Project description
The promise of latent heat thermal energy storage
Building energy consumption is on the rise globally, exacerbating the impending energy crisis and environmental catastrophe. Current predictions suggest a bleak future unless innovative solutions are found. However, the diminishing efficiency of district heating systems is not easy to reverse, particularly as they transition to lower operating temperatures for sustainability. With the support of Marie Skłodowska-Curie Actions, the PaCeInDH project will address this critical issue. It will pioneer latent heat thermal energy storage. Specifically, the project will deploy a hybrid agent-based model predictive control framework for unparalleled energy management in low-temperature district heating systems. With experiments and numerical investigations at its core, PaCeInDH paves the way for a resilient and economical low-temperature district heating.
Objective
Rapid escalation of building energy use has raised concerns all over the world, and existing predictions express that this increasing trend will aggravate energy crisis and serious environmental problem. The district heating (DH) system that incorporates renewables and the thermal energy storage component shows favorable prospects as a supplier to serve residential and commercial consumers for space heating and domestic hot water. The operation temperature of the DH system is becoming lower to achieve a more energy efficient, sustainable, and eco-efficient system. This trend results in the performance degradation of the thermal storage when integrating the water tank to the DH system, resulting in potential economic losses. Meanwhile, a large heat storage and released rate cannot be achieved for the water tank with the limited size under the low temperature operation conditions. Compared with sensible heat thermal energy storage, the latent heat thermal energy storage (LHTES) is advantaged by its use of phase-change materials (PCMs) with high energy storage density at a near-constant phase-change temperature. To enable an energy efficient low temperature DH system, an appropriate storage medium with great thermophysical properties and low cost will be selected. The technical viability and practical applicability of the entire heating system will be experimentally and numerically investigated. A hybrid agent-based model predictive control (MPC) framework will be further built as a promising solution to achieve an effective energy management for the low temperature DH combined LHTES system. It is projected that the energy and economic performance of the DH combined LHTES system could be guided by the agent-based MPC. The capability of the agent-based MPC for performance enhancement will be finally calibrated and evaluated, and high-quality experimental research will be conducted for the validation of this hybrid control method outputs.
                                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.
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                                Keywords
                                
                                    
                                    
                                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
                                        
                                    
                                
                            
                            
                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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                      Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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                  HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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                  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.
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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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(opens in new window) HORIZON-MSCA-2022-PF-01
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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.
7491 TRONDHEIM
Norway
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