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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.10
- 수록면
- 95 - 104 (10page)
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초록· 키워드
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This study set out to devise an optimized system to take into account life cycle cost(LCC)and ton of carbon dioxide(TCO₂)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 TCO₂ 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. TCO₂ 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.
(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 TCO₂ 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. TCO₂ 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.
목차
Abstract
1. 서론
2. 대상건물의 에너지사용량과 가중계수법
3. 총건축공사비 5%기준에 따른 분석
4. 예상에너지사용량 11%기준에 따른분석
5. 결론
참고문헌
참고문헌 (4)
참고문헌 신청
3. [학술지(정기간행물)] - 이현우 / 2011 / 건축물 설계변수의 상관관계 분석을 통한 CO2 배출저감 방안 / 한국태양에너지학회 논문집 31 (1) : 100 ~ 106
4. [학술대회논문] - Lee, S. R. / 2010 / Life Cycle Cost Analysis of Energy Saving Performance for Apartment / Proceeding of The SAREK 2010, Winter Annual Conference : 254 ~ 259
안광호, 김형근, 최용석. 에너지 시뮬레이션을 통한 친환경학교의 에너지절약 계획방안에 관한 연구. 대한건축학회 논문집 - 계획계. 2011
이용호, 홍준호, 조영흠, 황정하. 소방서건물의 신재생에너지시스템 최적화에 관한 연구. 한국태양에너지학회 논문집. 2013
4. [학술대회논문] - Lee, S. R. / 2010 / Life Cycle Cost Analysis of Energy Saving Performance for Apartment / Proceeding of The SAREK 2010, Winter Annual Conference : 254 ~ 259
안광호, 김형근, 최용석. 에너지 시뮬레이션을 통한 친환경학교의 에너지절약 계획방안에 관한 연구. 대한건축학회 논문집 - 계획계. 2011
이용호, 홍준호, 조영흠, 황정하. 소방서건물의 신재생에너지시스템 최적화에 관한 연구. 한국태양에너지학회 논문집. 2013
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