Overview
- Illustrates the impact of Collaborations between Mathematics and Industry
- The book’s content is inspired by, but not limited to, the topic of the recent Modeling Day on “Mathematical Modeling of Energy Systems”, held on March 28, 2019, at the University of Mannheim
- Compares the state of the art at the intersection of mathematics and industry, as well as the demands for future development of science and technology in the field of energy research
- Contributions address the advancement of novel mathematical models, modern efficient numerical methods in the area of power engineering for simulation, optimization and control
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 34)
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Table of contents (14 chapters)
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Front Matter
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Technical Applications
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Front Matter
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Energy Networks
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Front Matter
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Keywords
About this book
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 engineeringmay also benefit strongly.
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
Editors: Simone Göttlich, Michael Herty, Anja Milde
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/978-3-030-62732-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-62731-7Published: 03 February 2021
Softcover ISBN: 978-3-030-62734-8Published: 04 February 2022
eBook ISBN: 978-3-030-62732-4Published: 02 February 2021
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XV, 325
Number of Illustrations: 33 b/w illustrations, 101 illustrations in colour
Topics: Engineering Mathematics, Mathematical Modeling and Industrial Mathematics