| 叶 斌,谢 涛,王 宝,杨 敏,孙 露.安徽居民取暖负荷的气温与春节双重效应分析[J].电力需求侧管理,2020,22(3):38-42 |
| 安徽居民取暖负荷的气温与春节双重效应分析 |
| Double effects analysis of temperature and Spring Festival on residential heating load in Anhui |
| 投稿时间：2019-12-25 修订日期：2020-03-30 |
| DOI：DOI:10.3969 / j. issn. 1009-1831. 2020. 03. 008 |
| 中文关键词: 取暖负荷 平均气温“ 春节”效应 |
| 英文关键词: heating load the average temperature “Spring Festival”effect |
| 基金项目:国网安徽省电力有限公司经济技术研究院企业研究类项目（B61209190007） |
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| 中文摘要: |
| 居民取暖负荷是取暖负荷的中坚力量,量化研究居民部门冬季取暖负荷对气温和“春节”因素的敏感性,有利于开展迎峰度冬工作,提高能源利用效率。以安徽省为例,基于城乡居民台区24点负荷数据,通过构建分段线性表示-梯度温度最大取暖负荷模型,研究分析冬季居民取暖负荷与气温和“春节”2个因素之间的关系。结果显示,采用台区日24点负荷数据作为研究分析的数据样本,提升了研究精准性,持续低温累积效应会导致冷冬年份工作日的城镇居民取暖负荷增长,而“春节”效应带来农村居民取暖负荷显著增加。 |
| 英文摘要: |
| The residential heating load is the backbone of heating load, the quantitative study of the sensitivity of the heating load of residents to the temperature and the“Spring Festival”factors is conducive to the smooth development of the winter work in peak time, and the improvement of the energy utilization efficiency. Taking Anhui province as an example, based on the 24 point daily load data of urban and rural residential areas in Anhui province, the relationship between winter residential heating load, temperature and“Spring Festival”is studied and analyzed by building a piecewise linear representation gradient temperature maximum heating load model. The results show that the research accuracy is improved by using 24 point daily load data of Taiwan area as the data sample of research and analysis. The cumulative effect of continuous low temperature will lead to the increase of heating load of urban residents on working days in cold winter, while the“Spring Festival”effect will bring significant increase of heating load of rural residents. |
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