In a significant advancement for energy efficiency and sustainable technology, researchers have developed model-based optimal control (MC) strategies for water-to-water carbon dioxide (CO2) heat pumps, which promise to enhance their performance for domestic hot water use. This innovative study, led by Yantong Li from the Guangdong Provincial Key Laboratory of Multi-energy Complementary Distributed Energy Systems at Dongguan University of Technology, has the potential to reshape how we approach heating systems in residential settings.
CO2 heat pumps are already recognized for their environmental benefits, particularly their non-destructive impact on the ozone layer. However, the traditional control methods have limited their efficiency. The newly proposed model-based control system aims to optimize the operation of these heat pumps by maximizing their coefficient of performance (COP). This is achieved by fine-tuning critical parameters like discharge pressure and outlet water temperature at the gas cooler side.
“The results of our case studies indicate that the implementation of model-based control can enhance the system’s efficiency by 7.8% to 14.6% compared to typical control methods,” Li stated. This improvement not only signifies a leap in operational efficiency but also offers substantial cost savings for consumers and reduced energy consumption, aligning with global sustainability goals.
The research utilized extensive data from a virtual CO2 heat pump to establish reliable system models for compressor power and heat rate. These models were validated against experimental data, ensuring that the findings are grounded in practical application. The implications of this work extend beyond mere academic interest; they present a viable pathway for energy companies to enhance their offerings in the domestic heating market.
As the demand for efficient and eco-friendly heating solutions grows, this study published in ‘Case Studies in Thermal Engineering’ (translated from Chinese as “Case Studies in Thermal Engineering”) could serve as a critical reference point for manufacturers and energy providers looking to innovate. By adopting these model-based optimal control strategies, companies can not only improve their product performance but also contribute to a more sustainable energy future.
For more information about the research and its implications, you can explore the work of Yantong Li and his team at Dongguan University of Technology. As the energy sector continues to evolve, studies like this are paving the way for smarter, more efficient technologies that align with both consumer needs and environmental stewardship.
