【论文推荐】国网江苏电科院刘凯等：夏季高温过程与用电系统热排放相互作用的模拟研究

原创英文期刊编辑部全球能源互联网期刊 2023-02-01 08:00

摘要

夏季高温过程中，用电系统的大量使用增加了局地的人为热量排放，使得高温进一步加剧。在人为热源的组成部分中，建筑物内部的电能消耗、热量产生以及室内外热量传输与交换，对于城市热环境的改变有着非常重要的作用。因此，为研究室内用电系统的产热及室内外热量传输扩散，并对室外热环境产生的影响，运用WRF模式，选取BEP+BEM城市冠层参数化方案，即基于多层城市冠层方案BEP增加室内空调用电系统影响的建筑物能量模式BEM的方案。以夏季高温热浪作为背景天气进行模拟研究，结果表明采用WRF模式考虑空调用电系统室内外能量交换的BEP+BEM参数化方案，能够更好地模拟出夏季晴天城市近地层气温。白天空调等用电系统开启对于城市近地层气温的影响不明显，而夜间使得城市气温普遍升高0.6℃，尤其是在居民区密集的地方，22～23时最大有1.2℃左右的升温。当调整室内空调目标温度为25—27℃时，空调系统能量总释放量减少12.66%，13～16时温度下降最大，平均约为1℃，建筑物越是密集，温度下降越大。

Simulation of interaction between high-temperature process and heat emission from electricity system in summer

夏季高温过程与用电系统热排放相互作用的模拟研究

Kai Liu¹, Yuanhan Du¹, Weidong Chen², Xijuan Wu¹

(1.Information and Communication Company, State Grid Jiangsu Electric Power Company, Nanjing 210000, P. R. China

2.China Electric Power Research Institute, Nanjing 210003, P. R. China)

收听作者1分钟语音介绍

Simulation of interaction between high-temperature

Abstract

During the hot summer season, using electricity systems increases the local anthropogenic heat emission, further increasing the temperature. Regarding anthropogenic heat sources, electric energy consumption, heat generation, indoor and outdoor heat transfer, and exchange in buildings play a critical role in the change in the urban thermal environment. Therefore, the Weather Research and Forecasting (WRF) Model was applied in this study to investigate the heat generation from an indoor electricity system and its influence on the outdoor thermal environment. Through the building effect parameterization (BEP) of a multistorey urban canopy scheme, a building energy model (BEM) to increase the influence of indoor air conditioning on the electricity consumption system was proposed. In other words, the BEP+BEM urban canopy parameterization scheme was set. High temperatures and a summer heat wave were simulated as the background weather. The results show that using the BEP+BEM parameterization scheme of indoor and outdoor energy exchange in the WRF model can better simulate the air temperature near the surface layer on a sunny summer. During the day, the turning on the air conditioning and other electrical systems have no obvious effect on the air temperature near the surface layer in the city, whereas at night, the air temperature generally increases by 0.6 ℃, especially in densely populated areas, with a maximum temperature rise of approximately 1.2 ℃ from 22:00 to 23:00. When the indoor air conditioning target temperature is adjusted to 25–27 ℃, the total energy release of the air conditioning system is reduced by 12.66%, and the temperature drops the most from 13:00 to 16:00, with an average of approximately 1 ℃. Further, the denser the building is, the greater the temperature drop.

Keywords

Electricity system; Anthropogenic heat emission; Urban climate; Heat waves.

Fig.1 Simulation region and land use type in domain 3

Fig.2 Distribution of 2-m temperature changes in July 2017 in Jiangsu Province

Fig.3 Daily variation of indoor temperature in Nanjing

Fig.4 Air temperature differences between BEM and BEM(noAH) simulations superimposed on wind fields simulated by BEM at different time on 24 July(a. 10:00, b. 11:00, c. 12:00, d. 22:00, e. 23:00, f. 24:00 BJ)

Fig.5 Energy differences simulated by BEM & BEM(target_T) from 24 July to 25 July. (a)Suzhou; (b) Wuxi; (c)Changzhou; (d)Zhenjiang; (e)Nanjing; (f)Nantong; (g)Yangzhou; (h)Taizhou; (i)Yanzhou; (j)Huaian; (k)Suqian; (l)Xuzhou; and (m)Lianyungang

Fig.6 (a) Energy saving and (b, c) air temperature distributions simulated by BEM and BEM (target_T)at 14:00 on 24 July

本文引文信息

Liu K, Du YH, Chen WD, et al. (2022) Simulation of interaction between high-temperature process and heat emission from electricity system in summer. Global Energy Interconnection, 5(6): 692-702

刘凯，杜元翰，陈卫东等 (2022) 夏季高温过程与用电系统热排放相互作用的模拟研究. 全球能源互联网（英文）, 5(6): 692-702

Biographies

Kai Liu

Kai Liu (1993-), male, master’s degree, engineer, research interests in energy power big data analytics.

Yuanhan Du

Yuanhan Du (1993-), male, master’s degree, engineer, research interests in new energy power prediction.

Weidong Chen

Weidong Chen (1989-), male, master’s degree, engineer, research interests in power meteorology and new energy power prediction.

Xijuan Wu

Xijuan Wu (1993-), female, master’s degree,engineer, research interests in substation automation and network security.

编辑：王彦博

审核：王伟

郑重声明

根据国家版权局相关规定，纸媒、网站、微博、微信公众号转载、摘编本网站作品，需包含本网站名称、二维码等关键信息，并在文首注明《全球能源互联网》原创。个人请按本网站原文转发、分享。

Simulation of interaction between high-temperature process and heat emission from electricity system in summer

【论文推荐】国网江苏电科院 刘凯等：夏季高温过程与用电系统热排放相互作用的模拟研究

郑重声明

【论文推荐】国网江苏电科院刘凯等：夏季高温过程与用电系统热排放相互作用的模拟研究