The reduction of fuel poverty is among the major challenges of countries, policymakers, stakeholders, and researchers. Many contributions have today emerged; however, two aspects should be widely considered. On the one hand, the use of strategies based on the reduction of energy consumption through the adaptive approach, and on the other hand, the impact of climate change on fuel poverty, particularly considering the recent representative concentration pathways (RCP). This paper addresses both issues in Andalusia, which is among the regions with the highest population ratio under poverty risk. For this purpose, 4 zones with possibilities of applying adaptive strategies were distinguished in the Andalusian geography, and 3 climate change scenarios (RCP 2.6, RCP 4.5, and RCP 8.5) were projected in each decade (from 2030 to 2100). A total of 6,528 cases of representative social housing, simulated in all scenarios, were parametrically studied. All data were assessed from the point of view of fuel poverty risk. The results showed that the adaptive strategies influence the reduction of fuel poverty, both in annual and monthly values. Moreover, the increase in fuel poverty cases because of global warming could be reduced by this approach in the four zones detected in Andalusia.

减少燃料贫困是各国、政策制定者、利益相关者和研究人员面临的主要挑战之一。今天出现了许多贡献；然而，应广泛考虑两个方面。一方面，基于通过适应性方法减少能源消耗的策略的使用，另一方面，气候变化对燃料贫困的影响，特别是考虑到最近的代表性集中路径（RCP）。本文解决了安达卢西亚的这两个问题，安达卢西亚是贫困风险人口比例最高的地区之一。为此，在安达卢西亚地理学中区分了 4 个有可能应用适应性策略的区域，并在每个十年（从 2030 年到 2100 年）预测了 3 种气候变化情景（RCP 2.6、RCP 4.5 和 RCP 8.5）。一共6个，在所有场景中模拟的 528 个具有代表性的社会住房案例进行了参数研究。所有数据都是从燃料贫困风险的角度评估的。结果表明，适应性策略影响了燃料贫困的减少，包括年和月值。此外，在安达卢西亚发现的四个区域中，这种方法可以减少因全球变暖导致的燃料贫困案例的增加。