미래 기후변화를 고려한 건물 에너지 시뮬레이션의 불확실성 및 민감도 분석

다국어 초록 (Multilingual Abstract)

For reliable building performance assessment, uncertainty caused by future climate change and future energy retrofit should be taken into account. This paper presents a case study of risk-based decision making driven by future uncertainty sources (climate, energy retrofit) in an existing office building. For the study, the EnergyPlus model was chosen and a Monte Carlo Sampling (MCS) technique was employed. Then, significant inputs were identified using a global sensitivity analysis. This study compares three alternatives for replacement of a chiller using deterministic and risk-based stochastic approaches. It is shown that the risk-based stochastic approach is more useful than the deterministic approach. In particular, it is highlighted that the uncertainty sources (climate, retrofit, etc.) have an important bearing on the selection of optimal alternatives.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 기후 변화 모델
• 3. 대상건물과 입력 변수
• 4. 분석 결과
• 5. 리트로핏 의사결정 사례분석
• 6. 결론 및 추후 연구 내용
• REFERENCES

참고문헌 (Reference)

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