• Title/Summary/Keyword: 삼중 병합생산 시스템

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Thermodynamic Performance Characterictics of a Tri-Cogeneration System Based on Kalina Cycle Driven by Renewable Energy (신재생에너지로 구동되는 칼리나 사이클 기반 삼중 병합 생산 시스템의 열역학적 성능 특성)

  • HAN, CHUL HO;KIM, KYOUNG HOON;JUNG, YOUNG GUAN
    • Transactions of the Korean hydrogen and new energy society
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    • v.32 no.6
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    • pp.649-655
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    • 2021
  • The recently proposed Kalina based power and cooling cogeneration cycles (KPCCCs) have shown improvement in the energy utilization of the system compared to the basic Kalina cycle. This paper suggests a combined tri-cogeneration system for power, heating and cooling based on the Kalina cycle. And thermodynamic performances of the suggested system based on the first and second thermodynamic laws are parametrically investigated with respect to the ammonia mass fraction and the boiler pressure. Results showed that the thermodynamic performance of the system could be greatly improved compared to the former KPCCCs.

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
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    • v.32 no.3
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    • pp.181-189
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    • 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.