Applied Mathematical Modeling And Analysis In Renewable Energy

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Applied Mathematical Modeling and Analysis in Renewable Energy

Author : Manoj Sahni,Ritu Sahni
Publisher : CRC Press
Page : 212 pages
File Size : 55,7 Mb
Release : 2021-10-04
Category : Technology & Engineering
ISBN : 9781000455113

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Applied Mathematical Modeling and Analysis in Renewable Energy by Manoj Sahni,Ritu Sahni Pdf

This reference text introduces latest mathematical modeling techniques and analysis for renewable energy systems. It comprehensively covers important topics including study of combustion characteristics of laser ignited gasoline-air mixture, hierarchical demand response controller, mathematical modeling of an EOQ for a multi-item inventory system, and integration and modeling of small-scale pumped storage with micro optimization model (HOMER). Aimed at graduate students and academic researchers in the fields of electrical engineering, environmental engineering, mechanical engineering, and civil engineering, this text: Discusses applied mathematical modeling techniques in renewable energy. Covers effective storage and generation of power through renewable energy generation sources. Provides real life applications and problems based on renewable energy. Covers new ways of applying mathematical techniques for applications in diverse areas of science and engineering.

Applied Data Analysis and Modeling for Energy Engineers and Scientists

Author : T. Agami Reddy,Gregor P. Henze
Publisher : Springer Nature
Page : 622 pages
File Size : 49,9 Mb
Release : 2023-10-18
Category : Business & Economics
ISBN : 9783031348693

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Applied Data Analysis and Modeling for Energy Engineers and Scientists by T. Agami Reddy,Gregor P. Henze Pdf

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems. It provides a formal structure that offers a broad and integrative perspective to enhance knowledge, skills, and confidence to work in applied data analysis and modeling problems. This new edition also reflects recent trends and advances in statistical modeling as applied to energy and building processes and systems. It includes numerous examples from recently published technical papers to nurture and stimulate a more research-focused mindset. How the traditional stochastic data modeling approaches are complemented by data analytic algorithmic models such as machine learning and data mining are also discussed. The important societal issues related to the sustainability of energy systems are presented, and a formal structure is proposed meant to classify the various assessment methods found in the literature. Applied Data Analysis and Modeling for Energy Engineers and Scientists is designed for senior-level undergraduate and graduate instruction in energy engineering and mathematical modeling, for continuing education professional courses, and as a self-study reference book for working professionals. In order for readers to have exposure and proficiency with performing hands-on analysis, the open-source Python and R programming languages have been adopted in the form of Jupyter notebooks and R markdown files, and numerous data sets and sample computer code reflective of real-world problems are available online.

Applied Data Analysis and Modeling for Energy Engineers and Scientists

Author : T. Agami Reddy
Publisher : Springer Science & Business Media
Page : 430 pages
File Size : 53,9 Mb
Release : 2011-08-09
Category : Technology & Engineering
ISBN : 1441996133

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Applied Data Analysis and Modeling for Energy Engineers and Scientists by T. Agami Reddy Pdf

Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.

Mathematical Modeling, Simulation and Optimization for Power Engineering and Management

Author : Simone Göttlich,Michael Herty,Anja Milde
Publisher : Springer Nature
Page : 333 pages
File Size : 46,8 Mb
Release : 2021-02-02
Category : Technology & Engineering
ISBN : 9783030627324

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Mathematical Modeling, Simulation and Optimization for Power Engineering and Management by Simone Göttlich,Michael Herty,Anja Milde Pdf

This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly.

Mathematical Modelling of Energy Systems

Author : İbrahim Kavrakoğlu
Publisher : Springer
Page : 500 pages
File Size : 42,9 Mb
Release : 1981-03-31
Category : Mathematics
ISBN : UOM:39015047386613

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Mathematical Modelling of Energy Systems by İbrahim Kavrakoğlu Pdf

Proceedings of the NATO Advanced Study Institute, Istanbul, Turkey, June 1979

Mathematical Geoenergy

Author : Paul Pukite,Dennis Coyne,Daniel Challou
Publisher : John Wiley & Sons
Page : 373 pages
File Size : 42,9 Mb
Release : 2019-01-07
Category : Science
ISBN : 9781119434290

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Mathematical Geoenergy by Paul Pukite,Dennis Coyne,Daniel Challou Pdf

A rigorous mathematical problem-solving framework for analyzing the Earth’s energy resources GeoEnergy encompasses the range of energy technologies and sources that interact with the geological subsurface. Fossil fuel availability studies have historically lacked concise modeling, tending instead toward heuristics and overly-complex processes. Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal details leading-edge research based on a mathematically-oriented approach to geoenergy analysis. Volume highlights include: Applies a formal mathematical framework to oil discovery, depletion, and analysis Employs first-order applied physics modeling, decreasing computational resource requirements Illustrates model interpolation and extrapolation to fill out missing or indeterminate data Covers both stochastic and deterministic mathematical processes for historical analysis and prediction Emphasizes the importance of up-to-date data, accessed through the companion website Demonstrates the advantages of mathematical modeling over conventional heuristic and empirical approaches Accurately analyzes the past and predicts the future of geoenergy depletion and renewal using models derived from observed production data Intuitive mathematical models and readily available algorithms make Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal an insightful and invaluable resource for scientists and engineers using robust statistical and analytical tools applicable to oil discovery, reservoir sizing, dispersion, production models, reserve growth, and more.

Mathematical Modeling and Computation of Real-Time Problems

Author : Rakhee Kulshrestha,Chandra Shekhar,Madhu Jain,Srinivas R. Chakravarthy
Publisher : CRC Press
Page : 234 pages
File Size : 53,5 Mb
Release : 2021-01-03
Category : Mathematics
ISBN : 9781000288612

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Mathematical Modeling and Computation of Real-Time Problems by Rakhee Kulshrestha,Chandra Shekhar,Madhu Jain,Srinivas R. Chakravarthy Pdf

This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research. The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling.

Design, Analysis and Applications of Renewable Energy Systems

Author : Ahmad Taher Azar,Nashwa Ahmad Kamal
Publisher : Academic Press
Page : 762 pages
File Size : 54,8 Mb
Release : 2021-09-09
Category : Technology & Engineering
ISBN : 9780323859912

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Design, Analysis and Applications of Renewable Energy Systems by Ahmad Taher Azar,Nashwa Ahmad Kamal Pdf

Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with their fundamentals, modeling, analysis, design, realization and experimental results. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Presents some of the latest innovative approaches to renewable energy systems from the point-of-view of dynamic modeling, system analysis, optimization, control and circuit design Focuses on advances related to optimization techniques for renewable energy and forecasting using machine learning methods Includes new circuits and systems, helping researchers solve many nonlinear problems

Renewable Energy Systems

Author : Ahmad Taher Azar,Nashwa Ahmad Kamal
Publisher : Academic Press
Page : 734 pages
File Size : 48,7 Mb
Release : 2021-09-09
Category : Computers
ISBN : 9780128203989

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Renewable Energy Systems by Ahmad Taher Azar,Nashwa Ahmad Kamal Pdf

Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems, helping researchers solve many nonlinear problems

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

Author : Manoj Sahni,José M. Merigó,Ritu Sahni,Rajkumar Verma
Publisher : Springer Nature
Page : 496 pages
File Size : 41,8 Mb
Release : 2021-12-11
Category : Technology & Engineering
ISBN : 9789811659522

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Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy by Manoj Sahni,José M. Merigó,Ritu Sahni,Rajkumar Verma Pdf

This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.

Evolutionary Methods Based Modeling and Analysis of Solar Thermal Systems

Author : Biplab Das,Jagadish
Publisher : Springer Nature
Page : 143 pages
File Size : 47,5 Mb
Release : 2023-04-29
Category : Technology & Engineering
ISBN : 9783031276354

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Evolutionary Methods Based Modeling and Analysis of Solar Thermal Systems by Biplab Das,Jagadish Pdf

This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques. Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.

Advances of Artificial Intelligence in a Green Energy Environment

Author : Pandian Vasant,Joshua Thomas,Elias Munapo,Gerhard-Wilhelm Weber
Publisher : Academic Press
Page : 416 pages
File Size : 42,5 Mb
Release : 2022-05-20
Category : Science
ISBN : 9780323885744

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Advances of Artificial Intelligence in a Green Energy Environment by Pandian Vasant,Joshua Thomas,Elias Munapo,Gerhard-Wilhelm Weber Pdf

Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern. Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy. Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry. Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms Includes flowchart diagrams for exampling optimizing techniques

Analytics and Optimization for Renewable Energy Integration

Author : Ning Zhang,Chongqing Kang,Ershun Du,Yi Wang
Publisher : CRC Press
Page : 372 pages
File Size : 41,5 Mb
Release : 2019-02-21
Category : Technology & Engineering
ISBN : 9780429847707

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Analytics and Optimization for Renewable Energy Integration by Ning Zhang,Chongqing Kang,Ershun Du,Yi Wang Pdf

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm

Author : Bahman Zohuri,Farhang Mossavar Rahmani,Farahnaz Behgounia
Publisher : Academic Press
Page : 1000 pages
File Size : 53,9 Mb
Release : 2022-07-14
Category : Science
ISBN : 9780323951135

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Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm by Bahman Zohuri,Farhang Mossavar Rahmani,Farahnaz Behgounia Pdf

Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigms, Forecasting Energy for Tomorrow’s World with Mathematical Modeling and Python Programming Driven Artificial Intelligence delivers knowledge on key infrastructure topics in both AI technology and energy. Sections lay the groundwork for tomorrow’s computing functionality, starting with how to build a Business Resilience System (BRS), data warehousing, data management, and fuzzy logic. Subsequent chapters dive into the impact of energy on economic development and the environment and mathematical modeling, including energy forecasting and engineering statistics. Energy examples are included for application and learning opportunities. A final section deliver the most advanced content on artificial intelligence with the integration of machine learning and deep learning as a tool to forecast and make energy predictions. The reference covers many introductory programming tools, such as Python, Scikit, TensorFlow and Kera. Helps users gain fundamental knowledge in technology infrastructure, including AI, machine learning and fuzzy logic Compartmentalizes data knowledge into near-term and long-term forecasting models, with examples involving both renewable and non-renewable energy outcomes Advances climate resiliency and helps readers build a business resiliency system for assets

Optimization of Energy Supply Systems

Author : Janet Nagel
Publisher : Springer
Page : 301 pages
File Size : 50,8 Mb
Release : 2018-09-28
Category : Technology & Engineering
ISBN : 9783319963556

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Optimization of Energy Supply Systems by Janet Nagel Pdf

This book describes how a model for optimizing the energy supply system in Germany can be implemented. It focuses on the open energy modeling framework (Oemof) program for modeling energy supply systems. The individual elements of Oemof are described, as well as the model’s structure. The technical components of Oemof are subsequently demonstrated in mathematical calculations, along with sufficient Python code to begin basic modeling. The book will appeal to anyone with an interest in optimization models for energy supply systems, or in the mathematical description of the technical components of such systems in practical implementation, using a real example, Oemof. Thermodynamic descriptions of combustion are provided, so that readers can focus on modeling aspects. Researchers and practitioners will also find the book useful, as it expands on their knowledge of the technical components of energy supply systems, supported with detailed mathematical calculations.