Solar energy forecasting and resource assessment / Jan Kleissl, Center for Renewable Resources and Integration, University of California, San Diego, [editor].

Format:

Book

Author/Creator:

Kleissl, Jan.

Contributor:

Kleissl, Jan, editor of compilation.

Series:

Gale eBooks

Language:

English

Subjects (All):

Solar energy.

Physical Description:

1 online resource (xxii, 416 pages, 64 unnumbered pages of plates) : illustrations (chiefly color)

Edition:

1st ed.

Place of Publication:

Oxford : Academic Press, 2013.

Language Note:

English

System Details:

text file

Summary:

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

Contents:

Front Cover; Solar Energy Forecasting and Resource Assessment; Copyright; Contents; Preface; Biography; Chapter 1 - Terms and Definitions; 1.1.INTRODUCTION; 1.2.OVERVIEW OF SOLAR-POWER CONVERSION TECHNOLOGIES; 1.3.SOLAR POWER VERSUS SOLAR IRRADIANCE; 1.4.DIRECT, DIFFUSE, AND GLOBAL SOLAR RADIATION AND INSTRUMENTATION; 1.5.ATMOSPHERIC PROPERTIES AFFECTING SOLAR IRRADIANCE; REFERENCES; Chapter 2 - Semi-Empirical Satellite Models; 2.1.SATELLITES AND SPECTRAL BANDS; 2.2.BASIC PRINCIPLES; 2.3.CLEAR-SKY BACKGROUND; 2.4.CLOUD ATTENUATION: CLOUD INDEX; 2.5.COMPUTING GLOBAL IRRADIANCE

2.6.COMPUTING DIRECT NORMAL IRRADIANCE2.7.DOWNSCALING SOLAR IRRADIANCE WITH HIGH-RESOLUTION TERRAIN INFORMATION; 2.8.SOURCES OF UNCERTAINTY; 2.9.VALIDATION AND ACCURACY; 2.10.CALIBRATING SATELLITE BIAS USING GROUND MEASUREMENTS; 2.11.FUTURE ADVANCEMENTS; REFERENCES; Chapter 3 - Physically Based Satellite Methods; 3.1.INTRODUCTION; 3.2.SATELLITE OBSERVING SYSTEMS; 3.3.CLOUD AND AEROSOL DETECTION AND PROPERTY CHARACTERIZATION; 3.4.RELATING PROPERTIES TO SURFACE-IRRADIANCE PARAMETERS; 3.5.EXAMPLE PROCESSING AND DATASETS; 3.6.FUTURE SATELLITE CAPABILITIES; 3.7.CRITICAL NEEDS FOR RESEARCH

3.8.CONCLUSIONSREFERENCES; Chapter 4 - Evaluation of Resource Risk in Solar-Project Financing; 4.1.INTRODUCTION; 4.2.PERSPECTIVES ON RESOURCE RISK IN PROJECT FINANCING; 4.3.DATA SOURCES, QUALITY, AND UNCERTAINTY; 4.4.COMMERCIAL IMPLICATIONS OF RESOURCE VARIABILITY; 4.5.TECHNIQUES FOR QUANTIFYING AND MANAGING RESOURCE RISK; 4.6.CONCLUSIONS; REFERENCES; Chapter 5 - Bankable Solar-Radiation Datasets; 5.1.INTRODUCTION; 5.2.SOLAR-RADIATION DATASETS: CHARACTERISTICS, STRENGTHS, AND WEAKNESSES; 5.3.TYPICAL METEOROLOGICAL YEAR (TMY) DATA FILES; 5.4.SATELLITE-DERIVED SOLAR-RADIATION VALUES

5.5.IRRADIANCE MEASUREMENTS AND UNCERTAINTIES5.6.BUILDING A BANKABLE DATASET; 5.7.STATISTICAL ANALYSIS OF A SOLAR-RADIATION DATASET FOR P50, P90, AND P99 EVALUATIONS; 5.8.STATUS AND FUTURE; REFERENCES; Chapter 6 - Solar Resource Variability; 6.1.INTRODUCTION; 6.2.QUANTIFYING SOLAR-RESOURCE VARIABILITY; 6.3.THE DISPERSION-SMOOTHING EFFECT; 6.4.THE GENERAL CASE OF AN ARBITRARILY DISPERSED FLEET OF SOLAR GENERATORS; 6.5.VARIABILITY IMPACT ON THE DISTRIBUTION AND TRANSMISSION SYSTEM; 6.6.A FINAL NOTE ON THE SMOOTHING EFFECT; REFERENCES

Chapter 7 - Quantifying and Simulating Solar-Plant Variability Using Irradiance Data7.1.CAUSES AND IMPACTS OF PV VARIABILITY; 7.2.VARIABILITY METRICS; 7.3.WAVELET VARIABILITY MODEL; 7.4.WVM VALIDATION AND APPLICATION IN PUERTO RICO; 7.5.CONCLUSIONS; REFERENCES; Chapter 8 - Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation; 8.1.CLASSIFICATION OF SOLAR-FORECASTING METHODS; 8.2.DETERMINISTIC AND STOCHASTIC FORECASTING APPROACHES; 8.3.METRICS FOR EVALUATION OF SOLAR-FORECASTING MODELS

8.4.APPLYING THE THI METRIC TO EVALUATE PERSISTENCE, AND NONLINEAR AUTOREGRESSIVE FORECAST MODELS

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9780123977724

012397772X

OCLC:

868597601