Skip to main content

Predictable Flexible Molten Salts Solar Power Plant

Deliverables

Report on machine learning algorithms

The report describes machine learning algorithms: to obtain appropriate parameters for the model (task 3.3.2), to formulate a new model (task 3.3.5). A methodology regarding the choice of the proper machine learning algorithm is also given. Amendment 2016: The shift is in order to align D3.5 with task 3.3.2. The alignment is necessary since results of task 3.3.2 will become part of D3.5. The amendment does not influence any other tasks or deliverables.

Validation sites

Three typical locations for CSP power plants, but different with respect to their weather characteristics are chosen – the report provides the site assessment results and methodology.

Communication tools (project identity set, poster, first release of the regularly updated website)

The aim of this deliverable is provide all those tools that the project needs to achieve fluid communication, both among PreFlexMS partners and to potential stakeholders, and as well as a high impact of its results. So, it includes the design of the project image aspects, like logos, templates, posters or videos and the project web site. This web site will serve to vertebrate the communication and dissemination flow, to share internal information and to link the project with partners and external interests.

Deterministic and probabilistic weather forecasting in PreFlexMS

Describe set-up and model characteristics of both deterministic and probabilistic weather forecasting at AEMET.

Integration of aerosol forecasts

Describe method and results on the inclusion of aerosol forecasts.

Electricity Pricing Scenarios for predictable and flexible CSP

Projections in market pricing scenarios likely to occur in the most important markets where large scale CSP would be deployed taking into account incentives or demands by local grid operators. These are displayed as electricity prices vs time of day for a variety of markets.

Report on formal model

The report describes formal knowledge representation of the performance model. It provides its capabilities and expressive power. It includes parametrization and further extension guidelines. Amendment 2016: The shift is in order to align D3.4 with task 3.3.1. The alignment is necessary since results of task 3.3.1 will become part of D3.4. The amendment does not influence any other tasks or deliverables.

Post-processing for deterministic and probabilistic weather forecasting in PreFlexMS

Describe set-up and characteristics of the post-processing for both deterministic and probabilistic weather forecasting at CENER.

Searching for OpenAIRE data...

Publications

Weather forecasting and Dispatch requirements for predictable and flexbile Molten Salt CSP plants of the future

Author(s): Vipluv Aga, Konstantin Bubolz, Tobias Hirsch , Martin Gasto , Marion Schroedter-Homscheidt
Published in: Issue 11-14 Oct 2016, 2016

Numerical optimization of the start-up phase of a Concentrated Solar Power plant

Author(s): Andrea Manno, Edoardo Amaldi, Francesco Casella, Emanuele Martelli, Stefano Trabucchi
Published in: Proceedings of the bi-annual congress of the Italian Society of Industrial and Applied Mathematics SIMAI 2016, Issue 13-16 Sep 2016, 2016

Dynamic analysis and control of a Once Through Steam Generator for a Concentrated Solar Power plant

Author(s): Tommaso Maioli
Published in: 2016

Model Predictive Control for the Flexible Operation of a Once-Through Steam Generator for Solar Applications

Author(s): Francesco Pontoriero
Published in: 2016

Preliminary Analysis of the PreFlexMS Molten Salt Once-Through Steam Generator Dynamics and Control Strategy

Author(s): Stefano Trabucchi, Francesco Casella, Tommaso Maioli, Cristina Elsido, Davide Franzini, Mathieu Ramond
Published in: Proceedings of SolarPACES2016, Issue 11-14 Oct 2016, 2016

Gamma-SREPS: AEMET New Mesoscale Ensemble Prediction System for Solar Radiation Fluxes Probabilistic Forecasts

Author(s): A. Manzano, A. Martín, A. Callado, M. Compte, P. Escriba, J. A. García-Moya, J. Rodríguez, C. Santos
Published in: Proceedings of the SolarPaces Conference 2016, 2017

Methoden zur Nutzung meteorologischer Vorhersageunsicherheiten für die Betriebsoptimierung eines solarthermischen Kraftwerks

Author(s): Bubolz, Konstantin; Hirsch, Tobias; Schroedter-Homscheidt, Marion
Published in: 2016

Sustainability Assessment of Concentrated Solar Power (CSP) Tower Plants – Integrating LCA, LCC and LCWE in One Framework

Author(s): Nathanael Ko, Manuel Lorenz, Rafael Horn, Hannes Krieg, Michael Baumann
Published in: 25th CIRP Life Cycle Engineering (LCE) Conference, 30 April – 2 May 2018, Copenhagen, Denmark, Issue Manuscript Number: PROCIR-D-17-00310R5, 2018, Page(s) 6

LCA-BASED CALCULATION OF THE ADDED VALUE OF PRODUCTS: CASE STUDY OF A CONCENTRATED SOLAR POWER PLANT

Author(s): Nathanael Ko, Eva Knüpffer, Friederike Schlegl, Rafael Horn, Hannes Krieg
Published in: 12th International Conference on Society & Materials, SAM12, Metz, 22-23 May 2018, Issue 22-23 May 2018, 2020, Page(s) 8

Life cycle assessment (LCA) of solar thermal tower power plants

Author(s): Manuel Lorenz, Nathanael Ko, Eva Knüpffer, and Michael Baumann
Published in: Matériaux & Techniques, Issue Volume 105, Number 5-6, 2017 Society and Materials (SAM11) Article Number 514, 2017, Page(s) 8