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Received December 3, 2008
Accepted December 29, 2008
- This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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지역 냉난방 시스템의 에너지 분배 최적화
Optimization of Energy Distribution in District Heating Systems
한양대학교 화학공학과, 133-791 서울시 성동구 행당동 1서울산업대학교 화학공학과, 139-743 서울시 노원구 공릉길 138 2인포트롤테크놀러지, 158-735 서울시 양천구 목동 917-6 3동안엔지니어링(주), 138-847 서울시 송파구 석촌동 294-5
Department of Chemical Engineering, Hanyang University, 17 Haengdang-dong, Seongdang-gu, Seoul 133-791, Korea 1Department of Chemical Engineering, Seoul National University of Technology, 172 Gongreung 2-dong, Nowon-gu, Seoul 139-743, Korea 2Infortrol, Inc., 917-6 Mok-dong, Yangchun-gu, Seoul 158-735, Korea 3Dongan Eng, 294-5 Sukchondong, Songpa-gu, Seoul 138-847, Korea
Korean Chemical Engineering Research, February 2009, 47(1), 119-126(8), NONE Epub 27 February 2009
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Abstract
지역 냉난방 시스템은 각 지역에 열 수요를 충족시키는데 중요한 역할을 한다. 본 논문에서는 수도권 지역난방 연계 지사간의 효율적인 운전을 위한 경제적 운전 프로그램 개발의 필요성을 진단하고 이를 활용할 경우의 예상효과를 분석하였다. 분석대상 지역난방 지사로서는 수도권 지역난방 공급 네트워크로 연계되어 있는 지사들 가운데에서 수서지역을 중심으로 주변의 분당, 일원, 중앙지역을 분석대상 지사들로 선정하여 각 지역의 열 생산량과 열 수요량을 측정하였다. 지역 냉난방 시스템의 운전비용이 최소가 되도록 하는 최적화 시스템의 구성에는 MILP 알고리듬이 이용되었다. 최적화 계산 결과를 토대로 지역간 연계 수열량과 공급비용을 예측하고 모델로부터 계산된 값을 통해 경제성을 분석하였다.
A district energy system plays very important role to fulfill energy demand in regional areas. This paper diagnoses the necessity of the development of an economical operation system for the efficient operation of district energy plants located in Seoul. The effect anticipated from the use of the optimal operation system is also analyzed. Production and consumption of energy are estimated for the district energy plants at Suseo, Bundang, Ilwon and Jungang located near in Seoul, Korea. The problem is formulated as a mixed integer linear programming(MILP) problem where the objective is to minimize the overall cost of the district energy system. From the results of numerical simulations we can see that the energy efficiency is improved due to the application of the optimal operation conditions provided by the proposed model.
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Jovic F, Rajkovic V, Jagnjic Z, Vuksanovic D, Information Technology Interfaces, 1, 325 (2001)
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