Vipluv Aga,Konstantin Bubolz, Tobias Hirsch, Martin Gaston, Marion Schroedter-Homscheidt
Type of presentation
WP2: Business plan development and overall economic assessment
WP3: Dispatch optimization and machine learning
WP4: Weather forecasting and measurement for renewable energy predictability
The majority of concentrated solar power plants with molten salt storage which are operated today were designed to operate through the economic incentives, in a base-load type operation with a flat tariff to account for the introductory higher cost compared to conventional power plants. The strategy could be summarized as trying to collect as much solar energy and produce electricity at full load until the storage lasts. However, in the coming years, regulators would reduce flat tariffs incentives and require CSP plants to improve the ‘timing’ of the production according to the local demand. On the other hand, grid operators would desire the increased quality of production that is possible through good reserve forecasting and provision of responsive grid services. Finally, the plant operators would want to ensure the plant has enough features that allow them to take advantage of as many varied revenue streams as possible. These could be achieved through hardware and software developments for CSP plants. The PreFlexMS project, funded by the Horizon 2020 program of the EU aims to develop weather forecasting and dispatch optimization capabilities that can enable the predictable and flexible CSP plants of the future.
|ABSTRACT: Weather Forecasting and Dispatch Requirements for Predictable and Flexible Molten Salt CSP plants of the future||Download|
|POSTER: Weather Forecasting and Dispatch Requirements for Predictable and Flexible Molten Salt CSP plants of the future||Download|