Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals.
The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy.
Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals.
The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy.
1. Fundamental and Basic Principles
2. Data Visualization and Descriptive Statistics of Solar Energy
System
3. Facilities Location and Plant Layout of Solar Energy System
4. Productivity and Manufacturing Economics of Solar Energy
System
5. Assessment of Solar Energy System by Probability and Sampling
Distribution
6. Application of Regression analysis and Forecasting Techniques in
Solar Energy System
7. Inventory and Total Quality Management of Solar Energy System
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. Cheshta J. Khare has obtained her M.E.(Honours) in Power Electronics at SGSITS, India, where she is also pursuing her PhD in Power Systems. Mrs. Khare is an Assistant Professor in the department of Electrical Engineering at SGSITS, Indore, 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.
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