ROCOCO2HP · Real-time optimal control of the CO2 heat pump system for residential use
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2020-03-01 → 2022-05-31
- EU contribution
- €202,159
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Real-time optimal control of the CO2 heat pump system for residential use
The project aim was to enable proper operation and high performance of a CO2 heat pump for residential heating. To achieve the project aims, this project focused on the following scientific objectives: - Establish data-driven model and simulation platform for the CO2 heat pump system; - Understand the CO2 heat pump performance to enable their improvements; - Suggest design and operational improvements of the CO2 heat pump for residential heating to enable continual high performance through operation. Heating of residential building is taking a significant share in total building energy use internationally. In many countries, building heating is solved by use of fossil fuels. In our project, the idea was to show how an environmentally friendly solution, CO2 heat pump, could be used for space heating and domestic hot tap water heating. In general, the idea was to show how to increase the CO2 heat pump performance by optimizing interaction with the building heating system. This work is important for the society because it will encourage faster acceptance of the CO2 heat pump for residential heating systems. The overall objective was to estimate CO2 heat pump performance when integrated with the building heating system and to implement reliable controllers to encourage the overall energy performance of the system.
Data: CORDIS, © European Union
Project objective
The aim of this project is to develop efficient real-time optimal control (RTOC) for the carbon dioxide (CO2) heat pump as a part of a building energy supply system and validate its reliability experimentally. This is necessary to increase the system efficiency. For a high system efficiency with CO2 heat pumps for heating purpose, a low water return temperature from building heating systems is crucially important. However, this is still difficult to achieve due to well-established heating solutions and control strategies that are not suitable for CO2 heat pumps. CO2 is considered as one natural refrigerant, which has the merit of nonflammability, non-toxicity, and low price when compared with traditional refrigerants. Current well-functioning control methods are developed for heat pumps based on HFCs. Current RTOCs have the disadvantage of large computational load, which makes them difficult to operate with real building energy systems. Furthermore, experimental validations for the developed RTOC cannot be conducted due to lack of advanced experimental conditions. A reliable and experimental-validated RTOC for CO2 heat pump systems is urgently needed. This project will be developed by combining my scientific expertise on RTOCs with advanced experimental conditions with the CO2 heat pump for residential heating use at the host laboratory. Model-based predictive control (MPC) will be used to develop the RTOC. Machine learning methods will be used to develop the non-linear system model. Further, the RTOC with multiplexed optimization strategy (MOS) will be implemented in simulation environment. After the reliability of the developed RTOC in simulation environment is validated, the RTOC will be tested in experimental conditions. Finally, the reliability of the developed RTOC will be validated in experimental conditions. This project will bring new knowledge and theories to develop the RTOC for CO2 heat pump systems and will help me become an independent researcher.
Original text from CORDIS.
Participants
- NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU · TrondheimCoordinatorNorway
Links
Data: CORDIS, © European Union