|
| 赤峰市某镇农宅不同时间尺度下生活用电量规律分析 |
| Analysis on the law of domestic electricity consumption for rural residences in Chifeng at various temporal scales |
| 投稿时间：2019-09-03 修订日期：2019-12-10 |
| DOI： |
| 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 residence electricity consumption distribution feature temporal scales |
| 基金项目:] 国家重点研发计划《村镇建筑用能系统整合与能效提升技术研究》2018YFD1100705 |
|
| 摘要点击次数: 191 |
| 全文下载次数: 0 |
| 中文摘要: |
| 以赤峰市某镇27个村落的约1100户农宅为研究对象,对其年用电量、月用电量进行统计,并对30户农宅的逐时用电量进行现场测试,利用统计学方法对不同时间尺度下农宅用电量规律进行分析。结果表明,该镇农宅2014~2017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,农户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提供一定的参考依据。 |
| 英文摘要: |
| This paper measured the monthly and yearly electricity consumption of 1100 rural residences and the hourly electricity consumption of some rural residences in Chifeng. The law of electricity consumption of rural residences at various temporal scales was analyzed based on the statistical methods. The results showed that the annual electricity consumption of these rural residences follows the lognormal distribution at the 0.01 significance level, which can provide a new theoretical foundation for the statistical analysis of electricity consumption for rural residences. For the monthly scale, the monthly 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 greater 7% 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 mainly reason influencing the electricity consumption at different seasons is the difference of the operating frequency for the electric cooking equipments. The research results can provide the reference basis for the energy conservation or the electricity consumption prediction model of rural residences. |
|
View Fulltext
查看/发表评论 下载PDF阅读器 |
| 关闭 |