Abstract
In yield analysis and plant design of concentrated solar power (CSP) tower plants, increased uncertainties are caused by the mostly unknown solar attenuation between the concentrating heliostat field and the receiver on top of the tower. This attenuation is caused mainly by aerosol particles and water vapor. Various on-site measurement methods of atmospheric extinction in solar tower plants have been developed during recent years, but during resource assessment for distinct tower plant projects in-situ measurement data sets are typically not available. To overcome this lack of information, a transmittance model (TM) has been previously developed and enhanced by the authors to derive the atmospheric transmittance between a heliostat and receiver on the basis of common direct normal irradiance (DNI), temperature, relative humidity and barometric pressure measurements. Previously the model was only tested at one site. In this manuscript, the enhanced TM is validated for three sites (CIEMAT’s Plataforma Solar de Almería (PSA), Spain, Missour, Morocco (MIS) and Zagora, Morocco (ZAG)). As the strongest assumption in the TM is the vertical aerosol particle profile, three different approaches to describe the vertical profile are tested in the TM. One approach assumes a homogeneous aerosol profile up to 1 kilometer above ground, the second approach is based on LIVAS profiles obtained from Lidar measurements and the third approach uses boundary layer height (BLH) data of the European Centre for Medium-Range Weather Forecasts (ECMWF). The derived broadband transmittance for a slant range of 1 km ( T 1 k m ) time series is compared with a reference data set of on-site absorption- and broadband corrected T 1 k m derived from meteorological optical range (MOR) measurements for the temporal period between January 2015 and November 2017. The absolute mean bias error (MBE) for the TM’s T 1 k m using the three different aerosol profiles lies below 5% except for ZAG and one profile assumption. The MBE is close to 0 for PSA and MIS assuming a homogeneous extinction coefficient up to 1 km above ground. The root mean square error (RMSE) is around 5–6% for PSA and ZAG and around 7–8% for MIS. The TM performs better during summer months, during which more data points have been evaluated. This validation proves the applicability of the transmittance model for resource assessment at various sites. It enables the identification of a clear site with high T 1 k m with a high accuracy and provides an estimation of the T 1 k m for hazy sites. Thus it facilitates the decision if on-site extinction measurements are necessary. The model can be used to improve the accuracy of yield analysis of tower plants and allows the site adapted design.
Highlights
concentrated solar power (CSP) will play a strong role in the Middle East and North Africa region’s electricity market and especially in Morocco in the future ([1])
The boundary layer height (BLH) of European Centre for Medium-Range Weather Forecasts (ECMWF) ([29,37,38]) is analyzed to evaluate if this parameter can be used to approximate the height until which the extinction coefficient is homogeneous and no aerosol particles can be found above this height
mean bias error (MBE) and root mean square error (RMSE) are increasing if the homogeneous extinction coefficient in the lowest layer above ground is scaled with the site- and time-dependent BLH data set
Summary
CSP (concentrated solar power) will play a strong role in the Middle East and North Africa region’s electricity market and especially in Morocco in the future ([1]). In concentrated solar tower plants, the radiation which is reflected by the heliostat field is partially lost on its way to the central receiver due to atmospheric extinction. This effect on the plant yield varies with the actual aerosol and water vapor load at a certain site and the plant yield can be reduced significantly, especially at arid sites. [18] analyzed the inter annual variability of aerosol optical depth (AOD) and irradiance in Quarzazate (Morocco) and its influence on the characterization of extinction conditions for a certain site. The results of the validation and its discussion are presented In Sections 4 and 5 the main conclusions about the validation are summarized
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