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Comparison of Deterministic and Stochastic Approaches in Building Energy Demands - Focused on Usage Profiles -
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건물 에너지요구량의 결정적 접근과 확률적 접근의 비교 - 용도프로필을 중심으로 -

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Type
Academic journal
Author
Lee, Seung-Ju (서울대) Yoo, Young-Seo (서울대) Park, Cheol-Soo (서울대)
Journal
ARCHITECTURAL INSTITUTE OF KOREA Journal of the Architectural Institute of Korea Vol.38 No.8(Wn.406) KCI Excellent Accredited Journal SCOPUS
Published
2022.8
Pages
213 - 219 (7page)

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Comparison of Deterministic and Stochastic Approaches in Building Energy Demands - Focused on Usage Profiles -
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ECO2 is the de facto building energy calculation tool in South Korea; it prescribes deterministic usage profiles such as people, lighting, equipment and ventilation. However, it has been widely acknowledged that such deterministic approaches cannot take into account stochastic thermal behavior in buildings. With this in mind, the authors investigated the difference in building energy prediction between deterministic and stochastic approaches. For the stochastic approach, EnegyPlus, one of the most advanced dynamic building simulation tools, was selected. Latin Hypercube Sampling was employed to generate 1,000 simulation cases of the DOE medium-office reference building. It is found that there is a significant difference between deterministic and stochastic approaches. It is suggested that the stochastic approach must be considered for rational decision making of building energy certification rating.
#용도프로필 #건축물에너지효율등급인증 #건물 에너지 성능평가 #확률적 접근 #Usage Profile #Building Energy Efficiency Certification #Building Energy Performance Assessment #Stochastic Approach

Contents

Abstract
1. 서론
2. ECO2와 EneryPlus의 용도프로필 입력 방법
3. 용도프로필 샘플링
4. 시뮬레이션 모델
5. 불확실성 분석(Uncertainty Analysis. UA)
6. 결론
REFERENCES

References (18)

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Ahn, K. U., Kim, Y. J., & Park, C. S. (2012). Issues on dynamic building energy performance assessment in design process. Journal of the Architectural Institute of Korea Planning & Design, 28(12), 361-369. google schola ASHRAE, (2013). ASHRAE Handbook: Fundamentals 2013, ASHRAE, 461. google schola CIBSE. (2006). Environmental design, The Chartered Institution of Building Services Engineers, London. google schola De Wilde, P. (2014). The gap between predicted and measured energy performance of buildings: A framework for investigation. Automation in construction, 41, 40-49. google schola Hopfe, C. J. (2009). Uncertainty and sensitivity analysis in building performance simulation for decision support and design optimization. PhD diss., Eindhoven University. google schola

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