eBook - ePub
Decision Science and Operations Management of Solar Energy Systems
- 384 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Decision Science and Operations Management of Solar Energy Systems
About this book
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.
- 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
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Yes, you can access Decision Science and Operations Management of Solar Energy Systems by Vikas Khare,Cheshta J. Khare,Savita Nema,Prashant Baredar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Energy. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Front Matter
- Table of Contents
- Front Matter
- Copyright
- Contents
- List of Illustrations
- List of Tables
- Chapter 1 : Fundamental and basic principles
- Chapter 2 : Data visualization and descriptive statistics of solar energy system
- Chapter 3 : Facilities location and plant layout of solar energy system
- Chapter 4 : Productivity and manufacturing economics of solar energy system
- Chapter 5 : Assessment of solar energy system by probability and sampling distribution
- Chapter 6 : Application of regression analysis and forecasting techniques in solar energy system
- Chapter 7 : Inventory and total quality management of solar energy system
- Chapter 8 : Case study: Solar–wind hybrid renewable energy system
- Chapter 9 : Data analysis of solar energy system with Python
- Index
- A