Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/7621
Increasing the temporal resolution of direct normal solar irradiance forecasted series
Título : Increasing the temporal resolution of direct normal solar irradiance forecasted series
Autor : Fernández-Peruchena, Carlos M.Gastón, MartínSchroedter-Homscheidt, MarionMartínez Marco, IsabelCasado Rubio, José Luis ORCID RESEARCHERID García-Moya, José Antonio
Palabras clave : Solar irradiance; Thermal power plants; Numerical weather prediction; Direct Normal solar Irradiance (DNI); Solar radiation forecasting
Fecha de publicación : 2017
Editor: American Institute of Physics
Citación : AIP Conference Proceedings. 2017, 1850, p. 140007-1-140007-8
Versión del editor: http://dx.doi.org/10.1063/1.4984515
Resumen : A detailed knowledge of the solar resource is a critical point in the design and control of Concentrating Solar Power (CSP) plants. In particular, accurate forecasting of solar irradiance is essential for the efficient operation of solar thermal power plants, the management of energy markets, and the widespread implementation of this technology. Numerical weather prediction (NWP) models are commonly used for solar radiation forecasting. In the ECMWF deterministic forecasting system, all forecast parameters are commercially available worldwide at 3-hourly intervals. Unfortunately, as Direct Normal solar Irradiance (DNI) exhibits a great variability due to the dynamic effects of passing clouds, 3-h time resolution is insufficient for accurate simulations of CSP plants due to their nonlinear response to DNI, governed by various thermal inertias due to their complex response characteristics. DNI series of hourly or sub-hourly frequency resolution are normally used for an accurate modeling and analysis of transient processes in CSP technologies. In this context, the objective of this study is to propose a methodology for generating synthetic DNI time series at 1-h (or higher) temporal resolution from 3-h DNI series. The methodology is based upon patterns as being defined with help of the clear-sky envelope approach together with a forecast of maximum DNI value, and it has been validated with high quality measured DNI data.
Patrocinador: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654984.
URI : http://hdl.handle.net/20.500.11765/7621
ISSN : 0094-243X
Colecciones: Artículos científicos 2015-2018

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