Characteristics of the retail display cabinets [10].
\r\n\tIn sum, the book presents a reflective analysis of the pedagogical hubs for a changing world, considering the most fundamental areas of the current contingencies in education.
",isbn:"978-1-83968-793-8",printIsbn:"978-1-83968-792-1",pdfIsbn:"978-1-83968-794-5",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,hash:"b01f9136149277b7e4cbc1e52bce78ec",bookSignature:"Dr. María Jose Hernandez-Serrano",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10229.jpg",keywords:"Teacher Digital Competences, Flipped Learning, Online Resources Design, Neuroscientific Literacy (Myths), Emotions and Learning, Multisensory Stimulation, Citizen Skills, Violence Prevention, Moral Development, Universal Design for Learning, Sensitizing on Diversity, Supportive Strategies",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 14th 2020",dateEndSecondStepPublish:"October 12th 2020",dateEndThirdStepPublish:"December 11th 2020",dateEndFourthStepPublish:"March 1st 2021",dateEndFifthStepPublish:"April 30th 2021",remainingDaysToSecondStep:"3 months",secondStepPassed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dr. Phil. Maria Jose Hernandez Serrano is a tenured lecturer in the Department of Theory and History of Education at the University of Salamanca, where she currently teaches on Teacher Education. She graduated in Social Education (2000) and Psycho-Pedagogy (2003) at the University of Salamanca. Then, she obtained her European Ph.D. in Education and Training in Virtual Environments by research with the University of Manchester, UK (2009).",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"187893",title:"Dr.",name:"María Jose",middleName:null,surname:"Hernandez-Serrano",slug:"maria-jose-hernandez-serrano",fullName:"María Jose Hernandez-Serrano",profilePictureURL:"https://mts.intechopen.com/storage/users/187893/images/system/187893.jpg",biography:"DPhil Maria Jose Hernandez Serrano is a tenured Lecturer in the Department of Theory and History of Education at the University of Salamanca (Spain), where she currently teaches on Teacher Education. She graduated in Social Education (2000) and Psycho-Pedagogy (2003) at the University of Salamanca. Then, she obtained her European Ph.D. on Education and Training in Virtual Environments by research with the University of Manchester, UK (2009). She obtained a Visiting Scholar Postdoctoral Grant (of the British Academy, UK) at the Oxford Internet Institute of the University of Oxford (2011) and was granted with a postdoctoral research (in 2021) at London Birbeck University.\n \nShe is author of more than 20 research papers, and more than 35 book chapters (H Index 10). She is interested in the study of the educational process and the analysis of cognitive and affective processes in the context of neuroeducation and neurotechnologies, along with the study of social contingencies affecting the educational institutions and requiring new skills for educators.\n\nHer publications are mainly of the educational process mediated by technologies and digital competences. Currently, her new research interests are: the transdisciplinary application of the brain-based research to the educational context and virtual environments, and the neuropedagogical implications of the technologies on the development of the brain in younger students. Also, she is interested in the promotion of creative and critical uses of digital technologies, the emerging uses of social media and transmedia, and the informal learning through technologies.\n\nShe is a member of several research Networks and Scientific Committees in international journals on Educational Technologies and Educommunication, and collaborates as a reviewer in several prestigious journals (see public profile in Publons).\n\nUntil March 2010 she was in charge of the Adult University of Salamanca, by coordinating teaching activities of more than a thousand adult students. She currently is, since 2014, the Secretary of the Department of Theory and History of Education. Since 2015 she collaborates with the Council Educational Program by training teachers and families in the translation of advances from educational neuroscience.",institutionString:"University of Salamanca",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Salamanca",institutionURL:null,country:{name:"Spain"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"23",title:"Social Sciences",slug:"social-sciences"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"301331",firstName:"Mia",lastName:"Vulovic",middleName:null,title:"Mrs.",imageUrl:"https://mts.intechopen.com/storage/users/301331/images/8498_n.jpg",email:"mia.v@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"6942",title:"Global Social Work",subtitle:"Cutting Edge Issues and Critical Reflections",isOpenForSubmission:!1,hash:"222c8a66edfc7a4a6537af7565bcb3de",slug:"global-social-work-cutting-edge-issues-and-critical-reflections",bookSignature:"Bala Raju Nikku",coverURL:"https://cdn.intechopen.com/books/images_new/6942.jpg",editedByType:"Edited by",editors:[{id:"263576",title:"Dr.",name:"Bala",surname:"Nikku",slug:"bala-nikku",fullName:"Bala Nikku"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophanides",surname:"Theophile",slug:"theophanides-theophile",fullName:"Theophanides Theophile"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"878",title:"Phytochemicals",subtitle:"A Global Perspective of Their Role in Nutrition and Health",isOpenForSubmission:!1,hash:"ec77671f63975ef2d16192897deb6835",slug:"phytochemicals-a-global-perspective-of-their-role-in-nutrition-and-health",bookSignature:"Venketeshwer Rao",coverURL:"https://cdn.intechopen.com/books/images_new/878.jpg",editedByType:"Edited by",editors:[{id:"82663",title:"Dr.",name:"Venketeshwer",surname:"Rao",slug:"venketeshwer-rao",fullName:"Venketeshwer Rao"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"4816",title:"Face Recognition",subtitle:null,isOpenForSubmission:!1,hash:"146063b5359146b7718ea86bad47c8eb",slug:"face_recognition",bookSignature:"Kresimir Delac and Mislav Grgic",coverURL:"https://cdn.intechopen.com/books/images_new/4816.jpg",editedByType:"Edited by",editors:[{id:"528",title:"Dr.",name:"Kresimir",surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"56024",title:"Food Chilling Methods and CFD Analysis of a Refrigeration Cabinet as a Case Study",doi:"10.5772/intechopen.69136",slug:"food-chilling-methods-and-cfd-analysis-of-a-refrigeration-cabinet-as-a-case-study",body:'Refrigeration slows down the chemical and biological processes in foods, such as the accompanying deterioration and the loss of quality, extending the shelf life of the products, with minimum changes to the sensory characteristics and nutritional properties.
Temperatures in the range of 0–5°C slow down the development and growth of microorganisms, but some pathogenic agents can grow to large numbers at these temperatures or are still sufficiently virulent to cause poisoning. Because the activity of most of the pathogenic agents is only slowed down and not stopped, long-term storage of refrigerated products can finally cause food poisoning [1]. In these cases, when a longer preservation period is needed, freezing must be used to minimize any physical, biochemical, and microbiological changes affecting quality during storage. The storage life of fresh perishable foods, such as meats, fish, fruits, and vegetables, can be extended by several days by cooling, and by several weeks or months by freezing [2, 3]. During freezing, most of the water content of the meat, about 80%, solidifies into pure ice crystals, accompanied by a separation of dissolved solids [2, 4].
Chilled foods are commonly grouped into three categories, according to the storage temperature range [1]:
−1 to +1°C—fresh fish, meats, sausages and ground meats, smoked meats, and breaded fish;
0 to +5°C—pasteurized canned meat, milk, cream, yoghurt, prepared salads, sandwiches, baked goods, fresh pasta, fresh soups and sauces, pizzas, pastries, and unbaked dough;
0 to +8°C—fully cooked meats and fish pies, cooked or uncooked cured meats, butter, margarine, hard cheese, cooked rice, fruit juices, and soft fruits.
In order to chill fresh foods, it is necessary to remove the sensible heat and also the heat generated by the respiratory activity of vegetables and fruits; in animal tissues, aerobic respiration rapidly declines when the supply of oxygenated blood is stopped at slaughter [1, 4].
Cooling rate may be defined as [4]:
where dt is the temperature variation during the period dτ.
Several assumptions are taken into account in order to obtain the temperature-time function [4]:
homogenous product;
at any moment, the temperature is the same in the entire mass of the product;
the temperature of the cooling medium is constant;
there is no mass transfer between the product and the cooling medium.
The assumption that the sensible heat removed from the product equals the convective heat transfer from the product to the cooling medium leads to [4]:
Eq. (2) finally leads to the temperature-time equation:
The chilling duration is [4]:
Food chilling is performed with mechanical refrigeration systems or with ice [4]. The temperature of the product should be lowered as quickly as possible through the critical warm zone (5–10°C), where maximum growth of microorganisms occurs [1, 3, 4].
Batch or continuous operation is possible when using mechanical refrigeration systems, while batch operation is used in the ice chilling systems.
The chilling medium in mechanically cooled chillers may be air, water, or metal surfaces.
Air chillers use forced convection to circulate cold air at high speed (4 m/s); thus, the thickness of the boundary film is reduced, and the heat transfer rate is increased.
Air chilling of foods is performed in chilling tunnels or chilling rooms; usually, the chilling tunnels operate continuously, while the batch chilling is used for chilling rooms [4].
In a refrigeration tunnel, air circulates longitudinally, transversally, or vertically (Figures 1 and 2). Two-phase chilling can also be used in order to speed up the process and limit the evaporative weight losses [4]. Figure 3 presents the schematic of the two-phase chilling tunnel. In the first chilling phase, the air temperature is around −10°C, and its speed is approximately 1 m/s; the products, hanged on the conveyer, travel through section (I) of the tunnel in about 4–5 h. The surface of the products is chilled rapidly in this first section. In the second section of the tunnel (II), air temperature is about 0°C, and its speed is 0.3 m/s; the duration of the chilling process is 10–15 h, until the product reaches a relatively uniform temperature in its entire mass [4]. This system allows the diminishing of the evaporative weight loss compared with the one-phase chilling systems because the surface of the product is quickly cooled in the first phase, and a lower temperature difference between the product and the cooling medium is achieved in the second phase.
Air chilling tunnel, with longitudinal circulation of the air (vertical cross-section). 1, evaporator; 2, fan; 3, false ceiling; 4, product; 5, baffle.
Air chilling tunnel, with vertical circulation of the air (vertical cross-section). 1, 3, evaporators; 2, auxiliary fan.
Two-phase chilling tunnel (horizontal cross-section). 1, evaporator; 2, conveyer; I, II, cooling sections.
Chilling rooms have a lower capacity than chilling tunnels; because of the lower air speed (0.3 m/s), the duration of the chilling process increases. Figure 4 presents some examples of chilling rooms: the air discharge ducts are placed in the upper side of the room, while the air intake ports are placed in the lower part.
Chilling rooms. 1, discharge duct; 2, intake ports; 3, evaporator and fan.
In this case, a chilled secondary agent is used in order to refrigerate the product; the product is sprayed with cold agent or is immersed into the chilling agent [1, 4, 5]. Due to the higher values of the convective coefficients, chilling with cold liquid agents requires less time than air chilling. The procedure is used for chilling poultry, fish, and some vegetable products [4, 5].
Depending on the final temperature of the product and on the type of product, chilling may be achieved with water, salt water (brine), or slurry ice; ice or vapor compression refrigeration systems are used in order to cool the secondary agent [4].
Figure 5 presents the schematics of a device for the immersion chilling of poultry [1]; the carcasses are placed on the conveyor (2) and then immersed into the cold agent. The secondary agent is chilled in the heat exchanger (9) by a vapor compression refrigeration system.
Immersion chilling of poultry. 1, immersion tank; 2, conveyor; 3, fan; 4, filter; 5, pump; 6, compressor; 7, condenser; 8, expansion valve; 9, heat exchanger.
Slurry ice is a phase-changing secondary agent, containing small ice crystals (typically 0.1–1 mm in diameter), suspended within a solution of water and a freezing point depressant. Some commonly used compounds are salt (sodium chloride), ethylene glycol, propylene glycol, various alcohols (isobutyl, ethanol), and sugar (sucrose, glucose) [6]. This type of ice has many advantages in comparison with the traditional ice (flake ice, shell ice, crushed ice, etc.): it can be used in direct contact with the object to be chilled; due to the large contacting area, it has very good cooling performances; slurry ice can be pumped to the point of use (Figure 6), eliminating costly and maintenance intensive rakes, augers, and ice conveying systems [7]; operating at temperatures below the freezing point of water, ice slurry facilitates several efficiency improvements such as lowering the required temperature difference in heat exchangers due to the beneficial thermo-physical properties of ice slurry [6].
Schematics of a slurry ice installation. SSHE, scrapped surface heat exchanger.
Slurry ice is produced in scrapped surface heat exchangers (SSHE); Figure 7 presents the operating principle of the SSHE for slurry ice. The ice slurry generator consists of a cylindrical metal shell (1). The exterior surface is cooled by the evaporating refrigerant passing through the cooling jacket (2), while water freezes in contact with the cold inner surface of the shell. Spring-loaded rotating blades (4) scrap off the ice crystals formed on the inner cylindrical surface of the metallic shell.
Schematic diagram of the ice slurry generator. 1, cylindrical metal shell; 2, cooling jacket; 3, rotating shaft; 4, blade.
This method is used for chilling fish and vegetables [1, 4].
Ice is often produced in the form of lumps or blocks, of various weights, from 10 to 200 kg. Alternatively, ice may be made in the form of smaller pieces (granular ice). Different types of granular ice exist (flake ice, tube ice, plate ice) [4].
In order to obtain ice blocks, the water to be frozen is filled into large metal molds, which are placed in a tank containing refrigerated brine, for up to 24 h. When the ice blocks are completely frozen, they are removed from the freezing tank and dipped into hot water. This melts the surface of the block so that it can be tipped out of its mold. The molds can then be refilled with water and returned to the freezing tanks. The large ice blocks may then be broken down into smaller pieces in an ice-crushing machine (Figure 8).
Ice-crushing machine. 1, infeed hopper; 2, large ice chunks; 3, blade; 4, rotating drum; 5, crushed ice; 6, discharge chute.
One of the most common types of granular ice is flake ice, which is obtained by freezing water onto the surface of a rotating, refrigerated drum (Figure 9). The water freezes into a 2–3-mm-thick layer of ice, which is then scraped off the drum as flakes of ice.
Production of ice flakes. 1, water tank; 2, rotating refrigerated drum; 3, ice layer; 4, ice flakes; 5, ice chute; 6, scrapper blade.
Storing fish in ice is largely used aboard fishing ships; apart from chilling the fish, ice removes heat from the surrounding structure of the box or storage compartments, absorbs the heat input through the structure from the warm air and sea outside, and removes the heat produced by the spoilage process in the fish themselves [8]. It is therefore essential that plenty of ice is properly distributed throughout the catch to ensure efficient cooling. Ideally, each fish should be in contact only with ice; in practice, there are alternating layers of ice and fish (Figure 10). The ice-to-fish ratio is comprised between 1/3 and 1/1; there should be at least 5 cm thick layers of ice (1, 3) between fish and the compartment walls [8]. In order to avoid the lower layers being damaged under the weight of the upper layers, fish must be placed on shelves, in order to keep the depth of the storage compartment (2) lower than 0.5 m [8].
Fish chilling with ice. 1, 3, ice layers; 2, storage compartment; 4, fish.
Ice chilling is also used for vegetables and fruits [4]; the products are placed in wooden or cardboard crates, filled with ice. Figure 11 presents the schematics of an ice-filling machine; the ice flakes flow into the machine hopper (2) through the chute (1) and are poured into the crates through the hopper (4).
Ice-filling machine. 1, chute; 2, 4, hoppers; 3, flexible hose; 5, flap; 6, discharge conveyer; 7, crates.
This chilling method is used for liquid food products (milk, cream, juices, beer, wine, etc.). Refrigerants or secondary cooling agents are used on the cold side of the chilling device, which is operated in batch or continuous mode [4].
In the batch operation mode, the product fed into the tank is cooled using an external cooling jacket or an internal cooling coil. Figure 12 presents the schematics of a tank equipped with an external cooling jacket (2). The product is fed into the tank through the pipe (7); when the desired final temperature is reached, the product is purged from the tank through the discharge pipe (5).
Chilling tank for batch operation. 1, tank; 2, cooling jacket; 3, coolant inlet; 4, stirrer.
Heat exchangers are used in order to continuously chill the liquid products [3, 4]. Figure 13 presents a double pipe heat exchanger; the cooling medium circulates through the shell (3), while the product circulates through the inner pipe (4). The exchanger contains several sections that are coupled through flanges; the number of sections depends on the final temperature and flow rate of the fluids [9].
Double pipe heat exchanger. 1, product inlet connection; 2, refrigerant outlet connection; 3, outer shell; 4, inner pipe; 5, flanges; 6, refrigerant inlet connection; 7, product outlet connection.
Retail refrigeration cabinets use cold air circulated through natural or forced convection. The cost of chill storage is high and, in order to reduce costs, large stores may have a centralized plant to circulate the refrigerant to all cabinets; the heat generated by the condensers of the refrigeration system may be used for in-store heating. Computer control of multiple cabinets detects excessive rises in temperature and warns of any requirement for emergency repairs or planned maintenance. Other energy-saving devices include night blinds or glass doors on the front of cabinets to trap cold air.
According to the cabinet geometry, the retail refrigeration cabinets are [10]:
horizontal, single-deck units;
vertical, multi-deck units.
Horizontal refrigeration cabinets (Figure 14) are open-top and are designed for self-service; the wall-site units (Figure 14a) allow shopping from one side, while the island type units (Figure 14b) are accessible from all sides [2, 10].
Horizontal refrigeration cabinets. 1, evaporator coil; 2, thermaly insulated case; 3, product loading space; 4, glass panels; 5, fan.
Axial fans (6) are used to provide air flow over the evaporator coils (1), and grills placed at the upper side of the cabinet deflect the air current from one side of the cabinet to the other, over the stacked products. Due to cold air stratification, air infiltrations from the environment are relatively low; the heating load is due to the radiant heat transfer and conductive heat transfer through the insulated walls of the cabinet case [10].
Vertical multi-deck units have an open front or are provided with a glass front door [2, 10]. The open front refrigeration cabinets (Figure 15) use air curtains (a, b, c) in order to prevent the infiltrations of warm air into the cabinet. The axial fans (1) and (3) circulate the cold air over the evaporator coils (2, 4) and produce the stream of air necessary for obtaining the inner air curtains; the outer air curtain (c) is generated by the axial fan (7). Grills are used in order to direct the air flow and obtain the air curtains.
Vertical open front refrigeration cabinet. 1, 3, 7, fans; 2, 4, evaporator coils; 5, case; 6, 8, air channels; 9, products; 10, grills; a, b, c, air curtains.
The three air curtains form a very complex system, and the proper design imposes an in-depth understanding of the cabinet’s fluid dynamics [2].
Some stores are equipped with combination cabinets (Figure 16), comprising an open front vertical cabinet and an open-top, horizontal cabinet [10].
Combination cabinet. 1, vertical, open front, refrigeration cabinet; 2, 5, fans; 3, 6, evaporator coils; 4, horizontal, open type, refrigeration cabinet.
The closed vertical refrigeration cabinets (Figure 17) use a glass door (4) in order to contain the products into the refrigerated space and prevent the infiltration of warm air [10].
Vertical, closed, refrigeration cabinet. 1, evaporator; 2, case; 3, product shelves; 4, glass door; 5, fan.
Table 1 summarizes some characteristics of the retail display cabinets.
Type | Refrigeration load [W/m] | Energy consumption [W/m] | Available volume [m3/m] |
---|---|---|---|
Horizontal, wall site | 400–500 | 250–400 | 0.2–0.3 |
Horizontal, island | 500–700 | 350–600 | 0.3–0.7 |
Vertical, closed | 600–700 | 400–600 | 0.7–0.9 |
Vertical, open, three air curtains | 1900–2200 | 1200–1900 | 0.7–0.8 |
Characteristics of the retail display cabinets [10].
Vertical refrigerating cabinets are widely used in supermarkets because the products have good storage conditions and are adequately presented to the consumers.
As mentioned above, the open type refrigerating cabinets use one or more air curtains in order to separate the cold interior from the warm surroundings.
The study of air curtains is necessary because these can be easily disrupted by air circulation in front of the cabinet or by the consumers taking foods from the shelves; the disturbing effect increases with the height of the cabinet. The aerodynamic non-homogeneity of the air curtain increases when the number of “holes” increases, leading to the increase of the temperature inside the display case and of its power consumption; as a result, the products inside the cabinet are stored at temperatures higher that the recommended ones. Moreover, the infiltration of exterior humid air inside the case results in additional ice formation over the evaporator coils, thus reducing the heat transfer and the efficiency of the refrigeration system; therefore, the defrosting cycles become more frequent, further increasing the power consumption.
Some estimations show that 72–75% of the cooling load is used in order to counteract the effect of warm air infiltrations through the air curtain (Figure 18) and can reach even 90% if the operating conditions are not suitable [11]; 50% of the power consumption of a supermarket is due to the refrigeration and freezing cabinets.
Cooling load components.
CFD simulation was applied to a vertical display cabinet with four shelves, and in order to evaluate the temperature gradient, the following stages were taken into account: preprocessing—geometry set-up and design of the discretization scheme; processing—introduction of the boundary conditions and calculation; post-processing—visualization of the velocity and temperature fields.
A refrigeration vertical cabinet with four shelves (Figure 19) was the basis of the simulation; the dimensions of the cabinet (L × W × H) are 1900 × 796 × 1911 mm.
Vertical display cabinet with four shelves. 1, base grill (GRA); 2, fans; 3, evaporator coil; 4, perforated plate; 5, air plenum; 6, thermal insulation; 7, horizontal grill (GPA); 8, shelves.
The axial fans (2) induce the airflow over the evaporator coil (3), placed at the bottom front part of the cabinet. A limited amount of air is fed into the unit, passing through the perforated plate behind the shelves (4), while the most significant amount of air flows through the horizontal grill (7), thus creating the air curtain. The air curtain covers the front part of the shelves over their entire length; the air flows downward and is extracted through the base grill (1). The air curtain dimensions are as follows: thickness B = 60 mm; width of the shelves Ws = 350 mm.
The geometry of the air channels was used as a basis for producing the 3D model of the cabinet. The finite volumes discretization of the domain consisted of 1,585,690 nodes, being denser in the lower region of the cabinet (Figure 20).
Structured discretization. a, view of the discretization domain; b, cross-section of the discretization domain.
In order to obtain the real boundary conditions, during the experimental tests, the refrigeration cabinet was placed inside a class 3 climatic chamber (according to EN-ISO 23953 and EN 441/4—Figure 21), which allowed the adjustment of different parameters of the ambient air (velocity, temperature, and humidity). During the tests, the air flow inside the chamber was parallel with the longitudinal axis of the cabinet, with a velocity of 0.2 m/s.
Placement of the vertical refrigeration cabinet inside the climatic chamber.
Table 2 summarizes the transducers used in the experiments; the placement of the temperature, humidity, and velocity sensors in front of each shelf is shown in Figure 22a; temperature, humidity, and velocity sensors were also placed at the exit of the horizontal grill (GPA, Figure 22b); all the transducers were connected to a central data acquisition unit (Figure 22c). The sensors were placed in three vertical planes along the cabinet length: left, middle, and right (1, 2, 3, Figure 23).
Transducer type | Model | Purpose | Precision |
---|---|---|---|
Temperature | RTD, SEM 105 P | Ambient air temperature measurement | ±0.1°C |
Temperature | TC with PTFE insulation | Temperature measurement inside the cabinet | ±0.2°C |
Humidity | SEM 105H-3 | Air humidity inside the cabinet and in the climatic test chamber | ±0.3% |
Velocity | Hot wire sensor, VelociCalc | Measurement of air velocity at the exit of GPA grill | ±0.015 m/s |
Summary of the transducers and their characteristics.
Placement of the sensors and the central data acquisition unit. a, placement of the temperature, humidity, and velocity sensors inside the cabinet; b, placement of the temperature, humidity, and velocity sensors at GPA grill; c, view of the central data acquisition unit.
Measuring planes. 0, lateral plane, with air entering at 0.2 m/s; 1, left plane; 2, middle plane; 3, right plane.
Figures 24 and 25 present the experimental results referring to the air velocity and temperature at the exit from the horizontal grill (GPA). The experimental data were then filtered using a C++ program; Figures 26 and 27 show the filtered results.
Air velocity at the GPA level.
Air temperature at the GPA level.
Air velocity profiles, after filtering, for the three vertical planes.
Air temperature profiles, after filtering, for the three vertical planes.
Based on the charts presented in Figures 26 and 27, polynomial functions for the velocity and temperature variations were defined as:
velocity functions:
left plane:
middle plane:
right plane:
temperature functions:
left plane:
middle plane:
right plane:
The above functions were introduced as user defined functions (UDF) into the numeric model.
The general equation for the incompressible flow of a fluid for a dependent variable Φ (Φ = 1 for the continuity equation; Φ = v for the momentum equation; Φ = t for the energy equation) is [12]:
The model is based on the following assumptions:
air is considered a perfect gas;
the latent heat of condensation for the humidity in the air curtain is neglected;
the air curtain is considered as a jet;
air velocity and temperature at the horizontal grill are modeled as polynomial functions;
the effect of air flowing through the holes of the perforated plate behind the shelves is neglected.
The model is based on two equations (one for the turbulent kinetic energy and the other one for the dissipation rate of the turbulent kinetic energy), using the SIMPLE algorithm. The calculation is an iterative process, using the pressure-velocity coupling algorithm, in which the momentum and continuity equations, based on pressure, is solved simultaneously, and the terms referring to the pressure gradient and mass flow rate are discretized implicitly.
The boundary conditions were imposed by the pre-processing program Gambit and completed with functions and values in the Fluent CFD simulation program [12]. The boundary conditions also took into account the conditions inside the climatic chamber (tenv = 25°C, Φenv = 60%, vair = 0.2 m/s, according to EN-ISO 23953); as there are different boundary conditions for the horizontal grill (GPA) and base grill (GRA), these are presented separately.
The velocity and temperature functions, for the three vertical planes considered (left, middle, and right), were the ones presented above. The air turbulence was specified using the turbulence intensity [12]:
Turbulence intensity at GPA exit had the following values: It = 2.66 (left plane); It = 1.83 (middle plane); It = 2.16 (right plane).
A boundary condition was also imposed for the lateral plane (0, Figure 23); here, air velocity was constant over the entire section (0.2 m/s), the flow was laminar, and air temperature was 25°C.
The boundary conditions for the base grill take into account the average experimental values: over the entire length of the grill, air velocity is 1.7 m/s, and air temperature is +9.2°C. The air turbulence parameters were defined as above.
The boundary conditions for the heat flow rate take into account the conductive heat transfer through the cabinet walls and the heat generated by the illumination system of the display case.
The conductive heat transfer was defined using Fourier’s law; the overall heat transfer coefficient was calculated based on the thermal conductivity of each individual layer of the respective wall. The conductive heat transfer rates were as follows: 6 W/m2 for the ceiling of the cabinet; 7 W/m2 for the bottom of the cabinet; and 7.63 W/m2 for the side walls.
Fluorescent lamps, type OSRAM L58W20, were used for the illumination of the appliance; the corresponding heat flow rate was 10 W/m2.
The cabinet walls were modeled only in the wall-air contact areas. The average temperatures were obtained experimentally, as follows: evaporator fins—0.95°C; interior walls +7°C; shelves +5°C.
According to the EN-ISO 23953 standard, the load is simulated using a gel-type substance (tylose), with thermal properties similar to the ones of beef meat. However, in the present simulation, there was no product load inside the cabinet.
In the processing stage, the time step was set at 0.2 s, the number of steps was 1800, and the maximum number of iterations for one step was 10.
The simulation was performed on a Pentium IV, DualCore 6400, 2.4 GHz system with 4 GB RAM; for 6 min of simulation and a total number of 18,000 iterations, the computing time was approximately 12 h.
In order to prevent the equation coefficients from changing too quickly, the change in dependent variables from one iteration to another was slowed by “relaxing” them. Thus, the linear relaxation method was used for the control of the CFD simulation in order to maintain its stability; Table 3 presents the values of the relaxation factors for the different physical parameters.
Property | Variable | Relaxation factor, α |
---|---|---|
Pressure | p | 0.3 |
Density | ρ | 0.5 |
Lift force | F | 0.5 |
Momentum | νi | 0.8 |
Turbulent kinetic energy | k | 0.6 |
Dissipation rate of the turbulent kinetic energy | ε | 0.6 |
Turbulent viscosity | μt | 0.8 |
Energy | E | 0.7 |
Linear relaxation factors.
In this CFD simulation, the convergence criterion was selected so that the residues remained lower than 10−6.
Post-processing is the final stage of the CFD simulation, aiming to display the temperature and velocity fields, as well as the streamlines in the simulation domain. This stage is useful in the intermediate phases of the simulation, allowing its calibration based on the experimental data; at the end of the simulation, the final temperature and velocity fields and the streamlines are presented in a graphical form.
Figures 28–30 present the temperature fields in the three vertical planes taken into account (see Figure 23); the results show that, for the lower shelves, the temperature is with at least 4°C higher than the one required (5°C, according to ISO 23954-2:2005), which means that this area is not adequate for the storage of refrigerated goods.
Temperature field in the left plane of the cabinet, at the end of the 6 min simulation [°C].
Temperature field in the middle plane of the cabinet, at the end of the 6 min simulation [°C].
Temperature field in the right plane of the cabinet, at the end of the 6 min simulation [°C].
Figure 31 presents the velocity field profile in the middle plane, at the exit of the horizontal grill (GPA).
Velocity field profile at GPA, in the middle plane, at the end of the simulation.
Figure 32 presents the velocity field in the vertical right plane and also in the horizontal plane, in the vicinity of the base air grill (GRA). In the horizontal plane, air velocity was comprised between 0.4 and 0.6 m/s; these values were significantly lower than the average value of 1.7 m/s, which was considered as a boundary condition for GRA, showing the non-uniformity of the air curtain in this area.
Velocity field profile in the vicinity of GRA and in the vertical right plane.
The streamlines presented in Figure 33 complete the picture of the air curtain in terms of air velocity, while Figures 34 and 35 display the streamlines in terms of air temperature; the results can be summarized as follows:
Streamlines for air velocity [m/s].
Streamlines for air temperature, front view [°C].
Streamlines for air temperature, rear view [°C].
the turbulence and temperature are higher at the back of the cabinet;
the infiltration rate through the air curtain is higher in the lower part of the cabinet, through the left and right planes;
the temperature difference between the upper and lower shelves is 6°C.
Refrigeration slows down the chemical and biological processes in foods, such as the accompanying deterioration and the loss of quality, extending the shelf life of the products.
Food chilling is performed with mechanical refrigeration systems or with ice; the temperature of the product is lowered to 0–8°C, depending on the type of food. The chilling medium in mechanically cooled chillers may be air, water, or metal surfaces; batch or continuous operation is possible when using mechanical refrigeration systems, while the batch operation is used in the ice chilling systems.
Retail refrigeration cabinets use cold air, circulated through natural or forced convection. The open front refrigeration cabinets use air curtains in order to prevent the infiltrations of warm air into the cabinet; the proper design of the air curtains imposes an in-depth understanding of the cabinet’s fluid dynamics.
CFD simulation was applied as a case study for a refrigeration cabinet. The simulation led to the conclusion that, for the lower shelves, the temperature is at least 4°C higher than the one required by standards, while there was a 6°C temperature difference between the upper and lower shelves of the cabinet; in the meantime, the simulation showed the non-uniformity of the air curtain in the vicinity of the base air grill. Turbulence intensity and temperature were higher at the back of the cabinet.
A1, A2, A3 | amplitude of the air velocity functions, m/s |
A11, A22, A33 | amplitude of the air temperature functions, °C |
c | specific heat of the product, J/kg·°C |
Dh | hydraulic diameter, m |
h | convective heat transfer coefficient, W/m2·°C |
It | turbulence intensity |
m | product mass, kg |
ReDh | Reynolds number based on the hydraulic diameter |
S | product surface, m2 |
SΦ | source term |
T1, T2, T3 | period of the air velocity functions, s |
T11, T22, T33 | period of the air temperature functions, s |
t | product temperature, °C |
ti | initial product temperature, °C |
tf | final product temperature, °C |
t0 | cooling medium temperature, °C |
t1med, t2med, t3med | average cabinet temperatures, °C |
v | air velocity m/s |
w | cooling rate, °C/s |
xi | orthogonal coordinates |
α | relaxation factor |
ΓΦ | diffusion coefficient |
ν | cinematic viscosity, m2/s |
ρ | density, kg/m3 |
τ | time, s |
τr | chilling time, s |
φ | dependent variable |
Two and a half billion years ago a natural fission reactor operated on the Earth (Oklo). The discovery of this natural energy source created a series of theories and had implications yet to be evaluated both on the man-made artifacts of similar type and on some fundamentals considered so far as improbable to be challenged in quantum physics, biology, ecology, nuclear reactor theory. It also has an impact on knowledge management, on the epistemology and ethics. Aspects of the implications for mankind and the lessons learnt so far on the actions to build a sustainable civilization are presented in this chapter.
In 1972 the international community involved in the research, design and operation of MMES of fission type reactors was surprised and challenged by a discovery of the remains of an ancient natural fission reactor, in Oklo (Gabon). It was a NES type reactor (NES_Oklo).
However the discovery was predicted long time before by PK Kuroda [1]. The reactor in Gabon operated, intermittently, two and a half billion years ago for about two hundreds millions year and had an approximate power of 100 kW. It operated with uranium ore (using the isotope U235) and water [2, 3, 4, 5].
As the reactor physics classic results show, this would not be possible, provided the concentration of U235 (considered as a constant for the whole universe) being presently 0.71% was not higher (around 3.3%) by the time the reactor started operating. And this is not all. The reactor had to have a concentrated amount of U235 in a place forming a geometry and a configuration of cooling (with cooling water) of a very specific precise type. Apparently cyanobacteria concentrated the uranium and the water from the underground, pushed by the geological moves by that time (Africa and South America were splitting apart) created actually the reactor core, as called in the nuclear engineering. Even more than that, the type of soil assured the retention of the radioactive elements resulted from fission, which actually did not migrate further than the site.
All those aspects were very troubling for the nuclear community. In addition the calculations for the MMES reactors were seriously challenged when they were used to describe NES_Oklo.
Findings did not stop here, as series of other theories were developed, as for instance:
Theories related to how the oxygen formation (taking place exactly by that time) were related to the activity of the geyser nuclear reactor splitting water vapors, as water got overheated, to the atmosphere.
As for the biology the time of NES_Oklo operation is also coincident with the appearance of eukaryotes, living beings having cells with nucleus in a membrane, to which we also belong.
As a top of troubling discoveries, the site evaluations challenged some fundamentals of quantum mechanics and relativity, related to the alpha constant and the speed of light.
Not to mention the fact that new theories and observations started to assume that, may be even the Earth core is a nuclear fission reactor and may be Oklo was not the only surface reactor.
More than that evidence on existence of fission reactors is found also in our neighboring planets (Mars), all taking place at a certain time of evolution of energy chains of the universe, of the solar system and of our Earth. Operation of such NES reactors appears to give serious inputs on how an ecological type of such source of energy might be designed by mankind. All those aspects are really of high interest and researches are going on.
A troubling set of correlations and coincidences illustrate for this particular case how various phenomena with their lifecycles, their appearance, and development are connected to each other and how Mother Nature gives us lessons on how to manage complicated lifecycles of high energies without damaging it.
There is a vast literature on Oklo reactor, of which the references are representative in our view. The references could be started with the works of PK Kuroda, who predicted the first the possibility of the existence of a natural fission reactor on Earth.
This chapter will focus only on the lessons learnt so far. However, there are more than only natural sciences implications, but also on the manner we acquire knowledge, on how we build models and interact with their reality and how we related to their lifecycles.
Therefore the chapter will not address the details of the researches on Oklo, but rather the lessons learnt to the humanity for such a discovery. The approach adopted in the presentation of Oklo lessons in this chapter is also based on some author’s researches on the philosophy of science and models proposed to consider, model and interact with the energy sources, by describing their creation/emergence, their lifecycle and their interaction with mankind and its knowledge.
For this endeavor, a systematic approach was adopted and presented previously [6, 7, 8, 9]. Based on this approach the NES and MMES are evaluated in their interaction and development/transformation from one to another in a systematic manner, which is based on some assumptions, as follows:
Energy sources create systems, which might be considered Complex Systems (CS) [6] These systems are composed of elements and connectors between them defined as categories, in the mathematical sense [6].
For the ES considered as CS, defined by NES and MMES, because they have a behavior of topological nature and for their models, a topological description is possible, as they
are described by invariants, that preserve their nature after transformations,
create complex networks fractal like structures and
their emergence/transformation from one phase/state/form/source to another takes place step by step [10].
The KP of a given ES for a given NES cannot be predicted in detail, but in its general features. The proposed approach considers that the KP generates a topological structure (K(i)) based on a set of relationships between the objects modeled and it is developed in accordance with a certain Theory (Th(K(i))). The topological structure resulting from the KP is in isomorphism with the topological structure describing the emergence rules of the NES from one state to another. The method is based on three principles [10]:
Principle 1: The topological structure K(i) is described by the notion of category considered as:
reflecting a hierarchical “matrioshka” type of structure
being a general description of cybernetic description of objects and models as “black-boxes” for each level of construction and for each object.
being described by objects, morphisms, and identity morphisms
Principle 2: KP is performed in iterations on the categories for each object and each level up to the moment of reaching a critical status due to number and type of paradoxes that result at each step.
The set of invariants (syzygies) is continuously optimized from diverse points of view (using tools from different sciences) and based on the existing results on them a final set of minimal syzygies for a given model—using a given scientific tool—is reached (Hilbert’s syzygy theorem).
The process of reaching a status for a set of syzygies is therefore predictable and has an end. However the end state described by the resultant set of syzygies in that KP phase may not correspond to the real object. Therefore, a new iteration using another type of methods—analogy from another science that the previous iteration—is used for a new iteration.
The KP with these new tools will lead to another set of syzygies and have a status of paradoxes in comparison with the real object that will require a new iteration etc.
An example of NES group is presented in this paragraph. NES are assumed to consist of the following levels of energy sources (NES):
Subquantic (SQ)
Quantic (Q)
Electromagnetic (EM)
Molecular (MO)
Molecular and life (MOL)
Conscious planetary life (CPL)
Stellar and universe not alive (SUNA)
Stellar and universe life (SUA)
Conscious stellar and universe (CSU)
Principle 3: KP is asymptotically stable and complete. However the resultant final structure of this process, which is a CAS, may not be known by its detailed phenomenological characteristics, nor predicted, but rather known for its dominant syzygies.
The invariants are called syzygies and they are in the format described by formulas (1) and (2).
There are some specific generators (in the sense of syzygy theory) for a K(i) structure built for NES:
Exergy (Ex) of a NES (defined as the maximum useful work possible during a process that brings the system into equilibrium with a heat reservoir), as a measure of the efficiency of an energy conversion process. This generator has some specific characteristics:
It is conserved only when all processes of the system and the environment are reversible
It is destroyed whenever an irreversible process occurs.
Entropy in a thermodynamic (EnTh) interpretation as a measure of disorder
Information entropy (EnI) (as a measure of knowledge limits themselves)
Synergy (Sy) as a measure of a resultant set of features for a NES appearing from the existence and interaction of all systems and subsystems, leading to a set of characteristics for the whole NES than exist in the sum of its parts
Emergence (Em) from one level to another (in the example for NES presented from SQ to CSU) a process in which larger entities, patterns, and regularities arise through interactions among smaller or simpler entities that themselves do not exhibit such properties and evolve to new levels.
Nonlinearity (even for simple systems) and/or complexity (NlnCx) of NES as sources of chaotic structure and behavior
Features of CAS—fractals type of structure (Fr) of NES and K(i) knowledge topological structures built for them.
The physical meaning of the dominating syzygies, defining the phase change of ES (NES and MMES) is that they are a triadic set of characteristics of the state of the ES/syzygies and are [10, 11]:
Energy (E)
Mass (m)
Entropy (ψ)
These are optimal descriptors of each ES state and are described by the formulas (3)–(5)
where
E0, m0, ψ0 –and E1(k)*i1(k); m1(k)*i1(k) ψ 1(k)*i1(k) (Noted for the states 0 and 1) define the term called real energy/mass/entropy; examples of energy in such states are the energies perceived at Earth level by a human observer (including such as NES_Oklo), defining the Real Reality.
indexes 2 and 3 the simple complex part (for the states 2 and 3); examples of states of this type are the paranormal phenomena, energies, information channels perceived by a human observer becoming part of the observed object, defining the Intuition Reality of the second level Realm (cosmic) and
the rest of components are the hyper-complex part (for the states 4–8); examples are states of paradoxical situations coming from other realities and totally unexplainable for a human observer, but managing them by enantiotropy feedback chain (entropy of states of the triadic ES) and they are our connection to the Universe Realm and diverse realities (Universes) (formula (6))
The entropy has the following dominant syzygies for each state, as follows [11]:
Thermodynamic entropy, for the states 0 and 1 for the real states
Shannon entropy for the states 2 and 3, for the simple complex states
Enantiotropy for the states 4–8
The triadic set of syzygies defined the set of Realities (as in formula (6))
ES and their models define topological algebraic spaces, which might be represented as polyhedral type, describing their states and illustrating the optimal cases.
The description of emergence/transformation of one source in another or of passage from one phase to another is based on the method presented in [6, 10].
ES and their models exist in two types of interconnections, with:
Other natural phenomena
At a given level of civilization
For instance NES_Oklo appeared 2.5 billion years ago, while the “Reactor designer” had at its disposal:
A certain geological configuration
A certain status of living beings
A certain status of interface with cosmos
No existing civilization
Environment as we know being under construction
However, the interpretation we make of this source is done at a certain level of our civilization (in its very early beginnings, judging by the criteria of what kind of energy we could harness) [6]. We are far away by several centuries before being able to harness the energy of our sun, which is quite a primitive phase. On the other side, our KP is based on an extremely advanced tool (the interdisciplinary and trans disciplinary one) which may push us to advance much faster than we may envisage now. However, the stronger the forces we harness, the higher the risk to get to the finish of civilization by self-destruction.
We are at a crossroad of the evolution and lessons from NES like Oklo are extremely useful, as they show us how to harness better high energy with high risk sources [6].
In our present knowledge the KP assumes for the ES cases a set of assumptions generated by the paradigms, creating paradoxes, as for instance [6]:
Paradigm 1-ES as a CS: A modeling system has to be built in order to represent Risk Analyses for ES (RES) as a complex system, too. RES is converging to a stable unique real state. However the KP results, including those RES are limited by our present knowledge, as described by the real Earth level mentioned above.
Paradigm 2: ES model involves knowledge of the risks associated to a certain source of energy. However, usually we actually are not aware of the real risks and we know very little about the interconnections of lifecycle dangers for interfering processes (energy level, emergence correlated with civilization one or with geological one etc.)
Paradigm 3: Details of ES and their lessons learnt. We design ES (MMES) for which Nature already indicated the optimal solutions. However, due to our reduced technical and scientific level at a certain moment we cannot understand the lessons from the beginning, but step by step.
Paradigm 4: Understanding the ES risks (RES) and defining them is a difficult task as we design first of a kind MMES and as we are not aware of all the aspects of the lifecycle. The MMES are challenged inevitably by serious events, which apparently test the design continuously.
Paradigm 5: ES risk analyses results are seen as inputs to decision making risk calculation results are used for decisions. However we are facing decisions under high uncertainties and the use of lateral thinking is decisive.
Paradigm 6: In the ES risk analyses results there are limits and biases specific to the level of knowledge of that issue, but also there are “hidden” biases due to the level of KP in the whole civilization at that moment. Inter and trans disciplinarity is not just a desired option, but a mandatory one to minimize such biases.
Paradigm 7: RES results evaluation for further iterations in the.KP is an iterative process and the Principle 3 mentioned above applies. The result could be a better understanding by the use of diverse tools, as for instance the information one can get by “backward engineering” from natural examples.
NES_Oklo sends to us messages. By diverse evaluations one could mention so far messages as the following:
The issue of the meaning of risk analyses for ES is very important, as the lessons learnt from NES_Oklo show. NES_Oklo was a combined non-live living organisms operation to produce energy. This is a high important topic for the future MMES to be designed by assuming the use of Artificial Intelligence, may be also natural and living organisms, etc. The evolution of our civilization and/or possible future interactions at cosmic level require a clear strategy on how to proceed if combined (natural, artificial, living non-living, etc.) energy sources production is to be evaluated and designed.
NES_Oklo teaches us on the absolute importance of intrinsic safety (the reactor operated, got decommissioned without being of any harm to its environment, but on the contrary, being part of the evolution “plan”).
NES_Oklo has the following features of importance for future evolutive MMES to be designed, built and operated by the mankind:
The limits of NES_Oklo were very well defined for all its lifecycle phases
During operation
Geometry stability of the core assured by the rocks configuration (the concrete part of any MMES)
Climate was stable in the parameters of the period
Interface with living organism was designed to be not only harmless, but also useful for both sides (cyanobacteria were prosperous for several millions of years).
During decommissioning
There was no migration beyond the site of the heavy radioactive solid waste.
The aerosols were actually part of the plan to rebuild the Earth atmosphere and generate new living beings—eukaryotes.
Apparently the design assumed how to better decommission it at the end of the lifecycle. Thinking of decommissioning from the research phase is a mandatory requirement for a well-designed MMES.
There is a fractal like design of the whole NES_Oklo reactor, as for instance the manner the following reactor functions were assured, as reflection at lower levels of the same principles:
Fuel load (uranium 235) to the reactor core, assured by cyanobacteria, as an intrinsic self-regulated process, in mirror with the operation of the whole reactor.
Diffusion of small distances in the specific rock of the site (several meters for more than 2 billion years [12]).
Radioactive radio-sols were part of the creation of new living organisms; therefore the containment was the whole atmosphere, without damaging it, but helping it.
There was an intrinsic safety assured by delayed neutrons, preventing transformation of the reactor into a bomb
The validity of reactor physics codes used for MMES was highly challenged. Although it seems so far that they could reproduce the reactor core design, there are yet issues to be clarified.
NES_Oklo has a direct impact on the lifecycle preparation of existing and future MMES, as follows:
Review the type of best plant control—centralized versus decentralized
Review of the safety analyses models for all the lifecycles and especially for decommissioning
Review existing researches on the future man machine interface for new reactors, role of artificial intelligence and the role of KP and generations to operate the plants
Set the goal of maximum simplification of MMES, counting to the highest extent possible on passive features and intrinsic safety protection.
Review the manner various phenomena are modeled for the reactor in coupled computer codes and either use higher computing capacities or simplify them
Design MMES as part of regional/global energy sources systems, integrated in the environment, based on ecological principles.
Several aspects from fundamental quantum mechanics and theory of relativity are yet to be reviewed, as the NES_Oklo measurements are challenging some of them
How constant is the alpha constant and the role of the amazing number 137 in the architecture of the universe
It appears that some constants are not so constant (for instance speed of light). If so the impact is very high on many aspects already considered confirmed and taboo to be challenged. An epistemic revolution is to be generated in Physics on the way to change the existing paradigms.
There is an amazing set of coincidences to have a reactor core designed (geological, biological, cosmic, etc.). If the rare coincidence might be more or less accepted, the troubling finding that the NES_Oklo is not the only one of this type leads to the debate about anaphatic and kataphatic approaches to the understanding of the Designer of the world.
The NES_Oklo operated from the design to decommissioning phase as a cybernetic machine understandable with high level cybernetics considering all the three levels from formulas (3)–(6)—real, simple complex and hyper-complex. The hyper-cybernetics, governed by the feedback control via the enantiotropy (entropy of the optimal ES states) is a very possible answer to previous questions. High level cybernetics—the cybernetics of CS states is indicated as describing such systems.
NES_Oklo raises a series of philosophical debates, too:
The evolution of life on Earth, the meaning of life and the role of randomness (if any) in its emergence and evolution.
The future of our civilization and how to use better the lessons so that to avoid destroying ourselves by the time we harness more and more powerful energy sources.
Why and how was it possible at a certain moment in time to have NES_Oklo? How to explain strange coincidences of NES_Oklo with eukaryotes, Earth terraforming and conditions for us to appear in the evolution (or what?) chain.
How to understand/manage messages for which we do not have yet the capability to understand, as they are from the category of hyper complex reality?
NES_Oklo had so far a significant impact on nuclear physics and nuclear engineering. However, its impact is yet to be completed, as new investigations and interdisciplinary works discover unexpected facts of the lessons transmitted by Oklo to us.
NES_Oklo is an example of how to build and operate an optimal, environmental friendly, for all lifecycle phases, nuclear fission reactor.
Summarizing, its lessons are related to:
Improvement of the design strategies for new MMES
Lessons on how to solve the waste management problem
The high advantages of using combined live-non alive elements in the fuel cycle
Foster the fundamental research in quantum mechanics, as the lessons are that, we are not yet understanding even basic aspects (as for instance the role of various universal constants)
Review the models we build for the Physics and ES and improve the KP for those aspects by using systematic approaches
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