Economic Assessment of a Concentrating Solar Power Forecasting System for Participation in the Spanish Electricity Market

Kraas, Birk; Schroedter-Homscheidt, Marion; Pulvermüller, Benedikt; Madlener, Reinhard

doi:10.2139/ssrn.1874063

Cited by 76 publications

(2 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kraas et al (2010Kraas et al ( ,2011 analyzed how a good DNI forecast can enhance the profitability of a power plant when operating at a day-ahead electricity market. Kraas et al (2010Kraas et al ( ,2011 analyzed how a good DNI forecast can enhance the profitability of a power plant when operating at a day-ahead electricity market.…”

Section: U Ser Requirements From Thementioning

confidence: 99%

“…Concentrating solar power (CSP) systems use lenses or mirrors and tracking systems to focus a large area of sunlight onto a small area. Kraas et al (2010Kraas et al ( ,2011 analyzed how a good DNI forecast can enhance the profitability of a power plant when operating at a day-ahead electricity market. Alternatively, concentrating photovoltaics (CPV) are a future technology with growing interest among industries, where sunlight is concentrated on smaller and highly efficient but rather expensive photovoltaic cells.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Aerosols for Concentrating Solar Electricity Production Forecasts: Requirement Quantification and ECMWF/MACC Aerosol Forecast Assessment

Schroedter-Homscheidt

Oumbe

Benedetti

et al. 2013

Bulletin of the American Meteorological Society

Self Cite

View full text Add to dashboard Cite

Extending numerical weather forecasting with chemical weather modeling will improve prediction of aerosol extinction and direct irradiance at the surface-and thus increase reliability of solar energy. U SER REQUIREMENTS FROM THE SOLAR SECTOR. Concentrating solar power (CSP) systems use lenses or mirrors and tracking systems to focus a large area of sunlight onto a small area. A working fluid is heated by the concentrated sunlight, and this thermal energy can be stored or immediately used to produce electricity via a steam turbine. Alternatively, concentrating photovoltaics (CPV) are a future technology with growing interest among industries, where sunlight is concentrated on smaller and highly efficient but rather expensive photovoltaic cells. Concentrating technologies utilize direct normal irradiance (DNI), which is the direct irradiance on the normal plane with respect to the incoming beam. Typically, DNI is measured as the incoming irradiance from the Sun's disc together with circumsolar diffuse irradiance within a cone of 2.5°a round the Sun's center (WMO 2010).Sunlight is the fuel for each solar energy conversion system. Like any generation source, knowledge about the fuel's quality and future reliability is essential for an accurate estimate of technical system performance and financial viability of a project. For site selection, choosing the optimum energy conversion technology, or designing systems for specific locations, it is necessary to understand the long-term spatial and temporal variability of available solar resources. For these applications long-term annual or monthly irradiation sums together with accurate frequency distributions of solar irradiance are needed and provided with the help of satellite data (Cano et al. 1986;Beyer et al. 1996;Rigollier et al. 2004). However, short-and medium-term forecasts of the solar resource will remain essential to the plant's efficient operations and its integration into the electricity grid throughout its lifetime.It has to be noted that users from the nonconcentrating photovoltaic technology sector require a high global irradiance forecast accuracy. This can mainly be achieved through high cloud forecast accuracy, while aerosols are of only minor importance for this purpose. On the other hand, users from the CSP sector need a high DNI forecast accuracy especially in cloud-free cases with high DNI. Additionally, CSP users request a good forecast on the occurrence of low DNI cases-which refers mainly to a good water cloud mask forecast-and a good forecast of medium DNI cases-which refers to the cirrus cloud optical properties forecast. CSP technologies generally operate only in areas with high DNI and small cloud cover. Therefore, depending on the geographical region of interest and its vicinity to global aerosol sources, the priority is set either on good aerosol or cirrus forecasts. This paper focuses on the aerosol forecast accuracy, while assessing the requirements on cirrus clouds and the modeling capabilities in today's NWP would be a separate subject.C...

show abstract