Solar Energy Forecasting and Resource Assessment
Published on 22. August 2013
Book
Hardback
462 pages
978-0-12-397177-7 (ISBN)
Description
Solar Energy Forecasting and Resource Assessment is a vital text for solar energy professionals, addressing a critical gap in the core literature of the field. As major barriers to solar energy implementation, such as materials cost and low conversion efficiency, continue to fall, issues of intermittency and reliability have come to the fore. Scrutiny from solar project developers and their financiers on the accuracy of long-term resource projections and grid operators' concerns about variable short-term power generation have made the field of solar forecasting and resource assessment pivotally important. This volume provides an authoritative voice on the topic, incorporating contributions from an internationally recognized group of top authors from both industry and academia, focused on providing information from underlying scientific fundamentals to practical applications and emphasizing the latest technological developments driving this discipline forward.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
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.
Product notice
sewn/stitched
Cloth over boards
Illustrations
Approx. 200 illustrations
Dimensions
Height: 236 mm
Width: 161 mm
Thickness: 30 mm
Weight
937 gr
ISBN-13
978-0-12-397177-7 (9780123971777)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Content
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