
Solargis
Solargis
2 Projects, page 1 of 1
Open Access Mandate for Publications assignment_turned_in Project2015 - 2018Partners:EPM PWS Poland, ALSTOM Power, Solargis, S.T.F. SALVATORE TRIFONE E FIGLI SPA, ALSTOM Renewable (Switzerland) Ltd +23 partnersEPM PWS Poland,ALSTOM Power,Solargis,S.T.F. SALVATORE TRIFONE E FIGLI SPA,ALSTOM Renewable (Switzerland) Ltd,CENTRO NACIONAL DE ENERGIAS RENOVABLES CENER,ESE SRL,AMC TECH SPOLKA Z OGRANICZONAODPOWIEDZIALNOSCIA,DLR,AEMET,GENERAL ELECTRIC (SWITZERLAND) GMBH,S.T.F. SALVATORE TRIFONE E FIGLI SPA,ECS,Jagiellonian University,University of Stuttgart,University of Évora,AGH / AGH-UST,ECS,CENTRO NACIONAL DE ENERGIAS RENOVABLES CENER,EPM PWS Poland,ALSTOM Renewable (Switzerland) Ltd,AEMET,Polytechnic University of Milan,Solargis,GENERAL ELECTRIC (SWITZERLAND) GMBH,ALSTOM Power,AMC TECH SPOLKA Z OGRANICZONAODPOWIEDZIALNOSCIA,ESE SRLFunder: European Commission Project Code: 654984Overall Budget: 17,688,600 EURFunder Contribution: 14,362,200 EURPredictability 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 1) design and operation of molten salt once-through steam generator – This will allow fully flexible plant operation; 2) 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 1), an innovative design approach is proposed, integrating process and equipment design with dynamic simulation of the system. Proven technologies in separate fields (molten salt ; once-through steam generator ; optimum control) will be for the first time integrated and demonstrated. 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.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2024Partners:CEGASA ENERGIA S.L.U., CYTHELIA ENERGY, Next Kraftwerke Belgium BVBA, LUT, GALP ENERGIA SA +35 partnersCEGASA ENERGIA S.L.U.,CYTHELIA ENERGY,Next Kraftwerke Belgium BVBA,LUT,GALP ENERGIA SA,COBRA INSTALACIONES Y SERVICIOS S.A,SOLARMAX SALES AND SERVICE GMBH,QPV,Solargis,Hochschule Ulm,SOLARMAX SALES AND SERVICE GMBH,FHG,BECQUEREL INSTITUTE,QPV,INGETEAM,WIP,AKUO ENERGY SAS,INGETEAM,TECNALIA,MYLIGHT SYSTEMS,WIP,LUCISUN,CNR,LETI,AKUO ENERGY SAS,TECNALIA,COBRA INSTALACIONES Y SERVICIOS S.A,Solargis,MYLIGHT SYSTEMS,CEGASA ENERGIA S.L.U.,WIRTSCHAFTSAGENTUR BURGENLAND FORSCHUNGS- UND INNOVATIONS GMBH,LUT,Next Kraftwerke Belgium BVBA,ENERGIE GUSSING GMBH,ENERGIE GUSSING GMBH,Galp Energia,İYTE,WIRTSCHAFTSAGENTUR BURGENLAND FORSCHUNGS- UND INNOVATIONS GMBH,CYTHELIA ENERGY,LUCISUNFunder: European Commission Project Code: 953016Overall Budget: 12,305,400 EURFunder Contribution: 9,779,150 EURSERENDI-PV proposes innovations towards two main pillars: (1) increased lifetime, reliability, performance and profitability of PV generation; (2) utility-friendly high-penetration of the PV generation in the grids with improved stability, smart communication between stakeholders and increased knowledge of the PV fleet management. SERENDI-PV will develop advanced PV modelling, simulation and design tools, monitoring data analytics for fault diagnostic and improved O&M, as well as lab and field testing Quality Control (QC) equipment and procedures for better assessment of the reliability of PV components and systems. The innovations will be developed with particular attention to the new PV applications that are becoming increasingly relevant on the market, such as bifacial PV, floating PV and BIPV. SERENDI-PV will pave the way towards higher PV penetration through a better understanding of the PV installed capacity, smart digital models for energy and services communication exchange between system stakeholders, the development of mid-term, short-term forecasting, and nowcasting for PV system aggregations, new business models for PV added revenue, and the creation of a collaborative platform for modelling, data analytics, QC, databases and grid integration. The solutions will be developed on the data from nearly 500,000 PV installations monitored within the consortium, representing a wide range of system sizes and typologies, including large ground-mounted PV plants, mid-size commercial and industrial PV systems, and small-scale rooftop residential PV systems. The results will be achieved through an interdisciplinary approach combining the complementary expertise of the 19 different partners that take part in the consortium and that represent all the relevant stakeholders concerned by the topic of this project. The project will include several key demonstration activities in the operational environment corresponding to each one of the key innovations proposed
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