Energy-Saving Research on Residential Gas Heating System in Cold Area Based on System Dynamics
- 30 June 2020
- journal article
- research article
- Published by International Information and Engineering Technology Association in International Journal of Heat and Technology
- Vol. 38 (2), 457-462
- https://doi.org/10.18280/ijht.380222
Abstract
In recent years, northern China has continuously promoted gas-fired heating systems, and more residential heating terminals have adopted the gas wall-hung boiler systems. Factors such as the output power of the wall-hung boiler, the heating operation mode, and the thermal insulation performance of the building envelope all affect the final building energy consumption. The authors attempt to achieve the goal of energy saving through systematical analysis of these factors. The method of system dynamics analysis was introduced into the energy consumption analysis of wall-hung boiler. Besides, taking a residential building in Tianjin as an example, a system dynamic model of the wall-hung boiler system was constructed and simulated; the simulation analysis was conducted about the impact of the thermal insulation performance of the enclosure structure on the operation and output power of the wall-hung boiler, the impact of the rated power on the energy consumption of the building, and the impact of the temperature difference at shutdown on the energy consumption of the building, and the impact of the temperature difference at shutdown on the energy consumption of the building. The results showed that with the insulation layer thickness of 100mm, the energy-saving effect is better; with the wall-hung boiler output power of 20KW, the average energy consumption of the building is relatively small; the low system temperature difference at shutdown is more conducive to system energy saving.Keywords
Funding Information
- National Natural Science Foundation of China (5,170,839,451,708,370)
- Natural Science Foundation of Hebei Province of China (E2019201230)
- Hebei Education Department (QN2019187)
- High-level talent research startup project of Hebei University (5.21001E+11)
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