• Title/Summary/Keyword: 샌재생에너지

Search Result 2, Processing Time 0.018 seconds

The Energy Performance Evaluation of Multi-purpose Solar Window System (다기능 복합 솔라윈도우 시스템의 에너지성능평가)

  • Cho, Yil-Sik;Kim, Byoung-Soo
    • Journal of the Korean Solar Energy Society
    • /
    • v.30 no.3
    • /
    • pp.10-15
    • /
    • 2010
  • The aim of this study was to analysis the Heating/cooling performance of Solar Window System built in apartments. The solar window is the idea to integrate daylight as a third form of solar energy into a PV/Solar Collector system and allows more control due to the possibility to close the reflectors. However, there can be a conflict between the desire for on one hand daylight and view and on the other hand optimal energy conversion for the PV/Solar Collector system. The process of this study is as follows: 1) The Solar Window system is designed through the investigation of previous paper and work. 2)The simulation program(ESP-r, Therm5.0, Window6.0) was used in energy performance analysis. The reference model of simulation was made up to analysis energy performance on Solar Window system. 3)Selected reference model(Floors:15, Area of Unit:$148.5m^2$) for heating/cooling energy analysis, Energy performance simulation with various variants, such as U-value of Solar Window system according to its position and angle. Consequently, When Solar Window system is equipped with balcony window of Apartment, Annual heating and cooling energy of reference model was cut down about 5%~11%.

The Energy Performance & Economy Efficiency Evaluation of Micro Gas Turbine Installed in Hospital (대형병원 건물에 마이크로 가스터빈 적용을 위한 에너지성능 및 경제성 평가)

  • Kim, Byoung-Soo;Hong, Won-Pyo
    • Journal of the Korean Solar Energy Society
    • /
    • v.29 no.5
    • /
    • pp.8-13
    • /
    • 2009
  • Feasibilities of the application of a micro gas turbine cogeneration system to a large size hospital building are studied by estimating energy demands and supplies. The energy demand for electricity is estimated by surveying and sorting the consumption records for various equipment and devices. The cooling heating, and hot water demands are further refined with TRNSYS and ESP-r to generate load profiles for the subsequent operation simulations. The operation of the suggested cogeneration system in conjunction with the load data is simulated for a time span of a year to predict energy consumption and gain profile. The simulation revealed that the thermal efficiency of the gas turbine is about 30% and it supplies 60% of the electricity required by the building. The recovered heat can meet 56% of total heating load and 67% of cooling, and the combined efficiency reaches up to 70%.