Reducing electricity consumption has emerged as a key area of concern according to the National Mission of Sustainable Habitat of Government of India. Among the Indian cities, Delhi's electricity consumption is the highest. This paper aims to evaluate the impact of UHI on electricity consumption of Delhi. The study utilizes the satellite land surface temperature (LST) data to compute the district-wise urban heat island intensity (UHII) in Delhi. The electricity consumption and LST data are used to examine the association between them. The scatter plots between per-capita net electricity consumption and night-time LST of each district show strong association between them and polynomial curves best fit this association. The equations of these polynomial curves are then used to estimate the electricity consumption of each district assuming their LSTs to be equal to that of the surrounding rural strip (i.e. without UHI effect). The difference between the observed and estimated electricity consumption at observed and assumed (i.e. rural) LSTs provided the increase in electricity consumption due to UHI. The study shows that UHI formation caused an increased electricity consumption of 2600 GWh (i.e. 11.4%) annually on an average over eight districts of Delhi during the period April 2012 to March 2017.

根据印度政府可持续生境国家使命，减少电力消耗已成为关注的关键领域。在印度城市中，德里的用电量最高。本文旨在评估UHI对德里的用电量的影响。该研究利用卫星地表温度（LST）数据来计算德里的地区性城市热岛强度（UHII）。用电量和LST数据用于检查它们之间的关联。每个点之间的散点图每个地区的人均净电力消耗和夜间LST显示出它们之间的强烈关联，多项式曲线最适合此关联。然后使用这些多项式曲线的方程式估算每个地区的用电量，假设它们的LST等于周围农村地带的LST（即没有UHI效应）。在观测和假设的（即农村）LST的观测和估计的用电量之间的差异提供了UHI导致的用电量增加。研究表明，UHI的形成在2012年4月至2017年3月期间平均每年在德里的八个区增加2600 GWh（即11.4％）的用电量。