Abstract Today, identifying energy poverty is one of the scientific community's challenges. In this sense, using Geographic Information Systems (GIS) assumes getting to know which areas are the most vulnerable. This study considers the development of a new territory energy poverty evaluation indicator, called Poverty Adaptive Degree Hourly Index (PADHI). The novelty of this indicator is that it combines the number of inhabitants in poverty with the hourly heating and cooling degrees of each climate, determined using adaptive thermal comfort limits based on ASHRAE 55-2017. The area studied focuses on Chile and its 346 municipalities. The application of the adaptive comfort model can exceed 90% in the north of the country and be below 20% in the most meridional areas. The results also outlined that the municipalities defined as PADHI's 10th decile are those which have a higher risk of energy poverty in their population, a higher percentage of income poverty and climatic severity. A cluster analysis was also run for this decile, identifying two risk groups with the aim of identifying the critical areas. This methodology applied to Chile, but international in nature, allows identifying priority areas on which the measures needed to reduce energy poverty can be focused.

中文翻译：

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考虑用户热适应性的能源贫困风险测绘方法：以智利为例

摘要 如今，确定能源贫困是科学界面临的挑战之一。从这个意义上说，使用地理信息系统 (GIS) 需要了解哪些区域最容易受到攻击。本研究考虑制定新的领土能源贫困评估指标，称为贫困适应度每小时指数 (PADHI)。该指标的新颖之处在于，它将贫困居民数量与每种气候的每小时供暖和制冷程度相结合，使用基于 ASHRAE 55-2017 的自适应热舒适限制确定。研究的领域集中在智利及其 346 个城市。自适应舒适模型的应用在北方地区可达90%以上，在大部分经向地区应用不到20%。结果还概述了定义为 PADHI 的市政当局 s 10th 十分位数是那些人口中能源贫困风险较高、收入贫困百分比较高和气候严重程度较高的人群。还对该十分位数进行了聚类分析，确定了两个风险组，目的是确定关键领域。这种方法适用于智利，但具有国际性质，可以确定优先领域，减少能源贫困所需的措施可以集中在这些领域。