Optimal Capacity Determination of Hydrogen Fuel Cell Technology Based Trigeneration System And Prediction of Semi-closed Greenhouse Dynamic Energy Loads Using Building Energy Simulation

Seung-Hun Lee; Rack-Woo Kim; Chan-Min Kim; Hee-Woong Seok; Sungwook Yoon

doi:10.12791/KSBEC.2023.32.3.181

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2023 Vol.32, Issue 3 Next Page

Original Articles

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

31 July 2023. pp. 181-189

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Abstract

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.

Keywords

building energy simulation (BES)

crop energy

greenhouse

heating and cooling load

수소는 다양한 신재생에너지 중 환경친화적인 에너지로 각광받고 있지만 농업에 적용된 사례는 드물다. 본 연구는 수소연료전지 삼중 열병합 시스템을 온실에 적용하여 에너지를 절약하고 온실가스를 줄이고자 한다. 이 시스템은 배출된 열을 회수하면서 수소로부터 난방, 냉각 및 전기를 생산할 수 있다. 수소 연료 전지 삼중 열 병합 시스템을 온실에 적용하기 위해서는 온실의 냉난방 부하 분석이 필요하다. 이를 위해서는 온실의 형태, 냉난방 시스템, 작물 등을 고려해야 한다. 따라서 본 연구에서는 건물 에너지 시뮬레이션(BES)을 활용하여 냉난방 부하를 추정하고자 한다. 전주지역의 토마토를 재배하는 반밀폐형 온실을 대상으로 2012년부터 2021년까지의 기상데이터를 수집하여 분석했다. 온실 설계도를 참고하여 피복재와 골조를 모델화하여 작물 에너지와 토양 에너지 교환을 실시했다. 건물 에너지 시뮬레이션의 유효성을 검증하기 위해 작물의 유무에 의한 분석, 정적 에너지 및 동적 에너지 분석을 실시했다. 또한 월별 최대 냉난방 부하 분석에 의해 평균 최대 난방 용량 449,578kJ·h^-1, 냉방 용량 431,187kJ·h^-1이 산정되었다.

키워드

TRNSYS

냉난방용량

동적 에너지

토마토

토양에너지

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Information

Publisher :The Korean Society for Bio-Environment Control
Publisher(Ko) :(사)한국생물환경조절학회
Journal Title :Journal of Bio-Environment Control
Journal Title(Ko) :생물환경조절학회지
Volume : 32
No :3
Pages :181-189
Received Date : 2023-04-06
Revised Date : 2023-04-26
Accepted Date : 2023-06-01
DOI :https://doi.org/10.12791/KSBEC.2023.32.3.181

Journal of Bio-Environment Control 생물환경조절학회지 ISSN:1229-4675(Print) 2765-3641(Online)

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