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자연과학
공학
의약학
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예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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지원사업
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커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The Government of the Republic of Korea has implemented various policies targeting public office buildings to reduce peak electricity load and overall energy use in cooling. During periods of energy and power crises, sequential operation strategies for a cooling system are recommended to lower peak electricity demand in buildings. However, current sequential operations are typically implemented through cooling system shutdowns or arbitrary indoor temperature increases to reduce peak cooling electricity load. This study evaluated the effectiveness of different sequential cooling system operation strategies in public office buildings by analyzing their impact on peak cooling energy load and indoor thermal environment. Through simulation-based analysis, two main control approaches, traditional on/off control and set-back temperature control, were compared. Results demonstrated that while on/off control scenarios achieved a 64% reduction in peak cooling electricity load, these scenarios caused significant thermal discomfort and cooling load spikes upon system restart. In contrast, set-back control scenarios maintained indoor temperatures within the set-point range and reduced peak cooling electricity load by 8.7% while maintaining PMV values within approximately +0.5 compared to the common operation case. The set-back control strategy also prevented sudden cooling load increases observed in the on/off scenarios, offering a more balanced approach to energy management and occupant comfort in public office buildings.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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