Abstract
A gap has been identified regarding the impact that using radiation data models have when modelling large-scale solar thermal systems integrated in district heating (DH) systems. Therefore, it is analysed how using satellite-based radiation data models (SARAH), reanalysis models (CFSR, ERA and MERRA2) and other data models (Danish Reference Year) affect the modelling of these systems. Taking three plants in Denmark as study cases, the measured radiation between 2016 and 2019 is compared.Using energyPRO-based mathematical models of the systems, heat outputs are calculated and compared with measured data. Moreover, the yearly DH plant operational cost is calculated to observe the economic impact of using inaccurate models. It is found that heat production assessments based on the SARAH model show a better agreement with measured data than the reanalysis-based ERA5, MERRA2 and CFSR respectively. The empirically-based DRY shows low errors when observing its yearly values but has a higher inaccuracy on the hourly level,providing inaccurate operation profiles of the plant.Additionally, the satellite-based solar data model SARAH is further analysed to identify patterns of its inaccuracy. After comparing it with 18 locations in Denmark using month-hourly profiles, no errors trend can be identified, proving the robustness of the model.
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