Research output per year
Research output per year
Project Details
Description
OPTIMESH responds to the needs of the thermal grid industry (1) through an innovative roll-out methodology for modern
heating and cooling networks exploring, designing, monitoring and managing thermal networks in a multi-energy
context and (2) through new technologies for the next generation of such networks (6th generation multi-energy
net) including multi-agent strategies of artificial intelligence for energy trading between prosumers, digital twins
of buildings and their substations, and tools and measurements for the design and operation of such a network. The valorisation
of the new methodology and technologies developed in OPTIMESH will be supported by different case
studies, including one in a living lab.
heating and cooling networks exploring, designing, monitoring and managing thermal networks in a multi-energy
context and (2) through new technologies for the next generation of such networks (6th generation multi-energy
net) including multi-agent strategies of artificial intelligence for energy trading between prosumers, digital twins
of buildings and their substations, and tools and measurements for the design and operation of such a network. The valorisation
of the new methodology and technologies developed in OPTIMESH will be supported by different case
studies, including one in a living lab.
| Acronym | VLAFLX7 |
|---|---|
| Status | Active |
| Effective start/end date | 1/04/22 → 30/09/25 |
Keywords
- thermal grid
Flemish discipline codes in use since 2023
- Thermodynamic processes
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Design and operational optimization of thermal networks: A robust approach under energy market uncertainty
Chaudhry, AM., 2025, 231 p.Research output: Thesis › PhD Thesis
Open AccessFile13 Downloads (Pure) -
Enhancing operational optimization of district heating substations through refined estimations of network campus buildings heat demands to achieve a low return from the network
Chaudhry, AM., Delvaux, M. P., Csurcsia, P. Z., Chicherin, S. V., Hachez, J. & Bram, S., 15 Jun 2024, In: Energy and Buildings. 313, 114241, p. 1-17 17 p., 114241.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Improving the potential of fifth-generation district heating and cooling networks through robust design and operational optimization under future energy market and demand uncertainties
Chaudhry, A. M., Ghorbaniasl, G., Hachez, J., Chicherin, S. & Bram, S., 15 Dec 2024, In: Energy and Buildings. 325, p. 1-21 21 p., 114998.Research output: Contribution to journal › Article › peer-review
Datasets
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Code for "Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems" paper
Ruddick, J. J. (Creator), Ceusters, G. (Creator), Genov, E. (Creator) & Van Kriekinge, G. (Creator), GitHub, 5 Aug 2024
https://github.com/EVERGi/real_validation_saferl_treec_paper/
Dataset