지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.12
- 수록면
- 31 - 40 (10page)
- DOI
- 10.12813/kieae.2020.20.6.031
이용수
초록· 키워드
오류제보하기
Purpose: Building design optimization could be performed in various ways. In most cases, potential design alternatives are evaluated against multi-criteria performance indicators through iterative create-test processes. Especially for the early design stage, optimum passive design of a building tends to be more critical and needs to be investigated rigorously. This study focuses on building passive design optimization in different global regions considering their climatic characteristics. Site location, building orientation, wall construction, and glazing assemblies are considered to be primary passive design variables. Objective functions for optimization include occupancy comfort, capital cost, and life-cycle cost. Method: By utilizing Design Builder’s genetic-algorithm-based optimization tool, a single-room type highly simplified spatial unit virtually being located in 5 different global regions (Jakarta, Cairo, Buenos Aires, Seoul, and Resolute) is evaluated and optimized against two essential design criteria. Result: It is turned out that passive building design in different climatic contexts may lead to a different set of strategies to minimize occupant’s discomfort and life-cycle cost. The research outcome shows that the lowest solar transmission glazing assembly, which is critical for optimum passive design strategy in cooling-dominated regions may not function properly in the locations where tropical hot-humid weather prevail.
목차
ABSTRACT
1. Introduction
2. Materials and methods
3. Evaluation results
4. Discussion
5. Conclusion
References
참고문헌 (20)
참고문헌 신청
L. Belussi / 2019 / A review of performance of zero energy buildings and energy efficiency solutions / J. Build. Eng 25:100772
F. Ascione / 2019 / A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin / Appl. Energy 241:331~361
H. Shakouri / 2018 / Multi-objective optimization-simulation model to improve the buildings’ design specification in different climate zones of Iran / Sustain. Cities Soc 40:394~415
R. Wu / 2017 / Multiobjective optimisation of energy systems and building envelope retrofit in a residential community / Appl. Energy 190:634~649
S. Gou / 2018 / Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand / Energy Build 169:484~506
F. Ascione / 2019 / A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin / Appl. Energy 241:331~361
H. Shakouri / 2018 / Multi-objective optimization-simulation model to improve the buildings’ design specification in different climate zones of Iran / Sustain. Cities Soc 40:394~415
R. Wu / 2017 / Multiobjective optimisation of energy systems and building envelope retrofit in a residential community / Appl. Energy 190:634~649
S. Gou / 2018 / Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand / Energy Build 169:484~506
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