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Article Dans Une Revue Journal of Cleaner Production Année : 2016

Daily forecast of solar thermal energy production for heat storage management

Résumé

Solar energy offers a renewable source of power but its fluctuating nature raises concerns about the electrical grid balancing. Network regulators have to estimate the upcoming production to match supply with demand; consequently, power plant operators may be asked to provide accurate forecasts. Planning the thermal or electrical output of solar power plants is thus highly required to ensure a stable power chain supply. This paper presents a solution that couples a meteorological model with a solar power plant performance model. The power output is predicted 24 h ahead in the case of a solar Fresnel power plant. The required Direct Normal Irradiance is inferred from the global horizontal irradiance; the thermal production is evaluated from an optical and thermal model. Our approach has been validated on a 1000 m 2 Fresnel power plant, paving the way for model-based storage strategy.
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Dates et versions

hal-02567219 , version 1 (12-05-2020)

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Sylvain Rodat, Christian Tantolin, Xavier Le Pivert, Sylvain Lespinats. Daily forecast of solar thermal energy production for heat storage management. Journal of Cleaner Production, 2016, 139, pp.86-98. ⟨10.1016/j.jclepro.2016.08.019⟩. ⟨hal-02567219⟩
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