설비공학논문집 (Korean Journal of Air-Conditioning and Refrigeration Engineering)

  • 제30권3호
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  • Pages.130-142
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  • 2018
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  • 1229-6422(pISSN)
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  • 2465-7611(eISSN)
대한설비공학회 (The Society of Air-Conditioning and Refrigerating Engineers of Korea)
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부하 대응 제어방식을 적용한 축열식 히트펌프시스템의 성능 해석

A Performance Analysis on a Heat pump with Thermal Storage Adopting Load Response Control Method

  • 김동준 (국민대학교 대학원 기계공학과) ;
  • 강병하 (국민대학교 기계공학부) ;
  • 장영수 (국민대학교 기계공학부)
  • Kim, Dong Jun (Department of Mechanical Engineering, Graduate School, Kookmin University) ;
  • Kang, Byung Ha (School of Mechanical Engineering, Kookmin University) ;
  • Chang, Young Soo (School of Mechanical Engineering, Kookmin University)
  • 투고 : 2017.11.27
  • 심사 : 2018.01.26
  • 발행 : 2018.03.10
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초록

We use heat pumps with thermal storage system to reduce peak usage of electric power during winters and summers. A heat pump stores thermal energy in a thermal storage tank during the night, to meet load requirements during the day. This system stabilizes the supply and demand of electric power; moreover by utilizing the inexpensive midnight electric power, thus making it cost effective. In this study, we propose a system wherein the thermal storage tank and heat pump are modeled using the TRNSYS, whereas the control simulations are performed by (i) conventional control methods (i.e., thermal storage priority method and heat pump priority method); (ii) region control method, which operates at the optimal part load ratio of the heat pump; (iii) load response control method, which minimizes operating cost responding to load; and (iv) dynamic programming method, which runs the system by following the minimum cost path. We observed that the electricity cost using the region control method, load response control approach, and dynamic programing method was lower compared to using conventional control techniques. According to the annual simulation results, the electricity cost utilizing the load response control method is 43% and 4.4% lower than those obtained by the conventional techniques. We can note that the result related to the power cost was similar to that obtained by the dynamic programming method based on the load prediction. We can, therefore, conclude that the load response control method turned out to be more advantageous when compared to the conventional techniques regarding power consumption and electricity costs.

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참고문헌

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