Flexibility-oriented Operation of Integrated Power and Gas Networks and Low-carbon Technologies Under Clean Energy Transition - Couverture souple

Couverture souple

ISBN 10 : 0443445265 ISBN 13 : 9780443445262

Editeur : Elsevier - Health Sciences Division, 2026

Synopsis

Flexibility-Oriented Operation of Integrated Power and Gas Networks and Low-Carbon Technologies Under Clean Energy Transition provides a comprehensive examination of the critical role that integrated gas and electricity networks play in achieving a sustainable and low-carbon energy future. The book not only highlights the urgent need for flexibility in these interconnected systems, particularly through demand-side management and energy storage systems, but also addresses the pressing challenges posed by climate change and the transition away from fossil fuels. It offers insights into innovative low-carbon technologies, such as hydrogen and ammonia, while addressing the synthesis, storage, and transportation hurdles these renewable fuels face. The book's detailed contents cover essential topics, including the flexibility of coupled gas and electricity networks, operational strategies for achieving net-zero carbon emissions, and intelligent methods for assessing network adaptability. It provides a conceptual overview of decarbonization efforts for integrated energy systems and explores the feasibility of integrating artificial intelligence (AI) in these processes. Further, the book discusses the decoupling of emissions from economic growth, the role of negative emission technologies (NETs), and the application of innovative energy solutions such as gas carbon capture and storage (CCS) and hydrogen production. Case studies illustrate successful implementations of integrated networks worldwide, highlighting challenges and key lessons learned. Flexibility-Oriented Operation of Integrated Power and Gas Networks and Low-Carbon Technologies Under Clean Energy Transition serves as a vital resource for researchers in clean energy, decarbonization specialists, hydrogen production experts, energy utility companies, energy economists, electrical engineers, mechanical engineers, artificial intelligence developers, policymakers, energy service providers, and students in energy systems and is sure to be a welcomed resource.

A propos du livre

À propos des auteurs

Mohammad Taghi Ameli received his B.Sc. degree in electrical engineering from Technical College of Osnabrück, Germany, in 1988, and his M.Sc. and Ph.D. degrees from Technical University of Berlin, Berlin, Germany, in 1992 and 1997, respectively. He is a Professor of Department of Electrical Engineering and Head of Electrical Networks Research Institute at Shahid Beheshti University. He was the General Director of the Iran Research and Technology Institute for Electric Machines for three years. His research interests include power system simulation, operation, planning, and control of power systems, renewable energy in power systems, and smart grids.

Mohammad Mehdi Amiri is a is a Ph.D student in the Faculty of Electrical Engineering and a researcher at the Electrical Networks Institute of the Shahid Beheshti University. He got his B.Sc. degree from the Razi University of Kermanshah and his M.Sc. degree from the Shahid Beheshti University. His research is mainly focused on the interaction of gas/hydrogen and Electricity Networks from operation perspective.

Hossein Ameli got his PhD degree from the Electrical and Electronic Engineering department at Imperial College London. His research is mainly focused on the interaction of gas/hydrogen and electricity networks from operation and planning perspectives. In this context, the modelling is carried out for e.g., GB energy system in 2030 and 2050, where a significant part of the heat and transport sector should be electrified. Furthermore, cost-effective transition to a lower-carbon energy system achieved by the employment of flexibility options (i.e., demand side response, electricity storage, flexible gas plants, multi-directional compressors, and interconnections) in the integrated operation and planning of different energy vectors (mainly gas/hydrogen, heat and electricity) is investigated. He is a Contributing Author in Intergovernmental Panel on Climate Change (IPCC) WG 3 and contributed to many scientific papers as well as research projects related to the energy industry, such as projects for the Committee of Climate Change (CCC) and Ofgem.

Sasan Azad is a Ph.D candidate in the Faculty of Electrical Engineering and a researcher at the Electrical Networks Institute at Shahid Beheshti University, Iran. His main areas of interest are the security and voltage stability of power systems, smart grids, and electric vehicles.

Mohammadreza Daneshvar, PhD, is an Assistant Professor, founder and head of the Laboratory of Multi-Carrier Energy Networks Modernization at the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Prior to that, he was a postdoctoral research fellow in the field of modern multi-energy networks at the Smart Energy Systems Lab of the University of Tabriz for two years. He obtained his MSc and PhD degrees in Electrical Power Engineering from the University of Tabriz, all with honors. He has (co)authored more than 50 technical journal and conference articles, 10 books, 28 book chapters, and 10 national and international research projects in the field. Dr. Daneshvar is a member of the Editorial Board of the Energy and Built Environment Journal and the Early Career Editorial Board of the Sustainable Cities and Society Journal. He also served as the guest editor for the Sustainable Cities and Society, and Sustainable Energy Technologies and Assessments journals. Moreover, he serves as an active reviewer with more than 120 top journals, and was ranked among the top 1% of reviewers in Engineering and Cross-Field based on Publons global reviewer database. His research interests include Smart Grids, Transactive Energy, Energy Management, Renewable Energy Sources, Integrated Multi-Energy Systems, Grid Modernization, Electrical Energy Storage Systems, Sustainable Cities and Society, Microgrids, Energy Hubs, Machine Learning and Deep Learning, Digital Twin, and Optimization Techniques and AI.

Détails de l'édition

• Éditeur: Elsevier - Health Sciences Division
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 0443445265
• ISBN 13: 9780443445262
• Reliure: Broché
• Nombre de pages: 468
• Éditeur: Ameli Mohammad Taghi, Amiri Mohammad Mehdi, Ameli Hossein, Azad Sasan, Daneshvar Mohammadreza, Qadrdan Meysam, Strbac Goran
• Coordonnées du fabricant: non disponible
• Personne responsable: Barbara Criscuolo; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; 20141; Italie