• Title/Summary/Keyword: 냉난방에너지

Search Result 448, Processing Time 0.024 seconds

하수이용 냉난방시스템 적용사례

  • Kim, Si-Heon
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
    • /
    • v.40 no.8
    • /
    • pp.21-36
    • /
    • 2011
  • 온도차에너지원인 하수를 이용, 하수관에 열교환기를 설치하고, 히트펌프를 이용하여 급탕 및 냉난방 시스템을 설치한 업무용 건물의 사례를 소개하고자 한다.

  • PDF

Optimal Capacity Determination of Hydrogen Fuel Cell Technology Based Trigeneration System And Prediction of Semi-closed Greenhouse Dynamic Energy Loads Using Building Energy Simulation (건물 에너지 시뮬레이션을 이용한 반밀폐형 온실의 동적 에너지 부하 예측 및 수소연료전지 3중 열병합 시스템 적정 용량 산정)

  • Seung-Hun Lee;Rack-Woo Kim;Chan-Min Kim;Hee-Woong Seok;Sungwook Yoon
    • Journal of Bio-Environment Control
    • /
    • v.32 no.3
    • /
    • pp.181-189
    • /
    • 2023
  • Hydrogen has gained attention as an environmentally friendly energy source among various renewable options, however, its application in agriculture remains limited. This study aims to apply the hydrogen fuel cell triple heat-combining system, originally not designed for greenhouses, to greenhouses in order to save energy and reduce greenhouse gas emissions. This system can produce heating, cooling, and electricity from hydrogen while recovering waste heat. To implement a hydrogen fuel cell triple heat-combining system in a greenhouse, it is crucial to evaluate the greenhouse's heating and cooling load. Accurate analysis of these loads requires considering factors such as greenhouse configuration, existing heating and cooling systems, and specific crop types being cultivated. Consequently, this study aimed to estimate the cooling and heating load using building energy simulation (BES). This study collected and analyzed meteorological data from 2012 to 2021 for semi-enclosed greenhouses cultivating tomatoes in Jeonju City. The covering material and framework were modeled based on the greenhouse design, and crop energy and soil energy were taken into account. To verify the effectiveness of the building energy simulation, we conducted analyses with and without crops, as well as static and dynamic energy analyses. Furthermore, we calculated the average maximum heating capacity of 449,578 kJ·h-1 and the average cooling capacity of 431,187 kJ·h-1 from the monthly maximum cooling and heating load analyses.