Solar Energy Forecasting and Resource Assessment
Autor Jan Kleisslen Limba Engleză Hardback – 21 aug 2013
- The only reference dedicated to forecasting and assessing solar resources enables a complete understanding of the state of the art from the world’s most renowned experts.
- Demonstrates how to derive reliable data on solar resource availability and variability at specific locations to support accurate prediction of solar plant performance and attendant financial analysis.
- Provides cutting-edge information on recent advances in solar forecasting through monitoring, satellite and ground remote sensing, and numerical weather prediction.
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Specificații
ISBN-13: 9780123971777
ISBN-10: 0123971772
Pagini: 462
Ilustrații: 20 illustrations
Dimensiuni: 152 x 229 x 30 mm
Greutate: 0.92 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0123971772
Pagini: 462
Ilustrații: 20 illustrations
Dimensiuni: 152 x 229 x 30 mm
Greutate: 0.92 kg
Editura: ELSEVIER SCIENCE
Public țintă
Scientists and engineers working within the power utility, renewable energy industry, or other related energy fields, as well as within the areas of atmospheric science and meteorology. Solar energy professionals particularly, including researchScientists and engineers working within the power utility, renewable energy industry, or other related energy fields, as well as within the areas of atmospheric science and meteorology. Solar energy professionals particularly, including research scientists, project developers, system operators, planners and engineers. scientists, project developers, system operators, planners and engineers.Cuprins
Preface
Biography
Chapter 1 - Terms and Definitions
Chapter 2 - Semi-Empirical Satellite Models
Chapter 3 - Physically Based Satellite Methods
Chapter 4 - Evaluation of Resource Risk in Solar-Project Financing
Chapter 5 - Bankable Solar-Radiation Datasets
Chapter 6 - Solar Resource Variability
Chapter 7 - Quantifying and Simulating Solar-Plant Variability Using Irradiance Data
Chapter 8 - Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation
Chapter 9 - Sky-Imaging Systems for Short-Term Forecasting
Chapter 10 - Solar Anywhere Forecasting
Chapter 11 - Satellite-Based Irradiance and Power Forecasting for the German Energy Market
Chapter 12 - Forecasting Solar Irradiance with NumericalWeather Prediction Models
Chapter 13 - Data Assimilation in Numerical Weather Prediction and Sample Applications
Chapter 14 - Case Studies of Solar Forecasting with the Weather Research and Forecasting Model at GL-Garrad Hassan
Chapter 15 - Stochastic-Learning Methods
Index
Biography
Chapter 1 - Terms and Definitions
Chapter 2 - Semi-Empirical Satellite Models
Chapter 3 - Physically Based Satellite Methods
Chapter 4 - Evaluation of Resource Risk in Solar-Project Financing
Chapter 5 - Bankable Solar-Radiation Datasets
Chapter 6 - Solar Resource Variability
Chapter 7 - Quantifying and Simulating Solar-Plant Variability Using Irradiance Data
Chapter 8 - Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation
Chapter 9 - Sky-Imaging Systems for Short-Term Forecasting
Chapter 10 - Solar Anywhere Forecasting
Chapter 11 - Satellite-Based Irradiance and Power Forecasting for the German Energy Market
Chapter 12 - Forecasting Solar Irradiance with NumericalWeather Prediction Models
Chapter 13 - Data Assimilation in Numerical Weather Prediction and Sample Applications
Chapter 14 - Case Studies of Solar Forecasting with the Weather Research and Forecasting Model at GL-Garrad Hassan
Chapter 15 - Stochastic-Learning Methods
Index