PreFlexMS - Predictable Flexible Molten Salts Solar Power Plant
Horizon 2020
Ruolo DEIB: Partecipante
Data inizio: 01/06/2015
Durata: 36 mesi
Sommario
Predictability and flexibility are key enablers to increase CSP penetration in the energy mix by a) increasing dispatchability b) making CSP less/not reliant on subsidies c) supporting stable grid operation d) enabling operators to access new revenue streams (electricity trading, ancillary services).
Today CSP plants with molten salt storage only partly achieve these objectives.
Key enabling technologies to be demonstrated and introduced in the market are:
Towards 2. different approaches to DNI forecasting (direct; mesoscale models) will be integrated to extend geographical coverage and improve reliability.
Dispatch optimization under conditions of uncertainty (weather forecast) and perturbations (e.g. grid support requests) will be developed. Furthermore, automatic plant performance characterization by machine learning will be implemented to ensure a real optimum is achieved. For succesfull market introduction, a down-scale pilot will be realized. Here, integrated operation of once-through steam generator, weather forecast and dispatch optimization will be demonstrated. CSP will undergo large growth in developing markets, where grid constraints and market liberalization will play a role.
Developint these key-enabling technologies will put european industries in the position to compete at the forefront in the market worldwide.
Today CSP plants with molten salt storage only partly achieve these objectives.
Key enabling technologies to be demonstrated and introduced in the market are:
- design and operation of molten salt once-through steam generator – This will allow fully flexible plant operation;
- design and implementation of integrated weather forecasting and dispatch optimization – This will allow optimal management of the energy storage to maximize revenues while respecting constraints/commitments (e.g. to the grid).
Towards 2. different approaches to DNI forecasting (direct; mesoscale models) will be integrated to extend geographical coverage and improve reliability.
Dispatch optimization under conditions of uncertainty (weather forecast) and perturbations (e.g. grid support requests) will be developed. Furthermore, automatic plant performance characterization by machine learning will be implemented to ensure a real optimum is achieved. For succesfull market introduction, a down-scale pilot will be realized. Here, integrated operation of once-through steam generator, weather forecast and dispatch optimization will be demonstrated. CSP will undergo large growth in developing markets, where grid constraints and market liberalization will play a role.
Developint these key-enabling technologies will put european industries in the position to compete at the forefront in the market worldwide.
Risultati del progetto ed eventuali pubblicazioni scientifiche/brevetti
Dissemination material and public deliverables are available in the following attachments:
Brochure
Media Gallery
Press Releases
Publications
Brochure
Media Gallery
Press Releases
Publications