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Energies 2017, 10(12), 2020; https://doi.org/10.3390/en10122020

Investigation of Heat Pump Operation Strategies with Thermal Storage in Heating Conditions

1
Department of Mechanical Engineering, Graduate School, Kookmin University, Seoul 02707, Korea
2
School of Mechanical Engineering, Kookmin University, Seoul 20707, Korea
*
Author to whom correspondence should be addressed.
Received: 29 October 2017 / Revised: 24 November 2017 / Accepted: 28 November 2017 / Published: 1 December 2017
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Abstract

A heat pump with thermal storage system is a system that operates a heat pump during nighttime using inexpensive electricity; during this time, the generated thermal energy is stored in a thermal storage tank. The stored thermal energy is used by the heat pump during daytime. Based on a model of a dual latent thermal storage tank and a heat pump, this study conducts control simulations using both conventional and advanced methods for heating in a building. Conventional methods include the thermal storage priority method and the heat pump priority method, while advanced approaches include the region control method and the dynamic programming method. The heating load required for an office building is identified using TRNSYS (Transient system simulation), used for simulations of various control methods. The thermal storage priority method shows a low coefficient of performance (COP), while the heat pump priority method leads to high electricity costs due to the low use of thermal storage. In contrast, electricity costs are lower for the region control method, which operates using the optimal part load ratio of the heat pump, and for dynamic programming, which operates the system by following the minimum cost path. According to simulation results for the winter season, the electricity costs using the dynamic programming method are 17% and 9% lower than those of the heat pump priority and thermal storage priority methods, respectively. The region control method shows results similar to the dynamic programming method with respect to electricity costs. In conclusion, advanced control methods are proven to have advantages over conventional methods in terms of power consumption and electricity costs. View Full-Text
Keywords: thermal storage; heat pump; heating; performance analysis; control method; dynamic programming thermal storage; heat pump; heating; performance analysis; control method; dynamic programming
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Jung, W.; Kim, D.; Kang, B.H.; Chang, Y.S. Investigation of Heat Pump Operation Strategies with Thermal Storage in Heating Conditions. Energies 2017, 10, 2020.

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