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Solar Energy Forecasting and Resource Assessment
The definitive resource for assessing and predicting solar power generation.
Jan Kleissl (Author)
9780123971777, Elsevier Science
Hardback, published 22 August 2013
462 pages, 20 illustrations
22.9 x 15.1 x 2.9 cm, 0.91 kg
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.
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
Subject Areas: Alternative & renewable energy sources & technology [THX], Energy industries & utilities [KNB]
