Recent Advances in Energy Harvesting Technologies

1. Auflage 2023
ISBN: 978-87-7022-845-9
Verlag: River Publishers

Buch, Englisch, 252 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 531 g

Reihe: River Publishers Series in Energy Sustainability and Efficiency

Energy demand is continuously rising, mainly due to population growth and rapid economic development. There are substantial worries about the environmental effects of fossil fuels in addition to the uncertainties surrounding the long-term sustainability of non-renewable energy sources. Environmental safety concerns are driving an increase in the demand for renewable energy production. Numerous efforts have been paid to harvest energy from ambient sources, e.g. solar, wind, thermal, hydro, mechanical, etc.

This book discusses the application of artificial intelligence (AI) for energy harvesting. The implementation of metaheuristics and AL algorithms in the field of energy harvesting system will provide a quick start for the researchers and engineers who are new to this area. Energy harvesting technologies are growing very speedily, hence it is necessary to summarize recent advances in energy harvesting methodology.

Over the recent years, a considerable amount of effort has been devoted, both in industry and academia, towards the performance modelling and evaluation of energy harvesting technologies. This book is the result of a collaborative effort among different researchers in the fields of energy harvesting and artificial intelligence.

Technical topics discussed in the book include:

- Hybrid algorithms

- Mechanical to electrical energy conversion

- Swarm intelligence

- MPPT technologies

- Polymer nanocomposites

Zielgruppe

Postgraduate and Professional Practice & Development

Autoren/Hrsg.

Rajput, Shailendra

Sharma, Abhishek

Jately, Vibhu

Ram, Mangey

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Naturwissenschaften Physik Mechanik Energie

Inhaltsverzeichnis

1. AI in Energy Harvesting 2. Application of the ANN Method in Water Energy Harvesting 3. Artificial Intelligence (AI) in Electrical Vehicles 4. Advances in Maximum Power Point Tracking of Solar Photovoltaic Systems under Partially Shaded Conditions with Swarm Intelligence Techniques 5. Application of Polymer Nanocomposites For Energy Harvesting 6. Fabrication of Piezoelectric Material and Energy Harvesting While Walking 7. Overview of Swarm Intelligence Techniques for Harvesting Solar Energy 8. Energy Harvesting from Conducting Nanocomposites 9. PV Energy Harvesting System using MPPT Algorithms

Über Autor(innen)

Dr. Shailendra Rajput is an Associate Professor at Xi’an International University,China. He was a postdoctoral fellow at Ariel University, Israel, Xi'an Jiaotong University, China and Indian Institute of Technology, Kanpur, India. Dr. Rajput is also affiliated with Ariel University, Israel as Research Fellow. Dr. Rajput received the B.Sc. and M.Sc. degrees from the Dr. Hari Singh Gour University, Sagar, India in 2006 and 2008, respectively. Dr. Rajput received the Ph.D. degree from the Birla Institute of Technology, Ranchi, India in 2014. His main research work is associated with Energy harvesting, Solar energy, Energy storage, Energy materials, Ferroelectricity, Piezoelectricity, and biomedical application of electromagnetic waves.

Dr. Abhishek Sharma received his bachelor’s degree in electronics and communication engineering from ITM-Gwalior, India, in 2012, and his master’s degree in robotics engineering from the University of Petroleum and Energy Studies (UPES), Dehradun, India, in 2014. He was a Senior Research Fellow in a DST funded project under the Technology Systems Development Scheme and worked as an Assistant Professor with the Department of Electronics and Instrumentation, UPES. He also worked as a research fellow in Ariel university (Israel) and received Emerging Scientist award in 2021. He also worked as a research scientist in the research and development department (UPES, India) and as a research fellow in Ariel University, Israel. Currently, he is working as an assistant professor in the computer science department in Graphic Era University, Dehradun, India. His research interests include machine learning, optimization theory, swarm intelligence, embedded system, control and robotics.

Dr. Vibhu Jately obtained his Ph.D. degree in Electrical Engineering from the College of Technology, G. B. Pant University, Pantnagar, India in 2017. Since July 2019, he has been working as a post-doctoral fellow with MCAST Energy Research Group, MCAST, Malta. He has over 4 years of teaching experience during which he has also worked under United Nations Development Programme in Ethiopia. Currently he is working as an assistant professor in electrical and electronics department (UPES, India). His research interests include control in photovoltaic systems, control in power electronics and grid-connected photovoltaic systems.

Dr. Mangey Ram received his Ph.D., major with Mathematics and minor in Computer Science, from G. B. Pant University of Agriculture and Technology, Pantnagar in 2008. He is an editorial board member in many international journals. He has published 102 research publications in national and international journals of repute. His fields of research are operations research, reliability theory, fuzzy reliability, and system engineering. Currently, he is working as a Professor at Graphic Era University.