1st Edition
Battery-Integrated Residential Energy Systems
Battery-Integrated Residential Energy Systems introduces Battery Energy Storage Systems (BESS) of residential systems and offers insight into modelling, managing, and controlling. Apart from survey of different BESS applications, it explains electrochemical simulation models of BESS. It includes performance parameters, economic analysis, sizing, energy management, control, charging, discharging patterns, coordination of the storage system with other devices in the home including policy-related matters.
Features:
· Covers different aspects of smart residential energy system with battery as a key element
· Discusses increasing energy efficiency in residential units by optimal control and management of BESS
· Explores information related to the policy regarding the use of BESS
· Includes chapters on energy trading for implementation of optimal energy management of BESS
· Focusses on variety of aspects of battery operation and control
The book is aimed at senior undergraduate, graduate students and researchers in Electrical Engineering, Battery systems, Energy Engineering, and Sustainable and Renewable Technologies.
Chapter 1. Introduction to battery-integrated residential Energy systems
Asmae Berrada, Altaf Q. H. Badar, Mohammad Sanjari
Chapter 2. Battery Technologies Comparison – Residential Systems
Cyrus Wekesa
Chapter 3. A Review of Lithium-ion Battery Models
Wei Liu, Jiashen Teh, Jian Shi
Chapter 4. Economic analysis and optimal sizing of battery-integrated residential systems
Anisa Emrani, Youssef Achour, Naoufel Ennemiri, Asmae Berrada
Chapter 5. Optimization and Operational Battery Management Systems for Residential Systems
Truong Hoang Bao Huy, Daehee Kim, Dieu Ngoc Vo, Khoa Hoang Truong
Chapter 6. Regulatory settings and policy options for battery integrated residential system
Swasti Swadha, Bhavna Jangid, Rohini Haridas, Shubham Yadav, Chandra Prakash, Ajay Verma,
Arun Nayak, Shivani Garg, Parul Mathuria, Rohit Bhakar
Chapter 7. Off-grid battery integrated residential system
Ikram El Haji, Mustapha Kchikach, Abdennebi El hasnaoui, Sanaa Sahbani.
Chapter 8. Peer-to-peer transaction in Battery Integrated Residential Sector
Debasmita Panda, Altaf Q H Badar
Chapter 9. Benefits of decentralized residential batteries for system-level energy management
Shubham Yadav, Bhavna Jangid, Chandra Prakash, Ajay Verma, Arun Nayak, Rohini Haridas, Swasti Swadha, Shivani Garg, Parul Mathuria, Rohit Bhakar.
Chapter 10. Current Challenges and Application Outlook of Battery Technologies in Home Energy Systems
Phuc Duy Le, Duong Minh Bui
Chapter 11. Electric Vehicles as an Active Energy Storage System
Youssef Achour, Anisa Emrani, Asmae El Moukrini, Asmae Berrada
Chapter 12 .Virtual power plants with battery integrated residential systems
Mohammad Reza Fallahzadeh, Ali Shayegan-Rad, Ali Zangeneh
Chapter 13. Role of Battery Integrated Residential Systems for Regulation Reserve Markets
Ali Shayegan-Rad, Mohammad Reza Fallahzadeh Ali Zangeneh
Biography
Dr. Asmae Berrada is an associate professor of Energy in the school of Energy Engineering at the international University of Rabat (UIR). She holds a PhD degree from the Faculty of Science USMBA. Her PhD work was prepared at Al Akhawayn University within the framework of the EUROSUNMED project (EU-H2020 Project). She obtained a Master degree of Science in Sustainable Energy Management, and a Bachelor degree in Engineering and Management Science from Al Akhawayn University. Dr. Berrada has been started her career as a part-time faculty at Al Akhawayn University from 2014 to 2018.
She has been ranked among the World’s Top 2% Scientists, by Stanford University and Elsevier ranking for 2023. She has also received a number of research awards and honors from IRESEN, MASEN, and USMBA.
Asmae has led a number of research projects about renewable energy, hybrid energy systems and energy storage such as SHPS, GESYS, DARNASOL. She has published a number of articles in leading energy international journals and two books (Gravity Energy Storage, Hybrid energy system Models). Her main research focus is on energy systems and their modeling. She has actively been working in the area of energy storage and renewable energy.
Google Scholar: https://scholar.google.com/citations?user=4ZcJn38AAAAJ&hl=fr&oi=aoResearchgate: https://www.researchgate.net/profile/Asmae-Berrada?ev=hdr_xprf
Dr. Altaf Q. H. Badar is currently associated with the Electrical Engineering Department of National Institute of Technology Warangal, India. He completed his Bachelors and Master from Rashtrasant Tukdoji Maharaj Nagpur University, India in 2001 and 2009 respectively. He pursued his PhD from Visvesvaraya National Institute of Technology, India and completed it in 2015. His research in PhD dealt with reduction of active power losses by controlling the flow of reactive power in the transmission system through evolutionary optimization techniques. He also has a Diploma in Business Management completed in 2004 from ICFAI, India. He has a vast experience of approximately 17 years in the field of teaching professional engineering courses and 4 years of field experience. His research interests include evolutionary optimization techniques, energy management, smart homes and energy trading. He has published his research work in more than 30 international papers in journals and conferences. He was awarded a project under the RSM scheme of his parent institution on the topic of smart homes. He has also executed a project awarded under GIAN, worth $12,000 on the topic of Advanced Energy Conversion and Storage Systems. He has been a member of board of studies of different institutions and RTM Nagpur University, India. He has also chaired a number of international conferences along with being member of various technical committees. He was editorial member of International Refereed Journal of Engineering Science and Technology and is currently editorial member of i) American Journal of Electrical Power and Energy Systems and ii) International Advanced Research Journal of Engineering and Technology. He has to his name a book on Evolutionary Optimization Algorithms and around 5 book chapters. He has delivered his services as a reviewer for multiple International Journals and Conferences and for a book. He has delivered a large number of expert lectures in different engineering institutions across India. He has guided around 30 undergraduate and 10 postgraduate projects. Currently 04 research scholars are working under his guidance. He is a Senior Member in IEEE, Life Member in Indian Society of Technical Education and a member of IAENG. He can apprehend 7 different languages at various levels.
Dr Mohammad Sanjari (PhD, FHEA) received Ph.D. degree in Electrical Engineering in 2013 from Amirkabir University of Technology (AUT), Tehran, Iran after successfully accomplishing the project “Control of Micro-grid using Distributed Object-Oriented Intelligent System with Partial Information” as his PhD thesis in which he investigated the partial-information based distributed control scheme of a microgrid to increase its reliability in different modes of operation with considering the problems of cyber system.
After PhD, he joined the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore as a postdoctoral research fellow, in which he worked on a project about increasing reliability and economic performance of the microgrid with the funding of S$2.78M. After that, he joined The University of Auckland, New Zealand as a postdoctoral research fellow in the Electrical and Computer Engineering Department to work on developing a generalized framework to model the cascade events propagation in the power systems. The project’s goal was to illustrate the concept of cascading propagation in the large-scale power grid, especially in low-carbon energy networks, with the help of graph theory concept and big data analytics to form a platform for studying initiation, progression and propagation of events in a large-scale power system. Since January 2019, he has been with the School of Engineering and Built Environment, Griffith University, Australia.
Almost all of his activities have been done in the team working environment, through which he has been able to develop ideas, execute projects, communicate issues and next steps, overcome problems, and generally collaborate productively with others. From 2015 to 2017 along with his research project in NTU, he worked with SembCorp Marine (SM), Singapore. After that, he organized training sessions for SM’s engineers to work effectively with the load forecast module to gain better insight into appropriate decision-making procedures for network operation. From 2017 to 2019, he was an active member of the Te Pūnaha Matatini (TPM), Whanau, an active trans-disciplinary community, with a shared interest in complex systems and networks, comprising postgraduate students, postdocs and early career researchers from all over New Zealand.
He is the author of more than 70 journal and conference papers. His h-index is 24 (google scholar metrics) showing impactful research studies in his areas of research interests which include applying artificial intelligence and data mining in power systems analysing, control, condition monitoring and assessment. Furthermore, he has done research studies on decision making in the power system considering network security and risk constraints by using machine learning methods and big data analysis techniques. He also has expertise in probabilistic analysis of smart multi-carrier energy systems, including hybrid load demands and renewable energy resources.
