, websites, international fairs, exhibitions, sensory competitions, or other events to promote a more appealing image of Meknès olive oil);
-Organization of Meknès olive oil festival (trade show);
-Organization of a national sensory quality competition with the participation of well-known international experts;
-Membership in other related domestic and foreign olive oil organizations;
-Supporting the development of olive oil tourism in Meknès region.
The strategy is already getting positive effects on Meknès olive oil regarding its recognition on the international market (oils from this region are listed among the best ones worldwide in specialized manuals and guides) and the premium prices achieved by regional producers in national and international markets.
\nThe current situation of the use of GI labels all over the world has been discussed, paying particular attention on their usefulness for achieving consumers’ recognition, quality signaling, control, and differentiation, and competitive benefits to producers. Moreover, the main factors that affect the success or failure of these geographical labeling schemes and the support needed to make them effective have been underlined. After a general analysis, we asserted that what makes GIs both feasible and operationally effective is the methodological approach followed for their setting up and the capacity of stakeholders to collectively manage, promote, and transform territorial resources into quality attributes recognized by consumers.
\nWe have used Meknès olive oil as example to contextualize the matter and suggest a methodology to define the properties of belonging and distinction of the oils from this region, supporting the implementation of a PDO label. Our approach involved the use of different analytical techniques and the determination of the physicochemical and sensory quality, as well as other compositional parameters (such as phenolic compounds, triacylglycerols, and volatile compounds) of the oils. Within this plan of action, the suitability of this region to acquire a PDO label was verified and a cooperative management, marketing, and promotion strategy adopted. We really believe that the proposed methodology could be of great importance and assistance to better guide olive oil GI labels implementation, both inside and outside Morocco.
\nThis chapter is based on researches funded by grants from the Spanish Agency for International Development Cooperation (AECID) (predoctoral grant), the Vice-Rector’s Office for International Relations and Development Cooperation of the University of Granada, the IAMZ-CIHEAM Mediterranean Agronomic Institute of Zaragoza (Master fellowship) and the Millennium Challenge Account Morocco, Fruit Tree Productivity Project (PAF)/Olive cultivation register Project/North Moroccan Regions. The authors want to express their sincere gratitude to the UDOM association members and Agro-pôle Olivier ENA-Meknès team and partners for their support and contribution to the attainment of this work.
\nThis work was also partially supported by the Spanish Government (Ministry of Education, Culture and Sport) by means of a FPU fellowship (FPU13/06438).
\nBuildings are a major source of environmental impact, such as greenhouse gas (GHG) emissions, and use large amounts of energy and natural resources. Building construction and operation account for 36% of global final energy use and of 39% of energy related GHG emissions [1]. Awareness of the threat of a climate crisis and its recognition in global Sustainable Development Goals, and in European and national political targets, has increased the pressure to do necessary measures to reduce anthropogenic GHG emissions. The importance of decreasing the impact from building and construction industry has also been highlighted. Apart from legislation, taxation and benefit packages, environmental assessment methods can be considered as a voluntary neoliberal way to work with environmental governance [2]. They may also influence legislation. For example, the Swedish EAM Miljöbyggnad (MB) has inspired a new legislation regarding mandatory climate declaration for all new buildings in Sweden which is mandatory from January 2021 [3]. It is therefore of great importance how the environmental assessment tools content, indicators and criteria guide building design and decision-making in the building sector.
In Sweden, the most commonly used system for environmental certification of buildings is Miljöbyggnad (MB), translated to English “Environmental building”. MB was developed as a joint project between Swedish government, companies in the building and construction sector, several municipalities, insurance companies and academia, as a voluntary environmental rating tool to assess all new buildings in Sweden [4]. This still influences its characteristics. More than 1900 buildings are certified with MB [5]. Environmental certification is a third-party verification that a building meets the environmental certification criteria that the system address. Sweden’s largest organization for sustainable community building, Sweden Green Building Council (SGBC) owns and develops the system, and performs certifications [5]. MB certifies both new and existing/renovated buildings of different kinds: such as detached and semi-detached houses, blocks of flats and most types of commercial and public buildings (here called non-residential buildings), encompassing hotels, offices, restaurants, healthcare buildings, schools, kindergartens, and sport centers. MB analyzes and evaluates fifteen different indicators for new buildings. The processes for MB certification include registration of the project, pre-notification, application, review, clarification, and certification and in addition, requires reporting and verification of results with follow up inspections within three years after completion and certification, and then reporting back on maintained performance every fifth year to prolong the gained certification grade.
Each indicator can achieve Bronze, Silver or Gold grade. To achieve Gold grade, the building should have enhanced environmental performance and measurements or questionnaires should be made to guarantee the enhanced building performance and indoor climate levels [5]. If any of the indicators are classified Bronze, there is no possibility to achieve the total grade Gold.
The 15 indicators (16 indicators for existing buildings) are clustered into the areas
Indicator | Aspect | Area | Building | |||
---|---|---|---|---|---|---|
1 | Heat power demand | SILVER | BRONZE | SILVER | SILVER | |
2 | Solar heat load | BRONZE | ||||
3 | Energy use | GOLD | GOLD | |||
4 | Share of renewable energy | SILVER | SILVER | |||
5 | Noise | SILVER | SILVER | SILVER | ||
6 | Radon | SILVER | SILVER | |||
7 | Ventilation | SILVER | ||||
8 | Moisture safety | SILVER | SILVER | |||
9 | Thermal climate, winter | SILVER | BRONZE | |||
10 | Thermal climate, summer | BRONZE | ||||
11 | Daylight | BRONZE | BRONZE | |||
12 | Legionella | SILVER | SILVER | |||
13 | Logbook of building material | SILVER | SILVER | SILVER | ||
14 | Phasing out the hazardous material | SILVER | SILVER | |||
15 | Building structure and the foundations climate impact | BRONZE | BRONZE |
Example of how indicator grades are valued and aggregated to a final building grade for a certified building, Almgården pre-school, Gävle, Sweden.
The aim of this this book chapter is to reflect some viewpoints about the MB’s potential impact on energy use, GHG emissions and effect on building performance. By analyzing and investigating nine of MB’s 15 indicators, it is studied to what degree MB may influence the design of buildings, the energy system and lower the GHG emissions. The analysis focuses on whether the certification system influences the design of the building and its energy system as intended and what challenges and possibilities the indicators, criteria and linked regulations can have on buildings and GHG emissions. The nine indicators that affect the GHG emissions the most in the areas Energy, Indoor environment and Material were identified and have been studied. Their potential impact on GHG emissions and building design will be presented and discussed.
The method used in the project is primarily a study of the MB manual and literature linked to the subject. The authors have had regular workshops to discuss the documents and literature and a reference group of five people from both building industry and academia with knowledge regarding MB, energy and environmental issues related to buildings have had input to the process. Some certified planned and built buildings have also been analyzed separately.
In order to have an understanding for why four indicators are included in the Energy area, a brief overview of Sweden’s energy system, building stock energy performance and energy supply/distribution are presented below. The four indicators within the energy area are: Heat power demand, Solar thermal load, Energy use and Renewable energy.
Sweden’s use of energy is divided among the industry, the transportation, and the residential and tertiary sectors. The latter accounts for approximately 40% of Sweden’s energy use, namely 147 TWh in 2018. Shares that sum up to this number are residences 59%, public service 11% and service businesses 21%, the building construction sector 3% and remaining 6% owing to agriculture, forestry and fishing [6]. More than half of this energy is used for space and domestic hot water (DHW) heating; 54% in 2018 [6]. For this reason, the building stock should confine energy use, the rate at which energy is used (power), from which sources and its quality. Table 2 displays statistics on space and DHW heating for various buildings. A large share of multifamily and non-residential buildings is heated with district heating (DH) whereas detached buildings are predominantly heated with electricity (direct and/or various heat pump types). Table 2 does not include facility electricity (electricity for pumps, fans, certain common lighting, elevators, etc.). Nor is household and office/business electricity, which by default are calculated as 30 kWh/(m2∙a) [8] and 50 kWh/(m2∙a) [9], respectively.
Building type | Share of total heat supply [%] | Share of DH supply [%] | Share of building type heated by DH [%] | Specific energy demand [kWh/(m2∙a)] | Specific energy demand (DH heated) [kWh/(m2∙a)] |
---|---|---|---|---|---|
40 | 12 | 17 | 107 | 138 | |
33 | 52 | 90 | 140 | 143 | |
27 | 36 | 77 | 127 | 149 |
Average final specific energy demand for space heat and domestic hot water preparation in 2016 [7].
It is important to differentiate energy carriers, primarily electricity and DH in view of when the power demand of the building stock is high due to issues during cold weather. Even if Sweden per capita is an extreme electricity consumer, electricity is generated using energy sources with low or moderate GHG emissions. For example, 160 TWh electricity were produced in 2019, from hydropower 39%, nuclear 39%, wind 12%, and the remaining 9% from combined heat and power (CHP) plants serving electricity to industry and society [6]. There is a growing demand for cooling energy, especially for non-residential buildings.
Electricity involves problems with power or capacity shortage.
It is cold in the whole country;
Wind generates little power since cold weather seldom are windy;
Nuclear power does not produce as predicted or is being phased out;
Drought leaves hydropower dams with low water levels;
Imported electricity is limited due to low overproduction in neighboring countries or grid links to those countries are not in operation;
Reserve power sources do not deliver enough power;
Grid shortage of capacity in Sweden (see below).
DH can come from burning fuels, incineration and/or waste/residual heat from the industry with the purpose of heating buildings (or for industrial applications). DH can also come from a CHP plant, which produces thermal and electric power for the local community, with very high thermal efficiency. CHP delivers most power when outdoor temperatures plummet. Cold periods involve burning fuels with high energy content, such as costly renewable types (such as tall oil) or fossil fuels, which are being phased out due to high GHG emissions. In view of MB, every new building will increase the pressure on energy generation, grids and networks. Renovation of old buildings often reduce thermal energy requirement, but will in turn often imply increased use of electricity for this purpose. Therefore, power requirements, which are not explicitly expressed in Swedish Building Regulations (BBR), are important in MB and consequently reduce the increase of GHG emissions. From a future community development perspective, minimized electricity consumption should be rewarded.
One of the indicators in MB assesses the heat power demand during winter. When outdoor temperatures drop, heat demand of the building stock increases, which implies that energy systems must use fossil and/or expensive renewable fuels. The purpose of this indicator is according to MB, translated to
Building type | Bronze | Silver | Gold |
---|---|---|---|
Residential | |||
Non-residential |
Indicator 1, heat power demand limits, related to envelope area [W/m2] [5].
These two calculation methods are suggested by MB:
The building’s heat loss coefficient (with unit W/K) and time constant are calculated to assess DVUT. The heat demand comes from multiplying the heat loss coefficient with the difference between design indoor temperature and DVUT, divided by the envelope area.
The heating demand can be simulated with a building energy simulation software, where solar and internal heat gains are set to zero, while the building is ventilated as if it were occupied. The climate file is that of a typical reference year for the location. Space heating demand is divided by the envelope area.
Verification is done in two ways: either with the energy signature of the building (measured supplied power versus outdoor temperature) or making a more exact calculation by using actual/measured values as input in the model used to predict the power demand.
The idea of limiting thermal power losses through transmission, ventilation and air leakage is encouraging, since this requirement is not explicitly stated in BBR, aside from criterion on maximum installed electricity power for space heating and an average area-weighted U-value of the envelope. It is also an aspect which is becoming increasingly important due to the energy systems problems with power and capacity shortage, and for limiting increased GHG emissions that new buildings entails. However, calculation procedures evaluation criterions can be doubted for several reasons, described below.
The definition of the indicator creates uncertainties. While it is called
Another aspect is that the building’s heat loss coefficient is normalized by division with the envelope area. The compactness of a building, measured with the Heat Loss Form Factor (HKFF is the ratio between envelope and heated floor area), affects heat losses. A compact building with low HKFF, reduces losses. Normalization with envelope area allows less energy-efficient buildings to fulfill the criteria, in contrast to reducing losses on basis of heated floor area. Moreover, envelope area can be complicated to calculate for buildings with complex facades. But this could perhaps be one way to avoid that the indicator drives building design towards buildings with low ceiling heights and low slab/intermediate floor thicknesses, such as made of wood instead of concrete.
The geographic factor
If a heat demand criterion is set the same at the two sites, the heat loss coefficient ratio of 0.72 (= 1/1.4) is obtained, indicating that buildings in the north must primarily have increased insulation thicknesses (thus reducing energy losses, too). The introduction of
The relationship between DVUT and the time constant of the building comes from SS-EN ISO 15927-5 [12]. Yet, the theories behind the standards have not been documented in a scientific way: the authors have not been able to find reports, peer-reviewed articles etc. on the topic. Nor has research been carried out to test and validate these concepts. Same criticism has been forwarded in view of building simulation tools standards [14]. Some inconsistencies can be noted: In order for heat to be stored and retrieved from building components, the indoor temperature must be able to fluctuate. However, calculation routines prescribe the use of a design indoor temperature that should be no lower than 21°C. Meanwhile, the time constant of the building is related to the response of the building subjected to a constant cold outdoor temperature, if the heating system is shut off, and the indoor temperature drops to approximately 63% of the temperature difference between the indoor and outdoor temperatures. It is questionable if the design of buildings with different time constants, in the same location, exposed to the same weather, can be verified, for example by measuring power supply versus outdoor temperature. Neither DVUT nor the time constant are measurable entities. This poses problems for verification, where a proposed method is the so-called energy signature. DVUT also appears in the winter thermal comfort indicator assessment.
Another weakness is that the typical climate of a location used in the indicator criteria is the “average” weather that was measured between 1981 and 2010. This climate format has substituted normal reference climate, based on 1961–1990, owing to climate changes. These climate files are based on previous historical 30 years of data. Given that an energy simulation of the building must be done (see Section 2.4), the same building model can be used for thermal power assessment. Today, this can be performed with the typical climate year, given that the internal and solar gains are set to zero, but it is not clear if this typical climate file contains design outdoor temperatures. Yet, certified buildings will be exposed to a future climate. Accordingly, predictive simulations should consider future weather exposure; not mean values of historic climate. A proposal is that extreme winter and summer conditions be projected in a design reference climate for designing future building heating and cooling power demand. The importance of using different climate files for various purposes is discussed by Petersen [15].
The purpose is to reward buildings that are designed to limit excessive indoor temperatures and reduce space-cooling requirement during the summer (see Table 4). The solar thermal load (STL) is defined as the solar energy that is transmitted through the window and contributes to heating/overheating of the room, based on the unit W/m2 (here, floor area of the considered room/zone).
Building type | Bronze | Silver | Gold |
---|---|---|---|
Residential | |||
Non-residential |
Indicator 2, solar thermal load limits based on zone floor area [W/m2] [5].
Calculations are performed on facades that are oriented to the east, west and/or south. Active/movable shading devices should be activated. An important part of the assessment is to estimate the solar heat gain factor
A simplified method in MB is utilized unless more detailed simulation tools are available. STL is for rooms with window in one orientation, assuming solar irradiation 800 W/m2 onto vertical surface, calculated according to Eq. (1):
Depending on results from the two STL-equations, the highest value should be chosen for evaluation of reward according to Table 4.
This indicator has the aim of reducing solar loads primarily through passive means. It is closely linked to Indicator 10
As previously mentioned, buildings should be designed in view of future climate projections. Though the solar intensity will probably remain unchanged in the future [15], the outdoor temperature will rise. This will significantly increase cooling requirement. The authors suggest that this indicator focus more on space cooling requirement, also considering internal heat gains, cool recovery from exhaust air, minimizing solar heat gains (as now) and have calculations based on projected future heat waves. Though energy implications are included in Indicator 3
Swedish regulations have historically understood that by decreasing energy losses, supply needs will be reduced. Requirements on building envelope component U-values and heat recovery from exhaust ventilation, rendered reduced supplied thermal power demand and thermal energy use. Building regulations have previously been based on the concept of specific energy use (i.e., purchased energy). In being an EU member state, building regulations have harmonized with EU formats using the concept of primary energy. In essence, the basis for the primary energy number (
where.
The weighting factors are for building regulations imposed in 2020 as follows: electricity 1.8; DH 0.7; district cooling 0.6; solid, liquid or gaseous biofuels 0.6; fossil oil 1.8 and fossil gas 1.8 [13].
The upper limits for detached houses are 90–100 kWh/(m2∙a) depending on size, 75 kWh/(m2∙a) for multi-family buildings and 70 kWh/(m2∙a) for non-residential buildings. The limits may be increased if the activities within the building require enhanced ventilation rates (for hygienic and health reasons). There are also limitations on maximum electricity power for heating purposes and mean envelope U-values (0.30, 0.40 and 0.5 W/(m2∙K)), respectively for the building types. Table 5 displays MB’s reward criterions.
Building type | Bronze | Silver | Gold |
---|---|---|---|
Residential | Bronze + | Bronze + | |
Non-residential | Bronze + | Bronze + |
Indicator 3, energy use requirements [kWh/(m2∙a)] [5].
Energy use of new buildings has to be predicted with a whole-building energy simulation software that calculates time step of one hour or less, using a typical year climate file for the location. The monitoring plan in Table 5 requires sub-metering so that space heating, heating of ventilation air, DHW heating, space cooling, facility energy (electricity) and in non-residential buildings the business/service activity electricity can be determined. Monitored values must be normalized for comparison and verification with BBR requirements.
In the process of harmonizing building regulations to EU formulations, Swedish regulations had to impose criterions in terms of primary energy and derive a definition of Nearly Zero Energy Buildings (nZEB). The weighting factors (see Eq. (3)) were introduced in BBR 25 in 2017 and have undergone changes until BBR 29 in 2020. These can be seen as partially politically determined as they do not fully reflect differences in primary energy of energy sources. This is partly due to disagreements on how to calculate primary energy factors in district heating and cooling, from bio energy from forest residuals, waste to energy and free cooling (also to discourage direct use of fossil energy, oil and fossil gas were assigned factors equal to electricity). A stated aim has also been to derive values which are more “technological neutral” and “cost optimal” [16].
The relationship between BBR’s weighting factors for electricity and district heating (1.8/0.7 = 2.6) “coincides” with Boverket’s outmoded experience of average seasonal coefficients of performance (SCOP) for heat pumps, though with the ambition to be technology neutral. However, this value is considerably lower than the design SCOP’s of most modern heat pumps. Below, an example of a real building is presented to illustrate how the building regulations influences how much primary energy is potentially available for space heating, depending on choice of heating system.
For Strömsbro school in Gävle, BBR 29 [11] sets a nominal maximum value for
Eq. (3) can be rewritten for DH (Eq. (4)) and heat pump (Eq. (5)) heated building. The heat pump efficiency is estimated by varying three
For DH, the maximum allowable space heating energy use is expressed as:
For heat pumps, the remaining energy use for fulfilling requirement is as follows:
Results in Table 6 indicate that it is easier to fulfill energy requirement limits with an efficient heat pump than DH. This implies that heat pump heated buildings can fulfill energy requirements with low insulation levels in the envelope and/or ventilation and air infiltration losses. However, this problem does not come from MB – this indicator is directly based on BBR’s calculation methods and weighing factors. As long as this bias exists in BBR, it will be reflected in MB, unless MB sets more stringent requirements than BBR. However, it should be noted that other limitations in BBR restrict supplied energy (such as the envelopes average U-value and electricity use for heating purposes).
Energy carrier | BRONZE [kWh/(m2∙a)] | SILVER [kWh/(m2∙a)] | GOLD [kWh/(m2∙a)] |
---|---|---|---|
District heating HP SCOP = 3 HP SCOP = 4 HP SCOP = 5 | 72.0 83.8 114.7 145.5 | 39.0 45.3 63.4 81.3 | 28.0 32.5 46.3 60.0 |
Available energy use for space heating for a kindergarten in Gävle, given that other energy entities are prescribed, heated by DH or heat pump (HP) with SCOP = 3, 4 and 5, respectively [5].
The purpose of Indictor 4
The provided tool categorizes energy source in three categories as follows:
Criterions for rewards are presented in Table 7 and instructions state some definitions. These are, coarsely summed up, as follows:
Building type | Bronze | Silver | Gold |
---|---|---|---|
Residential and non-residential | > 50% of used energy is renewable. Guarantee of origin of electricity and allocated DH is accepted. | Alternative 1: > 75% of used energy is renewable whereof >10% is from flow sources. Alternative 2: > 80% of used energy is renewable. For both alternatives: electricity has guarantee of origin and third-party review of allocated DH is accepted. | > 80% of used energy is renewable, whereof >5% is from local flow source and used in the building. Electricity has guarantee of origin and third-party review of allocated DH is accepted. |
Indicator 4, requirements on shares of renewable energy [%] [5].
Gold requires
The energies origin for electricity from the grid is classified according to Energimarknadsinspektionen’s (the Swedish Energy Market Inspectorate) guarantee of origin. Electricity originating from solar-, hydro- and wind power are renewable and flowing. The Nordic residual mix is the produced electricity that is not sold with guaranteed renewable origin. The Swedish Energy Market Inspectorate provides annual information on its shares.
The origin of the energy that is supplied by the specific DH system is classified depending on fuel mix. Only the origin is assessed; not technical solutions or equipment in neither building nor DH system. Allocated DH shall be checked by an environmental auditor. The energy supplier shall guarantee that it will be available for at least three years. Consequences of the residual’s constituents are accounted, i.e., DH which is not sold with guaranteed origins. For Silver and Gold, allocation and residual must be reviewed by a third party. For heat pumps in the DH system, energy supplied to heat pumps, excluding electricity, will be allocated in Category 1. Electricity to heat pumps are allocated depending on origin. Energy with unknown origin is classified as non-renewable (category 3) and electricity as Nordic residual mix.
Origin-labeled or allocated energy is verified with contracts, invoices, etc. Solar collectors or photovoltaics can be verified with photo or as-built documents. The intentions of awarding the use of renewable energy and specifically to encourage establishment of new renewable production units, is appropriate, such that energy use of new buildings will not burden the existing energy production systems. If origins of electricity will result in expanding electricity from renewable sources can on the other hand be discussed. As long as not all the renewable electricity produced is bought with green certifications it will not have much influence over the energy production.
The three categories could also be discussed from an environmental point of view. Should a more differentiated categorization represent the actual environmental impact from different energy sources be more appropriate, transparent and meaningful? Both life cycle assessment data for different energy sources and the energy efficiency in the energy production process could be included. The differences between different systems can be very large. For example, the lifecycle estimates of GHG emissions from wind power and coal is 10 gCO2e/kWh vs. 1050 gCO2e/kWh [17]. Variations can also be large between the environmental loads from the same type of energy generator depending on the source. For example, photovoltaic panels (PV panels) can have very different GHG emission impact if produced with coal in China or with the Swedish energy mix in Sweden.
Eight indicators related to the indoor environment are included in MB; Noise, Radon, Ventilation, Moisture safety, Thermal climate in winter, Thermal climate in summer, Daylight and Legionella [5]. The focus in this part is the ventilation, thermal comfort and daylight.
Several of the environmental indicators have a synergy and affect each other as well as energy indicators. For instance, ventilation can affect the indicators for energy (both the heating load and energy use), radon content inside the building, thermal comfort both in summer and winter, the noise level (due to the running fan and ducting networks in the ventilation system) and the logbook of the material (choice of environmentally friendly material for the ventilation system). Therefore, the ventilation system is a decisive indicator for the total grading of the MB assessment.
In a building, the ventilation system has the role of regulating and ensuring optimal indoor air quality and good thermal comfort. In terms of air quality, the uncertainty is greater when it comes to people’s experience than for the thermal climate. However, there is no doubt that the quality of the indoor air is of great importance for comfort, health and performance. The balance between air quality and thermal comfort depends on a number of factors, which includes thermal regulation, control of internal and external sources of pollutants, air change rate, air distribution system, residents’ activities and preferences, and reasonable operation and maintenance of the building system [18]. Guidelines for good indoor air quality have over the years often specified the highest acceptable levels of a wide range of airborne pollutants, such as dust content, CO2, volatile organic compounds, microorganisms. However, very few unambiguous correlations have been found between pollution levels and symptom outcomes for the low-dose range to which people in non-industrial premises are usually exposed. For human-generating pollutants (so-called bio effluents), CO2 content is often used as an indicator. Studies show that for larger populations, the number of dissatisfied users is 14% if all people are exposed to a CO2 content of 800 ppm [19].
The ventilation indicator in MB assesses the building’s ventilation solution and the purpose of the indicator is to reward buildings with good air quality. For ventilation, there are both minimum flow requirements as well as CO2 level limits in MB. In residential buildings, the focus is on minimum flow rate and in non-residential buildings, both flow rate and air quality (CO2 levels) are emphasized.
In new residential buildings, the minimum requirement is providing at least 0.35 l/sm2 (Atemp) outdoor fresh air by the ventilation system. In non-residential buildings, 7 l/s per person should be added and to get higher grades. For Silver and Gold, CO2 level should not exceed 1000 and 900 ppm respectively, except for temporary occasions. If the ceiling height in non-residential buildings is more than 3 m, smaller flow rates can be accepted if the CO2 levels are within the accepted limits. In addition, the 1000 ppm CO2 limits is per room and for the number of occupants the room is designed for [5]. The grading criteria for indicator of ventilation is shown in Table 8.
Indicator 7 | BRONZE | SILVER | GOLD |
---|---|---|---|
Residential building | Fresh outdoor flow rate ≥ 0.35 l/s·m2 Atemp | Bronze + | Silver + |
Building care-taking routines for control of air quality. | Exhaust flow in kitchen according to Table 3. | Exhaust flow in kitchen according to Table 3 | |
Approved questionnaire or measurement. | |||
Non-residential buildings | Fresh outdoor flow rate ≥ 7 l/s and person +0.35 l/s·m2 Atemp. Building care-taking routines for control of air quality. | Bronze + CO2 concentration in the room should not exceed 1000 ppm except in very temporarily occasions | Silver + Alternative 1: Approved questionnaire. Alternative 2: Locally measured ventilation index ≥90% in the occupied room Alternative 3: CO2 concentration in the room should not exceed 900 ppm except in very temporarily occasions. |
The grading criteria for Indicator 7 ventilation [5].
In addition, for the ventilation of wet rooms such as kitchen, bathroom, washroom and toilet, the minimum exhaust flow is 10 l/s. Moreover, for kitchens, there should be a minimum 10 l/s flow with at least 75% capture efficiency for the air pollutions and contaminants emitted during cooking and food preparation. The capture efficiency limits require efficient ventilation hoods equipped with carbon filters or other type of filters, which in turn may lead to larger fans with higher power and energy use. Thus, it will be more challenging to get a higher grade for the ventilation indicator and at the same time get higher grades for energy indicators.
According to Table 8, in order to get Gold, the criteria for Silver must be fulfilled and a questionnaire should be provided among the building users or to have measurement of ventilation index. This additional criterion is important and well-suited since specifying required ventilation rates cannot guarantee an adequately low exposure to indoor pollutants. Guidelines by The Swedish Work Environment Authority address the important question of efficient air distribution. In addition, dissatisfaction with the quality of the indoor air cannot only be explained by incorrect ventilation, but also by the fact that the activities in the building/room could have changed after the design.
Ventilation index is a measure on how well the interior is ventilated and is defined according to Eq. 6 below:
Csp = set-point value of the average pollutant concentration in the occupied zone, ppm or mg·m−3.
Ci = pollution concentration in the supply air, ppm or mg·m−3.
Ce = pollution concentration in the exhaust air, ppm or mg·m−3.
Ꜫc = the ventilation index or ventilation effectiveness for contaminant removal.
Ventilation index is 1.0 for perfect mixing condition because the concentration in the exhaust is the same as in the whole occupied zone. Ventilation index below 0.9 indicates ill-functioning air distribution in the room such as short-cuts and stagnation zones. To be able to get Gold for the ventilation indicator, the measured ventilation index should be more than 90% in the occupied zone. Alternatively, for the non-residential buildings, the measured CO2 levels should be below 900 ppm. As many building energy simulation programs assume a well-mixed condition, which is not the case for stratified systems, it is suggested to prioritize measurements. Stratified ventilation is a concept that often creates high ventilation effectiveness (ventilation index over 1.0) and good indoor air quality [20, 21, 22, 23]. There are many different air distribution strategies creating stratified conditions, such as impinging jet ventilation, displacement ventilation and confluent jet ventilation. These systems have the potential to create better air quality that mixing ventilation or the same level of air quality as mixing ventilation but with lower air flow rates and hence energy use [24, 25, 26]. Personalized ventilation systems have even higher effectiveness with the possibility to achieve ventilation effectiveness above 3 [27].
The recommended/minimum air flow rates given in the European standard EN 16798.1 [28] and MB assume complete mixing in the room. For non-residential buildings ventilation rates could be adjusted by the ventilation effectiveness in accordance with the European Standard EN 16798–3 [29] if the air distribution differs from complete mixing. However, this is not allowed in MB, which is one weakness.
Ventilation unit or the air-handling unit affects the electricity load and the heating power demand (due to possible heating coils). The deciding parameters are the operation schedule, the specific fan power (SFP), flow rates and heat recovery. To guarantee an acceptable indoor air quality it is not possible to compromise on the ventilation requirements. However, a time-controlled ventilation system is more efficient and can save energy together with heat recovery from the exhaust airflow. Thus, effective and energy efficient ventilation systems (with low SFPs and higher heat exchanger efficiencies) are essential in order to get higher grades for MB indicators. To remove the contaminants and pollutants from the interior, it is also important to get the filters cleaned and have it instructed in the building care-taking schedule. Such routines and instructions can be implemented in the compulsory ventilation control protocol (OVK) of the building [30].
Uncontrolled ventilation through air leakages is not included in the indicator. Air leakage influences ventilation and stands for a part of transmission losses and affect the heating power indicator as well as the total energy use [31, 32]. Building air tightness is not directly defined in the Swedish building regulation codes and it is not specified in this indicator. It can also increase the heating power demand and building energy use. Thermal comfort especially during winter can be affected due to possible draft and unwanted cold airflow from outdoor connected leakage and openings to occupancy zone. Therefore, it is suggested to add airtightness as a separate indicator, expecting minimum air tightness for newly and modern building and rewarding airtight building. An airtight building can decrease the energy use throughout the year while maintaining the thermal comfort level. In addition, it is suggested to perform airtightness measurement during the building process so that the possible leakage can be detected and get fixed with the minimum costs. This should be implemented in the regulations and criteria so that it can be verified and followed later on. Air leakage does also affect the ventilation designed flow and pressures and there is not any guide or recommendations on that. An indicator for air tightness, which can be merged with the indicator for ventilation into one aspect for ventilation would therefore be appropriate.
In addition, possibilities of airing, i.e. opening external doors and windows is important to occasionally introduce extra fresh air. This is considered for ventilation of bathrooms. However, it can be also considered for the main occupancy rooms. Airing is used also as a cooling method to adjust the inside temperature and in this case, it saves cooling energy; however, in the heating season, airing will increase the energy use by at least 4 kWh/m2 and year [8, 9].
Thermal climate in winter, indicator 9 in MB, is essential in cold climates like in Sweden, and linked to the indicator
To get the Bronze grade, the PPD should be less than 15% with DVUT, and building care-taking routines should be provided to control the thermal climate and thermal comfort in winters. The routine should include the function of the heating system, control measurement of the temperature, user questionnaire or manuals to fix the issues leading to possible complaints (regarding the thermal comfort). The PPD should be calculated for a critical room located on a top floor with steady occupants the PPD can be calculated for several rooms and the critical rooms with highest PPD numbers can be chosen to fulfill the criteria.
For Silver grade, the PPD should be less than 10% with DVUT and for Gold, a questionnaire or measurement should be provided. The questionnaire and measurement are done during a year with its specific weather, however, PPD is calculated within the design temperature, DVUT. The weather during the measurement year might be quite different from a normal year, and this would affect the thermal comfort results.
A building has the capacity to store heat and release it when it gets colder, thus it affects the choice the DVUT within the same climate, i.e., a heavier building can withstand more temperature variations than a building with less thermal mass. For calculation of DVUT the building thermal mass is considered as one day and night (24 hours) and without the heating gain from solar and the internal loads (occupants, devices and lighting). Thus, it has been considered a worst scenario, i.e., the building is considered light and one of the reasons is that the thermal comfort should be measured in individual rooms (with lower thermal mass in compare with the whole building) and not for the whole building.
Unwanted cold air movement is called downdraft and might worsen the thermal comfort especially during winter. Air speed is specified and measured in the occupancy zone, 0.5 m inside of wall/window. In the simulation models, it is considered as 0.15 m/s for air speeds in the occupied room, but temporarily, there might be higher air speeds for instance if the person is sitting too close to a window with downdraft especially during colder periods. This will also lead to an increase in PPD and thermal dissatisfaction, however, it is difficult to simulate draft and more detailed CFD simulations would be needed.
Thermal climate in summer is decided based on the PPD index in a critical warm and sunny day. The assessments can be based on indicator 2, solar heat load together with the building management routines. For Bronze, Silver and Gold grades, the PPD should be less than 20, 15 and 10% with the most critical conditions, respectively. To get Silver, the building should be equipped with openable windows and doors (in residential buildings) and to get Gold, questionnaire or measurement should be provided [5].
For building without cooling facilities, the grading for the thermal climate in summer is referred to indicator 2, which is about reducing solar heat loads during the summer. For buildings without cooling system, the critical room should have internal loads (occupants, appliances and lighting) below 20 W/m2. The PPD should be calculated for a critical room located on a top floor with steady occupancy; the PPD can be calculated for several rooms and the critical rooms with highest PPD numbers can be chosen to fulfill the criteria.
Having smaller windows would lead to less solar heat gain during summer and improve the grade for indicator 10. However, the smaller window size would also decrease the received daylight, which makes it more challenging to get enough daylight. In addition, it will decrease the building’s purchased heating energy during winter and hence benefit indicator 3, the energy use. There might be a balance between the window size and the related indicators for solar heat gain, energy use, thermal climate and daylight. Research studies have shown that, the building equipped with modern windows (lower U-values and transmission losses as well as higher visible light transmittance) can have higher window areas and still fulfilling the criteria for both solar heat gain, thermal comfort and daylight requirements [35]. Also airing possibilities should be limited to the time when the indoor temperature is lower than the outdoor. For instance, in case of heat waves, it is better to have the windows closed during the daytime and instead, if possible, have them opened during the night, when it is cooler, i.e. night cooling ventilation [36].
One problem and weakness with the requirements for Gold is that the questionnaires and measurements are done during a specific summer with its specific weather, whereas, calculations are performed using historical weather data (normal year based on 1981–2010). This means that the fulfillment of Gold depends much on how warm the hottest day, in relation to the normal year, have been for the specific summer the measurements or questionnaires have been performed. Therefore, it is also suggested for the design and calculation of indicator Thermal climate in summer to use more extreme summer conditions than the typical year based on 1981–2010.
The windows in the building, their location, size, light transmission factor and U-value, have a large impact on the daylight condition, the solar heat load, energy use and indoor comfort discussed earlier. They also influence the indoor light quality in the building, which affect the people using the building. Human eyes have evolved in sunlight and therefore responds much better to it than artificial light. In addition, it can be troublesome for people to work in a room without windows with no awareness of the weather and contact with the outdoors. We spend around 80–90% of our lives within buildings and numerous research studies have demonstrated and indicated that glazing has profound implications in terms of human health, happiness and productivity [37, 38, 39, 40], and in northern countries lack of daylight can lead to Seasonal Affective Disorder (SAD), a syndrome characterized by recurrent depressions that occur annually at the same time each year which is affected by access to daylight [41].
In MB, indicator
Percentage of outlook area (with view to the outside) can be applied for workplaces in sales halls and halls (rooms with high ceilings that are intended for, e.g. sports, warehouses, trade fairs, light industry and logistics) and associated facilities that are only used temporarily. Then the proportion of view area (outlook area) is defined as being able to look out with 5° or more indoors at a height of 1.5 m, both horizontally and vertically. Floor area where these conditions are met is defined as the view area or outlook area and is expressed as a proportion of the whole floor surface.
Daylight affects the total energy use in a building as the penetrated light into the building will turn into heat and increase the internal gain. This will lead to a decrease of heating demand in the heating season and increase in the cooling demand in the cooling season. The heated parts inside the building will get higher temperatures, and in addition, the air around the floor areas will be warmed up and create plumes which also affect the thermal comfort especially during the summer season. The same phenomena might improve the thermal comfort during the winter period.
Increased glazing area will lead to more daylight. However, the transmission losses through the windows will also be increased. Thus, there is a trade-off between the glazing area (which transmit the daylight) and the total energy use, thermal comfort and solar thermal load. The buildings equipped with new modern windowpanes with lower U-values and transmission losses as well as higher visible light transmittance, can have higher glazing areas, providing more daylight with acceptable thermal comfort during summer and at the same time keeping the energy use low [35]. Obviously, this comes with the penalty of higher initial cost of the windows.
The criteria in MB regarding daylight can be difficult to reach if designing and building a thick/deep building were the rooms are deeper than 6 m. Even though median DF can be used as indicator, it can be difficult to compensate the lack of daylight in the rooms with light areas closer to the windows. Getting enough daylight can also be a problem for tall buildings located in dense and highly populated city districts with narrow streets. Alternatively, if large balconies are blocking light from the sky. In addition, for residential building, some rooms such as bedrooms are protected so that the interior cannot be viewed from the neighbors and the privacy can be obtained. In such cases, if there are surrounding buildings, it will be challenging to receive enough daylight especially for rooms located in the lower floor levels.
It can therefore be discussed if it could be possible to adjust the indicator and focus on daylight demand in the rooms where there is less demand of privacy and accept lower DF in other rooms. Then rooms where people spend most of their awake time at home, like the dining or living rooms, would have to meet high DF criteria. A total median or medium DF in a whole apartment could also be another way to make the indicator more flexible. However, a risk could be that rooms with very poor DF conditions would be designed and built. The occupants view on the daylight could also be asked via questionnaires, especially in the rooms with low DF levels.
Internationally, there are examples that the limit values for sufficient amount of daylight are set differently depending on room and building function as opposed to the static approach, which is used in MB [43]. The indicator could also develop to use more dynamic daylight performance metrics that consider the quantity and character of daily and seasonal variations of daylight for a given building site [44]. Today the criteria are the same for a building independent if it is located in the northern and southern Sweden. Hence, one should consider implementing a more dynamic approach for daylight in MB.
In the material area, indicator 15
Building’s life cycle stages according to EN 15978 (2011) [
For the grade Silver and Gold, emissions from transports (Stage A4) are included as well as a requirement that a certain part of the life cycle analysis data comes from EPDs (Environmental Product Declarations). Gold rating requires proving of reduction of GHG emissions by at least 10% lower than the Silver level for the already chosen building design, frame and foundation. This can be done, for example, through changes of material choice, dimensions or quantities in the load-bearing structure.
When analyzing what impact the indicator has on greenhouse gas (GHG) emissions and energy use, there are a number of issues that can be discussed. To start with the indicator in general, it does not have absolute criteria with a specific absolute level of emissions that the building has to meet. This makes it difficult to compare the environmental performance of different buildings. However, for the Gold level is a relative decrease of 10% required. This type of relative criteria that credit an improvement compared to a reference building, is similar to indicators used in the American EAM LEED (Leadership in Energy and Environmental Design) [49] and the British BREEAM (Building Research Establishment Environmental Assessment Method) [50]. Moreover, the decrease is calculated relative to an optional pre-design that can be designed as a worst case scenario with high levels of embodied GHG emissions. Other research show that the GHG emissions from buildings can vary a lot, between 165 and 665 kg CO2e/m2 for residential buildings and 355–580 kg CO2e/m2 for office buildings (first quartile and third quartile) [46]. Therefore, 10% lower GHG emissions than a building with high levels of embodied GHG emissions can still be much higher than the average levels of embodied GHG emissions. At the same time it is difficult to set more absolute targets or criteria as there are many aspects of the design of a building that influence the choice of material and the amount of material needed in the load-bearing structure. The same reason makes it difficult to have a reference building or reference GHG emissions to measure the buildings performance against.
Moreover, for Bronze, only generic data may be used which will not promote choosing materials with lower environmental impact within a product or material group. For Silver and Gold, it is different. Then at least 50% vs. 70% of the climate impact for the production of the building materials need to be based on product-specific EPDs. Then specific products or materials can be promoted. A variety of parameters and methodological choices influence LCA and EPDs. The embodied GHG levels in the generic data used in LCA tools used for the MB assessment is therefore of great importance. Values can vary a lot making the choice of used data important [51]. For example, the median of embodied carbon per kg concrete is equal to 0.19 kg CO2e/kg, and has rather small variability of outcomes, (the interquartile range varies between 0.14 and 0.28 kg CO2e/kg), and the interquartile range of structural steel can vary between 1.7 and 2.8 kg CO2e/kg, with total variation ranging from 0.34 to 4.55 kg CO2e/kg [52]. The chosen generic embodied GHG emission data for steel can thus influence if the material is perceived as a more environmental material in comparison to another material with an EPD and what the buildings absolute calculated embodied GHG emissions will be.
As mentioned before, buildings embodied GHG emissions represent a large proportion of a buildings total life cycle emissions. In indicator 15, part of this embodied GHG emissions are included as only the load-bearing structure belonging to the frame is accounted for (here meaning load-bearing walls, pillars, beams, floors and foundation down to the drainage layer). Other parts of the building are not included, such as the building envelope or entire internal or external walls. Nor is technical equipment or finishing materials included.
Other studies indicate that variations regarding the embodied GHG for only the structure can be 200–350 kgCO2e/m2 and for the whole building 600–850 kg CO2e /m2 [53]. Thus, the embodied GHG in the structure can, according to this data, represent between 25 and 40% of the buildings total embodied GHG emissions. The embodied GHG emissions from a building can also be influenced by the building’s geographical contexts, climate zones and building type [46].
Another system boundary aspect is that all life cycle stages are not included; only stages A1-A4. Other life cycle phases such as maintenance, replacements or end of life, which deals with an uncertain future, are excluded. This is in line with the Cradle-to-Gate approach which is one of the three different life cycle models for buildings system boundary that EN 15978 proposes [54], which is used in EPDs. The other ones are Cradle-to-Grave, which also include buildings use phase and end of life impacts, and Cradle-to-Cradle which include potential benefits of reuse, recovery and/or recycling potentials. One consequence of MBs limited life cycle perspective is that material aspects linked to the future that may influence the environmental impact of a material during the use phase from a 50 to 100 year perspective are not taken into consideration. The benefits with long lasting products with low maintenance and replacement rate are thus not getting any credits. There is therefore a risk that suboptimizations are made. On the other hand is it not possible to have exact data beforehand regarding future management, refurbishments, service and end of life procedures. If not including future lifecycle stages in some way, the indicator does not differentiate between materials that are recyclable and non-recyclable. It is not clear how the environmental impact of recycled and reused products, or the potential benefits with reusing, or recycling the material should be calculated. For the generic data in the tool, materials with recycled content is not an option.
Another issue very close to the system boundary aspect is the room for variations in results when calculating the amount of materials that are included in the load bearing structure. Variations can be based on how detailed the structure is dimensioned, and the marginal regarding loads that has been used, as well as the detailing in calculation, for example if it is based on a BIM model or if it is based on general data linked to square meters of slabs, walls, etc. Variations in how Atemp is measured can also influence the results. If a building has a large garage, storage in the attic, or installation/service room for ventilation equipment that is heated above 10°C, it will be included as part of the Atemp. The number of square meters in Atemp will then increase and lower the calculated GHG emissions from the structure per square meter. This is the effect even though the amount of useable floor area in the building is the same as for a similar building without the same additional areas.
MB clearly states that it wants to promote the use of EPDs, which contain reliable and verifiable LCA-based information as a way to promote more specific and accurate LCA data for used materials. EPDs are in one way essential if wanting to compare and assess construction products environmental performance [55]. It is one way to get the building industry aware of the environmental impact from building products. However, there is no clear cause-effect relationship between environmental impact and use of EPD documented materials compared to materials lacking EPD. On one hand, companies doing EPDs will become aware of the GHG emissions and the EPD can also be an incentive motivating producers to develop and retailers to sell products with lower GHG emissions [56] which may promote development of products with lower embodied GHG emissions. On the other hand, local materials or reused materials produced by small and medium-sized enterprises (SMEs), local companies, or new startups might not have the economic power or see economic reasons for doing EPDs. They could then be outcompeted by other materials and larger companies who are able to put in the necessary investment in doing an EPD, which according to surveys are 13,000–41,000 USD and includes a workload of 22–44 person-days [56]. This can be a substantial cost for SMEs.
To achieve silver or gold Indicator 15 also demands documentation of transport of building material and products with generic information of GHG emissions from trucks, trains, boats and airplanes. This criteria has the potential to make building companies aware of the impact transportation distance and way of transport has on the GHG emissions. However, there are no criteria levels for total emissions from transport and there are no differentiation made between different fuels, even though there is a large difference in emissions from trucks with fossil fuels, bio-fuels or electricity as fuel and also between electric trains and trains using fossil fuels. These differences would be appropriate to include in such a calculation. If this is not included, the indicator will not push the industry towards using transportation methods with low emitting fuels.
With the current situation, Indicator 15 has no direct measurable impact on the lowering the embodied GHG emissions from buildings. The 10% reduction criteria for Gold could give some effect. However, the impact is dependent on what construction material that is used for the optional pre-design building that is improved. Moreover, to understand if this 10% reduction is enough for lowering the GHG emissions from the building structure, one has to look at how much the GHG emission levels for buildings need to be decreased and set benchmarks for buildings. Creating benchmarks is difficult and could be one reason why MB at this stage not has any absolute criteria regarding embodied GHG emissions. Benchmarks can be set in different ways. These can be based on a relative improvement of conventional buildings average GHG emissions. As more and more LCA studies are conducted, this type of data will increase and become more available, but there have already [57] been attempts to create benchmarks. The Swedish certification system NollCO2 or the Swiss SIA 2040 [58] are established benchmarks, which could be used. For example NollCO2 demands a reduction in energy use and GHG emissions from building materials (phase A1-A5) in comparison with calculated project specific reference building based on parameters for building materials and systems. Furthermore, measures to reach net zero through balancing the remaining GHG emissions are demanded [57]. Different types of reference buildings have different GHG emission criteria levels and the specific projects receives a project-specific limit value that is approximately 30% lower than the baseline, which is expressed in kgCO2e/m2 BTA. This varies between 140 and 312 kgCO2e/m2 depending on type of building, layout and design [59]. The Swiss SIA 2040 benchmark is based on the German Environment Agency goal of reducing GHG emissions to 1 t CO2e per capita per year by the year 2050 [60] to be able to achieve the target of staying below a global temperature increase of “well below 2 °C”. Benchmarks for GHG emissions from buildings represent 36% of these GHG emissions, i.e. 360 kg CO2e per capita per year. To follow the Swiss SIA with benchmarks with GHG emissions per capita the number of square meters per capita also needs to be decided upon. What would then be a reasonable level number of square meter per capita and for future GHG emission targets for buildings? As an example, four Swedish buildings that have been MB certified had embodied GHG emissions between 110 and 305 kg CO2e/Atemp. It is forecasted that there is a need to build 592,000 new homes until 2029 in Sweden [61], i.e. 65,778 homes per year, for a population that was 10.3 million inhabitants 2020 and is estimated to reach 11 million in 2029 [61]. If each home is 50 m2 this would result in 0.3 m2 new housing per year per inhabitant and 35–97 kg CO2e/ year per inhabitant in GHG emissions from the load bearing structure of these houses if built as the certified buildings. If compared to the Swiss SIA carbon benchmarks, GHG emissions from structure of new housing would represent 10–20% of the total GHG emission budget per inhabitant in Sweden. Working with lowering the embodied GHG emissions from building is thus an important issue. Especially in countries like Sweden where the GHG emissions from the average district heating and the Nordic electricity mix is comparably low (0.059 kg CO2e/kWh [62] vs. 0.090 kg CO2e/kWh [63], keeping in mind that MB and forthcoming mandatory climate declaration of buildings consider only phases A1-A5.
How and on what level the GHG benchmarks for buildings should be set has not been elaborated on more in this study. However, it can be concluded that to have ambitious and effective climate mitigation targets, it is necessary to develop clear targets that are transparent and consider both embodied GHG emissions and operational GHG emissions. This would be the next step for MB indicator 15 - to ensure that the impact influence building design to lower the buildings embodied GHG emissions. Despite the fact that indicator 15 does not have any benchmark levels at the moment, several certified buildings have only reached the Bronze level. The reason behind this is not clear. If they were searching for a total Gold score, they would have needed to have Silver on this indicator. If fixed benchmarks with GHG emission criteria would be welcomed or not by the buildings sector is difficult to know, but it is not promising when the indicators without benchmarks are not reached.
This study has scrutinized nine of the indicators with the strongest link to GHG emissions in the Swedish environmental assessment tool MB. It has highlighted a number of things with the indicators that influence what aspects of building that are assessed and has a potential to also influence the GHG emissions, building design and choice of building systems. It clarifies the strong link MB has to the Swedish energy regulations and how both MBs’ and BBRs’ energy aspects are linked to the national energy system.
In general, MBs certification system is highly appreciated covering different aspects of the energy use, indoor environment as well as the material choice of the building. The follow-up inspection (within three years after the built/renovation) verify the gained certification grade and guarantee sustainable choices and good performance. Therefore, MB is an effective system with a comprehensive view on environmental assessment of buildings. However, a few limitations with the indicators and how the criteria drive sustainable building design have been identified. To improve the assessment criteria and make it even more handy and applicable the most important conclusions are here presented for the areas Energy, Indoor environment and Material:
Conclusions regarding energy-related indicators:
The power demand of buildings addressed in MB is important to limit peak demand related emissions. Analysis of quantification methods and the criterions conclude that the unit for quantification, space heat losses divided by envelope area, may lead to less energy efficient building design; design outdoor temperatures or climate files for simulation should be based on future climate projections. The criterions set by MB involve energy factors, which do not reflect power demand.
The solar thermal load assessment serves to reduce cooling demand. The major criticism is whether or not STL should be allocated in junction with the summer thermal comfort indicator instead of in the energy area. Introduction of a cooling demand indicator as a whole (considering solar thermal, internal heat loads and climate changes) is more justified.
Energy use is completely based on BBR procedures, which is an advantage in the design and building permit processes. However, BBR criteria, hence MB’s criteria, are dependent on weighting factors to assess primary energy use. These are not primary energy factors. Instead of leading to neutrality among heating systems types, results are biased and may lead to increased emissions since characteristics of local energy systems are not considered. The question is linked to the indicator
Conclusions regarding the indoor climate indicators:
To guarantee an acceptable indoor air quality, it is not possible to compromise on the ventilation requirements in MB. Effective and energy efficient ventilation systems (with low SFPs and higher heat exchanger efficiencies and scheduled use based on the actual demand) are essential in order to get higher grades for MB indicators. For non-residential buildings, it is suggested that ventilation rates could be adjusted by the ventilation effectiveness in accordance with European Standard to incite energy-efficient air distribution systems.
A separate indicator for air tightness is suggested. It affects draft, thermal comfort, heat power demand and energy use. Expecting minimum air tightness for newly and modern building and rewarding airtight buildings could be an indicator merged with the indicator for ventilation. Airtightness measurements during the building process and after completion could be demanded to detect and fix possible air leakages.
To assure good thermal comfort, it is suggested that performed modeling and simulations are also made with representative weather for the specific location. The thermal comfort criteria in MB is based on PPD, calculated within the design temperature, DVUT, which is based on a 30-year period, available for 1981–2010. The weather during the measurement year might be quite different from a normal year, and this would affect the thermal comfort results. This yields in general for other indicators and for the calculation and simulation of the energy and thermal comfort.
The most important conclusions regarding the material indicator are:
The actual effect of the indicator on building design, GHG emissions and the environment can be questioned when the indicator does not include absolute criteria that demand a measurable reduction of the embodied GHG emissions.
There is a large part of the building that is not included in the LCA as it is not part of the load-bearing structure, and there are life cycle stages that not are considered. Therefore, the indicators lose the possibility to reduce GHG emissions from many building parts and do not encourage building with recyclable material or material with low environmental impact from a longer life cycle perspective.
Next step to assure the indicator pushes buildings to lower embodied GHG emissions would be to set some type of benchmarks for maximum embodied GHG emissions.
Moreover, a clearer distinction between local environmental aspects, which mainly concern local environment, health, and quality aspects, versus global environmental aspect would be welcomed. It would make the existing conflict between environmental quality and environmental loads, which affect building design, environmental assessment tools, and environmental decision-making in general, more visible.
MB is a certification system that pushes building design and the building sector towards more environmental and high-quality buildings. However, the indicators and criteria seam to beset to improve conventional buildings. To reach the environmental targets in the building and property sector, especially regarding GHG emissions, and make the urban transition that is necessary the indicators and criteria levels need to be adopted more towards these environmental targets.
The comments and fruitful discussions with Agneta Persson, Andreas Hagnell, Eje Sandberg, Jonas Gräslund and Mauritz Glaumann are deeply appreciated.
The authors declare no conflict of interest.
Funding of the study by the Swedish Energy Agency, E2B2 program, is greatly acknowledged (Dnr: 2018–016216).
Atemp | Floor area that is heated above 10°C |
Aenv | Building envelope area |
BBR | Boverket’s Building Regulations |
BIM | Building information modeling |
CFD | Computational fluid dynamics |
CHP | Combined heat and power plant |
CO2e | Carbon dioxide equivalent |
DF | Daylight factor |
DH | District heating |
DHW | Domestic hot water |
DVUT | Design winter outdoor temperature |
EPD | Environmental product declaration |
EPpet | Primary energy number |
Fgeo | Geographic factor according to BBR |
GHG | Green house gases |
gsys | Solar heat gain coefficient for windows and shading devices |
HLKK | Heat loss form factor |
HP | Heat pump |
LCA | Life cycle assessment |
MB | Miljöbyggnad |
PPD | Predicted percentage of dissatisfied |
SAD | Seasonal Affective Disorder |
SCOP | Seasonal coefficient of performance |
SFP | Specific fan power |
SGBC | Sweden Green Building Council |
STL | Summer thermal load |
USD | US Dollars |
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Watt",authors:[{id:"145620",title:"Dr.",name:"Gina",middleName:null,surname:"Forster",slug:"gina-forster",fullName:"Gina Forster"},{id:"146553",title:"BSc.",name:"Andrew",middleName:null,surname:"Novick",slug:"andrew-novick",fullName:"Andrew Novick"},{id:"146554",title:"MSc.",name:"Jamie",middleName:null,surname:"Scholl",slug:"jamie-scholl",fullName:"Jamie Scholl"},{id:"146555",title:"Dr.",name:"Michael",middleName:null,surname:"Watt",slug:"michael-watt",fullName:"Michael Watt"}]},{id:"26258",doi:"10.5772/28300",title:"Excitotoxicity and Oxidative Stress in Acute Ischemic Stroke",slug:"excitotoxicity-and-oxidative-stress-in-acute-ischemic-stroke",totalDownloads:7207,totalCrossrefCites:6,totalDimensionsCites:27,abstract:null,book:{id:"931",slug:"acute-ischemic-stroke",title:"Acute Ischemic Stroke",fullTitle:"Acute Ischemic Stroke"},signatures:"Ramón Rama Bretón and Julio César García Rodríguez",authors:[{id:"73430",title:"Prof.",name:"Ramon",middleName:null,surname:"Rama",slug:"ramon-rama",fullName:"Ramon Rama"},{id:"124643",title:"Prof.",name:"Julio Cesar",middleName:null,surname:"García",slug:"julio-cesar-garcia",fullName:"Julio Cesar García"}]},{id:"62072",doi:"10.5772/intechopen.78695",title:"Brain-Computer Interface and Motor Imagery Training: The Role of Visual Feedback and Embodiment",slug:"brain-computer-interface-and-motor-imagery-training-the-role-of-visual-feedback-and-embodiment",totalDownloads:1477,totalCrossrefCites:13,totalDimensionsCites:25,abstract:"Controlling a brain-computer interface (BCI) is a difficult task that requires extensive training. Particularly in the case of motor imagery BCIs, users may need several training sessions before they learn how to generate desired brain activity and reach an acceptable performance. A typical training protocol for such BCIs includes execution of a motor imagery task by the user, followed by presentation of an extending bar or a moving object on a computer screen. In this chapter, we discuss the importance of a visual feedback that resembles human actions, the effect of human factors such as confidence and motivation, and the role of embodiment in the learning process of a motor imagery task. Our results from a series of experiments in which users BCI-operated a humanlike android robot confirm that realistic visual feedback can induce a sense of embodiment, which promotes a significant learning of the motor imagery task in a short amount of time. We review the impact of humanlike visual feedback in optimized modulation of brain activity by the BCI users.",book:{id:"6610",slug:"evolving-bci-therapy-engaging-brain-state-dynamics",title:"Evolving BCI Therapy",fullTitle:"Evolving BCI Therapy - Engaging Brain State Dynamics"},signatures:"Maryam Alimardani, Shuichi Nishio and Hiroshi Ishiguro",authors:[{id:"11981",title:"Prof.",name:"Hiroshi",middleName:null,surname:"Ishiguro",slug:"hiroshi-ishiguro",fullName:"Hiroshi Ishiguro"},{id:"231131",title:"Dr.",name:"Maryam",middleName:null,surname:"Alimardani",slug:"maryam-alimardani",fullName:"Maryam Alimardani"},{id:"231134",title:"Dr.",name:"Shuichi",middleName:null,surname:"Nishio",slug:"shuichi-nishio",fullName:"Shuichi Nishio"}]}],mostDownloadedChaptersLast30Days:[{id:"29764",title:"Underlying Causes of Paresthesia",slug:"underlying-causes-of-paresthesia",totalDownloads:193348,totalCrossrefCites:3,totalDimensionsCites:7,abstract:null,book:{id:"1069",slug:"paresthesia",title:"Paresthesia",fullTitle:"Paresthesia"},signatures:"Mahdi Sharif-Alhoseini, Vafa Rahimi-Movaghar and Alexander R. Vaccaro",authors:[{id:"91165",title:"Prof.",name:"Vafa",middleName:null,surname:"Rahimi-Movaghar",slug:"vafa-rahimi-movaghar",fullName:"Vafa Rahimi-Movaghar"}]},{id:"63258",title:"Anatomy and Function of the Hypothalamus",slug:"anatomy-and-function-of-the-hypothalamus",totalDownloads:4632,totalCrossrefCites:6,totalDimensionsCites:12,abstract:"The hypothalamus is a small but important area of the brain formed by various nucleus and nervous fibers. Through its neuronal connections, it is involved in many complex functions of the organism such as vegetative system control, homeostasis of the organism, thermoregulation, and also in adjusting the emotional behavior. The hypothalamus is involved in different daily activities like eating or drinking, in the control of the body’s temperature and energy maintenance, and in the process of memorizing. It also modulates the endocrine system through its connections with the pituitary gland. Precise anatomical description along with a correct characterization of the component structures is essential for understanding its functions.",book:{id:"6331",slug:"hypothalamus-in-health-and-diseases",title:"Hypothalamus in Health and Diseases",fullTitle:"Hypothalamus in Health and Diseases"},signatures:"Miana Gabriela Pop, Carmen Crivii and Iulian Opincariu",authors:null},{id:"57103",title:"GABA and Glutamate: Their Transmitter Role in the CNS and Pancreatic Islets",slug:"gaba-and-glutamate-their-transmitter-role-in-the-cns-and-pancreatic-islets",totalDownloads:3565,totalCrossrefCites:4,totalDimensionsCites:10,abstract:"Glutamate and gamma-aminobutyric acid (GABA) are the major neurotransmitters in the mammalian brain. Inhibitory GABA and excitatory glutamate work together to control many processes, including the brain’s overall level of excitation. The contributions of GABA and glutamate in extra-neuronal signaling are by far less widely recognized. In this chapter, we first discuss the role of both neurotransmitters during development, emphasizing the importance of the shift from excitatory to inhibitory GABAergic neurotransmission. The second part summarizes the biosynthesis and role of GABA and glutamate in neurotransmission in the mature brain, and major neurological disorders associated with glutamate and GABA receptors and GABA release mechanisms. The final part focuses on extra-neuronal glutamatergic and GABAergic signaling in pancreatic islets of Langerhans, and possible associations with type 1 diabetes mellitus.",book:{id:"6237",slug:"gaba-and-glutamate-new-developments-in-neurotransmission-research",title:"GABA And Glutamate",fullTitle:"GABA And Glutamate - New Developments In Neurotransmission Research"},signatures:"Christiane S. Hampe, Hiroshi Mitoma and Mario Manto",authors:[{id:"210220",title:"Prof.",name:"Christiane",middleName:null,surname:"Hampe",slug:"christiane-hampe",fullName:"Christiane Hampe"},{id:"210485",title:"Prof.",name:"Mario",middleName:null,surname:"Manto",slug:"mario-manto",fullName:"Mario Manto"},{id:"210486",title:"Prof.",name:"Hiroshi",middleName:null,surname:"Mitoma",slug:"hiroshi-mitoma",fullName:"Hiroshi Mitoma"}]},{id:"35802",title:"Cross-Cultural/Linguistic Differences in the Prevalence of Developmental Dyslexia and the Hypothesis of Granularity and Transparency",slug:"cross-cultural-linguistic-differences-in-the-prevalence-of-developmental-dyslexia-and-the-hypothesis",totalDownloads:3622,totalCrossrefCites:2,totalDimensionsCites:7,abstract:null,book:{id:"673",slug:"dyslexia-a-comprehensive-and-international-approach",title:"Dyslexia",fullTitle:"Dyslexia - A Comprehensive and International Approach"},signatures:"Taeko N. Wydell",authors:[{id:"87489",title:"Prof.",name:"Taeko",middleName:"N.",surname:"Wydell",slug:"taeko-wydell",fullName:"Taeko Wydell"}]},{id:"58597",title:"Testosterone and Erectile Function: A Review of Evidence from Basic Research",slug:"testosterone-and-erectile-function-a-review-of-evidence-from-basic-research",totalDownloads:1370,totalCrossrefCites:2,totalDimensionsCites:3,abstract:"Androgens are essential for male physical activity and normal erectile function. Hence, age-related testosterone deficiency, known as late-onset hypogonadism (LOH), is considered a risk factor for erectile dysfunction (ED). This chapter summarizes relevant basic research reports examining the effects of testosterone on erectile function. Testosterone affects several organs and is especially active on the erectile tissue. The mechanism of testosterone deficiency effects on erectile function and the results of testosterone replacement therapy (TRT) have been well studied. Testosterone affects nitric oxide (NO) production and phosphodiesterase type 5 (PDE-5) expression in the corpus cavernosum through molecular pathways, preserves smooth muscle contractility by regulating both contraction and relaxation, and maintains the structure of the corpus cavernosum. Interestingly, testosterone deficiency has relationship to neurological diseases, which leads to ED. Testosterone replacement therapy is widely used to treat patients with testosterone deficiency; however, this treatment might also induce some problems. Basic research suggests that PDE-5 inhibitors, L-citrulline, and/or resveratrol therapy might be effective therapeutic options for testosterone deficiency-induced ED. Future research should confirm these findings through more specific experiments using molecular tools and may shed more light on endocrine-related ED and its possible treatments.",book:{id:"5994",slug:"sex-hormones-in-neurodegenerative-processes-and-diseases",title:"Sex Hormones in Neurodegenerative Processes and Diseases",fullTitle:"Sex Hormones in Neurodegenerative Processes and Diseases"},signatures:"Tomoya Kataoka and Kazunori Kimura",authors:[{id:"219042",title:"Ph.D.",name:"Tomoya",middleName:null,surname:"Kataoka",slug:"tomoya-kataoka",fullName:"Tomoya Kataoka"},{id:"229066",title:"Prof.",name:"Kazunori",middleName:null,surname:"Kimura",slug:"kazunori-kimura",fullName:"Kazunori Kimura"}]}],onlineFirstChaptersFilter:{topicId:"18",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82953",title:"Early Visual Areas are Activated during Object Recognition in Emerging Images",slug:"early-visual-areas-are-activated-during-object-recognition-in-emerging-images",totalDownloads:4,totalDimensionsCites:0,doi:"10.5772/intechopen.105756",abstract:"Human observers can reliably segment visual input and recognise objects. However, the underlying processes happen so quickly that they normally cannot be captured with fMRI. We used Emerging Images (EI), which contains a hidden object and extends the process of recognition, to investigate the involvement of early visual areas (V1, V2 and V3) and lateral occipital complex (LOC) in object recognition. The early visual areas were located with a retinotopy scan and the LOC with a localiser. The participants (N=8) then viewed an EI, followed by the hidden object’s silhouette (disambiguation), and then, the EI was repeated. BOLD responses before and after disambiguation were compared. The retinotopy parameters were used to back-project the BOLD response onto the visual field, creating spatially detailed maps of the activity change. V1 and V2 (but not V3) showed stronger response after disambiguation, while there was no difference in the LOC. The back-projections revealed no distinct pattern or changes in activity on object location, indicating that the activity in V1 and V2 is not specific for voxels corresponding to the object location. We found no difference before and after disambiguation in the LOC, which may be repetition suppression counteracting the effect of recognition.",book:{id:"11374",title:"Sensory Nervous System - Computational Neuroimaging Investigations of Topographical Organization in Human Sensory Cortex",coverURL:"https://cdn.intechopen.com/books/images_new/11374.jpg"},signatures:"Marleen Bakker, Hinke N. Halbertsma, Nicolás Gravel, Remco Renken, Frans W. Cornelissen and Barbara Nordhjem"},{id:"82931",title:"Neuroinflammation in Traumatic Brain Injury",slug:"neuroinflammation-in-traumatic-brain-injury",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.105178",abstract:"Neuroinflammation following traumatic brain injury (TBI) is an important cause of secondary brain injury that perpetuates the duration and scope of disease after initial impact. This chapter discusses the pathophysiology of acute and chronic neuroinflammation, providing insight into factors that influence the acute clinical course and later functional outcomes. Secondary injury due to neuroinflammation is described by mechanisms of action such as ischemia, neuroexcitotoxicity, oxidative stress, and glymphatic and lymphatic dysfunction. Neurodegenerative sequelae of inflammation, including chronic traumatic encephalopathy, which are important to understand for clinical practice, are detailed by disease type. Prominent research topics of TBI animal models and biomarkers of traumatic neuroinflammation are outlined to provide insight into the advances in TBI research. We then discuss current clinical treatments in TBI and their implications in preventing inflammation. To complete the chapter, recent research models, novel biomarkers, and future research directions aimed at mitigating TBI will be described and will highlight novel therapeutic targets. Understanding the pathophysiology and contributors of neuroinflammation after TBI will aid in future development of prophylaxis strategies, as well as more tailored management and treatment algorithms. This topic chapter is important to both clinicians and basic and translational scientists, with the goal of improving patient outcomes in this common disease.",book:{id:"11367",title:"Traumatic Brain Injury",coverURL:"https://cdn.intechopen.com/books/images_new/11367.jpg"},signatures:"Grace Y. Kuo, Fawaz Philip Tarzi, Stan Louie and Roy A. Poblete"},{id:"82876",title:"Oxygen Tissue Levels as an Effectively Modifiable Factor in Alzheimer’s Disease Improvement",slug:"oxygen-tissue-levels-as-an-effectively-modifiable-factor-in-alzheimer-s-disease-improvement",totalDownloads:9,totalDimensionsCites:0,doi:"10.5772/intechopen.106331",abstract:"Despite the advance in biochemistry, there are two substantial errors that have remained for at least two centuries. One is that oxygen from the atmosphere passes through the lungs and reaches the bloodstream, which distributes it throughout the body. Another major mistake is the belief that such oxygen is used by the cell to obtain energy, by combining it with glucose. Since the late nineteenth century, it began to be published that the gas exchange in the lungs cannot be explained by diffusion. Even Christian Bohr suggested that it looked like a cellular secretion. But despite experimental evidence to the contrary and based only on theoretical models, the dogma that our body takes the oxygen it contains inside from the air around it has been perpetuated to this day. The oxygen levels contained in the human body are high, close to 99%, and the atmosphere only contains between 19 and 21%. The hypothesis that there is a supposed oxygen concentrating mechanism has not been experimentally proven to date, after almost two centuries. The mistaken belief, even among neurologists, that our body takes oxygen from the atmosphere is widespread, even though there is no experimental basis to support it, just theoretical models. Our finding that the human body can take oxygen from the water it contains, not from the air around it, like plants, comes to mark a before and after in biology in general, and the CNS is no exception. Therefore, establishing the true origin of the oxygen present within our body and brain will allow us to better understand the physio pathogenesis of neurodegenerative diseases.",book:{id:"11637",title:"Neuropsychology of Dementia",coverURL:"https://cdn.intechopen.com/books/images_new/11637.jpg"},signatures:"Arturo Solís Herrera"},{id:"82859",title:"Impact of Hypoxia on Astrocyte Induced Pathogenesis",slug:"impact-of-hypoxia-on-astrocyte-induced-pathogenesis",totalDownloads:6,totalDimensionsCites:0,doi:"10.5772/intechopen.106263",abstract:"Astrocytes are the most abundant cells of the central nervous system. These cells are of diverse types based on their function and structure. Astrocyte activation is linked mainly with microbial infections, but long-term activation can lead to neurological impairment. Astrocytes play a significant role in neuro-inflammation by activating pro-inflammatory pathways. Activation of interleukins and cytokines causes neuroinflammation resulting in many neurodegenerative disorders such as stroke, growth of tumours, and Alzheimer’s. Inflammation of the brain hinders neural circulation and compromises blood flow by affecting the blood–brain barrier. So the oxygen concentration is lowered, causing brain hypoxia. Hypoxia leads to the activation of nuclear factor kappa B (NFkB) and hypoxia-inducible factors (HIF), which aggravates the inflammatory state of the brain. Hypoxia evoked changes in the blood–brain barrier, further complicating astrocyte-induced pathogenesis.",book:{id:"10744",title:"Astrocytes in Brain Communication and Disease",coverURL:"https://cdn.intechopen.com/books/images_new/10744.jpg"},signatures:"Farwa Munir, Nida Islam, Muhammad Hassan Nasir, Zainab Anis, Shahar Bano, Shahzaib Naeem, Atif Amin Baig and Zaineb Sohail"},{id:"82839",title:"Neurophysiology of Emotions",slug:"neurophysiology-of-emotions",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.106043",abstract:"Emotions are automatic and primary patterns of purposeful cognitive-behavioral organizations. They have three main functions: coordination, signaling, and information. First, emotions coordinate organs and tissues, thus predisposing the body to peculiar responses. Scholars have not reached a consensus on the plausibility of emotion-specific response patterns yet. Despite the limitations, data support the hypothesis of specific response patterns for distinct subtypes of emotions. Second, emotional episodes signal the current state of the individual. Humans display their state with verbal behaviors, nonverbal actions (e.g., facial movements), and neurovegetative signals. Third, emotions inform the brain for interpretative and evaluative purposes. Emotional experiences include mental representations of arousal, relations, and situations. Every emotional episode begins with exposure to stimuli with distinctive features (i.e., elicitor). These inputs can arise from learning, expressions, empathy, and be inherited, or rely on limited aspects of the environment (i.e., sign stimuli). The existence of the latter ones in humans is unclear; however, emotions influence several processes, such as perception, attention, learning, memory, decision-making, attitudes, and mental schemes. Overall, the literature suggests the nonlinearity of the emotional process. Each section outlines the neurophysiological basis of elements of emotion.",book:{id:"11742",title:"Neurophysiology",coverURL:"https://cdn.intechopen.com/books/images_new/11742.jpg"},signatures:"Maurizio Oggiano"},{id:"82172",title:"Neuroimaging in Common Neurological Diseases Treated by Anticoagulants",slug:"neuroimaging-in-common-neurological-diseases-treated-by-anticoagulants",totalDownloads:7,totalDimensionsCites:0,doi:"10.5772/intechopen.105128",abstract:"Stroke imaging/Cerebral Venous sinus thrombosis/Arterial dissecting disease in Head and Neck regions/Neurocomplication of anticoagulation therapy. Nowsday, anticoagulant drugs are common drugs used in daily practice for patients in neurology clinic. Anticoagulant treatment used for treated symptomatic patients as well as for prophylaxis therapy in asymptomatic patients. The purpose of this chapter based on the review of essential neuroimaging in the most common neurological conditions that benefit from treatment with anticoagulant drugs such as ischemic stroke, cerebral venous sinus thrombosis, and arterial dissecting disease of head and neck arteries and will be enclosed with neuroimaging in case of neurocomplication by anticoagulant therapy.",book:{id:"11742",title:"Neurophysiology",coverURL:"https://cdn.intechopen.com/books/images_new/11742.jpg"},signatures:"Pipat Chiewvit"}],onlineFirstChaptersTotal:12},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:141,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:124,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:22,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"23",title:"Education and Human Development",doi:"10.5772/intechopen.100360",issn:null,scope:"\r\n\tEducation and Human Development is an interdisciplinary research area that aims to shed light on topics related to both learning and development. 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",coverUrl:"https://cdn.intechopen.com/series/covers/23.jpg",latestPublicationDate:"August 12th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:0,editor:{id:"280770",title:"Dr.",name:"Katherine K.M.",middleName:null,surname:"Stavropoulos",slug:"katherine-k.m.-stavropoulos",fullName:"Katherine K.M. Stavropoulos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRdFuQAK/Profile_Picture_2022-05-24T09:03:48.jpg",biography:"Katherine Stavropoulos received her BA in Psychology from Trinity College, in Connecticut, USA and her Ph.D. in Experimental Psychology from the University of California, San Diego. She completed her postdoctoral work at the Yale Child Study Center with Dr. James McPartland. Dr. Stavropoulos’ doctoral dissertation explored neural correlates of reward anticipation to social versus nonsocial stimuli in children with and without autism spectrum disorders (ASD). She has been a faculty member at the University of California, Riverside in the School of Education since 2016. Her research focuses on translational studies to explore the reward system in ASD, as well as how anxiety contributes to social challenges in ASD. She also investigates how behavioral interventions affect neural activity, behavior, and school performance in children with ASD. She is also involved in the diagnosis of children with ASD and is a licensed clinical psychologist in California. She is the Assistant Director of the SEARCH Center at UCR and is a faculty member in the Graduate Program in Neuroscience.",institutionString:null,institution:{name:"University of California, Riverside",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:2,paginationItems:[{id:"89",title:"Education",coverUrl:"https://cdn.intechopen.com/series_topics/covers/89.jpg",isOpenForSubmission:!1,annualVolume:null,editor:{id:"260066",title:"Associate Prof.",name:"Michail",middleName:null,surname:"Kalogiannakis",slug:"michail-kalogiannakis",fullName:"Michail Kalogiannakis",profilePictureURL:"https://mts.intechopen.com/storage/users/260066/images/system/260066.jpg",biography:"Michail Kalogiannakis is an Associate Professor of the Department of Preschool Education, University of Crete, and an Associate Tutor at School of Humanities at the Hellenic Open University. He graduated from the Physics Department of the University of Crete and continued his post-graduate studies at the University Paris 7-Denis Diderot (D.E.A. in Didactic of Physics), University Paris 5-René Descartes-Sorbonne (D.E.A. in Science Education) and received his Ph.D. degree at the University Paris 5-René Descartes-Sorbonne (PhD in Science Education). His research interests include science education in early childhood, science teaching and learning, e-learning, the use of ICT in science education, games simulations, and mobile learning. 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