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Austria: Results of 40 Monitored, Non-Residential Projects

Submitted by Baerbel Epp on July 29, 2015

The sixth invitation to tender for large-scale solar thermal systems in Austria is still accepting applications until 24 September. The Austrian Climate and Energy Fund has again allocated a budget of EUR 5.9 million for installing collector fields of between 100 and 2,000 m2 for process heat, district heating, solar cooling, systems with high solar coverage above 20 % in trade and business and innovative technologies. The subsidy covers 40 % of the additional, environmentally relevant costs of the installation and grants a 5 % bonus for small and medium enterprises. As in the past, applicants must consult with experts from one of the three selected Austrian research institutes before submitting their proposal. Over the first five years, the Austrian Climate and Energy Fund spent EUR 17,258,324 on 163 projects. The pie chart shows the distribution of the 163 approved projects broken down by application.
Figure: Austrian Climate and Energy Fund

IEA SHC Task 46: Solar Irradiation Data Helps Schedule and Operate Solar Thermal Plants

Submitted by Baerbel Epp on April 19, 2015
Irradiation ChartIEA SHC Task 46, Solar Resource Assessment and Forecasting, is an SHC project conducted in cooperation with IEA’s SolarPACES for Concentrating Solar Power and the Photovoltaic Power Systems programme. Accurate assessment and forecasting of solar irradiation is a key issue in planning and operating solar electricity and solar thermal plants. Task 46 has been evaluating various forecasting models and standardisation procedures for irradiation measurement, for example, regarding detail and accuracy. Numerical Weather Prediction and cloud models based on satellite images (CM-sat) with their up-to hourly resolution are detailed enough for rough estimates of solar generation capacities within the next hours and days. Grid integration and power plant control, however, require algorithms based on CM-SI (Cloud Models based on Sky Imaging) time-series modelling to forecast irradiation seconds or a few hours away (see figure on the left). 
Figure: University Oldenburg

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