인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
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.
초록·키워드
In a district heating and cooling system, various types of production facilities are used to produce hot steam water. These facilities include peak load boilers, incinerators and combined heat and power platns to name a few. Each production facility has their own operation characteristics. Peak load boilers are expensive but can control the production level easily, which is thus useful to deal with unexpected high heat demands. Incinerators are cheaper but the production capacities are comparatively small. They typically produce hot steam water consistently without changing production level dynamically. Combined heat and power plants produce both heat and electricity, while their economic efficiency is mostly dependent on electricity market conditions. In addition, the district heating and cooling system considered in this research is quite complicate since the system consists of multiple nodes, each of which has different portfolios of production facilities. Nodes are interconnected so that hot steam waters are supplied to neighborhood demand nodes when necessary. The main objective of the decision support system developed in this research is to match heat demands with a portfolio of production facilities while maximizing the overall profit of the system.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2017-553-001025282