Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals. The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy. Features a pre-feasibility assessment of a solar system by data visualization Details the technical parameters of a solar system by probability and sampling techniques Analyzes the relationship between different parameters of a solar system
Tidal Energy Systems: Design, Optimization and Control provides a comprehensive overview of concepts, technologies, management and the control of tidal energy systems and tidal power plants. It presents the fundamentals of tidal energy, including the structure of tidal currents and turbulence. Technology, principles, components, operation, and a performance assessment of each component are also covered. Other sections consider pre-feasibility analysis methods, plant operation, maintenance and power generation, reliability assessment in terms of failure distribution, constant failure rate and the time dependent failure model. Finally, the most recent research advances and future trends are reviewed. In addition, applicable real-life examples and a case study of India’s tidal energy scenario are included. The book provides ocean energy researchers, practitioners and graduate students with all the information needed to design, deploy, manage and operate tidal energy systems. Senior undergraduate students will also find this to be a useful resource on the fundamentals of tidal energy systems and their components. Presents the fundamentals of tidal energy, including system components, pre-feasibility analysis, and plant management, operations and control Explores concepts of sustainability and a reliability analysis of tidal energy systems, as well as their economic aspects and future trends Covers the assessment of tidal energy systems by optimization technique and game theory
Design and Optimization of Biogas Energy Systems presents an overview on planning, implementing, assessing and optimizing biogas systems, from fuel conversion to power generation. The book introduces the fundamental elements of bioenergy systems, highlighting the specificities of biogas systems. It discusses the current state of their adoption at a global level and the challenges faced by designers and operators. Methods for sizing, simulating and modeling are discussed, including prefeasibility analysis, available production processes, integration into hybrid energy systems, and the application of Big Data analysis and game theory concepts. All chapters include real-life examples and exercises to illustrate the topics being covered. The book goes beyond theory to offer practical knowledge of methods to reach solutions to key challenges in the field. This is a valuable resource for researchers, practitioners and graduate students interested in developing smart, reliable and sustainable biogas technologies. Provides an applied approach to biogas systems, from technology fundamentals, to economic and environmental assessment Explores control methods and reliability prediction of each system component, including modeling and simulation with HOMER and MATLAB Discusses the use of Big Data analysis, numerical methods, and Game Theory for plant assessment
Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems. The book explores techniques for assessment of tidal, wave and offshore wind energy systems. It presents the use of data mining software to simulate systems and Hadoop technology to evaluate control systems. The use of Map Reduce algorithms in systems optimization is examined, along with the application of NoSQL in systems management. Actual data collection through web-based applications and social networks is discussed, along with practical applications of recommendations. Introduces computational methods for processing and analyzing data to predict ocean energy system production, assess their efficiency, and ensure their reliable connection to power grids Covers data processing solutions like Hadoop, NoSQL, Map Reduce and Lambda, discussing their applications in ocean energy for system design and optimization Provides practical exercises that demonstrate the concepts explored in each chapter
Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems. The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. Demystifies the theory of data analytics using a step-by-step approach Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications
Tidal Energy Systems: Design, Optimization and Control provides a comprehensive overview of concepts, technologies, management and the control of tidal energy systems and tidal power plants. It presents the fundamentals of tidal energy, including the structure of tidal currents and turbulence. Technology, principles, components, operation, and a performance assessment of each component are also covered. Other sections consider pre-feasibility analysis methods, plant operation, maintenance and power generation, reliability assessment in terms of failure distribution, constant failure rate and the time dependent failure model. Finally, the most recent research advances and future trends are reviewed. In addition, applicable real-life examples and a case study of India’s tidal energy scenario are included. The book provides ocean energy researchers, practitioners and graduate students with all the information needed to design, deploy, manage and operate tidal energy systems. Senior undergraduate students will also find this to be a useful resource on the fundamentals of tidal energy systems and their components. Presents the fundamentals of tidal energy, including system components, pre-feasibility analysis, and plant management, operations and control Explores concepts of sustainability and a reliability analysis of tidal energy systems, as well as their economic aspects and future trends Covers the assessment of tidal energy systems by optimization technique and game theory
Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals. The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy. Features a pre-feasibility assessment of a solar system by data visualization Details the technical parameters of a solar system by probability and sampling techniques Analyzes the relationship between different parameters of a solar system
Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems. The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. Demystifies the theory of data analytics using a step-by-step approach Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications
Design and Optimization of Biogas Energy Systems presents an overview on planning, implementing, assessing and optimizing biogas systems, from fuel conversion to power generation. The book introduces the fundamental elements of bioenergy systems, highlighting the specificities of biogas systems. It discusses the current state of their adoption at a global level and the challenges faced by designers and operators. Methods for sizing, simulating and modeling are discussed, including prefeasibility analysis, available production processes, integration into hybrid energy systems, and the application of Big Data analysis and game theory concepts. All chapters include real-life examples and exercises to illustrate the topics being covered. The book goes beyond theory to offer practical knowledge of methods to reach solutions to key challenges in the field. This is a valuable resource for researchers, practitioners and graduate students interested in developing smart, reliable and sustainable biogas technologies. Provides an applied approach to biogas systems, from technology fundamentals, to economic and environmental assessment Explores control methods and reliability prediction of each system component, including modeling and simulation with HOMER and MATLAB Discusses the use of Big Data analysis, numerical methods, and Game Theory for plant assessment
Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems. The book explores techniques for assessment of tidal, wave and offshore wind energy systems. It presents the use of data mining software to simulate systems and Hadoop technology to evaluate control systems. The use of Map Reduce algorithms in systems optimization is examined, along with the application of NoSQL in systems management. Actual data collection through web-based applications and social networks is discussed, along with practical applications of recommendations. Introduces computational methods for processing and analyzing data to predict ocean energy system production, assess their efficiency, and ensure their reliable connection to power grids Covers data processing solutions like Hadoop, NoSQL, Map Reduce and Lambda, discussing their applications in ocean energy for system design and optimization Provides practical exercises that demonstrate the concepts explored in each chapter
Withania is a genus of the nightshade family of flowering plants distributed in the subtropical regions from the Mediterranean to South East Asia. Only two species, W. somnifera and W. coagulans, are found in India. The most common species is W. somnifera (WS), which occurs naturally in the subtropical regions from the Mediterranean through Africa to the Middle East, the Indian Continent, Sri Lanka, South East Asia, subtropical America and Australia. It is a perennial shrub that grows to 75 cm (.75 m) tall with tomentose branches, oval yellowish green leaves, orange red berries and a papery calyx, and it survives harsher climatic conditions. In Ayurveda it is believed the plants which survive harsh conditions have strong healing and tonification properties. The main bioactive phytoconstituents of WS are withanolides (steroidal lactones), alkaloids, flavonoids, sterols, phenolics and others. Among the various withanolides, withanolide A, withaferin A, withanone and withanolide D are the most abundant, having various activities. WS is a wonder herb with a broad spectrum of pharmacological properties, such as antioxidant, antidepressant, aphrodisiac, antiulcerogenic, antivenom, anti-inflammatory, antiarthritic, anticancer, antiparasitic, antimicrobial, anticancerous, antidiabetic, antitumor, hemopoetic neuroregenerative, immunomodulatory, cardioprotective, radio-sensitizing, rejuvenating, antistress, sedative, hypoglycemic, thyroprotective, adaptogenic, antispasmodic, immunomodulatory, immunostimulant and antiaging properties. The simultaneous quantitative analysis of six major bioactive withanolides in five varieties of WS and in different plant parts (root, stem and leaf) of WS was accomplished. This method is also applicable to control the quality of commercially formulated products which contain WS bioactive compounds. Results indicated the WS variety NMITLI-135 showed the maximum abundance of withanolides at pH 8.5, EC-0.5 dS m−1, ESP-13 in sodic soil. Our results showed this readily available, rapid and reliable method is suitable for the routine analysis and effective quality control of raw materials and finished products. FEATURES Presents a collection of Ayurvedic features and scientific analytical and pharmacological evidence of important medicinal plants of Withania somnifera Useful for natural product researchers, faculty, students and herbal product manufacturers Uses advanced hyphenated techniques for assessing phytoconstituents
Khanna Sutra: Food Lessons in Love presents a rich collection of recipes guaranteed to make the experience of cooking for your loved ones, an enjoyable one. In each recipe, Chef Vikas Khanna invokes passion through the innovative use of different aphrodisiacs. Classified into sections like Aphrodisiacs, Soups, Salads, Fish & Shellfish, Meat & Poultry, Vegetables, Sides, Desserts and Drinks, each recipe of Khanna Sutra has an international edge. ... --From publisher's website.
In Medicine : Light In Twilight the narrator describes various shades of medical life and confirms the utility of medicines in everyday life. Various pathies have their utility in modern society though Allopathic medicines enjoy the top position. Vaidya ji earns a lot of money after prescribing Allopathic medicines. Dr. Kamya and Dr. Preetilata make money even during the Corona pandemic. The miseries of the patients of Afghanistan need everyone's pity and sympathy. Girija, like Santiago, does not lose her courage and patience in all the odd situations of life and continues to teach students with full vigour. Like saints, Vaidya ji is admired for his philanthropic zeal. Efforts of Indian Government are admirable as nine medical colleges have been planned in U.P. alone to take care of sick people. The authorities have got to be admired for facing Corona with vigour, zeal, and full enthusiasm. The novel answers the questionHow to live?
Cassia is an indigenous plant in Africa, Latin America, Northern Australia and Southeast Asia. Several Cassia species are of high commercial and medicinal significance since they are used as spices and in traditional medicines. Currently plants from genus Cassia is in great demand due to their immense medicinal properties. Cassia species have various pharmacological activities such as antibacterial, analgesic, antiinflammatory, antiarthritic, hepatoprotective, antitumor, antifertility, antifungal, antioxidant, antileishmaniatic, antimicrobial, CNS and hypoglycaemic activitiy. Different class of compounds reported from Cassia species are anthraquinones, phenolics, flavonoids, chromenes, terpenes, proanthocyanidins, coumarins, chromones and lignans. The taxonomy and nomenclature of Cassia species are quite complex. It is very difficult to differentiate them due to their overlapping morphological characters and close similarities. This usually leads to misidentification and misinterpretation of the components. Features: Presents collection of Ayurvedic features and scientific evidence of most important medicinal plants of Cassia species Chemical signatures for identification of Cassia species Easy to use analytical procedure for quality control of Cassia species and its products.
Since the publication of the successful first edition of the book in 2010, the field has matured and a large number of advancements have been made to the science of polymer nanotube nanocomposites (PNT) in terms of synthesis, filler surface modification, as well as properties. Moreover, a number of commercial applications have been realized. The aim of this second volume of the book is, thus, to update the information presented in the first volume as well as to incorporate the recent research and industrial developments. This edited volume brings together contributions from a variety of senior scientists in the field of polymer nanotube composites technology to shed light on the recent advances in these commercially important areas of polymer technology. The book provides the following features: Reviews the various synthesis techniques, properties and applications of the polymer nanocomposite systems. Describes the functionalization strategies for single walled nanotubes in order to achieve their nanoscale dispersion in epoxy matrices. Provides insights into the multiscale modeling of the properties of PNT. Provides perspectives on the electron microscopy characterization of PNT. Presents an overview of the different methodologies to achieve micro-patterning of PNT. Describes the recent progress on hybridization modifications of CNTs with carbon nanomaterials and their further applications in polymer nanocomposites. Provides details on the foams generates with PNT. Provides information on synthesis and properties of polycarbonate nanocomposite. Describes the advanced microscopy techniques for understanding of the polymer/nanotube composite interfaces and properties.
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