한국지역사회생활과학회지 (The Korean Journal of Community Living Science)

  • 제27권2호
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  • Pages.281-294
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  • 2016
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  • 1229-8565(pISSN)
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  • 2287-5190(eISSN)
한국지역사회생활과학회 (The Korean Society of Community Living Science)
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OEMGD 알고리즘을 이용한 건물 냉난방용 최적 에너지 믹스 모델에 관한 연구 - 지열히트펌프와 지역냉난방 시스템을 중심으로

A Study on the Optimal Energy Mix Model in Buildings with OEMGD Algorithm Focusing on Ground Source Heat Pump and District Heating & Cooling System

  • 이기창 (한국산업기술대학교 지식기반기술.에너지대학원) ;
  • 홍준희 (가천대학교 에너지IT학과) ;
  • 이규건 (서정대학 인터넷 정보과)
  • Lee, Key Chang (Graduate school of knowledge-based technology & energy, Korea Polytechnic University) ;
  • Hong, Jun Hee (Dept. of Energy IT, Gachon University) ;
  • Lee, Kyu Keon (Dept. of Internet Information and Communication, Seojeong College)
  • 투고 : 2016.05.04
  • 심사 : 2016.05.24
  • 발행 : 2016.05.31
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초록

This study was conducted to promote consumer interest in Geothermal Heat Pump (Ground Source Heat Pump, GSHP) and district heating and cooling (District Heating & Cooling, DHC) systems, which are competing with each other in the heating and cooling field. Considering not only the required cost data of energy itself, but also external influence factors, the optimal mix ratio of these two energy systems was studied as follows. The quantitative data of the two energy systems was entered into a database and the non-quantitative factors of external influence were applied in the form of coefficients. Considering both of these factors, the optimal mix ratio of GSHP and DHC systems and minimum Life Cycle Cost (LCC) were obtained using an algorithm model design. The Optimal Energy Mix of GSHP & DHC (OEMGD) algorithm was developed using a software program (Octave 4.0). The numerical result was able to reflect the variety of external influence factors through the OEMGD algorithm. The OEMGD model found that the DHC system is more economical than the GSHP system and was able to represent the optimal energy mix ratio and LCC of mixed energy systems according to changes in the external influences. The OEMGD algorithm could be of help to improve the consumers' experience and rationalize their energy usage.

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참고문헌

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