Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration - Brossura

Khare, Vikas; Nema, Savita; Baredar, Prashant

Brossura

ISBN 10: 0128189045 ISBN 13: 9780128189047

Casa editrice: Butterworth-Heinemann, 2020

Riassunto

Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems. The book explores techniques for assessment of tidal, wave and offshore wind energy systems. It presents the use of data mining software to simulate systems and Hadoop technology to evaluate control systems. The use of Map Reduce algorithms in systems optimization is examined, along with the application of NoSQL in systems management. Actual data collection through web-based applications and social networks is discussed, along with practical applications of recommendations.

• Introduces computational methods for processing and analyzing data to predict ocean energy system production, assess their efficiency, and ensure their reliable connection to power grids
• Covers data processing solutions like Hadoop, NoSQL, Map Reduce and Lambda, discussing their applications in ocean energy for system design and optimization
• Provides practical exercises that demonstrate the concepts explored in each chapter

Su questo libro

Informazioni sugli autori

Vikas Khare is an associate professor at the School of Technology, Management and Engineering, NMIMS, Indore Madhya Pradesh, India. He obtained his B.Tech in Electrical Engineering in 2007 from GEC Sagar, M.Tech (Honors) in Energy Management from DAVV Indore in 2011, and Ph.D. from National Institute of Technology Bhopal, India in 2016, with teaching experience of 12 years. His main research interests are renewable energy systems, optimization techniques and game theory and Big Data. He is also a certified energy manager under the bureau of energy efficiency in India. Dr. Khare has published various research papers in reputed journals such as Elsevier and Taylor and Francis and published books on Renewable Energy in Balaji Publication Fundamentals of Electrical Engineering, Fundamentals of Electrical & Electronics Engineering, Fundamentals of Electronics Engineering in Dhanpat Rai Publication and one book of Tidal energy system, Elsevier publication USA. He is also Nominee member of computer society of India.

Savita Nema is currently a professor in the Department of Electrical Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, India. She received her B.E. degree in Electrical Engineering in 1990 and her M.E. degree in Control Systems in 1993, both from Jabalpur Engineering College, Madhya Pradesh, India. She went on to complete her Ph.D. degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) Bhopal, India, in 2011. She has more than 25 years’ experience in teaching and research. She was the head of the Electrical Engineering Department during 2016-2018. In addition, she was also a Chairperson of the Energy Centre, MANIT during 2018. She has guided around 50 M.Tech. dissertation and two PhDs and currently supervising candidates for doctoral degree. Dr. Nema has published more than 100 research papers in national/international journals/conferences, and is a member of the Advisory Board of MP Regulatory Electricity commission (MPREC) in Bhopal since Feb 2014. She has coauthored a book on Tidal Energy published by Elsevier and has been expert and chairman of various selection committees. She is the winner of DG NCC plaque of Honour award for the year 2000.

Prashant Baredar is a professor and head in Energy Department, Maulana Azad National Institute of Technology (MANIT), Bhopal, India. He achieved his Ph.D. degree in Hybrid Energy System from Rajiv Gandhi Technological University Bhopal. Dr. Baredar has 20 years’ experience in Mechanical Engineering. He is on the editorial board of many international journals. He has successfully organized five national seminars and conferences on Energy topic and delivered 25 expert lectures & invited talks. He has guided 6 PhD thesis and 42 M.Tech thesis. He has published one patent on reconfigurable mechanism for wind turbine blade. Dr. Baredar has published 102 research papers in national/international Journals and at conferences, and contributed to the books entitled Basic Mechanical Engineering, Practical Journal of Basic Mechanical Engineering, Renewable Energy sources and Practical Journal of Basic Civil Engineering& Engineering Mechanics.

Dalla quarta di copertina

Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration is a practical guide to the methodologies for assembling and analyzing large datasets required for more efficient ocean energy systems that can be reliably connected to the power grid.

Key features

Introduces computational methods for processing and analyzing data to predict ocean energy system production, and assesses their efficiency

Covers data processing solutions like Hadoop, NoSQL, Map Reduce, and Lambda

Includes practical exercises that demonstrate the concepts explored in each chapter

Ocean Energy Modeling and Simulation with Big Data

offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems design and optimization. It explores techniques for assessment of tidal, wave, and offshore wind energy systems. This book also presents the use of data mining software to simulate systems and Hadoop technology to evaluate control systems. The use of Map Reduce algorithms in systems optimization is examined, along with the application of NoSQL in systems management. Actual data collection through web-based applications and social networks, as well as the practical application of recommendation systems for ocean energy, is also discussed.

ABOUT THE AUTHORS:

Vikas Khare

is an associate professor at the School of Technology, Management and Engineering, NMIMS, Indore, Madhya Pradesh, India. He obtained his MTech (honours) in energy management from DAVV Indore, India, and PhD from National Institute of Technology, Bhopal, India. His main research interests are renewable energy systems, optimization techniques, and game theory. He is also a certified energy manager under the bureau of energy efficiency in India. He has published various research papers in reputed journals and books on renewable energy, including Tidal Energy Systems published by Elsevier.

Savita Nema

is a professor in the Department of Electrical Engineering at Maulana Azad National Institute of Technology, Bhopal, India. She is also chairperson of Energy Center MANIT, Bhopal. She coauthored Tidal Energy Systems, published by Elsevier, and has published more than 100 research papers in both national and international journals/conferences. Her research interest includes power conditioning of renewable energy sources, particularly solar photovoltaics and control system design.

Prashant Baredar

is a professor and head in the Energy Department at Maulana Azad National Institute of Technology (MANIT), Bhopal, India. He holds a PhD in hybrid energy system from Rajiv Gandhi Technological University, Bhopal. He has 20 years experience in mechanical engineering, during which he has published one patent on reconfigurable mechanism for wind turbine blade and many research papers in journals and conference proceedings. He has done consultancy projects on "investment grade energy audit of Rajgarh Collectorate building" and "solution to reducing bearing temperature in hydro turbine in Indira Sagar Hydro Power," a number of high-level research projects funded by state and central governments are to his credit. He is currently working on the "sensitivity analysis and optimization of hybrid system of solar, wind, and biomass (Rs. 4,52,000)" project funded by Madhya Pradesh Council of Science & Technology, Bhopal, India.

Dettagli dell?edizione

• Editore: Butterworth-Heinemann
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 0128189045
• ISBN 13: 9780128189047
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 370
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile