Open AccessResearch on the influence of coal to electric heating on regional power grid in Northern China
Author(s) -
Xingli Ding,
Rongjiang Ma,
Ming Shan,
Xing Rong,
Xianlin Wang,
Xudong Yang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/609/5/052041
Subject(s) - electricity , environmental science , electric heating , beijing , heating system , coal , electric power , environmental engineering , storage heater , automotive engineering , meteorology , china , power (physics) , heat pump , waste management , engineering , electrical engineering , geography , mechanical engineering , physics , heat exchanger , archaeology , quantum mechanics
North china has been implementing large-scale coal-to-electricity action, for air pollution reduction and rural household indoor environment improvement. This cause electricity fluctuations and load increase. This paper characterizes patterns of three dominated electric heating equipment in Beijing-Tianjin-Tangshan region (BTT), which are thermal storage electric heating radiators (TSEHRs), air-to-water heat pumps (AWHPs), and low temperature air-to-air heat pumps (AAHPs), and estimate their impact on the power grid system of BTT. Due to physical properties, TSEHRs keep operating as a direct-acting electric heating radiator during the daytime, consequently, caused a high electricity consumption up to 144.3 (kWh/m 2 ); AWHPs had to uninterrupted operate to keep heating each currently in-use room, and electricity consumption was 65.6 (kWh/m 2 ); electricity consumption of AAHPs fell to 29.7 (kWh/m 2 ), benefited from separate installation and intermittent operation. Based on those patterns, the impact on power grid system of large scale adoption in BTT were estimated: daily peak-valley ratios of the typical daily load curve, which respectively turned into 42.5%, 22.4%,21.8% from original 26.5%, and the load increase rates of the original monthly maximum load throughout the year, respectively were 101.5%, 9.0%, 2%.