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본 연구에서는 지역난방 수도권 지사별 실태 및 영향인자 진단·분석을 통해 개별지사와 연계지사간의 효율 적이며 경제적인 운전을 할 수 있는 최적화 운전 프로그램을 개발하고 이를 통해 실제보다 최적화 운전시 어느정도 경제적 효과가 있는지를 확인해 보고자 하였다.이를 위해 각 지사별 실태조사를 통해 보일러, 펌프,관련Tag(온도,압력,연료량)등 다양한 인자를 진단/분석하였고 최적화 프로그램 개발을 위해 방대한 1년간 데이터를 인자별 Data base를 구축할 수 있었다. 또한 이를 통해 지사별 최적화 프로그램을 개발하여 수행한 결과, 최적화 선호도는 “소각장 >한전수열 >CHP >PLBs >PLBw”이었으며 연계를 제외한 각지사별 실제운전과 최적화 운전 비용차이가 거의 없었다.한편,통합운영 최적화 프로그램을 개발하여 실제와 동일 한 총생산열량과 동일한 한전수열량과 같은 고정인자는 변동치 않고 단지 연계공급/수급 열량만을 프로그램 을 통해 최적조건(가장 저렴하고 효율적인 열량을 우선 공급하는 조건)으로 효율적으로 운전한 결과, 사계절 별 임의로 선정된 2∼4일에 대한 일일 절감율 2.45∼6.80%, 일일 절감액 22,727천원∼60,077천원을 나타내 었는데, 특히 겨울철에 제일 많은 수요량을 나타내며가장 많은 절감비용을 얻을 수 있었고 수요량이 적은 여름철이 절감비용이 가장 작았다.이러한 결과를 토대로1년간 실제 열량 생산비용 대비 연간 절감비용을 환산하면 이론적으로 84억원이며 이는 수도권 전지사의 연간 총 열생산 비용(3,070억원)의 2.74%이상을 절감하는 경제적 효과가 있음을 확인할 수 있었다.


This study develops the optimized operation program which enables effective and economic operation between individual and connected branch offices by analyzing the current status and influential indicators of district heating companies' capital branch offices. Accordingly, the study examines the efficiency of optimized operation program. In doing so, this study has diagnosed and analyzed various factors, such as boilers, pumps, and relevant tags (temperature, pressure, fuel amount) through investigation of individual branch offices, and finally succeeded in developing wide-ranging data base by factor covering one-year time period. Additionally, after running the optimized operation program, different branch offices, optimum preference has turned out “incinerator receiving heat from KEPCO>CHP >PLBs>PLBw.” Meantime, except the connected offices, there has been no big difference between actual and optimum operation program in branch offices. Meanwhile, the integrated optimum operation program has made it possible the most optimal result only via the connecting supply and demand heat without changing received Heat from KEPCO which is the same as total productive heat. The result has showed that the reduction percentage per day is 2.45∼6.80%, and the reduction cost per day is 22,727∼60,077 thousand won given the randomly selected sample days. In particular, winter time shows the highest demand with the largest reduction cost whereas summer time illustrates the lowest demand with the smallest reduction cost. Given this result, reduction cost per year compared to actual heat production cost for one year theoretically would be 84 hundred million won. Also, the economic effect showed that the reduction cost percentage per year is more than 2.74% on heat production cost per year for all capital branch offices.


This study develops the optimized operation program which enables effective and economic operation between individual and connected branch offices by analyzing the current status and influential indicators of district heating companies' capital branch offices. Accordingly, the study examines the efficiency of optimized operation program. In doing so, this study has diagnosed and analyzed various factors, such as boilers, pumps, and relevant tags (temperature, pressure, fuel amount) through investigation of individual branch offices, and finally succeeded in developing wide-ranging data base by factor covering one-year time period. Additionally, after running the optimized operation program, different branch offices, optimum preference has turned out “incinerator receiving heat from KEPCO>CHP >PLBs>PLBw.” Meantime, except the connected offices, there has been no big difference between actual and optimum operation program in branch offices. Meanwhile, the integrated optimum operation program has made it possible the most optimal result only via the connecting supply and demand heat without changing received Heat from KEPCO which is the same as total productive heat. The result has showed that the reduction percentage per day is 2.45∼6.80%, and the reduction cost per day is 22,727∼60,077 thousand won given the randomly selected sample days. In particular, winter time shows the highest demand with the largest reduction cost whereas summer time illustrates the lowest demand with the smallest reduction cost. Given this result, reduction cost per year compared to actual heat production cost for one year theoretically would be 84 hundred million won. Also, the economic effect showed that the reduction cost percentage per year is more than 2.74% on heat production cost per year for all capital branch offices.