대한토목학회논문집 (KSCE Journal of Civil and Environmental Engineering Research)

  • 제41권3호
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  • Pages.289-296
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  • 2021
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  • 1015-6348(pISSN)
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  • 2799-9629(eISSN)
대한토목학회 (Korean Society of Civil Engeneers)
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G-SEED용 실내공기 오염물질 저방출 자재 선정을 위한 경제성 평가 모델 개발

Development of an Economic Assessment Model for the Selection of Indoor Air Pollutant Low Emission Material for G-SEED

  • 권성민 (경북대학교 건설환경에너지공학부 토목공학전공) ;
  • 김병수 (경북대학교 토목공학과)
  • 투고 : 2020.11.19
  • 심사 : 2021.01.28
  • 발행 : 2021.06.01
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초록

국내 건설산업은 에너지와 자원의 사용 및 오염물질 배출과 같은 환경 부담을 줄이고 쾌적한 환경을 조성하기 위한 목적으로 건축물의 환경성을 평가하는 녹색건축 인증제도를 시행하고 있다. 하지만 인증획득 절차의 시간이 오래 걸리고 과정이 복잡하며 인증 항목별로 자재의 경제성을 고려할 수 없는 점으로 인해 실무에서는 인증에 어려움을 겪는 문제점이 있다. 따라서 본 연구에서는 녹색건축인증의 문제점을 해결하기 위해 녹색건축 인증제도 인증 항목 중 실내공기 오염물질 저방출 제품의 적용을 그 대상으로 하고 생애주기비용 개념을 고려하여 자재 데이터베이스를 구축하였으며 경제성 평가의 최적화 기법으로는 유전 알고리즘을 활용하여 최적의 자재를 선정할 수 있는 경제성 평가모델을 개발하였다. 이를 실제 비주거용 건축물 사례에 적용하여 기존 비용과 비교한 결과 평균 74.5 %의 비용 절감률을 나타내어 본 모델을 녹색건축인증에서 경제적 효율성이 있는 도구로써 활용 가능할 것으로 판단된다.

The Korean construction industry has been implementing G-SEED, a certification system that evaluates the environmental properties of buildings for the purpose of reducing environmental burdens such as energy and resource consumption and pollutant emissions. Also, creating a pleasant environment in general is one more purpose of G-SEED certification system. However, G-SEED certification in practice is difficult and time consuming due to the complexity of the certification acquisition process coupled with little economic consideration for the materials of each certification item. Therefore, in this study, we present a model for the optimal selection of materials and economic assessment using a genetic algorithm. The development of the model involves building a material database based on life-cycle costing (LCC) targeted at "Application of Indoor Air Pollutant Low Emission Material" from G-SEED. Next, the model was validated using a real non-residential building case study. The result shows an average cost reduction rate of 74.5 % compared with the existing cost. This model is expected to be used as an economically efficient tool in G-SEED.

키워드

과제정보

본 연구는 과학기술정보통신부의 재원으로 한국연구재단의 지원을 받아 수행된 연구입니다(NRF-2018R1A2B6009111). 본 논문은 2020 CONVENTION 논문을 수정·보완하여 작성되었습니다.

참고문헌

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