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http://dx.doi.org/10.5855/ENERGY.2019.28.3.018

Virtual Analysis of District Heating System Using ENetPLAN  

Ahn, Jeongjin (Department of New Energy Engineering, Graduate School of Energy and Environment, Seoul National University of Science and Technology)
Lee, Minkyung (Institute of Gas Safety R&D, Korea Gas Safety Corporation)
Kim, Laehyun (Graduate School of Energy and Environment, Seoul National University of Science and Technology)
Publication Information
Abstract
In this study, in order to solve the problem of the program of calculating code input by experienced users in the power generation, the wide area energy network research group developed the local heating operation analysis program EntPLAN, which can be easily used by anyone, including scalability, with domestic technology. Therefore, the Commission intended to compare the heat sources, heat demand, and the results of operation of the combined heat plant (CHP) on the energy network through simulation with the EnetPLAN and the program A on the market. The results showed that the heat and power output on the energy network of the EnetPLAN and A programs were mostly similar in pattern in the simulation results of the heat supply and the operation method of the accumulator. This enabled the application of the simulation for the various operation modes of the cogeneration facilities existing on the energy network. It is expected that EntPLAN, which was developed with domestic technology, will be easily applied in the field in the future and will present efficient operation simulation results.
Keywords
EnetPLAN; CHP; District Heating; Heat Pipe Network; Peak Load Boiler;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Lee, H., 2013, Heat Consumption pattern Analysis by the Component Ratio of District Heating Users, KOSEE, Vol. 22, No. 2, pp. 211-225.
2 Han, K. T., 2012, The Economic Effects of Integrated-Energy Ebsuness : An Input-Oupput Analysis, KOSEE Vol. 21, No. 1, pp. 47-54.
3 Gil, J. S., 2010, Operating Automation for Heat Storage and Release Modes in the District Heating System, SNUT
4 Kim, M. Y., 2008, Development of Heat Demand Forecasting Model for District Energy Management System, SNUT
5 KEMCO, 2014, Integrated-Energy Handbook, KEMCO