Solar energy forecasting and resource assessment /
Addresses new barriers to solar energy implementation that have made the field of solar forecasting and resource assessment pivotally important. Topics covered include intermittency, reliability, accuracy of long-term resource projections, and variable short-term power generation.
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Oxford, UK ; Waltham, MA :
Academic Press,
2013.
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Edición: | 1st ed. |
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 1. Terms and definitions / Tom Stoffel
- 2. Semi-empirical satellite models / Richard Perez, Tomas Cebecauer and Marcel Suri
- 3. Physically based satellite models / Steven D. Miller, Andrew K. Heidinger and Manajit Sengupta
- 4. Evaluation of resource risk in solar-project financing / Andrew McMahan, Cathy Grover and Frank Vignola
- 5. Bankable solar-radiation datasets / Frank Vignola, Andrew McMahan and Cathy Grover
- 6. Solar resource variability / Richard Perez and Thomas E. Hoff
- 7. Quantifying and simulating solar-plant variability using irradiance data / M. Lave, J. Kleissl and J. Stein
- 8. Overview of solar-forecasting methods and a metric for accuracy evaluation / Carlos F.M. Coimbra and Jan Kleissl, Richardo Marquez
- 9. Sky-imaging systems for short-term forecasting / Bryan Urquhart, Mohamed Ghonima, Dung Nguyen, Ben Kurtz, Chi Wai Chow and Jan Kleissl
- 10. Solar anywhere forecasting / Richard Perez and Tom E. Hoff
- 11. Satellite-based irradiance and power forecasting for the German energy market / Jan Kuhnert, Elke Lorenz and Detlev Heinemann
- 12. Forecasting solar irradiance with numerical weather prediction models / Vincent E. Larson
- 13. Data assimilation in numerical weather prediction and sample applications / Andrew S. Jones and Steven J. Fletcher
- 14. Case studies of solar forecasting with the weather research and forecasting model at GL-Garrad Hassan / Patrick Mathiesen, Jan Kleissl and Craig Collier
- 15. Stochastic-learning methods / Carlos F.M. Coimbra and Hugo T.C. Pedro.