9783031659058 - energy system modeling and optimization: a practical guide using pyomo: a practical guide using pyomo di ghadertootoonchi, alireza; solaimanian, armaghan; davoudi, mehdi; moeini aghtaie, moein (9 risultati)
Energy system modeling and optimization: A practical guide using pyomo
Ghadertootoonchi, Alireza; Solaimanian, Armaghan; Davoudi, Mehdi; Moeini Aghtaie, Moein
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 2024th edition NO-PA16APR2015-KAP.
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Taschenbuch. Condizione: Neu. Energy System Modeling and Optimization | A Practical Guide Using Pyomo | Alireza Ghadertootoonchi (u. a.) | Taschenbuch | SpringerBriefs in Energy | ix | Englisch | 2024 | Springer | EAN 9783031659058 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, ju…ergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Editore: Springer, Springer
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This brief serves as a comprehensive and practical guide to energy system optimization utilizing the Pyomo optimization package in Python. It thoroughly explains the mathematical foundations of energy system technologies and how to employ Pyomo fo…r addressing optimization challenges. The book highlights the significance of energy system optimization in terms of economic and environmental impacts, followed by a detailed exploration of Pyomo, an advanced mathematical programming language. It covers a wide spectrum of problem types, introducing various open-source solvers and outlining the steps involved in developing Python-based Pyomo code to solve optimization problems. Furthermore, the book provides mathematical formulations and Python code for diverse energy technologies, including thermal power plants, renewable energy sources like wind and solar, power transmission lines, and electricity storage systems. It also discusses topics like reliability, load loss, demand-side flexibility, and linearization techniques. To demonstrate practical application, the book offers a case study that progressively builds in complexity, guiding readers in optimizing intricate energy systems based on the models and constraints explained earlier. Targeted at professionals, researchers, and students, it is suitable for those with a foundational understanding of Python and mathematical optimization, and it underscores the crucial role of energy system optimization in addressing contemporary energy sector concerns such as environmental impact reduction and sustainable development.
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Energy system modeling and optimization: A practical guide using pyomo
Ghadertootoonchi, Alireza; Solaimanian, Armaghan; Davoudi, Mehdi; Moeini Aghtaie, Moein
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Energy system modeling and optimization: A practical guide using pyomo
Ghadertootoonchi, Alireza; Solaimanian, Armaghan; Davoudi, Mehdi; Moeini Aghtaie, Moein
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Energy System Modeling and Optimization
Ghadertootoonchi, Alireza|Solaimanian , Armaghan|Davoudi, Mehdi|Moeini Aghtaie, Moein
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2024
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This brief serves as a comprehensive and practical guide to energy system optimization utilizing the Pyomo optimization package in Python. It thoroughly explains the mathematical foundations…of energy system technologies and how to employ Pyomo for addre.
Editore: Springer, Springer Aug 2024, 2024
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This brief serves as a comprehensive and practical guide to energy system optimization utilizing the Pyomo optimization package in Python. It thoroughly explains the mathematical foundations of energy system technologies and how to… employ Pyomo for addressing optimization challenges. The book highlights the significance of energy system optimization in terms of economic and environmental impacts, followed by a detailed exploration of Pyomo, an advanced mathematical programming language. It covers a wide spectrum of problem types, introducing various open-source solvers and outlining the steps involved in developing Python-based Pyomo code to solve optimization problems. Furthermore, the book provides mathematical formulations and Python code for diverse energy technologies, including thermal power plants, renewable energy sources like wind and solar, power transmission lines, and electricity storage systems. It also discusses topics like reliability, load loss, demand-side flexibility, and linearization techniques. To demonstrate practical application, the book offers a case study that progressively builds in complexity, guiding readers in optimizing intricate energy systems based on the models and constraints explained earlier. Targeted at professionals, researchers, and students, it is suitable for those with a foundational understanding of Python and mathematical optimization, and it underscores the crucial role of energy system optimization in addressing contemporary energy sector concerns such as environmental impact reduction and sustainable development. 128 pp. Englisch.
Editore: Springer, Springer Aug 2024, 2024
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This brief serves as a comprehensive and practical guide to energy system optimization utilizing the Pyomo optimization package in Python. It thoroughly explains the mathematical foundations of energy system technologies and how to emp…loy Pyomo for addressing optimization challenges. The book highlights the significance of energy system optimization in terms of economic and environmental impacts, followed by a detailed exploration of Pyomo, an advanced mathematical programming language. It covers a wide spectrum of problem types, introducing various open-source solvers and outlining the steps involved in developing Python-based Pyomo code to solve optimization problems. Furthermore, the book provides mathematical formulations and Python code for diverse energy technologies, including thermal power plants, renewable energy sources like wind and solar, power transmission lines, and electricity storage systems. It also discusses topics like reliability, load loss, demand-side flexibility, and linearization techniques. To demonstrate practical application, the book offers a case study that progressively builds in complexity, guiding readers in optimizing intricate energy systems based on the models and constraints explained earlier. Targeted at professionals, researchers, and students, it is suitable for those with a foundational understanding of Python and mathematical optimization, and it underscores the crucial role of energy system optimization in addressing contemporary energy sector concerns such as environmental impact reduction and sustainable development.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.
