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Energies 2016, 9(10), 849; doi:10.3390/en9100849

Study on the Optimum Design Method of Heat Source Systems with Heat Storage Using a Genetic Algorithm

Department of Architectural Engineering, Pusan National University, 2 Busandaehak-ro 63, Geomjeong-gu, Busan 609-735, Korea
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Academic Editor: Hossam A. Gabbar (Gaber)
Received: 1 August 2016 / Revised: 20 September 2016 / Accepted: 6 October 2016 / Published: 21 October 2016
(This article belongs to the Special Issue Energy Conservation in Infrastructures 2016)
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Abstract

Recently, a heat source system utilizing a heat storage tank for energy savings in buildings was designed. A heat storage tank is an effective system for solving the qualitative and quantitative differences in the required building energy. On the other hand, the existing design process of a heat storage system is difficult to determine if the air-conditioning time is unclear, and the design in a real-working level is too inaccurate, causing oversizing and a high initial investment cost. This results in inefficient operation despite the introduction of an efficient system. Therefore, this study proposes an optimal design method of a heat source system using a thermal storage tank. To demonstrate the usefulness of the proposed design method, feasibility studies were conducted with the existing system designs. As a result, the optimal solution could reduce the initial cost by approximately 25.6% when following the conventional design process and it was approximately 40% lower than the real-working method. In conclusion, the conventional designs are inefficiently over-designed and the optimal design solution is superior. In this regard, the suggested optimal design method is efficient when designing a heat source system using a thermal storage tank. View Full-Text
Keywords: optimization; design method; heat source system; genetic algorithm; thermal storage tank optimization; design method; heat source system; genetic algorithm; thermal storage tank
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Yu, M.G.; Nam, Y. Study on the Optimum Design Method of Heat Source Systems with Heat Storage Using a Genetic Algorithm. Energies 2016, 9, 849.

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