Properties of rubber seed oil [18].
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"9425",leadTitle:null,fullTitle:"Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems",title:"Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems",subtitle:null,reviewType:"peer-reviewed",abstract:"Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.",isbn:"978-1-83880-092-5",printIsbn:"978-1-83880-091-8",pdfIsbn:"978-1-83880-546-3",doi:"10.5772/intechopen.85999",price:119,priceEur:129,priceUsd:155,slug:"advanced-statistical-modeling-forecasting-and-fault-detection-in-renewable-energy-systems",numberOfPages:210,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"f9dfa41155499eb62f21917c77db5f7c",bookSignature:"Fouzi Harrou and Ying Sun",publishedDate:"April 1st 2020",coverURL:"https://cdn.intechopen.com/books/images_new/9425.jpg",numberOfDownloads:6210,numberOfWosCitations:15,numberOfCrossrefCitations:22,numberOfCrossrefCitationsByBook:3,numberOfDimensionsCitations:33,numberOfDimensionsCitationsByBook:5,hasAltmetrics:0,numberOfTotalCitations:70,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 25th 2019",dateEndSecondStepPublish:"June 27th 2019",dateEndThirdStepPublish:"August 30th 2019",dateEndFourthStepPublish:"October 30th 2019",dateEndFifthStepPublish:"December 23rd 2019",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!0,featuredMarkup:null,editors:[{id:"197090",title:"Dr.",name:"Fouzi",middleName:null,surname:"Harrou",slug:"fouzi-harrou",fullName:"Fouzi Harrou",profilePictureURL:"https://mts.intechopen.com/storage/users/197090/images/system/197090.jpeg",biography:"Dr. Fouzi Harrou received the Ph.D. degree in systems optimization and security from the University of Technology of Troyes (UTT), France. He was an Assistant Professor at UTT for one year and was an Assistant Professor at the Institute of Automotive and Transport Engineering, Nevers, France, for one year. He was also a Post-Doctoral Research Associate at the Systems Modelling and Dependability Laboratory, UTT, for one year. He was a Research Scientist with the Chemical Engineering Department, Texas A&M University at Qatar, Doha, Qatar, for three years. He is currently a Research Scientist with the Division of Computer, Electrical, and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology. Dr. Fouzi Harrou is the author of more than 100 refereed journal and conference publications and book chapters. His current research interests include statistical decision theory and its applications, fault detection and diagnosis, and signal processing.",institutionString:"King Abdullah University of Science and Technology",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"King Abdullah University of Science and Technology",institutionURL:null,country:{name:"Saudi Arabia"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"299160",title:"Dr.",name:"Ying",middleName:null,surname:"Sun",slug:"ying-sun",fullName:"Ying Sun",profilePictureURL:"https://mts.intechopen.com/storage/users/299160/images/system/299160.jpeg",biography:"Professor Ying Sun received her Ph.D. in Statistics from Texas A&M in 2011 followed by a two-year postdoctoral research position at the Statistical and Applied Mathematical Sciences Institute and at the University of Chicago. She was an Assistant Professor at the Ohio State University for a year before joining KAUST in 2014. At KAUST, Professor Sun established and leads the Environmental Statistics research group which works on developing statistical models and methods for complex data to address important environmental problems. She has made original contributions to environmental statistics, in particular in the areas of spatio-temporal statistics, functional data analysis, visualization, computational statistics, with an exceptionally broad array of applications. Professor Sun won two prestigious awards: the Early Investigator Award in Environmental Statistics presented by the American Statistical Association, and the Abdel El-Shaarawi Young Research Award from the International Environmetrics Society.",institutionString:"King Abdullah University of Science and Technology",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"King Abdullah University of Science and Technology",institutionURL:null,country:{name:"Saudi Arabia"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"770",title:"Renewable Energy",slug:"engineering-energy-engineering-renewable-energy"}],chapters:[{id:"71197",title:"Forecasting of Photovoltaic Solar Power Production Using LSTM Approach",doi:"10.5772/intechopen.91248",slug:"forecasting-of-photovoltaic-solar-power-production-using-lstm-approach",totalDownloads:1222,totalCrossrefCites:12,totalDimensionsCites:22,hasAltmetrics:0,abstract:"Solar-based energy is becoming one of the most promising sources for producing power for residential, commercial, and industrial applications. Energy production based on solar photovoltaic (PV) systems has gained much attention from researchers and practitioners recently due to its desirable characteristics. However, the main difficulty in solar energy production is the volatility intermittent of photovoltaic system power generation, which is mainly due to weather conditions. For the large-scale solar farms, the power imbalance of the photovoltaic system may cause a significant loss in their economical profit. Accurate forecasting of the power output of PV systems in a short term is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. The aim of this chapter is to provide reliable short-term forecasting of power generation of PV solar systems. Specifically, this chapter presents a long short-term memory (LSTM)-based deep learning approach for forecasting power generation of a PV system. This is motivated by the desirable features of LSTM to describe dependencies in time series data. The performance of the algorithm is evaluated using data from a 9 MWp grid-connected plant. Results show promising power forecasting results of LSTM.",signatures:"Fouzi Harrou, Farid Kadri and Ying Sun",downloadPdfUrl:"/chapter/pdf-download/71197",previewPdfUrl:"/chapter/pdf-preview/71197",authors:[{id:"197090",title:"Dr.",name:"Fouzi",surname:"Harrou",slug:"fouzi-harrou",fullName:"Fouzi Harrou"}],corrections:null},{id:"69767",title:"Optimal Design of Energy System Based on the Forecasting Data with Particle Swarm Optimization",doi:"10.5772/intechopen.90007",slug:"optimal-design-of-energy-system-based-on-the-forecasting-data-with-particle-swarm-optimization",totalDownloads:484,totalCrossrefCites:3,totalDimensionsCites:3,hasAltmetrics:0,abstract:"Renewable energy source has developed rapidly and attracted considerable attention. The integration of renewable energy into the energy supply chain requires precise forecast of the output of energy supply chain, thereby reducing energy resource waste and greenhouse gas emissions. In this study, a coupled model system is developed to forecast energy supply chain for the design optimization of distributed energy system, which can be divided into two parts. In the first part, long short-term memory (LSTM) and particle swarm optimization algorithm (PSO) contribute to energy supply chain forecast considering time series, and particle swarm optimization is used to optimize the parameters of the long short-term memory model to improve the forecast accuracy. Results show that the mean absolute error and root mean squared error are 8.7 and 16.3 for the PSO-LSTM model, respectively. In the second part, the forecast results are used as input of the distributed energy system to further optimize the design and operation schemes, so as to achieve the coupling optimization of forecast and design. Finally, a case study is carried out to verify the effectiveness of the proposed method.",signatures:"Yamin Yan, Haoran Zhang, Jianqin Zheng and Yongtu Liang",downloadPdfUrl:"/chapter/pdf-download/69767",previewPdfUrl:"/chapter/pdf-preview/69767",authors:[{id:"239536",title:"Dr.",name:"Haoran",surname:"Zhang",slug:"haoran-zhang",fullName:"Haoran Zhang"},{id:"308301",title:"Ms.",name:"Yamin",surname:"Yan",slug:"yamin-yan",fullName:"Yamin Yan"},{id:"308303",title:"Mr.",name:"Jianqin",surname:"Zheng",slug:"jianqin-zheng",fullName:"Jianqin Zheng"},{id:"308304",title:"Prof.",name:"Yongtu",surname:"Liang",slug:"yongtu-liang",fullName:"Yongtu Liang"}],corrections:null},{id:"70146",title:"Neutral Network Adaptive Filter with Application to Ocean Current Energy Estimation",doi:"10.5772/intechopen.90148",slug:"neutral-network-adaptive-filter-with-application-to-ocean-current-energy-estimation",totalDownloads:490,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This chapter proposes a new approach for the design of an adaptive filter (AF), which is based on an artificial neural network (NN) structure for estimating the system state. The NNs are now widely used as a technology offering a way to solve complex and nonlinear problems such as time-series forecasting, process control, parameter state estimation, and fault diagnosis. The proposed NN-based adaptive filtering (NNAF) is designed by considering the filtering algorithm as an input–output system and two-stage optimization procedure. The first concerns a learning process where the weights of the NNAF are estimated to minimize the error between the filtered state and the state samples generated by a numerical model. The adaptation is carried out next to minimize the mean prediction error (MPE) of the system outputs (error between the observations and the system output forecast) subject to the coefficients associated with the estimated NN weights. Simulation results for different numerical models, especially for state estimation of the chaotic Lorenz system as well as for the ocean current at different deep layers which is important for renewable energy device placements, are presented to show the efficiency of the NNAF.",signatures:"Hong Son Hoang and Remy Baraille",downloadPdfUrl:"/chapter/pdf-download/70146",previewPdfUrl:"/chapter/pdf-preview/70146",authors:[{id:"188919",title:"Dr.",name:"Hong Son",surname:"Hoang",slug:"hong-son-hoang",fullName:"Hong Son Hoang"},{id:"236471",title:"Dr.",name:"Rémy",surname:"Baraille",slug:"remy-baraille",fullName:"Rémy Baraille"}],corrections:null},{id:"69367",title:"Static and Dynamic Photovoltaic Cell/Module Parameters Identification",doi:"10.5772/intechopen.89449",slug:"static-and-dynamic-photovoltaic-cell-module-parameters-identification",totalDownloads:742,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The accurate parameters extraction is an important step to obtain a robust PV outputs forecasting for static or dynamic modes. For these aims, several approaches have been proposed for photovoltaic (PV) cell modeling including electrical circuit-based model, empirical models, and non-parametrical models. Moreover, numerous parameter extraction methods have been introduced in the literature depending on the proposed model and the operating mode. These methods can be classified into two main approaches including automatic numerical and analytical approaches. These approaches are commonly applied in the static mode, whereas they can be employed for dynamic parameters extraction. In this chapter, as a first stage, the static parameters extraction for both single and double diodes models is exposed wherein Genetic Algorithm and outdoor measurements are considered for fixed irradiation and temperature. In the second stage, a dynamic parameters extraction is carried out using Levenberg-Marquardt algorithm, where 1 day profile outdoor measurement is considered. After that, the robustness of the proposed approaches is evaluated and the parameters obtained by the static method and that given by the dynamic technique are compared. The test is carried out using 3 days with different weather conditions profiles. The obtained results show that the parameters extraction by dynamic techniques gives satisfactory performances in terms of agreement with the real data.",signatures:"Sid-Ali Blaifi and Bilal Taghezouit",downloadPdfUrl:"/chapter/pdf-download/69367",previewPdfUrl:"/chapter/pdf-preview/69367",authors:[{id:"302376",title:"Dr.",name:"Sid-Ali",surname:"Blaifi",slug:"sid-ali-blaifi",fullName:"Sid-Ali Blaifi"},{id:"310085",title:"Dr.",name:"Bilal",surname:"Taghezouit",slug:"bilal-taghezouit",fullName:"Bilal Taghezouit"}],corrections:null},{id:"69422",title:"Performance Analysis of a 20 MW Grid-Connected Photovoltaic Installation in Adrar, South of Algeria",doi:"10.5772/intechopen.89511",slug:"performance-analysis-of-a-20-mw-grid-connected-photovoltaic-installation-in-adrar-south-of-algeria",totalDownloads:533,totalCrossrefCites:6,totalDimensionsCites:7,hasAltmetrics:0,abstract:"This chapter presents the performance of a 20 MWp grid-connected PV system installed in a harsh environment, Adrar in the South of Algeria. The results were monitored over a period of 1 year, from January 2018 to December 2018. The PV system assessment includes final and reference yields, system efficiency, performance ratio, capacity factor, and total system losses. The total yearly energy delivered to the grid was 35892.22 MWh, and the monthly average reference and final yields of the system are in the range 5.92–8.1 (h/day) and 4.39–5.56 (h/day), respectively. Furthermore, the annual average daily PV system efficiency, performance ratio, capacity factor, and total losses were 10.82%, 71.71%, 20.76%, and 2.04 h/day, respectively.",signatures:"Nouar Aoun",downloadPdfUrl:"/chapter/pdf-download/69422",previewPdfUrl:"/chapter/pdf-preview/69422",authors:[{id:"305937",title:"Dr.",name:"Nouar",surname:"Aoun",slug:"nouar-aoun",fullName:"Nouar Aoun"}],corrections:null},{id:"69390",title:"Modeling of the Small Wind Energy in Saharan Region of Algeria",doi:"10.5772/intechopen.89468",slug:"modeling-of-the-small-wind-energy-in-saharan-region-of-algeria",totalDownloads:488,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"In the last century, research for the wind power industry started to gain importance in the field of renewable energies. This research is mainly on the side of big wind power. This wind form, are grouped and connected to the electricity grid. In the other form, the small wind power for production in isolated areas. This wind are applicated for example: telecommunication stations, sailboats and isolated areas. This power is from 100 W to a few tens of kilowatts. They are applied to power installations, for example, telecommunication stations, sailboats, and isolated areas. The use of small wind power in the region of Adrar—the southwest of Algeria—is an economical and durable solution. This chapter will focus on the modeling of the main components of a small wind turbine adapted to Saharan regions. The wind chain consists of a wing coupled directly to a synchronous generator that delivers on a continuous bus via a rectifier; it is the overall structure of the chain that we retain for modeling in this chapter. In order to control the system, the modeling of this study touches all the parts of the system: the turbine, the generator PMSG, and the converter with the load. At the end, simulation results are presented to show the good performance of the choice of control type that is applied to the wind system.",signatures:"Harrouz Abdelkader, Fadila Tahiri, Boussaid Brahim and Fatiha Bekraoui",downloadPdfUrl:"/chapter/pdf-download/69390",previewPdfUrl:"/chapter/pdf-preview/69390",authors:[{id:"302222",title:"Dr.",name:"Harrouz",surname:"Abdelkader",slug:"harrouz-abdelkader",fullName:"Harrouz Abdelkader"},{id:"305629",title:"Ms.",name:"Tahiri",surname:"Fadila",slug:"tahiri-fadila",fullName:"Tahiri Fadila"},{id:"305630",title:"Mr.",name:"Boussaid",surname:"Ibrahim",slug:"boussaid-ibrahim",fullName:"Boussaid Ibrahim"},{id:"305631",title:"Ms.",name:"Bekraoui",surname:"Fatiha",slug:"bekraoui-fatiha",fullName:"Bekraoui Fatiha"}],corrections:null},{id:"70734",title:"Implement Using KY Converter for Hybrid Renewable Energy Applications: Design, Analysis, and Implementation",doi:"10.5772/intechopen.90755",slug:"implement-using-ky-converter-for-hybrid-renewable-energy-applications-design-analysis-and-implementa",totalDownloads:512,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This chapter mainly focuses on meeting the energy demand and methodologies of renewable energy. Nowadays, researchers are mainly focusing on renewable energy from the sun, wind, biomass, etc. due to energy crises and the lack of non-renewable energy. The potential for solar energy is high and this demand can best be met with hybrid systems, which can provide an uninterruptible power supply. This chapter looks at the performance metrics of hybrid energy as well as the methodologies and various control techniques connected with power management. The chapter also defines the photovoltaic (PV)-based, novel, dual KY boost converter. Dual PV sources act as input for the dual KY boost converter to generate as much energy as possible from the dual PV system, using the inverter module to produce single-phase alternating current output. A dual KY boost converter can provide higher maximum power, a faster response, and smaller voltage ripple. KY boost converters are designed to generate stable output values according to various conditions because of various control techniques and the maximum power point tracking control algorithm.",signatures:"Pushpavalli Murugan and Jothi Swaroopan Nesa Mony",downloadPdfUrl:"/chapter/pdf-download/70734",previewPdfUrl:"/chapter/pdf-preview/70734",authors:[{id:"294093",title:"Mrs.",name:"Pushpavalli",surname:"Murugan",slug:"pushpavalli-murugan",fullName:"Pushpavalli Murugan"}],corrections:null},{id:"70947",title:"Survey on Photo-Voltaic Powered Interleaved Converter System",doi:"10.5772/intechopen.90111",slug:"survey-on-photo-voltaic-powered-interleaved-converter-system",totalDownloads:613,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Renewable energy is the best solution to meet the growing demand for energy in the country. The solar energy is considered as the most promising energy by the researchers due to its abundant availability, eco-friendly nature, long lasting nature, wide range of application and above all it is a maintenance free system. The energy absorbed by the earth can satisfy 15000 times of today’s total energy demand and its hundred times more than that our conventional energy like coal and other fossil fuels. Though, there are overwhelming advantages in solar energy, It has few drawbacks as well such as its low conversion ratio, inconsistent supply of energy due to variation in the sun light, less efficiency due to ripples in the converter, time dependent and, above all, high capitation cost. These aforementioned flaws have been addressed by the researchers in order to extract maximum energy and attain hundred percentage benefits of this heavenly resource. So, this chapter presents a comprehensive investigation based on photo voltaic (PV) system requirements with the following constraints such as system efficiency, system gain, dynamic response, switching losses are investigated. The overview exhibits and identifies the requirements of a best PV power generation system.",signatures:"M.L. Bharathi",downloadPdfUrl:"/chapter/pdf-download/70947",previewPdfUrl:"/chapter/pdf-preview/70947",authors:[{id:"310293",title:"Dr.",name:"Bharathi",surname:"M.L",slug:"bharathi-m.l",fullName:"Bharathi M.L"}],corrections:null},{id:"69507",title:"A New Control Strategy for Photovoltaic System Connected to the Grid via Three-Time-Scale Singular Perturbation Technique with Performance Analysis",doi:"10.5772/intechopen.89434",slug:"a-new-control-strategy-for-photovoltaic-system-connected-to-the-grid-via-three-time-scale-singular-p",totalDownloads:556,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This chapter addresses the problem of controlling single-phase grid-connected photovoltaic system through a full bridge inverter with L-filter. The control objectives are threefold: (i) forcing the voltage in the output of photovoltaic panel to track a reference. This reference has been obtained from the maximum power point tracking strategy; (ii) guaranteeing a tight regulation of the DC-link voltage; and (iii) ensuring a satisfactory power factor correction (PFC) at the grid such as the currents injected must be sinusoidal with the same frequency and the same phase as the grid voltage. The considered control problem entails several difficulties including: (i) the high dimension and strong nonlinearity of the system; (ii) the changes in atmospheric conditions. The problem is dealt with by designing a synthesized nonlinear multi-loop controller using singular perturbation technique, in which a three-time-scale dynamics is artificially induced in the closed-loop system. A formal analysis based on the three-time-scale singular perturbation technique and the averaging theory is developed to proved that all control objectives are asymptotically achieved up to small harmonic errors (ripples). The performance of the proposed approach and its strong robustness with respect to climate changes are evaluated based on the various simulations results carried out under Matlab/Simulink software.",signatures:"Youssef Mchaouar, Abdelmajid Abouloifa, Ibtissam Lachkar and Mohammed Fettach",downloadPdfUrl:"/chapter/pdf-download/69507",previewPdfUrl:"/chapter/pdf-preview/69507",authors:[{id:"304190",title:"Dr.",name:"Youssef",surname:"McHaouar",slug:"youssef-mchaouar",fullName:"Youssef McHaouar"},{id:"304527",title:"Prof.",name:"Abdelmajid",surname:"Abouloifa",slug:"abdelmajid-abouloifa",fullName:"Abdelmajid Abouloifa"},{id:"304528",title:"Prof.",name:"Ibtissam",surname:"Lachkar",slug:"ibtissam-lachkar",fullName:"Ibtissam Lachkar"},{id:"304529",title:"Prof.",name:"Mohammed",surname:"Fettach",slug:"mohammed-fettach",fullName:"Mohammed Fettach"}],corrections:null},{id:"70493",title:"Battery Internal Fault Monitoring Based on Anomaly Detection Algorithm",doi:"10.5772/intechopen.90497",slug:"battery-internal-fault-monitoring-based-on-anomaly-detection-algorithm",totalDownloads:572,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Battery internal faults are one of the major factors causing safety concern, performance degradation, and cost increases. To extend the lifetime of the battery and bring more security in the system, internal fault detection of solar battery is proposed in this paper using an unsupervised machine learning algorithm based on anomaly detection method. The advantages of adopting such a method consist of using unlabeled data that meet the battery case in the difficulty of obtaining the fault data. In contrast, healthy data can easily be obtained from the battery and therefore allows building the anomaly detection algorithm. The effectiveness of the proposed method is validated using a simulation platform of a stand-alone photovoltaic system developed in Matlab/Simulink that takes as system input a real profile of irradiance and temperature captured from the Centre de Development des Energies renewable (CDER), Algeria. The test results in real-time data show the ability of the proposed approach to detect the fault occurrence in the battery.",signatures:"Nassim Sabri, Abdelhalim Tlemçani and Aissa Chouder",downloadPdfUrl:"/chapter/pdf-download/70493",previewPdfUrl:"/chapter/pdf-preview/70493",authors:[{id:"301782",title:"Ph.D.",name:"Nassim",surname:"Sabri",slug:"nassim-sabri",fullName:"Nassim Sabri"},{id:"309998",title:"Prof.",name:"Abdelhalim",surname:"Tlemçani",slug:"abdelhalim-tlemcani",fullName:"Abdelhalim Tlemçani"},{id:"309999",title:"Dr.",name:"Aissa",surname:"Chouder",slug:"aissa-chouder",fullName:"Aissa Chouder"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"3633",title:"Solar Energy",subtitle:null,isOpenForSubmission:!1,hash:null,slug:"solar-energy",bookSignature:"Radu D Rugescu",coverURL:"https://cdn.intechopen.com/books/images_new/3633.jpg",editedByType:"Edited by",editors:[{id:"8615",title:"Prof.",name:"Radu",surname:"Rugescu",slug:"radu-rugescu",fullName:"Radu Rugescu"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"4479",title:"Solar Cells",subtitle:"New Approaches and Reviews",isOpenForSubmission:!1,hash:"f6907a79a7d35f34d0c719d6297a2667",slug:"solar-cells-new-approaches-and-reviews",bookSignature:"Leonid A. 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This book covers the science and art of the new advanced cement based-materials. The first part is devoted to the properties and processing of cement-based materials. It discusses the various properties (physicochemical, mechanical,...) and the different processing methods used to prepare cement based-materials. The second part focuses on applications of cement-based materials. The third part provides an overview of the modeling of advanced cement based-materials. It also provides easy information about laboratory and industrial applications.
\r\n\r\n\tThe book will benefit scientists, researchers, engineers, who are in the industry and research laboratories; academics who are interested in traditional, new, and advanced cement based-materials; and students pursuing their postgraduate, graduate, and undergraduate degrees in composites, computer modeling, powder metallurgy, nanomaterials, mechanical engineering, manufacturing, and ceramic materials. It offers a comprehensive view of cutting-edge research on new and advanced cement based-materials and technologies.
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The extensive utilization of nonrenewable fossil fuels sources such as petroleum, coal and others has imposed a serious problem of energy depletion beyond the 21st century. Currently, our environment has been severely polluted and the instant effect such as climate change, acid rain, greenhouse effect, etc were the results of these problems. Therefore, it is crucial to balance between exploitation of energy resources and environment protection so that development can be sustainable for the human beings. Thus, a new alternative method should be proposed to overcome this problem, especially in the area of renewable energy. In many developing countries, there is an abundance of biomass and agricultural wastes like sawdust, rice and coconut husks, bagasse and animal dung. Unfortunately, these renewable sources were discharged daily due to its properties (wastes) and too expensive to dispose off. For instance, in Malaysia, a huge amount of biomass wastes from oil palm and rubber industries are being produced daily, estimated at not less than 4.5 million metric tonnes effluent per year.
The simplest way for the farmers to discharge the agricultural waste is by burning them. This practice will contribute to air pollution and increase the greenhouse gases effect. To overcome the waste properties of biomass, they are treated in two senses. First, biomass plant matter is used to generate electricity with steam turbines and gasifiers or produce heat, usually by direct combustion. Second, biomass which includes plant or animal matter can be converted into fibers or other industrial chemicals, including biofuels. Vegetative biomass is generally composed of lignin, cellulose and hemicelluloses and varies in composition depending on plant species. Because of the nature of their chemical structures, biomass materials can easily be converted into biofuels and other useful chemicals in comparison to coals and other fossil energy sources. For instance, in Malaysia, rubber trees plantation cover more than 1.7 million hectares all over the country. These plantations produced agricultural waste that includes rubber seed, rubber seed pod, and rubberwood. Each hectare can produce an approximately amount of 150 – 160 kg of seeds. The search for a low-cost raw material with adequate fuel characteristics for biofuels production is an important step toward establishing a successful biofuels industry. Typically, rubber seed oil, which is nonedible, is considered as a prospective feedstock for alternative fuels production.
In recent years, the liquefaction potential of coals has been investigated to increase the yield of coal conversion processes and the quality of liquid fuels obtained from coal. However, the liquefaction process of coal and biomass materials known as co-liquefaction has not been developed in Malaysia. Typically, rubber seed oil, which is nonedible, obtained from rubber seed is considered as a prospective feedstock for alternative fuels production since it has been found to be rich in oil. Thus, these abundant biomass sources are potential candidates for the production of alternative fuels via co-liquefaction process, and the development of this technology becomes significant in both efficient utilization of resources and improvement of ecological environment. Owing to the fact that energy composition properties are rich in coal, poor in oil and little in gas [1], coal liquefaction to produce alternative petroleum in Malaysia is of great significance to energy security. Malaysian low-rank coals are chosen as the starting material in this study due to the fact that these coals are abundant, low grade and have lower energy content because of their low carbon composition. They are lighter (earthier) and have higher moisture levels. Hence, an attempt should be made for co-liquefaction of Malaysian coals and rubber tree wastes (rubber seed, rubber seed pod or rubberwood), especially for the production of alternative fuels or other chemical feedstocks.
Since 2004, there was no increase in world’s oil supply because of the unavailability of finding new sources and the declining output from older oil fields. The increasing production difficulties mean that the supply of oil will soon begin to decline and that, month by month, the decline will be at an accelerating pace [2]. World energy supply is largely dependent on conventional petroleum products and most of the expected increases in oil demand come from the motorized transport sector, with the largest growth from developing countries. Consequently, the transport sector will become responsible for about one-third of the world’s future greenhouse gas (GHG) emission growth and oil prices may reach dramatically high levels [3].
Coincidentally, a growing concern for fossil fuels exhaustion has shown up in the scientific community in the last decade or so. Because of oil, natural gas and coal are finite natural resources; thus the production of these fossil fuels will reach a peak and eventually start to drop. Then, the process of declining will be accelerated because extraction costs will increase after the fossil fuel resources have been consumed. Thus, the implementation of alternative sources becomes more and more important [4].
The depletion of fossil fuels and tighter environmental regulations has forced the world to adopt alternative renewable fuel sources such as hydro, wind and biomass [5], or others. The government expects that an investment through RM9.7 billion is required for the development of the electric utility sector until 2010 [6]. Analysts predicted that the government’s aim for 2, 080 MW or 11% of all electricity generated nationwide in 2020 to be sourced from environment-friendly renewable energy and this will be a challenging and long-term task [7]. Hence, due to current demands in electricity and with recent developments in the energy sector, alternative renewable fuels must be recognized as an important energy source for the foreseeable future.
Biomass is a local resource that can contribute to the diversification of energy supply and potentially create employment for cultivation, harvesting, transport and fuel preparation. The importance of biomass can clearly be seen from the action plan as reported by the European Commission. The commission has targeted to increase the usage of biomass from 289, 000 TJ in 2003 to about 628, 000 TJ in 2010, as reported in their 2005 “Biomass Action Plan”. The factors that led to almost double the biomass use was due to some important advantages that have been identified. These include (i) less dependence on short-term weather changes, (ii) low costs, (iii) an alternative source of income for farmers and finally (iv) able to promote regional economic structures [8].
Well-managed biomass yields carbon emission-saving fuels when substituted for fossil fuels. Amongst renewable energy sources, biomass appears to be the most important in terms of technical and economic feasibility. Since the content of both nitrogen and sulfur are low in biomass materials, the formation of NOx and SOx gases during combustion or firing the biomass materials is also low. The carbon dioxide released during combustion is equal to the amount of carbon dioxide intake when the plants grow up and this means produce almost no net carbon dioxide emission after combustion [1, 3, 4]. It is therefore today that biomass is considered a major future energy source for development and industry, arousing growing interest worldwide, not only for use in transport. Thus, the utilization and development of biomass energy could solve not only the energy issues, but could surely reduce the main environment problems such as pollution and greenhouse effects. Food crops containing starch/sugar/oil can be processed to produce biofuels where the conversion technologies and markets are readily available. Moreover, with the increasing petroleum prices, the commercial opportunity must be quickly taken into consideration.
Huge amount of biomass wastes in Malaysia, especially from rubber plantation are being produced daily. The use of biomass in direct liquefaction with the aim to ease the petroleum importation has been paid a major concern, especially among researchers. However, several drawbacks that affected the direct liquefaction of biomass are actually attributed to the nature of the biomass itself. These include source of biomass being seasonal and biomass normally having a relatively higher distributing area in comparison to its total amount. Eventually, these factors will directly affect the feedstock supply of biomass and of course limit its large-scale utilization.
Energy from biomass is a large untapped energy source and its direct liquefaction is possible [9-15]. Energy that can be derived from biomass actually exists in all three phases, i.e. (i) gas fuels (synthesis gas from gasification), (ii) liquid fuels (biodiesel, bio-oil and bio-ethanol) and (iii) solid fuels (for use in boiler combustion). However, in terms of energy output, commercially proven technology and versatility in a wide range of processes (biochemical or thermochemical), energy from biomass is proven to be the most feasible short-term solution to substitute fossil fuels in comparison to other underdeveloped technologies, namely, photovoltaics and fuel cells [16].
Peninsular Malaysia, compromising 12 of the 14 states in the Malaysian federation is among the world’s most important rubber growing area. Rubber tree is also grown in Sabah and Sarawak. Altogether, Malaysia produces almost 20% of the world’s natural rubber. More than half of Malaysia’s rubber comes from thousands of privately owned small landholdings, which are usually about 2 hectares. The rest is grown on big estates owned by various companies; each can cover over a 1000 hectares. Overall, Malaysia has about 1.7 million hectares of rubber plantation [10]. Rubber tree, or its scientific name is Hevea brasiliensis, belongs to the family Euphorbiaceae and was found to be the most economically important member of the genus Hevea. This is mainly due to the milky latex collected on the daily basis by using special knife tapping from its bark around the tree. In Malaysia, the leaves of the rubber tree fall by end of year, usually from December up to February and refoliate quickly after that, followed by flowering and also producing a large volume of seeds. These seeds, however, were left underutilized [11]. Because of environmental issues, researchers in Malaysia have pursued it quite extensively to evaluate the potential usage and applications of rubber tree wastes (mostly rubber seed, rubber seed pod and rubber wood) through various chemicals and biological determinations. Figure 1 shows the typical scenario of rubber tree plantation in Malaysia and Figure 2 shows the components of rubber tree wastes. Rubber seeds have been found to be rich in oil. Its content in the dried kernel varies from 35 to 45%. It is semi-drying and consists of 17 – 22% saturated fatty acids and 17 – 82% unsaturated fatty acids, and is comparable to drying oils commonly used in surface coating [17]. Rubber seed oil has been found to have potential applications in many areas, which include production of biodiesel as fuel for compression engines [18, 19], foaming agent in latex foam, in the synthesis of alkyd resin used in paints and coatings [17] and several other uses [20]. Thus, the potential of rubber seed to be further utilized in other areas such as co-liquefaction with coal to produce alternative fuels and other useful products provides great opportunity. Table 1 shows the properties of rubber seed oil.
Typical rubber tree plantation scenario in Malaysia.
Components of rubber tree wastes: (a) young seeds, (b) ripe seeds, (c) fruit in an opened pod/pericarp and (d) kernel and shell of rubber fruits.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Palmitic acid C16:0 | \n\t\t\t10.2 | \n\t\t
Stearic acid C18:0 | \n\t\t\t8.7 | \n\t\t
Oleic acid C18:1 | \n\t\t\t24.6 | \n\t\t
Linoleic acid C18:2 | \n\t\t\t39.6 | \n\t\t
Linolenic acid C18:3 | \n\t\t\t16.3 | \n\t\t
Specific gravity | \n\t\t\t0.9 | \n\t\t
Viscosity at 40 °C (mm2/s) | \n\t\t\t66.2 | \n\t\t
Flash point (°C) | \n\t\t\t198.0 | \n\t\t
Calorific value (MJ/kg) | \n\t\t\t37.5 | \n\t\t
Acid value (mg KOH/g) | \n\t\t\t34.0 | \n\t\t
Properties of rubber seed oil [18].
The Malaysian government policy on energy utilization and consumption has approved to increase the coal base generation of electricity from 11% to about 33% by the year 1995 and 2020, respectively [21]. Moreover, the coal reserves in Malaysia, which are mainly located in the states of Sarawak (70% reserves), Sabah (28%) and other states (2% from Selangor, Perak and Perlis), have total reserves of about 1, 050 million tonnes of various qualities, ranging from lignite to anthracite [21, 22, 23]. However, the only coal deposit being mined in Malaysia is from Kapit area, Sarawak.
Since early 1999, Tenaga Nasional Bhd. (TNB), the major electricity provider and Sarawak Electric Supply Co. (SESCO) have purchased 120, 000 and 400, 000 tonnes per annum (tpa), respectively, from Kapit coal mine [24]. SESCO operates the 100 MW Kapit minemouth coal-fired power station, where two 50 MW units supply electricity to the Sarawak grid. TNB has projected to double to 20 million tpa its coal import once two planned coal-fired plants (total of 1400 MW) are fully commissioned. Moreover, the construction work has started on the 2100 MW Pulau Bunting power station, which will burn 6 million tpa of coal. In order to secure low coal prices and improve the security of coal supply, TNB’s long-term plan is to buy 30 to 50% of its annual coal requirement from its Indonesian coal mining subsidiary, TNB Coal International Ltd., which owns the right to mine in five areas in South Kalimantan. Malaysia imported about 2.9 million tonnes of coals in 1999, i.e. 85% were steam coal and 15% anthracite and bituminous coal. This amount of coal was needed to fulfill the requirement for its cement and utility industries. Indonesia, Australia, China and South Africa were the major overseas suppliers [23].
Based on the statistics reported in The Eighth Malaysia Plan by the Department of Minerals and Geosciences, Sarawak; Mukah Balingian (MB) was identified as the second largest coal area in Malaysia with reserves of
From Table 2, it can be seen that MB coal has relatively high oxygen and volatile matter contents. The petrographic analysis of this coal shows a vitrinite reflectance value of 0.40% and thus can be categorized as a low rank coal, i.e. sub-bituminous C rank [26]. Further, previous work by Ismail et al. [27] using high pressure Temperature Programmed Reduction (TPR) on the pyrite-free MB coal also confirms that this coal is of a low rank by observing the organic sulfur distribution in the coal. Moreover, Rodriguez et al. [28] suggested that low rank coals are normally composed of small aromatic clusters and contain many cross-links and functional groups, and thus, are very reactive and undergo fast and extensive bond breaking during liquefaction.
Characteristics of raw Mukah Balingian coal [29].
daf = dry ash free basis; db = dry basis; 1calculated by difference;
2Fixed carbon/volatile matter.
Moreover, the petrographic analysis shows that the composition of the coal is dominated by vitrinite that constitutes about 60% by volume of the whole rock, with 31% liptinite (formerly known as exinite), 8% inertinite and 1% mineral matter. Pyrite, however, is present in trace amount. The high content of reactive macerals, i.e., vitrinite and liptinite, that contributes up to 91% of the organic matter content, serves as an important characteristics for carbonization and liquefaction processes of coal [30]. Interestingly, this high value of reactive macerals is in accord with the value suggested by Van Krevelen [31], under the reactivity parameter group to characterize coal for direct liquefaction. It is also known that the vitrinite and liptinite can be extracted readily, which makes the extraction yield correlate broadly with its content [31].
Another important characteristic of MB coal is the thermal behavior of decomposition under pyrolysis conditions via thermogravimetric analyser (TGA). The pyrolysis of raw MB coal via TGA at a heating rate of 20 °C min-1 is shown in Figure 3. The TG curve (Figure 3(a)) of the raw coal shows the weight loss profile with the weight decreasing as temperature is increased from ambient to 1000 °C. The weight loss profile resembles that of a first-order reaction.
(a) TG and (b) DTG profiles for the thermal decomposition of pyrolysed raw MB coal [
Figure 3 (b) shows the differential weight loss (DTG) for the raw MB coal that consists of three main stages. This conforms to previous findings as reported by Probstein and Hicks [32], Kastanaki et al. [33], Serio et. al. [34] and Radovic et al. [35]. The first-stage pyrolysis, which occurs at temperatures ranging from ambient to 150 °C, involves the dehydration of water and releasing of gas composed of oxides of carbon from the coal. The second-stage pyrolysis, which occurs at temperatures of 200 – 550 °C, however, is due to the release of volatile matter such as hydrocarbon gases, light oils and tars, and is of interest in this study. Finally, the third-stage pyrolysis shows the appearance of some minor curves at temperatures ranging from 550 to 650 °C and from 700 to 800 °C, that were attributed to the release of heavier hydrocarbons and non-condensable gases, mainly hydrogen, and from thermal decomposition of carbonates that are abundant in low rank coals.
Also, from the DTG profile of the raw MB coal, it can be estimated that the softening temperature of this coal is around 350 °C. Merrick [36] suggested that with extraction using liquid solvents, the preferred extraction temperatures lie in the range where the coal starts to decompose thermally, and typically, the extraction is carried out at about 350 – 450 °C. Moreover, Van Krevelen [30] suggested that temperatures around 350 °C were found to be an indicative value for softening temperature in order to characterize coal for direct liquefaction. Thus, it can be suggested that MB coal would be a good feedstock and suitable for liquefaction and/or gasification processes and, hence, optimize the utilization of low rank Malaysian coal.
In predicting potential conversion of coal, Guyot [37] investigated the relationship between coal properties and liquefaction potential. Guyot introduced a useful correlation called “petrofactor”, which derived from the correlations containing terms of factors based on the maceral composition and the maximum reflectance of vitrinite (as shown by Equation 1). A wide rank of coals ranging from brown coal, high-, medium- and low-volatile bituminous coals have been used to obtain potential conversion for all coals, where –2.5 was obtained from the slope of the correlation. The maximum reflectance of vitrinite functions as a rank parameter, whilst the reactive maceral content as the petrological parameter. Usually, the reactive maceral content is considered to be equal to the sum of vitrinite and liptinite. Figure 4 shows the correlation of potential coal conversion with petrofactor as suggested by Guyot [37], and the estimated coal conversion was approximated based on formula in Equation 2.
Correlation of coal conversion with petrofactor [
The potential conversion of raw MB coal during liquefaction could be estimated using the “Petrofactor” proposed by Guyot [37] (refer Equations 1 and 2). The petrofactor value for the raw MB coal is calculated from Equation 1 and the potential conversion is then estimated using Equation 2. Table 3 shows the results of petrofactor value and estimated coal conversion of raw MB coal. Thus, based on Equation 2, it is estimated that about 89% of raw MB coal would be converted during liquefaction process.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Maximum reflectance of vitrinite | \n\t\t\t0.40% | \n\t\t
Total reactive maceral content | \n\t\t\t(Vitrinite + Liptinite) = 91% | \n\t\t
Petrofactor | \n\t\t\t1000 x (0.40%) / (91%) = 4.40 | \n\t\t
Estimated coal conversion | \n\t\t\t100 – 2.5 (4.40) = 89% | \n\t\t
Petrofactor value and estimated conversion of raw MB coal [29].
In order to reduce operation cost and capital, and also to increase coal liquefaction efficiency, the liquefaction processes were usually carried out at less severe conditions. However, in most of coal liquefaction, the temperature used was higher than 400 °C and at relatively higher pressures. Thus, many attempts have been made by researchers to establish and develop methods of liquefying coals at lower temperature and pressure. Mukah Balingian, a low rank Malaysian coal, was extensively used in liquefaction study [29]. In the investigation, three different types of pretreatments, i.e. solvent swelling, in-situ solvent soaking and heating and microwave irradiation have successfully been applied to the untreated Mukah Balingian coal prior to liquefaction. The main objective of the pretreatments was to further enhance coal conversion (solid to liquid) and oil yield at less severe liquefaction conditions. The study found that all the applied pretreated coals showed an increase in both conversion and oil yield. A good coal-to-solvent contact and weakened coal structure were found to be equally important factors in determining high coal conversion and oil yield obtained during liquefaction [29].
Because of the increased demands and limited reserves of petroleum, the concern of energy security has made the direct coal liquefaction (DCL) become important in producing alternative transportation fuels. DCL is a technology to convert coal directly into transportation fuels and chemicals, which is conducted at high temperatures and pressures in the presence of solvents [1]. However, because DCL is usually conducted under severe reaction conditions with higher hydrogen consumption, it makes the cost of oil from DCL difficult to compete with that from crude oil, and thus the development of DCL is limited for large-scale applications [25].
On the contrary, biomass such as rubber seed is a cheap and renewable organic energy source; the liquefaction of biomass to convert into alternative transportation fuels has been paid more and more attention. Thus, a new alternative method should be proposed or investigated in order to overcome this crucial global issue.
One of the solution to the above-mentioned situations encountered with coal and biomass is by the co-liquefaction of both of them. This can also maintain the stability supply of the materials. Moreover, one of the advantages of using biomass is that it accelerates the thermal decomposition of coal macromolecular structure by reducing the severe reaction conditions, especially the temperature during liquefaction. By producing smaller molecular fragments, it enables the combination with the large fractions produced from coal decomposition and simultaneously terminate the cross-linking reaction between them (this is to avoid the production of larger molecular weight products). Thus, the yield of low-molecular-weight products will be increased, oil quality improved and eventually, will reduce the yield of the residue during co-liquefaction process [25].
Most of the research works done for alternative energy sources have shown that, in general, co-processing or known as co-liquefaction of coal with biomass-type wastes has a positive effect on the liquefaction yields and product quality [14, 15]. Co-liquefaction of coal with biomass has gained increasing research interest due to the growing concerns over greenhouse gas emissions [28]. Because biomass materials also contain abundant hydrogen, co-liquefaction of coal and biomass waste is one of the best and feasible option to reduce the consumption of hydrogen as well as to avoid severe reaction conditions during co-liquefaction. Till today, however, very limited research work has been carried out in this field.
The mechanism of co-liquefaction of coal and biomass is believed to be a radical process. Thus, the unstable free radical fragments which are formed during pyrolysis of coal and biomass will be stabilized by active hydrogen contributed from biomass to form hydrogenation/lower-molecular-weight products. Researchers anticipated that there is a synergistic effect (synergy is two or more things functioning together to produce a result not independently obtainable) in the co-thermolysis process, and the yield of solid products from co-thermolysis is different from the arithmetic calculated value [1].
Hua
The liquefaction process of coal and biomass materials, which is known as “Co-liquefaction”, has not been developed in Malaysia. The yields and quality (especially H/C ratio) of the liquid products obtained from coal under less severe liquefaction conditions (at lower temperature and pressure) can be improved with co-liquefaction of coal and biomass. Therefore, the cost of oil produced from direct coal liquefaction can be reduced significantly. The process can make full use of hydrogen in biomass, thus decreasing the consumption of hydrogen and moderating the conditions of DCL [1].
Some important parameters for co-liquefaction are the materials used, the design of the reactor, pressure, extraction solvent, temperature, holding time and catalyst used. Hua et al. [38] reported that the rice straw contains 68.3 w/% of volatile matter and resulted in 60.3% of oil at 420 °C. However, rice straw contains high amount of silica. Shui et al. [39] reported that fir sawdust contains 78.2 w/% of votalite matter and results in 55.2% of oil at 420 °C. However, fir occurs in mountains over most of the range. Guo et al. [25] reported that poplar sawdust contains 80.27 w/% of volatile matter and results in 59.19% of oil at 360 °C. However, high tannic acid content is present in poplar. Basic properties of crude rubber seed oil and crude palm oil blend as a potential feedstock for biodiesel production with enhanced cold flow characteristics were studied by Yusup et al. [40] and the inspections determined that the rubber seed oil can be used in the current diesel machines with no alteration required, confirming the adaptability of the produced biodiesel to the current standards. This shows that the characteristic of rubber seed as a biofuel material is more suitable than rice straw, fir sawdust, poplar sawdust and other biomass that contains less oil.
Hua et al. also [38] suggest that the FeS catalyst used has a good catalytic hydrogenation activity on rice straw, but the drawback of this catalyst is that it is low in basicity to reduce carboxylic acid present in the vegetable oil. An alternative for the FeS usage as a catalyst is by using dolomite. Dolomite is a natural rock found abundantly in certain areas of Malaysia and Thailand. Due to its very low cost to produce and being easy to obtain, the main domestic usage of dolomite is currently in the landfill site and in cement manufacturing. CaCO3 and MgCO3 are the major components of dolomite with a small amount of silica and ferrite. In a simple calcination process at high temperatures, the CO3 group in pure CaCO3 will decompose to produce CaO (which is highly basic) and MgO [41].
Guo et al. [25] state that the temperature is the most important factor during liquefaction. Shui
Hence, an attempt should be made for co-liquefaction of low-rank Malaysian coal and biomass wastes such as rubber tree wastes (rubber seed, rubber seed pod or rubberwood) for the production of alternative fuels and other important purposes such as chemical feedstocks. Working on the area of energy has now become the priority in most of laboratories worldwide. In Malaysia particularly, under the New Economic Model (NEM), innovation and research is regarded as crucial factor to propel the industry. The research in this area certainly contributes to the increases in energy sector that part of National Key Economic Area (NKEA). Furthermore, a competitive domestic economy can be created as part of Strategic Reform Initiative (SRI) [42].
Today, the term biofuels mostly refers to ethanol and esterified vegetable oil. Scientifically, a biofuel is a type of fuel whose energy is derived from biological carbon fixation. Biofuels include fuels derived from biomass conversion, as well as solid biomass, liquid fuels and various biogases. It is known that especially agricultural-based alternative fuels have a considerable effect on decreasing net CO2 emissions [43].
New products such as methanol, dimethyl ether, Fischer-Tropsch (FT) diesel and ethanol from lignocellulosic feedstock are benefiting from R&D programs. The most controversial such energy carrier is first-generation biofuels, i.e. biodiesel and bioethanol from sugar, starch and oil bearing crops or animal fats that in most cases can also be used as food and feed [44]. During the past years, researches on converting lignocellulosic biomass into bioethanol are actively undertaken, aiming to produce the second-generation biofuels, which has no competition with food and is thus sustainable [45]. A review from Akhtar et al. [46] on the process conditions for optimum bio-oil yield in hydrothermal liquefaction of biomass includes various parameters, including temperature, particle size, biomass feedstock, heating rate, density, pressure, residence time and reducing gas/hydrogen donors. In short, they found out that the major parameters that influence yield and composition of bio-oil are temperature, properties of solvent, solvent density and type of biomass.
A number of biofuels for transport are potentially available and are currently being used or investigated at different stages of development worldwide. A study in Australia [47] found out that the crop stubble – the fibrous stalk, leaf and chaff material left after grain (or other products) has been harvested – is an agricultural source of lignocelluloses biomass for second-generation biofuels.
One of other such plants that were used for biofuels production is the once unpopular Jatropha Curcas (JC). JC is a perennial subtropical shrub that produces oil-rich seeds. A study by Jingura [48] on the technical options for optimization of production of JC as a biofuel feedstock in arid and semiarid areas of Zimbabwe proves that JC has been promoted extensively as an energy crop for biodiesel in the tropics.
Example of a complete fractionation process of co-liquefaction products.
Apart from the high oil content in the seed, JC was only planted for the fruit. It is not JC seeds that we found more massive when placed on a scale of comparison with the rubber seed. Unlike JC, rubber trees can produce both latex and high oil content seed. According to Kalam et al. [49], the flash point of JC oil is 229 ± 4 °C which is higher than that of rubber seed oil with the flash point of 198 °C. These properties can be an advantage to the rubber seeds as an alternative biomass in producing bio-oil or biofuel.
There are so many advantages associated with the use of rubber seed to produce biofuels including the large reserve for the production of nonedible products, do not necessarily require cultivation of new plantations, more profitable to farmers, and reinvogorate the economy of local communities. These advantages show great potential of rubber seeds as the biomass for biofuel productions. Several works have been done dealing with the production of biofuel from the rubber seed. A study by Melvin et al. [50] entitled, “A multi-variant approach to optimize process parameters for biodiesel extraction from rubber seed oil” shows that the discarded rubber seed from the hefty rubber plantation of Southern India is considered as the potential source for extracting oil for biodiesel production.
Therefore, alternative fuels, which are also known as nonconventional or advanced fuels, are any substances or materials that have the ability to be utilized as fuels. Commonly available alternative fuels include biodiesel (oil obtained from plant or fruit which was transesterified), bio-alcohols (methanol, ethanol and butanol), fuel cells, batteries, nonfossil methane, hydrogen, nonfossil natural gas, vegetable oil, propane and also other biomass sources. Figure 5 shows the example of a complete fractionation process of co-liquefaction products after liquefaction.
Huge amount of biomass wastes in Malaysia, especially from rubber plantations, are being produced daily. The rubber tree produces large volumes of seed, which is underutilized. Rubber seed would be a highly potential candidate for co-liquefaction process as it is absent in silica, easily collected and does not contain tannic acid. In addition, the oil content in the rubber seed is roughly around 40 – 60 %, which is suitable to replace other non-seed biomass. No study has been done on the rubber seed as the material in co-liquefaction process. The existence of synergystic effect between the coal and rice husk, fir sawdust and poplar sawdust was already known. However, the synergistic effect between the rubber seed and Mukah Balingian, a low rank Malaysian coal in the co-liquefaction process, has not yet been evaluated by any research works. And so far, there is no research on co-liquefaction of biomass and coal in Malaysia. It is also a must to investigate the synergistic effect between the coal and rubber seed.
Vegetable oil has the potential to supplement petroleum-based fuels; however, its high FFA, thereby its high viscosity, deters its usage in internal combustion engine directly. Dolomite has received, however, less attention in the basic catalyzed chemical syntheses, in spite of its high basicity, low cost, less toxicity and environmental friendliness. Thus, dolomite as reduction catalyst is a good option to reduce the amount of acid present in the rubber seed oil during the co-liquefaction process. The main pyrolysis temperature range of coal is much higher than that of biomass and the releasing rate of volatile matter of coal is much lower than that of biomass, causing different liquefaction temperature range. The temperature range will be investigated to determine the temperature that can promote the highest conversion of both coal and biomass. From the co-liquefaction process with varied parameters, it is predicted that the percent of product yield will be more than the individual liquefaction of coal and rubber seed alone.
It is anticipated that a significant contribution could be made from this co-liquefaction process between rubber seed and coal, i.e.:
Contribution in terms of development and improvement of the co-liquefaction technique by using high pressure – high temperature reactor system.
Valuable information of the extracts, i.e. alternative fuels obtained from the co-liquefaction processes would be useful to other areas and researchers.
Provide useful information of Malaysian coal, especially in fuel chemistry area for Coal Bank data.
As an alternative choice to conventional methods of energy consumption in Malaysia.
The authors would like to acknowledge the Ministry of Education, Malaysia, Ministry of Science, Technology and Innovation Malaysia and Universiti Teknologi MARA for supporting the research work.
The genus
Domain | Eukaryota |
Kingdom | Plantae |
Subkingdom | Viridaeplantae |
Phylum | Tracheophyta |
Subphylum | Euphyllopsidia |
Infra phylum | Radiatopses |
Division | Magnoliophyte |
Class | Magnoliopsida |
Subclass | Dilleniidae |
Superorder | Urticaneae |
Order | Urticales |
Family | |
Genus |
Since ancient times,
Phytochemicals are the bioactive components of plants having great importance in pharmaceutical and medicinal field. The genus
Ficus species | Plant parts | Extracting solvent | Class | Phytochemical components | References |
---|---|---|---|---|---|
Barks | Water, methanol, organic solvents, helium | Polysterols | Bergapten, bergaptol, lanosterol, β-sitosterol, stigmasterol, β-sitosterol-d-glucoside (Phytosterolin) | [24, 25] | |
Flavonoids | Leucocyanidin-3-O-β-glucopyranosid, leucopelargonidin-3-O-β-d-glucopyranoside, leucopelargonidin-3-O-α-l-rhamnopyranoside, lupeol, cetyl behenate, acetate and α-amyrin acetate | ||||
Polyphenols | Tannin, wax, saponin, leucoanthocyanidin, leucoanthocyanin | ||||
Fruit | Water | Flavonols | Kaempferol, quercetin, and myricetin | [26, 27] | |
Miscellaneous compounds | Undecane, tridecane, tetradecane, (e)-β-ocimene β-bourbonene, β-caryophyllene, α-trans bergamotene, α-thujene, α-pinene, β-pinene, α-terpinene, limonene, dendrolasine, dendrolasine α-ylangene, α-copaene, aromadendrene, α-humulene, alloaromadendrene, germacrene, bicycle-germacrene, γ-cadinene and δ-cadinene | ||||
Leaves | Ethanol | Polyphenols | Eugenol, 2-phenylethyl alcohol, and benzyl alcohol, hexenol, n-hexanol, phytol, benzyl alcohol | [28] | |
Miscellaneous compounds | Phenol, salicylaldehyde, phenylacetaldehyde, allyl caproate, linalool, n-nonanal, adipoin, methylcyclopentane, 2-dione, itaconic anhydride, 2-phenylethyl alcohol, benzeneacetonitrile, nonadienal, nonen-1-ol, nonadienol, linalool oxide, catechol, coumaran, cinnamyl alcohol, vinylguaiacol, hexenyl tiglate, eugenol, hexenyl hexenoate, β-ionone, dihydroactinidiolide, α-copaene, hexenyl benzoate, eudesmol, eudesmol, epi-α-cadinol, β-eudesmol, α-eudesmol, α-cadinol, pentadecanal, palmitic acid and itaconic anhydride, 3-methylcyclopentane-1, 2-dione | ||||
Leaves and fruits | Ether, chloroform and ethanol | Flavonols | Kaempferol, quercetin, myricetin | [29] | |
Phenolic acids | Betulinic acid, lupeol | ||||
Sterols | Stigmasterol, bergapten, scopoletin, β-sitosterol-3-O-β-d-glucopyranoside | ||||
Whole plant | N-butanol, ethanol and methanol | Flavonoids | Quercetin, quercetin 3-O-l-rhamnopyranosyl (1-6)-β-d-glucopyranoside, quercetin 3-O-β-d-glucopyranoside (isoquercitrin), quercetin 3,7-O-α-l-dirhamnoside, quercetin, 3-O-β-d-galactopyranosyl(1-6)-glucopyranoside | [30] | |
Sterol | β-Sitosterol-3-β-d-glucopyranoside | ||||
Phenolic acids | Gallic acid | ||||
Dried fruit | Water | Flavonoids | Alkaloids, flavonoids, coumarins, saponins, rennin, caoutchouc, resin, albumin, cerin, sugar and terpenes | [31] | |
Latex | Water | Enzymes | Proteolytic enzymes, diastase, esterase, lipase, catalase, and peroxidase | [32] | |
Phenolic acids | Malic acid | ||||
Leaves | Water | Coumarins | Psoralen and bergapten | [33] | |
Flavonoids | Rutin, quercetin, and luteolin | ||||
Phenolic acids | Ferulic acid | ||||
Phytosterols | Taraxasterol, psoralen and bergapten (5-methoxypsoralen) | ||||
Pulp | Water | Phenolic acids | Chlorgenic acid | ||
Peel | Water | Coumarins and sterol | Quercitin-3-O-rutinoside, psoralen | ||
Aerial roots | Water and methanol | Polyphenols | Saponins, tannins, glucoside and flavonoids | [14] | |
Sterol | β-Sitosterol-α-d-glucose and meso-inositol | ||||
Stem bark | Water | Polyphenols | Alkaloids, balsams, carbohydrates, flavonoids, free anthraquinones, tannins, glycosides, terpenes, resins, sterols and saponins, glycosides | [34] | |
Leaves | Water | Volatile compounds | Carvacrol, α-caryophyllene, caryophyllene oxide, linalool, 3-tetradecanone, geranylacetone, 3,7,11-trimethyl-3-hydroxy-6;10-dodecadiene-1-yl acetate, hexahydrofarnesyl acetone, α-caryophyllene, 2-methyl-3-hexyne and scytalone | [35] | |
Roots | Water | Phenolic acids | Betulinic acid and ursolic acid | [36] | |
Anthocyanins | Trihydroxy-stilbene-3, 5-O-β-d-diglucopyranoside, euphol-3-ocinnamate, lupeol, taraxar-14-ene | ||||
Aerial roots | Triterpenoids | Friedelin, lupeol, oleanolic acid, ursolic acids | [37] | ||
Leaves | Flavoinoids | Catechin, epicatechin and isovitexin | |||
Leaves | Methanol | Polyphenols | 1,2-Benzenedicarboxylic acid-dibutyl ester, phenol, 4-(2aminopropyl), butyrolactone | [38] | |
Aerial parts | Ethanol | Flavonols | Luteolin, afzelechin, catechin, vitexin, β-sitosterol acetate, β-amyrin acetate, moretenone, β-amyrin | [39] | |
Sterols | β-Sitosterol, friedelenol | ||||
Stem bark | Water | Anthocyanins | Cetyl behenate, lupeol, α-amyrin acetate | [40] | |
Leaves and bark | Water | Sterols | β-Sitosterol and a new tetracyclic tritepene-glaunol acetate | ||
Fresh leaves and stem | Methanol | Anthocyanins | Amyrin acetate, α-amyrin acetate, lupeol, β-amyrin, α-amyrin, rhoiptelenol, 3α-hydroxyisohop-22(29)-en-24-oic acid, lupenyl acetate | [41] | |
Phenolic acids | Ursolic acid, betulinic acid | ||||
Stem bark | Water | Terpenes | Pentacyclic triterpenes 8,26-cyclo-urs-21-en3β, 20β-diol and 3β-acetoxy-8, 26-cyclo-ursan-20β-ol and also 3-friedelanone | [42] | |
Phenolic acids | Oleanolic acid, betulinic acid | ||||
Anthocyanins | Lupeol acetate, α and β amyrine, 3,5,7,4′-tetra hydroxyl flavones | ||||
Leaves | Hot and cold water | Flavonols | Triterpene, conrauidienol, and dihydroflavonol, conrauiflavonol, 3,4’,5-trihydroxy-6’’,6’’-dimethylpyrano[2,3-g]flavone | [43, 44, 45] | |
Anthocyanin | β-amyrin acetate, 6β-hydroxystigmasta-4,22-dien-3-one, 8-prenylapigenin | ||||
Phenolic acid | Betulinic acid, ursolic acid | ||||
Flavonoids | Luteolin, catechin, epigallocatechin, orientin | ||||
Sterol | β-Sitosterol glucoside | ||||
Whole plant | Water | Phenolic acid | Gallic acid | [46] | |
Anthocyanin | 3, β-hydroksilup-20(29)-en, (lupeol) | ||||
Polyphenols | Carbohydrates, glycosides, saponins, resins, fat, flavonoids, tannins, and phenolic compounds. Alkaloids and steroid were absent | [47] |
Phytochemical quality of various parts of commonly used species of
Plant parts | ES | TPC | TFC | TF | AAC | TAC | TSC | TA | References | |
---|---|---|---|---|---|---|---|---|---|---|
Roots | Ethanol | 70 mg/g extract | 5 mg QE/g extract | 3 mg QE/g extract | [48] | |||||
Pulp | Water | 0.49–0.88 mg GAE/g | [49] | |||||||
Leaves | Hexane | 6.6–9.5 M/TE | [50] | |||||||
Dried leaves | Hexane | 17.44 mg/g | 3.87 mg/g | [51] | ||||||
Dried leaves | Methanol | 7.83 mg/g | 1.05 mg/g | [51] | ||||||
Fruit | Ethanol | 28.6–211.19 mg GAE/100 g FW, 11.9 mg/g of DM | 2.75 μg CE/mg sample | 9.6% | 0.59% | 0.0–298.6 μg cy-3-rutinoside/g FW | [52, 53] | |||
Fruit | Hexane | 259.2 mg GAE/g | [54] | |||||||
Methanol | 245.2 mg GAE/g | |||||||||
Chloroform | 159.2 mg GAE/g | |||||||||
Pulp | Methanol | 28–30 mg/100 g extract | [55] |
Phytochemical content of various parts of commonly used species of
ES: extracting solvents, TPC: total phenolic content, TFC: total flavonoid content, TF: total flavonols, AAC: ascorbic acid content, TAC: total alkaloid content, TSC: total saponin content, TA: total anthocyanins, DM: dried material, QE: quercetin equivalent, TE: trolox equivalent, ep: edible pulp, GAE: gallic acid equivalent, FW: fresh weight.
Antioxidants are the substances which can scavenge free radicals and reduce the oxidative stress in the living and nonliving systems. The antioxidants possess electron donating ability and inhibit the free radical-mediated oxidative reactions by various mechanisms, such as, hydrogen donation, metal chelation, metal and lipid reduction, inhibition of lipid peroxidation and free radical inhibition [56, 57, 58, 59, 60]. Free radicals are the reactive oxygen and nitrogen species which are produced during various biochemical reactions particularly redox reactions. If not controlled properly, these free radicals may initiate the chain reactions in the biomolecules particularly the lipids and protein, cause the oxidative stress, and finally lead to the oxidative damage to the cell organelles, cells and tissues [24]. The oxidative damage to the cells and tissues may further lead to various health problems including cardiovascular, neurological, hepatic, and musculoskeletal abnormalities and aging. In nonliving system, the free radicals cause oxidative stress and rancidity in the food stuff for human [25]. The naturally occurring antioxidant compounds have been proved to be effective in preventing the oxidative damage to the living and nonliving systems [26]. These substances are either synthesized endogenously or taken from exogenous natural sources such as plants. The naturally occurring antioxidants include some enzymes such as glutathione peroxidase, catalase, superoxide dismutase and some non-enzymatic phytochemicals compounds including phenolic acids, polyphenols, flavonoids, anthocyanins, ascorbic acid, tocopherols, and β-carotenes [27, 28]. Some synthetic antioxidant compounds have been also reported to be effective against free radical-induced oxidative damage [29].
The antioxidant profile of various parts of
Part | ES | TEAC* | FRAC | DPPH-RSC | ABT-RSC | ILP | LRA | References | |
---|---|---|---|---|---|---|---|---|---|
Stem | Methanol | 16.2% | 8615.3 mmol/g DM | [61] | |||||
Bark | Ethanol | 79% | 10884.6 μmol/g DM | ||||||
Roots | Water | 0.5–0.26 mg/ml | |||||||
Leaves | Water | 0.13–0.66 mg/ml | IC50: 0.34 mg/ml | IC50: 0.23 mg/ml | 83.30% | [51] | |||
Leaves | Methanol | 0.07–0.26 mg/ml | IC50: 0.69 mg/ml | IC50: 0.97 mg/ml | [51] | ||||
Mouse liver | Normal saline | 4.20–5.31 μmol TE/g ep | EC50: 313.3 μg/ml | [55, 62] | |||||
Chicken liver | Normal saline | EC50: 333.8 μg/ml | |||||||
Fruit | Methanol | 0.08–0.33 mg/ml | IC50: 0.95 mg/ml | IC50: 0.35 mg/ml | 41–83% | [51] | |||
Fruit | Methanol | 77.6 mg AC/100 g FW | 104.9 mg CE/100 g FW | 577.09 mg BH/100 g FW | [63, 64] | ||||
Ethanol | 146.67 mg AC/100 g FW | 146.9 mg CE/100 g FW | 729.45 mg BH/100 g F W | ||||||
Roots | Acetone | 0.1–0.45 mg/ml | IC50: 0.29 mg/ml | IC50: 0.25 mg/ml | 41–83% | [51] | |||
Bark | Water | 0.06–0.32 mg/ml | IC50: 1.03 mg/ml | IC50: 0.48 mg/ml | [51] | ||||
Leaves | Methanol | SC50 (74.00 μg/ml) | [65] | ||||||
Leaves | Acetone | 0.04–0.22 mg/ml | IC50: 2.54 mg/ml | IC50: 0.86 mg/ml | 41.40% | [51] | |||
Aerial roots | Methanol | 71% | 6096.1 μmol/g DM | [61, 66] | |||||
Acetone, Water | 0.1–1.0 mg/ml | 96.07% | 6182.7 μmol/g DM | ||||||
Stem bark | Methanol | 84.088% | [67] | ||||||
Stem bark | Chloroform | 83.864% | |||||||
Stem bark | Hexane | 42% | |||||||
Leaves | Acetone | 2.32%, 4.73 mg GAE/g DW | [68] | ||||||
Leaves | Hexane, water | 14.04%, 23.50 acetate/g DW | 7.9–16.1 mmol/kg FW | 11.42 mmol/100 g DW | 6.48 mmol/100 g DW | [52, 69, 70] | |||
Fruit | Dichloromethane | IC50: 0.02 mg/ml | [71] | ||||||
N hexane | IC50: 1.64 mg/ml | ||||||||
Root, Bark | Water | IC50: 1.62–47.50 μg/ml | IC50: 0.91–6.48 μg/ml | 86.13% | [72] | ||||
Leaves | Acetone | 2.65%, 8.23 mg GAE/g DW | [68] | ||||||
Leaves | Ethanol | SC50 > 0.4 mmol/100 g DW | [73] | ||||||
Bark | Water | 489.4 mg GAE/g DW | 104.57 μmol FSE/mg DE | 56.50 QE/mg DE | [74] | ||||
Unripe fruit | 62.34 GAE/g DW | 19.61 μmol FSE/mg DW | 7.3 QE/mg DE | ||||||
Leaves | Acetone | 2.60%, 9.80 mg GAE/g DW | [68] | ||||||
Fruit | Methanol | 55.9% | 93.91% | [75] | |||||
Fruit | Water | 5.89 mg GAE/g DW | 1.82 mmol FSE/g DE | IC50 = 111.20 μg/ml | 1.01–1.04 mmol TE/g DE | [76] | |||
Leaves | Acetone | 2.60%, 19.24 mg GAE/g DW | [68] | ||||||
Bark | Ethyl acetate | 436 mg GAE/g DW | 63.2 μg/ml | 1.2 μg/ml | 4.83 μg/ml | [71] | |||
Leaves | Ethanol | 86.13% | |||||||
Hexane | 86.76% | ||||||||
Leaves | Ethanol | 90.70% | [71] | ||||||
Hexane | 88.97% | ||||||||
Leaves | Ethanol | 90.13% | [71] | ||||||
Hexane | 94.38% | ||||||||
Fruit | Water organic solvents | 17.9 g GAE/g DW | [22] | ||||||
Leaves | Ethanol | SC50 (8.27, 12.14 μg/ml) | 80.41% | [65] | |||||
Methanol | SC50 (38.37 mg/ml) | [65] | |||||||
Dried leaves | Methanol | SC50 (61.67 μg/ml) | [65] | ||||||
Pulp | Methanol | SC50 (60.22 μg/ml) | [65] | ||||||
Leaves | Methanol | SC50 (81.62 μg/ml) | [65] | ||||||
Leaves | Acetone | 3.70%, 56.85 mg GAE/g DW | [68] | ||||||
Leaves | Acetone | 2.35%, 4.75 mg GAE/g DW | [68] | ||||||
Leaves | Acetone | 3.15%, 8.04 mg GAE/g DW | [68] | ||||||
Leaves | Acetone | 2.45%,5.40 mg GAE/g DW | [68] | ||||||
Leaves | Acetone, hexane and methanol | 2.60%, 12.33 mg GAE/g DW | SC50 (79.50 μg/ml) | 82.35% | [65, 68] | ||||
Leaves | Acetone | 2.40%, 4.64 mg GAE/g DW | [68] | ||||||
Leaves | Ethanol | 86.40% | [71] |
Antioxidant potential of extracts from various parts of
ES: extracting solvent, ABTS-RSC: azino-bis-tetrazolium sulfate radical scavenging capacity, DE: dry extract, DM: dry matter, DPPH-RSC: 2,2-diphenyl-1-picrylhydrazyl radical scavenging capacity, DW: dry weight, FRAC: ferric-reducing antioxidant capacity, FSE: ferrous sulfate equivalent, FW: fresh weight, GAE: gallic acid equivalent, IC50: inhibitory concentration required for 50% inhibition, QE: quercetin equivalent, SC50: scavenging concentration for required for 50% scavenging, TEAC: trolox equivalent antioxidant capacity, TE: trolox equivalent, BH: butylated hydroxyanisole, FW: fruit weight, CE: catechin equivalents, ILP: inhibition of lipid peroxidation, LRA: lipid reducing ability.
On the basis of their phytochemical composition and antioxidant profile,
Plant part | Extracting solvent | Activity | References | |
---|---|---|---|---|
Whole | Ethanol | Anticancer activity by reduction of lipid peroxidation, γ-glutamyl transpeptidase and xanthine oxidase and by generation of hydrogen peroxide | [77] | |
Bark | Methanol | Hepatoprotective activity by reducing the activities of ALT, AST and ALP | [4] | |
Whole | Ethanol | Hypoglycemic activity by decreasing blood glucose level | [4] | |
Fruit | Water | Antitumor activity due to blockage of calcium uptake in pituitary cells | [13] | |
Whole | Water | Antioxidant and antidiabetic activity with lowering the superoxide dismutase exaggerated activity | [78] | |
Whole | Methanol | Anthelmintic activity with 100% effectiveness | [79] | |
Whole | Water | Antimicrobial activity with inhibition zone against | [4] | |
Bark | Methanol | Anti-parasitic effect with 100% lethality for | [79] | |
Bark | Water | Antioxidant and hypolipidemic activity by reduction in lipid peroxidation, cholesterol level and triacylglycerol | [80] | |
Fruit | Water | Anticancer and antibacterial activity but no antifungal activity | [81] | |
Roots | Various polarity solvents | Anti-inflammatory and analgesic activity | [82] | |
Whole | Methanol | Anti-inflammatory and analgesic activity due to inhibition of malanodialdehyde formation | [82] | |
Roots | Methanol | Antiulcerogenic activity with cytoprotective nature of constituents | [83] | |
Leafs | Methanol | Mucoprotective activity and gastric antisecretory | [23] | |
Leaves | Methanol | Hepatoprotective activity with decrease in lipid peroxides with cytochrome p450 complex inhibition | ||
Fruit | Ethanol | Gastroprotective effect | [84] | |
Fruit | Phenol | Anti ulcerogenic, antimutagenic and anti cancerogenic compounds | [84] | |
Whole | Water | Antiviral activity due to inhibition of reverse transcriptase activity of HIV-1 | [85] | |
Leaves | Water | Antimalarial action against | [86] | |
Leaves | Water, ethanol | Significant antibacterial activity | [35] | |
Leaves | Water | Activate against standard human pathogenic yeasts strains | [87] | |
Leaves | Diethyl ether | Anti-pneumonia activity | [88] | |
Leaves | Water | Significant antibacterial activity but no antifungal activity | [35] | |
Leaves and fruits | Alcohol | Antifungal and antibacterial activities | [89] | |
Stem bark | Water | Antimicrobial activities against | [65] | |
Leaf | Water | Significant antimicrobial effect | [90] | |
Leaves | Acetone | Act as potent inhibitor of α-amylase | [68] |
Biological activities of extracts from various parts of
Almost all of the
All species of
The authors have no conflict of interest regarding this chapter.
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Saleh and Amal I. Hassan",coverURL:"https://cdn.intechopen.com/books/images_new/11120.jpg",editedByType:"Edited by",publishedDate:"June 23rd 2022",editors:[{id:"144691",title:"Prof.",name:"Hosam M.",middleName:null,surname:"Saleh",slug:"hosam-m.-saleh",fullName:"Hosam M. Saleh"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10696",title:"Applications of Calorimetry",subtitle:null,isOpenForSubmission:!1,hash:"8c87f7e2199db33b5dd7181f56973a97",slug:"applications-of-calorimetry",bookSignature:"José Luis Rivera Armenta and Cynthia Graciela Flores Hernández",coverURL:"https://cdn.intechopen.com/books/images_new/10696.jpg",editedByType:"Edited by",publishedDate:"June 23rd 2022",editors:[{id:"107855",title:"Dr.",name:"Jose Luis",middleName:null,surname:"Rivera Armenta",slug:"jose-luis-rivera-armenta",fullName:"Jose Luis Rivera Armenta"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"1405",title:"Waste Management",slug:"engineering-environmental-engineering-waste-management",parent:{id:"118",title:"Environmental Engineering",slug:"engineering-environmental-engineering"},numberOfBooks:3,numberOfSeries:0,numberOfAuthorsAndEditors:61,numberOfWosCitations:15,numberOfCrossrefCitations:16,numberOfDimensionsCitations:37,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"1405",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"10491",title:"Anaerobic Digestion in Built Environments",subtitle:null,isOpenForSubmission:!1,hash:"082ec753a05d6c7ed8cc5559e7dac432",slug:"anaerobic-digestion-in-built-environments",bookSignature:"Anna Sikora",coverURL:"https://cdn.intechopen.com/books/images_new/10491.jpg",editedByType:"Edited by",editors:[{id:"146985",title:"Dr.",name:"Anna",middleName:null,surname:"Sikora",slug:"anna-sikora",fullName:"Anna Sikora"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8453",title:"Lean Manufacturing and Six Sigma",subtitle:"Behind the Mask",isOpenForSubmission:!1,hash:"9342a056651f34acc565b467a71e1e27",slug:"lean-manufacturing-and-six-sigma-behind-the-mask",bookSignature:"Fausto Pedro García Márquez, Isaac Segovia Ramirez, Tamás Bányai and Péter Tamás",coverURL:"https://cdn.intechopen.com/books/images_new/8453.jpg",editedByType:"Edited by",editors:[{id:"22844",title:"Prof.",name:"Fausto Pedro",middleName:null,surname:"García Márquez",slug:"fausto-pedro-garcia-marquez",fullName:"Fausto Pedro García Márquez"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5718",title:"Coal Fly Ash Beneficiation",subtitle:"Treatment of Acid Mine Drainage with Coal Fly Ash",isOpenForSubmission:!1,hash:"7862b773bc74f187c6a6b5abee7f278d",slug:"coal-fly-ash-beneficiation-treatment-of-acid-mine-drainage-with-coal-fly-ash",bookSignature:"Segun A. Akinyemi and Mugera W. Gitari",coverURL:"https://cdn.intechopen.com/books/images_new/5718.jpg",editedByType:"Edited by",editors:[{id:"147114",title:"Dr.",name:"Segun",middleName:null,surname:"Akinyemi",slug:"segun-akinyemi",fullName:"Segun Akinyemi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:3,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"55912",doi:"10.5772/intechopen.69469",title:"Challenges in Recovery of Valuable and Hazardous Elements from Bulk Fly Ash and Options for Increasing Fly Ash Utilization",slug:"challenges-in-recovery-of-valuable-and-hazardous-elements-from-bulk-fly-ash-and-options-for-increasi",totalDownloads:1444,totalCrossrefCites:3,totalDimensionsCites:5,abstract:"Beneficiation of fly ash should require for ensuring the removal of reactive elements to reduce the effect of hazardous impact on our atmosphere and can fill the demand for resources such as metals and rare earths. In this chapter, we concentrate to describe the responsible factors involve in fly ash beneficiation that has a great contribution to our environment. The purpose of the current study is to know the recovery of different minerals; maximum removal of the contaminant, reactivity and neutralization capacity of acid mine drainage (AMD) with fly ash and development of the cost‐effective method of disposal of fly ash are achieved. Different beneficiation techniques of fly ash and utilization of fly ash are explained.",book:{id:"5718",slug:"coal-fly-ash-beneficiation-treatment-of-acid-mine-drainage-with-coal-fly-ash",title:"Coal Fly Ash Beneficiation",fullTitle:"Coal Fly Ash Beneficiation - Treatment of Acid Mine Drainage with Coal Fly Ash"},signatures:"Ajit Behera and Soumya Sanjeeb Mohapatra",authors:[{id:"199852",title:"Dr.",name:"Ajit",middleName:null,surname:"Behera",slug:"ajit-behera",fullName:"Ajit Behera"},{id:"200867",title:"Prof.",name:"Soumya",middleName:null,surname:"Mohapatra",slug:"soumya-mohapatra",fullName:"Soumya Mohapatra"}]},{id:"55928",doi:"10.5772/intechopen.69527",title:"Phytoreclamation of Abandoned Acid Mine Drainage Site After Treatment with Fly Ash",slug:"phytoreclamation-of-abandoned-acid-mine-drainage-site-after-treatment-with-fly-ash",totalDownloads:1332,totalCrossrefCites:3,totalDimensionsCites:5,abstract:"Acid mine drainage and coal fly ash both are the sibling products from man’s increasing demand for power. Mining of coal from coal mines generates acid mine drainage (AMD), and burning of coal for thermal power generation produces fly ash (FA). Although both are hazardous to the ecosystem and human health, reunion of them into one would reduce their toxic effect on nature. Mining causes exposure of hidden rock materials containing an abundance of sulphide to the atmosphere. Oxidation of the metal sulphides (pyrite, as iron sulphide) within the surrounding rock and overburden generates acidity. Subsurface mining that pumps out water to prevent flooding releases acidic water to nearby areas, known as acid mine drainage. Tailings piles, mine waste rock dumps, and coal spoils contribute in AMD. Improper disposal of the fly ash contaminates the soil, water and air by leaching of the pollutants or air borne particulate matters. However filler properties and presence of macronutrients makes fly ash an excellent filler material for mine sites, and its soil-like properties help in plant growth if provided with organic carbon and nitrogen. This chapter proposes development of a green cover into AMD site after treatment of the AMD site with FA.",book:{id:"5718",slug:"coal-fly-ash-beneficiation-treatment-of-acid-mine-drainage-with-coal-fly-ash",title:"Coal Fly Ash Beneficiation",fullTitle:"Coal Fly Ash Beneficiation - Treatment of Acid Mine Drainage with Coal Fly Ash"},signatures:"Madhumita Roy, Roopali Roychowdhury, Pritam Mukherjee, Atanu\nRoy, Bulti Nayak and Satarupa Roy",authors:[{id:"195433",title:"Dr.",name:"Madhumita",middleName:null,surname:"Roy",slug:"madhumita-roy",fullName:"Madhumita Roy"},{id:"196021",title:"MSc.",name:"Roopali",middleName:null,surname:"Roychowdhury",slug:"roopali-roychowdhury",fullName:"Roopali Roychowdhury"},{id:"204902",title:"Mr.",name:"Pritam",middleName:null,surname:"Mukherjee",slug:"pritam-mukherjee",fullName:"Pritam Mukherjee"}]},{id:"56022",doi:"10.5772/intechopen.69741",title:"Treatment of Acid Mine Drainage with Coal Fly Ash: Exploring the Solution Chemistry and Product Water Quality",slug:"treatment-of-acid-mine-drainage-with-coal-fly-ash-exploring-the-solution-chemistry-and-product-water",totalDownloads:1345,totalCrossrefCites:1,totalDimensionsCites:5,abstract:"A treatment process for Acid mine drainage (AMD) using coal fly ash (CFA) was developed. AMD was treated with CFA as the alkaline agent at different CFA: AMD ratios and pH, electrical conductivity (EC) evolution monitored over time. In a separate experiment two AMD sources with differing chemistry were treated with the same CFA to evaluate the impact of AMD chemistry on the treatment process and product water quality. Various CFA: AMD ratios were stirred in a beaker for a pre-set time and the process water chemistry determined. pH was observed to increase in a stepwise manner with buffer zones observed at 4-4.5, 4.5-7 and 6-8. AMD with low concentration of Al3+, Fe2+, Fe3+ and Mn2+ didn’t exhibit these buffer zones. Two competing processes were observed to control the evolving pH of process water: dissolution of basic oxides (CaO, MgO) from CFA led to pH increase and hydrolysis of AMD species such as Al3+, Fe2+, Fe3+ and Mn2+ led to pH decrease. These processes initiated mechanisms such as precipitation, adsorption and ion exchange that led to decrease in inorganic contaminants as the treatment progressed. Inorganic contaminants removal was directly related to amount of CFA in reaction media. Precipitation of insoluble hydroxides and Al, Fe-oxyhydroxysulphates contributed to removal of major and minor chemical species. Precipitation of gypsum contributed to removal of sulphate. Na, K and Mg remained largely in solution after initial decrease. Significant leaching of B, Sr, Ba, and Mo from CFA was observed and was directly linked to amount of CFA in the reaction media. This will be a shortcoming of the treatment process since other processes may be required to polish up the product water. The treatment of AMD with CFA was observed to depend on CFA, AMD chemistry, treatment time and might therefore be site specific.",book:{id:"5718",slug:"coal-fly-ash-beneficiation-treatment-of-acid-mine-drainage-with-coal-fly-ash",title:"Coal Fly Ash Beneficiation",fullTitle:"Coal Fly Ash Beneficiation - Treatment of Acid Mine Drainage with Coal Fly Ash"},signatures:"Wilson Mugera Gitari, Leslie F. Petrik and Segun A. Akinyemi",authors:[{id:"147114",title:"Dr.",name:"Segun",middleName:null,surname:"Akinyemi",slug:"segun-akinyemi",fullName:"Segun Akinyemi"},{id:"172220",title:"Prof.",name:"Leslie",middleName:null,surname:"Petrik",slug:"leslie-petrik",fullName:"Leslie Petrik"},{id:"185380",title:"Prof.",name:"Mugera",middleName:null,surname:"Gitari",slug:"mugera-gitari",fullName:"Mugera Gitari"}]},{id:"67554",doi:"10.5772/intechopen.85815",title:"Lean Six Sigma and Performance Metrics",slug:"lean-six-sigma-and-performance-metrics",totalDownloads:1205,totalCrossrefCites:3,totalDimensionsCites:4,abstract:"The intensification of competitiveness and the fluctuation of industrial market were pushing the companies to ameliorate their product’s quality and services in order to maintain their place in the market. They have a tendency to integrate various methods such as total quality management (TQM), Six Sigma (6-σ), and Lean Six Sigma (LSS). The Lean Six Sigma method became the focus of academic researches. Hence, huge empirical studies have been raised in this field which enhances the visibility of this quality method. Some focused to identify its particular aspects, tools, and concepts. Others reveal its positive repercussions on reducing the defects, waste of time, and reworks. Others attempt to develop specific model related to Lean Six Sigma to facilitate its implementation. Regarding the literature gap reviewing and highlighting the specific features of Lean Six Sigma, the requirement of recognizing its particular aspects is needed. The focus of this chapter firstly is to identify the performance metrics then to underline the Lean Six Sigma metrics in order to seek its link with business performance. Also a guideline for the best integration of Lean Six Sigma is also offered.",book:{id:"8453",slug:"lean-manufacturing-and-six-sigma-behind-the-mask",title:"Lean Manufacturing and Six Sigma",fullTitle:"Lean Manufacturing and Six Sigma - Behind the Mask"},signatures:"Kaouthar Lamine",authors:[{id:"292334",title:"Dr.",name:"Kaouthar",middleName:null,surname:"Lamine",slug:"kaouthar-lamine",fullName:"Kaouthar Lamine"}]},{id:"76942",doi:"10.5772/intechopen.98314",title:"Techno Economic Studies on the Effective Utilization of Non-Uniform Biowaste Generation for Biogas Production",slug:"techno-economic-studies-on-the-effective-utilization-of-non-uniform-biowaste-generation-for-biogas-p",totalDownloads:305,totalCrossrefCites:1,totalDimensionsCites:4,abstract:"Environmental effects from traditional energy sources and government regulations, necessitate the use of alternative energies like biogas for many uses including drying and refrigeration. Biowaste produced in educational institutions will not be uniform over the year. The non-uniform supply of biowastes, the absence of studies on bio digestion of likelihood biomass, the unreliability of energy from such conversion and the profitability of its usage in most applications are some of the factors to be considered while implementing this technology. In this regard, theoretical and experimental evaluations were carried out to accurately forecast biogas generation capabilities in educational campuses for obtaining biofuels with quantity and efficiency. It is observed that biogas generation with 52 to 58% methane content can be possible during an academic year. The quality of biogas shows that it is appropriate for almost any application. A broader analysis on different types of biogas digesters was conducted for their suitability in academic institutions. The economic benefits are analyzed for incorporating three biogas digesters namely KVIC, Fiber Reinforced Plastic (FRP) type and JANATA. There are some encouraging results to confirm the economic feasibility of biogas plants including positive net present value. Biogas generation with digesters of capacities varying between 25 and 450 cubic meter shows payback periods varies from 3.18 to 7.59 years, which confirms that it is profitable to use digesters in this range of capacities.",book:{id:"10491",slug:"anaerobic-digestion-in-built-environments",title:"Anaerobic Digestion in Built Environments",fullTitle:"Anaerobic Digestion in Built Environments"},signatures:"Godwin Glivin, Mariappan Vairavan, Premalatha Manickam and Joseph Sekhar Santhappan",authors:[{id:"259377",title:"Dr.",name:"Premalatha",middleName:null,surname:"Manickam",slug:"premalatha-manickam",fullName:"Premalatha Manickam"},{id:"269103",title:"Dr.",name:"Mariappan",middleName:null,surname:"Vairavan",slug:"mariappan-vairavan",fullName:"Mariappan Vairavan"},{id:"339136",title:"Dr.",name:"Godwin",middleName:null,surname:"Glivin",slug:"godwin-glivin",fullName:"Godwin Glivin"},{id:"415183",title:"Dr.",name:"Joseph",middleName:null,surname:"Sekhar Santhappan",slug:"joseph-sekhar-santhappan",fullName:"Joseph Sekhar Santhappan"}]}],mostDownloadedChaptersLast30Days:[{id:"70163",title:"Lean Six Sigma in Manufacturing: A Comprehensive Review",slug:"lean-six-sigma-in-manufacturing-a-comprehensive-review",totalDownloads:2273,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Lean Six Sigma is a systematic approach to reduce or eliminate activities that do not add value to the process. It highlights removing wasteful steps in a process and taking the only value added steps. The lean six sigma method ensures high quality and customer satisfaction in the manufacturing. The main purpose of this chapter is to explore the Lean Six Sigma (LSS) in the manufacturing sector. This chapter focuses on the different critical aspects of LSS. The core sections of this chapter are Introduction; Key lean six sigma principles; Tools and techniques; Lean six sigma methodologies; Critical success factors; Lean six sigma framework; Lean six sigma strategy; Implementation of Lean Six Sigma in SMEs; significant benefits; Significant barriers to implement lean; Assessment of Lean Six Sigma Readiness; Emerging trends in Lean Six Sigma; and Successful examples/stories in the manufacturing industry. The final section of the chapter contains the conclusions and suggestions. It is important for practitioners to be aware of Lean six sigma benefits, impeding factors, Tools and techniques, methodologies etc. before starting the Lean six sigma implementation process. Hence, this chapter could provide valuable insights to practitioners. It also gives an opportunity to Lean six sigma researchers to understand some common themes within this chapter in depth.",book:{id:"8453",slug:"lean-manufacturing-and-six-sigma-behind-the-mask",title:"Lean Manufacturing and Six Sigma",fullTitle:"Lean Manufacturing and Six Sigma - Behind the Mask"},signatures:"Hari Lal Bhaskar",authors:[{id:"295700",title:"Dr.",name:"Hari Lal",middleName:null,surname:"Bhaskar",slug:"hari-lal-bhaskar",fullName:"Hari Lal Bhaskar"}]},{id:"57818",title:"Chemical Stabilization of Coal Fly Ash for Simultaneous Suppressing of As, B, and Se Leaching",slug:"chemical-stabilization-of-coal-fly-ash-for-simultaneous-suppressing-of-as-b-and-se-leaching",totalDownloads:1663,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The discard of coal fly ash produced from the combustion of pulverized coal in a coal-fired boiler of thermal power plants has led to environmental concerns. Due to the interaction of fly ash particles with weathering and hydrological processes, the rainfall leaches out toxic elements in coal fly ash from the ash heaps. This situation has been pointed out as a potential contamination of soil, surface, and groundwater. In this chapter, the available fly ash treatment techniques to minimize future release of toxic trace elements (arsenic, boron, and selenium) have been documented, and the recent investigations dealing with leaching suppression effect of arsenic, boron, and selenium from coal fly ash have been reviewed. The leaching characteristics of arsenic, boron, and selenium are discussed, and a simple and low-cost leaching control method is presented in the context of treating the fly ash through chemical stabilization technique using additives containing high levels of calcium. Experimental results described in this chapter show the chemical stabilization technique utilizing Ca-containing additives is an effective technique for simultaneous suppressing of As, B, and Se leaching from coal fly ash.",book:{id:"5718",slug:"coal-fly-ash-beneficiation-treatment-of-acid-mine-drainage-with-coal-fly-ash",title:"Coal Fly Ash Beneficiation",fullTitle:"Coal Fly Ash Beneficiation - Treatment of Acid Mine Drainage with Coal Fly Ash"},signatures:"Sri Hartuti, Shinji Kambara, Akihiro Takeyama, Farrah Fadhillah\nHanum and Erda Rahmilaila Desfitri",authors:[{id:"219583",title:"Ph.D.",name:"Sri",middleName:null,surname:"Hartuti",slug:"sri-hartuti",fullName:"Sri Hartuti"},{id:"219715",title:"Prof.",name:"Shinji",middleName:null,surname:"Kambara",slug:"shinji-kambara",fullName:"Shinji Kambara"},{id:"221447",title:"Dr.",name:"Akihiro",middleName:null,surname:"Takeyama",slug:"akihiro-takeyama",fullName:"Akihiro Takeyama"},{id:"221448",title:"MSc.",name:"Farrah",middleName:null,surname:"Fadhillah Hanum",slug:"farrah-fadhillah-hanum",fullName:"Farrah Fadhillah Hanum"},{id:"221449",title:"BSc.",name:"Erda",middleName:null,surname:"Rahmilaila Desfitri",slug:"erda-rahmilaila-desfitri",fullName:"Erda Rahmilaila Desfitri"}]},{id:"66217",title:"Value Stream Mapping: A Method That Makes the Waste in the Process Visible",slug:"value-stream-mapping-a-method-that-makes-the-waste-in-the-process-visible",totalDownloads:1601,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Defining customer and value in lean thinking is crucial. All wastes that do not add value to the customer in business processes should be eliminated. In the real world and related literature, there are various methods used to eliminate waste and improve processes. One of the methods frequently used is the value stream mapping (VSM). VSM is preferred since it enables to take the picture of a process. Moreover, VSM is the identification of all activities that create and/or do not create value in the processes, from the supplier of the product or service to the customer. This chapter deals with lean philosophy, lean techniques and specifically the VSM method. In addition, some examples of VSM applications in the service and production sectors are discussed and the findings obtained from these applications are evaluated. Finally, the chapter concludes with some managerial implications as well as potential future research areas.",book:{id:"8453",slug:"lean-manufacturing-and-six-sigma-behind-the-mask",title:"Lean Manufacturing and Six Sigma",fullTitle:"Lean Manufacturing and Six Sigma - Behind the Mask"},signatures:"Nuri Ozgur Dogan and Burcu Simsek Yagli",authors:[{id:"280961",title:"Ph.D. Student",name:"Burcu",middleName:null,surname:"Simsek Yagli",slug:"burcu-simsek-yagli",fullName:"Burcu Simsek Yagli"},{id:"280963",title:"Dr.",name:"Nuri Ozgur",middleName:null,surname:"Dogan",slug:"nuri-ozgur-dogan",fullName:"Nuri Ozgur Dogan"}]},{id:"68289",title:"The Integration of Six Sigma and Lean Manufacturing",slug:"the-integration-of-six-sigma-and-lean-manufacturing",totalDownloads:1171,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The Lean Manufacturing and Six Sigma methodologies are increasingly being executed together and what we have today is the united work of both, and companies have come to understand that their integration makes it possible to take advantage of the strengths of both strategies, becoming a comprehensive and effective, suitable for solving various types of problems related to the improvement of processes and products. Routine management, process standardization and the study of times and movements to eliminate waste are key features of Lean Manufacturing, while finding the root cause for problem solving requires further deepening and analysis in Six Sigma. The Lean and Six Sigma can be viewed as useful tools for the operation of the systems of improvement, innovation and routine management that integrate the system of business management. The companies have implemented Lean Manufacturing with the aim of improving the elimination of waste in the processes. Companies using Six Sigma have found that by selecting projects and assigning them to teams, after a monitoring, the results would appear. 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