Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences mathematics pure mathematics mathematical analysis differential equations partial differential equations
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2023-POC
See all projects funded under this callHost institution
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
41092 Sevilla
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.