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Adaptive model control of residential solar-air hybrid heat pump water heating system.

Number: 3150

Author(s) : ZHAO Z., WANG B.

Summary

With the increasing adoption of renewable energy in the power grid, the future of building energy systems is transitioning toward a distributed, multi-source energy framework. To significantly alleviate strain on the power grid and enhance the integration of renewable energy sources, it is important to optimize the use of energy storage and leverage the thermal mass of building structures. Notably, heating and cooling needs account for over 30% of a building's energy consumption. To realize decarbonization, this paper proposed a residential solar-air hybrid heat pumps water heating system. An adaptive model predictive control is used to control it performance. An online updated modeling method, based on the simplification of the physical mechanism model and the incorporation of real-time data updates, is adopted to enhance the accuracy and adaptability of the model predictive control, thereby improving optimization outcomes. As a result, the developed model predictive controller consistently demonstrates 17.8% energy saving and 31.9% cost savings when compared to conventional rule-based control strategies.

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Pages: 8 p.

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  • Original title: Adaptive model control of residential solar-air hybrid heat pump water heating system.
  • Record ID : 30032967
  • Languages: English
  • Source: 2024 Purdue Conferences. 8th International High Performance Buildings Conference at Purdue.
  • Publication date: 2024/07/15

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