Energy System Modeling and Optimization: A Practical Guide Using Pyomo
Ghadertootoonchi, Alireza, Solaimanian, Armaghan, Davoudi, Mehdi
- 出版商: Springer
- 出版日期: 2024-08-15
- 售價: $2,140
- 貴賓價: 9.5 折 $2,033
- 語言: 英文
- 頁數: 104
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031659058
- ISBN-13: 9783031659058
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商品描述
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.
商品描述(中文翻譯)
本簡介作為一份全面且實用的指南，介紹如何利用 Python 中的 Pyomo 優化套件進行能源系統優化。它徹底解釋了能源系統技術的數學基礎，以及如何使用 Pyomo 來解決優化挑戰。本書強調了能源系統優化在經濟和環境影響方面的重要性，隨後詳細探討了 Pyomo，這是一種先進的數學程式語言。內容涵蓋了各種問題類型，介紹了多種開源求解器，並概述了開發基於 Python 的 Pyomo 代碼以解決優化問題的步驟。此外，本書提供了多種能源技術的數學公式和 Python 代碼，包括熱電廠、風能和太陽能等可再生能源、電力傳輸線和電力儲存系統。它還討論了可靠性、負載損失、需求側靈活性和線性化技術等主題。為了展示實際應用，本書提供了一個逐步增加複雜度的案例研究，指導讀者根據先前解釋的模型和約束來優化複雜的能源系統。本書針對專業人士、研究人員和學生，適合那些具備 Python 和數學優化基礎知識的人，並強調能源系統優化在解決當前能源部門問題（如減少環境影響和可持續發展）中的關鍵角色。
作者簡介
Alireza Ghadertootoonchi received his BSc in Energy Engineering from the Department of Energy Engineering and Physics at Amirkabir University of Technology (Tehran Polytechnic) in Sep 2020 and his MSc in Energy Systems Engineering from the Department of Energy Engineering at Sharif University of Technology in May 2023. He is currently a PhD student at the Department of Civil and Mineral Engineering at the University of Toronto and a student member of ASHRAE. His current research focuses on developing scalable, reliable, accurate, and efficient modeling frameworks for building energy systems and using optimization strategies to improve the energy efficiency of smart grid-interactive buildings.
Armaghan Solaimanian received her BSc in Energy Engineering from the Department of Energy Engineering and Physics at Amirkabir University of Technology (Tehran Polytechnic) in Sep 2020 and her MSc in Energy Systems Engineering from the Department of Energy Engineering at Sharif University of Technology in May 2023. Her MSc thesis is about evaluating the potential of renewable energy integration in greenhouse systems to reduce the environmental impacts of greenhouse cultivation. Her current research interests are smart and energy-efficient buildings, modeling energy systems considering the role of renewable sources, and sustainable greenhouse systems.
Mehdi Davoudi received his BSc in electrical engineering from the Ferdowsi University of Mashhad, Mashhad, Iran, in 2017, and the MSc degree in energy systems engineering from the Sharif University of Technology, Tehran, Iran, in 2021. He is currently a Ph.D. student in Electrical Engineering at Purdue University, West Lafayette, USA. His research interests include renewable integration, energy markets, network planning, battery energy storage, and energy hub operation and planning.
Moein Moeini-Aghtaie, a Senior Member of the IEEE, earned his M.Sc. and Ph.D. degrees in electrical engineering in Tehran, Iran, in 2010 and 2014, respectively. Currently holding the position of Assistant Professor his research primarily focuses on the reliability and resilience of contemporary distribution systems, especially in the context of multi-carrier energy environments, as well as the management of charging for plug-in hybrid electric vehicles. Dr. Moeini-Moghtaie is actively involved in teaching courses related to energy hub simulation and optimization and applied optimization in energy systems, emphasizing the significance of economic and environmental optimization within energy systems. Furthermore, he boasts an extensive publication record, with over 180 journal and conference papers and book chapters in the domain of energy systems modeling and optimization.
作者簡介(中文翻譯)
Alireza Ghadertootoonchi於2020年9月在阿米爾卡比爾科技大學（德黑蘭理工）能源工程與物理系獲得能源工程學士學位，並於2023年5月在沙里夫科技大學能源工程系獲得能源系統工程碩士學位。他目前是多倫多大學土木與礦業工程系的博士生，並且是ASHRAE的學生會員。他目前的研究重點是開發可擴展、可靠、準確且高效的建築能源系統建模框架，並使用優化策略來提高智慧電網互動建築的能源效率。
Armaghan Solaimanian於2020年9月在阿米爾卡比爾科技大學（德黑蘭理工）能源工程與物理系獲得能源工程學士學位，並於2023年5月在沙里夫科技大學能源工程系獲得能源系統工程碩士學位。她的碩士論文探討了在溫室系統中整合可再生能源以減少溫室栽培對環境影響的潛力。她目前的研究興趣包括智慧與能源高效建築、考慮可再生能源角色的能源系統建模，以及可持續的溫室系統。
Mehdi Davoudi於2017年在伊朗馬什哈德的費爾多西大學獲得電機工程學士學位，並於2021年在伊朗德黑蘭的沙里夫科技大學獲得能源系統工程碩士學位。他目前是美國西拉法葉的普渡大學電機工程博士生。他的研究興趣包括可再生能源整合、能源市場、網絡規劃、電池儲能以及能源樞紐的運作與規劃。
Moein Moeini-Aghtaie是IEEE的資深會員，於2010年和2014年在伊朗德黑蘭獲得電機工程碩士和博士學位。目前擔任助理教授，他的研究主要集中在當代配電系統的可靠性和韌性，特別是在多載體能源環境中的應用，以及插電式混合電動車的充電管理。Moeini-Moghtaie博士積極參與與能源樞紐模擬和優化及能源系統應用優化相關的課程教學，強調經濟和環境優化在能源系統中的重要性。此外，他在能源系統建模和優化領域擁有超過180篇期刊和會議論文及書籍章節的豐富出版紀錄。
