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Solar Energy Forecasting and Resource Assessment, 1st Edition
For more than 65 years, Elsevier has been an award-winning provider of leading-edge data and education resources to information professionals worldwide.
Original Copyright 2014 | Published/Released June 2014
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.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.
1: Terms and Definitions.
2: Semi-Empirical Satellite Models.
3: Physically Based Satellite Methods.
4: Evaluation of Resource Risk in Solar-Project Financing.
5: Bankable Solar-Radiation Datasets.
6: Solar Resource Variability.
7: Quantifying and Simulating Solar-Plant Variability Using Irradiance Data.
8: Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation.
9: Sky-Imaging Systems for Short-Term Forecasting.
10: SolarAnywhere Forecasting.
11: Satellite-Based Irradiance and Power Forecasting for the German Energy Market.
12: Forecasting Solar Irradiance with Numerical Weather Prediction Models.
13: Data Assimilation in Numerical Weather Prediction and Sample Applications.
14: Case Studies of Solar Forecasting with the Weather Research and Forecasting Model at GL-Garrad Hassan.
15: Stochastic-Learning Methods.
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