Sustainable Energy Transition: A Comprehensive Guide to Modelling and Optimizing Energy Systems
暫譯: 永續能源轉型：能源系統建模與最佳化的完整指南
Garg, Chandra Prakash, Rawat, Atul, Sinha, Priyank
- 出版商: CRC
- 出版日期: 2026-09-29
- 售價: $6,260
- 貴賓價: 9.5 折 $5,947
- 語言: 英文
- 頁數: 164
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032741635
- ISBN-13: 9781032741635
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相關分類:
理工類、工程數學 Engineering-mathematics
海外代購書籍(需單獨結帳)
相關主題
商品描述
The book provides a modelling-based approach to the sustainable energy transitions, that is, the emphasis on analytical frameworks to be used in the planning, optimization, and decision-making processes under the condition of uncertainty. It synthesis the mathematical, computational, and multi-criteria modelling techniques to evaluate the interrelationship between the energy supply, demand, infrastructure, and policy. The book previews the application of system dynamics, optimisation methods, scenario analysis and uncertainty modelling in the analysis of the efficiency, resilience and sustainability of energy systems. The framework will help to understand how complicated energy systems can be systematically analysed to support long-term strategies by combining data-based approaches with decision-support tools. These modelling frameworks provide a solid basis of evidence-based planning and designing the resilient, low-carbon energy directions in a heterogeneous socio-economic setting.
商品描述(中文翻譯)
本書提供一套以建模為基礎的永續能源轉型方法，強調在不確定性條件下，將分析架構應用於規劃、最佳化與決策制定流程。書中整合數學、計算與多準則建模技術，用於評估能源供應、需求、基礎設施與政策之間的相互關係。
本書概述系統動力學（system dynamics）、最佳化方法（optimisation methods）、情境分析（scenario analysis）與不確定性建模（uncertainty modelling）在分析能源系統效率、韌性與永續性方面的應用。這套架構結合資料導向方法與決策支援工具，有助於理解如何系統性地分析複雜能源系統，以支援長期策略的制定。
這些建模架構為在異質性的社會經濟環境中，進行以證據為基礎的規劃，以及設計具韌性、低碳的能源發展方向，提供了穩固基礎。
作者簡介
Chandra Prakash Garg is an Assistant Professor in the Department of Operations Management and Quantitative Techniques at IIM Rohtak, India. With over 11 years of academic and industry experience, his work spans energy policy, optimization, sustainable and maritime supply chains, transportation, energy management, and MCDM-based modelling. He has published more than 50 papers in leading international journals and conferences. He has been recognized among the world's top 2% scientists by Stanford University and Elsevier for four consecutive years.
Atul Rawat is a Senior Associate Professor and Head of the Energy, Economics, and Sustainability Cluster at the School of Business, UPES. With over 19 years of experience in the energy domain, he holds a PhD in Energy Management and has published extensively in reputed journals and conferences. His research interests include energy policy, natural gas, sustainable development, energy transition, and climate change. Previously, he worked with Deloitte, Ernst & Young, and Genpact Analytics, serving leading energy-sector clients, and is a fellow of the Southeast Asia Anubhav Lecture Series at the University of Chicago.
Priyank Sinha is an Assistant Professor in the Department of Industrial Engineering and Operations Research at Indian Institute of Technology Bombay Powai, Mumbai, India. His research focuses on Energy policy, supply chain modelling, network optimization, and logistics systems, with strong applications in healthcare and manufacturing. He has published various papers in leading international journals and conferences. He has also led funded projects related to public health programs and health-service startups.
作者簡介(中文翻譯)
Chandra Prakash Garg 是印度 IIM Rohtak 營運管理與量化技術系的助理教授。他擁有超過 11 年的學術與業界經驗，研究涵蓋能源政策、最佳化、永續與海運供應鏈、運輸、能源管理，以及基於多準則決策（MCDM）的模型建構。他已在國際知名期刊與研討會發表超過 50 篇論文。連續四年獲 Stanford University 與 Elsevier 評選為全球排名前 2% 的科學家。
Atul Rawat 是 UPES 商學院的資深副教授，並擔任能源、經濟與永續性研究群組主管。他在能源領域擁有超過 19 年的經驗，取得能源管理博士學位，並在知名期刊與研討會發表大量研究成果。他的研究興趣包括能源政策、天然氣、永續發展、能源轉型與氣候變遷。過去他曾任職於 Deloitte、Ernst & Young 及 Genpact Analytics，為能源產業的主要客戶提供服務；此外，他也是 University of Chicago 東南亞 Anubhav Lecture Series 的研究員。
Priyank Sinha 是印度孟買 Powai 的 Indian Institute of Technology Bombay 工業工程與作業研究系助理教授。他的研究聚焦於能源政策、供應鏈模型建構、網路最佳化與物流系統，並廣泛應用於醫療保健與製造業。他已在國際知名期刊與研討會發表多篇論文。此外，他也曾主持與公共衛生計畫及醫療服務新創公司相關的獲資助研究專案。
