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A Study on the Optimization of New Renewable Energy Systems in Public-Purpose Facilities

공공용 업무시설의 신재생에너지시스템 최적화 연구

  • Lee, Yong-Ho (School of Architecture & Civil Engineering, Kyungpook National University) ;
  • Seo, Sang-Hyun (School of Architecture & Civil Engineering, Kyungpook National University) ;
  • Cho, Young-Hum (School of Architecture, Yeungnam University) ;
  • Hwang, Jung-Ha (School of Architecture & Civil Engineering, Kyungpook National University)
  • 이용호 (경북대학교 건축토목공학부) ;
  • 서상현 (경북대학교 건축토목공학부) ;
  • 조영흠 (영남대학교 건축학부) ;
  • 황정하 (경북대학교 건축토목공학부)
  • 투고 : 2013.09.13
  • 심사 : 2013.10.24
  • 발행 : 2013.10.30

초록

This study set out to devise an optimized system to take into account life cycle cost(LCC) and ton of carbon dioxide($TCO_2$) by applying the weighted coefficient method(WCM) to "public-purpose" facility buildings according to the mandatory 5% and 11% of new renewable energy in total construction costs and anticipated energy consumption, respectively, based on the changes of the public obligation system. (1) System installation capacity is applied within the same new renewable energy facility investment according to the mandatory 5% of new renewable energy in total construction costs. Both LCC and $TCO_2$ recorded in the descending order of geothermal, solar, and photovoltaic energy. The geothermal energy systems tended to exhibit an excellent performance with the increasing installation capacity percentage. (2) Optimal systems include the geothermal energy(100%) system in the category of single systems, the solar energy(12%)+geothermal energy(88%) system in the category of 2-combined systems, and the photovoltaic energy(12%)+solar energy(12%)+geothermal energy(76%) system and the photovoltaic energy(12%)+solar energy(25%)+geothermal energy(63%) system in the category of 3-combined systems. (3) LCC was the highest in the descending order of photovoltaic, geothermal and solar energy due to the influences of each energy source's correction coefficient according to the mandatory 11% of new renewable energy in anticipated energy consumption. The greater installation capacity percentage photovoltaic energy had, the more excellent tendency was observed. $TCO_2$ recorded in the descending order of geothermal, photovoltaic and solar energy with the decreasing installation capacity of photovoltaic energy. The greater installation capacity percentage a geothermal energy system had, the more excellent tendency it demonstrated. (4) Optimal systems include the geothermal energy(100%) system in the category of single systems, the photovoltaic energy(62%)+geothermal energy(38%) system in the category of 2-combined systems, and the photovoltaic energy(50%)+solar energy(12%)+geothermal energy(38%) system and the photovoltaic energy(12%)+solar energy(12%)+geothermal energy(76%) system in the category of 3-combined systems.

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참고문헌

  1. Lee, Y. H., 2013, A Study on the Optimization of a Renewable Energy System in Fire Station Buildings, Journal of the Korean Solar Energy Society, Vol. 33, No.1, pp. 79-88. https://doi.org/10.7836/kses.2013.33.1.079
  2. An, K. H., 2011, A Study on Energy Conservation Plan of Eco-friendly School by EnergyPlus, Journal of the Architectural Institute of Korea Planning &Design, Vol. 27, NO. 12, pp19-26.
  3. Lee, H W., 2011, A $CO_2$ Emission Reduction Method through Correlation Analysis of Design Parameters in Buildings, Journal of the Korean Solar Energy Society, Vol. 31, NO.1, pp100-106. https://doi.org/10.7836/kses.2011.31.1.100
  4. Lee, S. R., 2010, Life Cycle Cost Analysis of Energy Saving Performance for Apartment, Proceeding of The SAREK 2010, Winter Annual Conference, pp254-259.