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Energy system modeling and optimization = a practical guide using Pyomo /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Energy system modeling and optimization/ by Alireza Ghadertootoonchi ...[et al.].
其他題名:	a practical guide using Pyomo /
其他作者:	Ghadertootoonchi, Alireza.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	ix, 118 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Electric power systems - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-031-65906-5
ISBN:	9783031659065

Energy system modeling and optimization = a practical guide using Pyomo /
Energy system modeling and optimizationa practical guide using Pyomo /[electronic resource] :by Alireza Ghadertootoonchi ...[et al.]. - Cham :Springer Nature Switzerland :2024. - ix, 118 p. :ill., digital ;24 cm. - SpringerBriefs in energy,2191-5539. - SpringerBriefs in energy..

Introduction -- How to Use Pyomo -- Electricity System Modeling -- Pyomo Formulation of Electricity System Optimization Problem -- Analyzing Optimization Results.

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.

ISBN: 9783031659065

Standard No.: 10.1007/978-3-031-65906-5doiSubjects--Topical Terms:

632539
Electric power systems
--Mathematical models.

LC Class. No.: TK1005

Dewey Class. No.: 621.3191

Energy system modeling and optimization = a practical guide using Pyomo /
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