Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

OCoSEP

Financiado

Cerrado

Optimal Control of Solar Energy Plants

This POC will prove that coalitional Model Predictive Control (Co-MPC) can be implemented on the existing distributed control system (DCS) of a real commercial solar trough plant (50MW) and can significantly increase the amount o... ver más

31/03/2025

AICIA

150K€

Presupuesto del proyecto: 150K€

Líder del proyecto

ASOC. DE INVESTIGACION Y COOPERACION INDUSTRI... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 108K€

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-07-27

ERC-2023-POC: ERC PROOF OF CONCEPT GRANTS Objective:Objectives:The ERC Proof of Concept Grants aim at facilitating exploration of the commerci...

I+D

Cerrada hace 2 años

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

AICIA

150.00K€ | Lider

Proyectos interesantes

SMPCBCSG

Renewable Energ...

Software

178K€ Cerrado

DPI2010-21589-C05-01

Renewable Energ...

Data Science

203K€ Cerrado

DECADE

Renewable Energ...

Software

759K€ Cerrado

EUIN2017-86087

Renewable Energ...

Software

10K€ Cerrado

ODICON-ASMA

Software

Renewable Energ...

159K€ Cerrado

EINSTEIN

Software

Renewable Energ...

590K€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Duración del proyecto: 20 meses Fecha Inicio: 2023-07-27
Fecha Fin: 2025-03-31

Líder del proyecto

ASOC. DE INVESTIGACION Y COOPERACION INDUSTRI... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 108K€

Presupuesto del proyecto 150K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto This POC will prove that coalitional Model Predictive Control (Co-MPC) can be implemented on the existing distributed control system (DCS) of a real commercial solar trough plant (50MW) and can significantly increase the amount of solar energy collected and significantly reduce maintenance costs. This will be the first time that a Co-MPC is implemented in a real plant with so many dynamically interconnected subsystems (90). We have demonstrated that manipulating the loop HTF flows is fundamental for maximizing the collected solar energy in trough plants. The resulting MPC problem is too difficult to be solved with current control techniques because the number of dynamically coupled systems, up to 3200 collectors and 800 manipulated variables in the biggest solar trough plants and the complexity of the collector dynamics (nonlinear PDEs). The idea of Co-MPC is to divide the resulting complex MPC problem into several simpler MPC problems. Each of the MPC controls a coalition formed by a reduced number of subsystems. The coalitions are dynamically formed by clustering loops that can benefit from cooperation by exchanging the allocated oil flow (manipulated variable for each loop). This is done by using a market-based clustering MPC strategy in which controllers of collector loops (agents) may offer and demand heat transfer fluid in a market. Artificial neural networks will be used to approximate MPC controllers to decrease the computational load. We have shown that these techniques speed up the MPC computation time by a factor of 3000 allowing the implementation of coalitional MPC in the biggest solar trough plants. The PI has long experience in MPC control of solar energy systems and in the control of commercial solar trough plants having designed, implemented and commissioned MPC control systems for 17 commercial solar trough plants. A letter of support/intend of the industrial sponsor (one of the biggest stakeholders in Europe) is included.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores