ISBN: 9783642326837
The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanit… mais…
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2012, ISBN: 9783642326837
Editor: Khaitan, Siddhartha Kumar, Editor: Gupta, Anshul, Springer, Kindle Edition, Auflage: 2012, 396 Seiten, Publiziert: 2012-09-13T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, … mais…
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ISBN: 9783642326837
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2012, ISBN: 9783642326837
Editor: Khaitan, Siddhartha Kumar, Editor: Gupta, Anshul, Springer, Kindle Edition, Auflage: 2012, 396 Seiten, Publiziert: 2012-09-13T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, … mais…
ISBN: 9783642326837
*High Performance Computing in Power and Energy Systems* / pdf eBook für 149.99 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik Medien > Bücher nein eBook als pdf eBooks > Sac… mais…
ISBN: 9783642326837
High Performance Computing in Power and Energy Systems: ab 149.99 € eBooks > Sachthemen & Ratgeber > Technik Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
2012, ISBN: 9783642326837
eBooks, eBook Download (PDF), 2013, [PU: Springer Berlin], Seiten: 382, Springer Berlin, 2012
Dados bibliográficos do melhor livro correspondente
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Dados detalhados do livro - High Performance Computing in Power and Energy Systems
EAN (ISBN-13): 9783642326837
ISBN (ISBN-10): 3642326838
Ano de publicação: 2012
Editor/Editora: Springer Berlin
379 Páginas
Língua: eng/Englisch
Livro na base de dados desde 2012-12-17T13:59:56-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-02-03T22:40:56-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642326837
Número ISBN - Ortografia alternativa:
3-642-32683-8, 978-3-642-32683-7
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: gupta, kum, siddhartha
Título do livro: high performance, high power
Dados da editora
Autor: Siddhartha Kumar Khaitan; Anshul Gupta
Título: Power Systems; High Performance Computing in Power and Energy Systems
Editora: Springer; Springer Berlin
382 Páginas
Ano de publicação: 2012-09-13
Berlin; Heidelberg; DE
Língua: Inglês
149,79 € (DE)
154,00 € (AT)
176,50 CHF (CH)
Available
XIV, 382 p.
EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektrotechnik; Verstehen; Energy Systems; HPC; High Performance Computing; Power Systems; B; Electrical Power Engineering; Mechanical Power Engineering; Energy Policy, Economics and Management; Energy; Energietechnik, Elektrotechnik und Energiemaschinenbau; Umwelt; BB
The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.
From the contents: High Performance Computing in Electrical Energy Systems Applications.- High Performance Computing for Power System Dynamic Simulation.- Distributed Parallel Power System Simulation.- A MAS-Based Cluster Computing Platform for Modern EMS.- High-Performance Computing for Real-Time Grid Analysis and Operation.- Dynamic Load Balancing and Scheduling for Parallel Power System Dynamic Contingency Analysis.
The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.
Brings together recent advances in the application of High Performance Computing in accelerating computations in complex power and energy systems Equips engineers, designers and architects with the understanding of complex power and energy systems Excellent state-of-the-art reference material for engineers and students with an interest in future efficient and reliable power grid with large renewable energy penetration
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