The application of adaptive comfort models is among the determinant factors to reduce greenhouse gas emissions in the building sector. This research studies the region of Andalusia (south of Spain). A cluster analysis is applied to 786 Andalusian municipalities, and 4 groups are established according to the potential of adaptive strategies. A town is chosen from each group, and an hourly specific study is conducted for the last 20 years, as well as a daily study of the old time series by using an artificial neural network based on the existing climate data. The possibility of application of the EN 16798–1:2019 standard during the days of the year is analysed, as well as the possibilities of using natural ventilation and the possibility of using adaptive setpoint temperatures in comparison with both 3 fixed heating temperatures and 3 fixed cooling temperatures by considering the energy saving. The results to apply the standard ranged 69.0 and 100% of the days of each year. The possibilities of natural ventilation considered were greater than 10% of the hours of the year in all the assumptions. The energy saving of cooling degrees reveals a greater potential in the area studied than that of heating degrees; this tendency is supported by the study of old temporary series which are part of the climate variation predicted throughout the 21st century.

中文翻译：

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使用历史数据评估自适应舒适方法的潜力，以减少西班牙南部建筑物的能源消耗

适应性舒适模型的应用是减少建筑部门温室气体排放的决定性因素之一。这项研究研究了安达卢西亚地区（西班牙南部）。对 786 个安达卢西亚自治市进行聚类分析，根据适应性策略的潜力建立了 4 个组。从每组中选择一个城镇，对过去 20 年进行每小时的特定研究，并使用基于现有气候数据的人工神经网络对旧时间序列进行每日研究。分析了在一年中的几天内应用 EN 16798-1:2019 标准的可能性，以及考虑到节能，使用自然通风的可能性和使用自适应设定温度与 3 个固定加热温度和 3 个固定冷却温度相比的可能性。应用标准的结果范围为每年天数的 69.0% 和 100%。在所有假设中，所考虑的自然通风的可能性大于一年中小时数的 10%。在研究领域，制冷度节能显示出比采暖度节能更大的潜力；这一趋势得到了对旧临时序列的研究的支持，这些序列是整个 21 世纪预测的气候变化的一部分。在所有假设中，所考虑的自然通风的可能性大于一年中小时数的 10%。在研究领域，制冷度节能显示出比采暖度节能更大的潜力；这一趋势得到了对旧临时序列的研究的支持，这些序列是整个 21 世纪预测的气候变化的一部分。在所有假设中，所考虑的自然通风的可能性大于一年中小时数的 10%。在研究领域，制冷度节能显示出比采暖度节能更大的潜力；这一趋势得到了对旧临时序列的研究的支持，这些序列是整个 21 世纪预测的气候变化的一部分。