Broschiertes Buch

Renewable Energy Microgeneration Systems

Customer-led energy transition to make a sustainable world

Herausgegeben: Yang, Qiang; Yang, Ting; Li, Wei

Beschreibung

Renewable Energy Microgeneration Systems presents the latest technology advances in small-scale energy generation (electricity and heat) in the context of low/medium voltage level electric power distribution networks. With a focus on scientific innovations of the methodologies, approaches and algorithms in enabling efficient and secure operation of microgeneration systems, this book also analyzes the current understanding of motivations and barriers affecting microgeneration adoption with the aim of identifying opportunities for improving the field deployment.

Considering the recent advances of theories and implementations in modeling, design, planning and management of different forms of microgeneration systems, this reference provides applied researchers in the field of electrical engineering and renewable micro generation incredible insights into microgeneration systems technologies and the potential for new technologies and markets.

Autor

Dr. Qiang Yang obtained the BS degree (first class honors) in Electrical Engineering in 2001, and received the M.Sc. (with distinction) and Ph.D. degree both in Electronic Engineering and Computer Science from Queen Mary, University of London, London, U.K., in 2003 and 2007, respectively. He has worked as a Postdoctoral Research Associate at the Department of Electrical and Electronic Engineering, Imperial College London, U.K., from 2007 to 2010 and involved in a number of high-profile U.K. EPSRC and European IST research projects. Currently he is an Associate Professor at College of Electrical Engineering, Zhejiang University, China, and has published more than 100 technical papers, co-authored 2 books and holds 5 national patents. His research interests over the years include communication networks, smart energy systems, and large-scale complex network modeling, control, optimization, and simulation. He is the member of various international academic bodies including IEEE, IET a

nd IEICE as well as the Senior Member of China Computer Federation (CCF).Dr. Li received his Ph.D. degree from the School of Information Technologies at The University of Sydney in 2012. He is currently a research fellow in the Centre for Distributed and High Performance Computing, and school of Information Technologies in The University of Sydney. His research is supported by Early Career Researcher (ECR) funding scheme and Clean energy and intelligent networks cluster funding scheme in The University of Sydney. His research interests include Internet of Things, wireless sensor network, task scheduling, resource management, optimization and nature-inspired algorithms. He is a member of IEEE and ACM

Produktdetails

• Verlag: Academic Press / Elsevier Science & Technology
• Artikelnr. des Verlages: C2019-0-02579-4
• Englisch
• Abmessung: 16mm x 152mm x 229mm
• Gewicht: 610g
• ISBN-13: 9780128217269
• Artikelnr.: 59260921