Modeling and Optimization of Interdependent Energy Infrastructures
Modeling and Optimization of Interdependent Energy Infrastructures

Author: Wei Wei

Publisher:

Published: 2020

Total Pages: 0

ISBN-13: 9783030259594

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This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. This book provides theoretical foundation and technical applications for energy system integration. The interdisciplinary research presented in this book will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering. Provides theoretical foundation and technical applications for energy system integration; Contains new research problems and methodologies for researchers and practitioners in energy system integration; Presents in-depth discussion in a systematic fashion.

Modeling and Optimization of Interdependent Energy Infrastructures
Modeling and Optimization of Interdependent Energy Infrastructures

Author: Wei Wei

Publisher: Springer Nature

Published: 2019-10-22

Total Pages: 722

ISBN-13: 3030259587

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This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide students and researchers with helpful tutorials on advanced optimization methods: Basics of Linear and Conic Programs; Formulation Tricks in Integer Programming; Basics of Robust Optimization; Equilibrium Problems. This book provides theoretical foundation and technical applications for energy system integration, and the the interdisciplinary research presented will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering.

Risk Modeling, Analysis and Control of Multi-energy Systems
Risk Modeling, Analysis and Control of Multi-energy Systems

Author: Yonghua Song

Publisher: Springer Nature

Published: 2023-06-08

Total Pages: 262

ISBN-13: 9819910900

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This book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail. Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc.

Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty
Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty

Author: Qiuwei Wu

Publisher: Elsevier

Published: 2021-09-07

Total Pages: 372

ISBN-13: 0128241152

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Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty discusses core concepts, advanced modeling and key operation strategies for integrated multi-energy systems geared for use in optimal operation. The book particularly focuses on reviewing novel operating strategies supported by relevant code in MATLAB and GAMS. It covers foundational concepts, key challenges and opportunities in operational implementation, followed by discussions of conventional approaches to modeling electricity, heat and gas networks. This modeling is the base for more detailed operation strategies for optimal operation of integrated multi-energy systems under uncertainty covered in the latter part of the work. - Reviews advanced modeling approaches relevant to the integration of electricity, heat and gas systems in operation studies - Covers stochastic and robust optimal operation of integrated multi-energy systems - Evaluates MPC based, real-time dispatch of integrated multi-energy systems - Considers uncertainty modeling for stochastic and robust optimization - Assesses optimal operation and real-time dispatch for multi-energy building complexes

Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management

Author: Simone Göttlich

Publisher: Springer Nature

Published: 2021-02-02

Total Pages: 333

ISBN-13: 3030627322

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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.

Energy Systems Transition
Energy Systems Transition

Author: Vahid Vahidinasab

Publisher: Springer Nature

Published: 2023-02-17

Total Pages: 246

ISBN-13: 3031221869

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Energy Systems Transition: Digitalization, Decarbonization, Decentralization, and Democratization provides a thorough multidisciplinary overview of the operation of modern green energy systems and examines the role of 4D energy transition in global decarbonization mitigation efforts for meeting long-term climate goals. Contributions present practical aspects and approaches with evidence from applications to real-world energy systems, offering in-depth technical discussions, case studies, and examples to help readers understand the methods, current challenges, and future directions. A hands-on reference to energy distribution systems, it is suitable for researchers and industry practitioners from different branches of engineering, energy, data science, economics, and operation research.

Advances in Artificial Systems for Power Engineering
Advances in Artificial Systems for Power Engineering

Author: Zhengbing Hu

Publisher: Springer Nature

Published: 2021-07-01

Total Pages: 244

ISBN-13: 303080531X

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This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25–27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

Handbook of Smart Energy Systems
Handbook of Smart Energy Systems

Author: Michel Fathi

Publisher: Springer Nature

Published: 2023-08-04

Total Pages: 3382

ISBN-13: 3030979407

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This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions. Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.

Advances in Energy System Optimization
Advances in Energy System Optimization

Author: Valentin Bertsch

Publisher: Springer Nature

Published: 2019-01-01

Total Pages: 179

ISBN-13: 3030321576

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The papers presented in this open access book address diverse challenges in decarbonizing energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids, and from theoretical considerations to data provision concerns and applied case studies. While most papers have a clear methodological focus, they address policy-relevant questions at the same time. The target audience therefore includes academics and experts in industry as well as policy makers, who are interested in state-of-the-art quantitative modelling of policy relevant problems in energy systems. The 2nd International Symposium on Energy System Optimization (ISESO 2018) was held at the Karlsruhe Institute of Technology (KIT) under the symposium theme "Bridging the Gap Between Mathematical Modelling and Policy Support" on October 10th and 11th 2018. ISESO 2018 was organized by the KIT, the Heidelberg Institute for Theoretical Studies (HITS), the Heidelberg University, the German Aerospace Center and the University of Stuttgart.

Modeling and Optimization of Renewable Energy Systems
Modeling and Optimization of Renewable Energy Systems

Author: Arzu Şencan

Publisher: BoD – Books on Demand

Published: 2012-05-11

Total Pages: 312

ISBN-13: 9535106007

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This book includes solar energy, wind energy, hybrid systems, biofuels, energy management and efficiency, optimization of renewable energy systems and much more. Subsequently, the book presents the physical and technical principles of promising ways of utilizing renewable energies. The authors provide the important data and parameter sets for the major possibilities of renewable energies utilization which allow an economic and environmental assessment. Such an assessment enables us to judge the chances and limits of the multiple options utilizing renewable energy sources. It will provide useful insights in the modeling and optimization of different renewable systems. The primary target audience for the book includes students, researchers, and people working on renewable energy systems.