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赤峰市某镇农村住宅不同时间尺度下生活用电量规律分析

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袁鹏丽,端木琳,王宗山,李祥立,舒海文.赤峰市某镇农村住宅不同时间尺度下生活用电量规律分析[J].,2020,60(2):165-173
赤峰市某镇农村住宅不同时间尺度下生活用电量规律分析
Analysis of law of domestic electricity consumption for rural residences at some town in Chifeng under various temporal scales
DOI:10.7511/dllgxb202002008
中文关键词:农村住宅用电量分布特征时间尺度
英文关键词:rural residenceelectricity consumptiondistributionfeaturetemporal scales
基金项目:国家重点研发计划资助项目(2018YFD1100705).
作者单位
袁鹏丽,端木琳,王宗山,李祥立,舒海文
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中文摘要:
以赤峰市某镇27个村落约1 100户农村住宅为研究对象,对其年用电量、月用电量进行统计,并对30户农村住宅的逐时用电量进行测试,利用统计学方法对不同时间尺度下农村住宅用电量规律进行分析.结果表明,该镇农村住宅2014~2017年的年用电量在显著性水平为0.01时均呈对数正态分布,且年用电量分布的平均值逐年增加,农村住宅间用电量水平的差异性呈先增大后减小的趋势.空调季与过渡季的月用电量均高于供暖季,而空调季的月用电量仅比过渡季时高7%左右;农村住宅工作日与非工作日的用电量相差较小;时尺度下用电量呈三波峰特征,且不同季节下用电量在早晨出现波峰的时刻具有显著差异.研究结果可为农村建筑节能及用电能耗预测模型建立提供一定的参考依据.
英文摘要:
The monthly and yearly electricity consumption of about 1 100 rural residences in 27 villages and the hourly electricity consumption of 30 rural residences at some town in Chifeng are measured. The law of electricity consumption of rural residences at various temporal scales is analyzed based on the statistical methods. The results show that the annual electricity consumption in 2014-2017 of these rural residences follows the log-normal distribution at the 0. 01 significance level, and the average annual electricity consumption distribution increases annually, the difference between rural residences increases firstly, then decreases. For the monthly scale, the electricity consumption at the air conditioning season and transition season is higher than that at the heating season, while the electricity consumption at air conditioning season is only 7% greater than that at the transition season. Moreover, the daily electricity consumption of rural residences at the weekdays and weekends has little difference. The hourly electricity consumption of rural residences presents the characteristics of three waves, and the occurrence time of the wave in the morning has significant variation at different seasons. The research results can provide the reference basis for the energy conservation or the electricity consumption prediction model of rural residences.
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