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Decision Science and Operations Management of Solar Energy Systems
- 1st Edition - September 29, 2022
- Authors: Vikas Khare, Cheshta J. Khare, Savita Nema, Prashant Baredar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 7 6 1 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 5 6 4 0 - 9
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… Read more
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Request a sales quoteDecision 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.
- Features a pre-feasibility assessment of a solar system by data visualization
- Details the technical parameters of a solar system by probability and sampling techniques
- Analyzes the relationship between different parameters of a solar system
Renewable energy and environmental engineers working in solar energy academia and industry. Students of Master of Technology in the field of renewable energy and engineering students of electrical and mechanical streams
- Cover Image
- Title Page
- Copyright
- Table of Contents
- Chapter 1 Fundamental and basic principles
- Learning Objectives
- 1.1 Introduction
- 1.2 Principles of solar energy system
- 1.3 Optimum design of solar energy system
- 1.4 Worldwide and Indian scenario of solar energy system
- 1.5 Fundamental of decision science
- 1.6 Fundamental of operational management process
- 1.7 Conclusion
- 1.8 Exercise/question 1
- References
- Chapter 2 Data visualization and descriptive statistics of solar energy system
- Learning Objectives
- 2.1 Introduction
- 2.2 Basics of data visualization and descriptive statistics
- 2.3 Frequency distribution of prefeasibility data of solar energy system
- 2.4 Quantitative and qualitative analysis of solar radiation data
- 2.5 Measurement of central tendency and variability of solar energy data
- 2.6 Measures of shapes of solar energy data
- 2.7 Conclusion
- 2.8 Exercise/question
- References
- Chapter 3 Facilities location and plant layout of solar energy system
- Learning Objective
- 3.1 Introduction
- 3.2 Factor affecting location decision of solar power plant
- 3.3 Location planning method of solar power plant
- 3.4 Process–product matrix of solar power plant
- 3.5 Performance measures of solar power plant layout design
- 3.6 Design of group technology solar plant layout
- 3.7 Conclusion
- 3.8 Exercise/ Question
- References
- Chapter 4 Productivity and manufacturing economics of solar energy system
- Learning Objective
- 4.1 Introduction
- 4.2 Aggregate operations planning of solar energy system
- 4.3 Level, chase, and mixed strategy of solar energy system
- 4.4 Master operations scheduling (MOS) of solar energy system
- 4.5 Dependent demand attributes of solar energy system
- 4.5.1 Planning a framework: solar panel building blocks
- 4.6 Manufacturing resource planning of solar energy component
- 4.7 Enterprise resource planning of solar energy system
- 4.8 Conclusion
- 4.9 Exercise/question
- References
- Chapter 5 Assessment of solar energy system by probability and sampling distribution
- Learning Objectives
- 5.1 Introduction
- 5.2 Discrete v/s continuous distribution of solar energy parameters
- 5.3 Binomial, poisson, and hypergeometric distribution of solar energy data
- 5.4 Assessment of solar energy system by sampling technique
- 5.5 Weibull distribution of solar energy parameters
- 5.6 Conclusion
- 5.7 Exercise/question
- References
- Chapter 6 Application of regression analysis and forecasting techniques in solar energy system
- Learning Objectives
- 6.1 Introduction
- 6.2 Correlation and simple regression of solar energy parameter
- 6.3 Multiple regressions
- 6.4 Time series forecasting
- 6.5 Exercise
- References
- Chapter 7 Inventory and total quality management of solar energy system
- Learning Objective
- 7.1 Introduction
- 7.2 Inventory planning of independent demand component
- 7.3 Inventory control system of solar energy system
- 7.4 Total quality management of solar system
- 7.5 Quality certification and society of solar energy system
- 7.6 Conclusion
- 7.7 Exercise/question
- References
- Chapter 8 Case study: Solar–wind hybrid renewable energy system
- Learning Objective
- 8.1 Introduction
- 8.2 Study area
- 8.3 Solar radiation & wind velocity
- 8.4 Load profile of study area
- 8.5 Statistical assessment of datasets
- 8.6 Modeling of solar–wind hybrid renewable energy system
- 8.7 Standalone hybrid renewable energy system
- 8.8 Objective function
- 8.9 Result and discussion
- 8.10 Life cycle analysis
- 8.11 Regression analysis
- 8.12 Conclusion
- References
- Chapter 9 Data analysis of solar energy system with Python
- Learning Objective
- 9.1 Introduction
- 9.2 First level data analysis of solar energy data with Python library
- 9.3 Second level data analysis of solar energy data with Python library
- 9.4 Data assessment of solar radiation by linear regression analysis
- 9.5 Data assessment of solar energy system by logistic regression analysis
- 9.6 Data assessment of solar energy system by Naïve Bayes analysis
- 9.7 Data assessment of solar energy system by random forest
- 9.8 Data assessment of solar energy system by decision tree
- 9.9 Data analysis of solar energy system by support vector machine
- 9.10 Conclusion
- 9.11 Exercise/questions
- References
- Index
- No. of pages: 384
- Language: English
- Edition: 1
- Published: September 29, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780323857611
- eBook ISBN: 9780323856409
VK
Vikas Khare
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.
Affiliations and expertise
Associate Professor, School of Technology, Management and Engineering, NMIMS, Indore Madhya Pradesh, IndiaCK
Cheshta J. Khare
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
Affiliations and expertise
Assistant Professor, Department of Electrical Engineering, SGSITS, Indore, IndiaSN
Savita Nema
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
Affiliations and expertise
Professor, Department of Electrical Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, IndiaPB
Prashant Baredar
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.
Affiliations and expertise
Professor and Head, Energy Department, Maulana Azad National Institute of Technology (MANIT), Bhopal, IndiaRead Decision Science and Operations Management of Solar Energy Systems on ScienceDirect