López-Vargas Ascensión, Ledezma-Espino Agapito
Control Learning and Optimization Group, Computer Science and Engineering Department, University Carlos III of Madrid. Leganes, Madrid, Spain.
Heliyon. 2023 Jan 14;9(1):e12943. doi: 10.1016/j.heliyon.2023.e12943. eCollection 2023 Jan.
The development of a datalogger for identifying Energy Poverty (EP) using thermal comfort monitoring is described in this work. There is not a uniform definition of EP, and no global recommendations indicating the thermal comfort characteristics that should be utilized to identify EP. Most Internet of Things (IoT)-based systems designed for EP identification measure energy consumptions (electricity and gas). There is a lack of works that use IoT-based systems to identify EP through the monitoring of thermal comfort parameters. To address the deficiencies discovered in the identification of EP from the perspective of thermal efficiency, an IoT-based monitoring system was designed, developed, and tested. A first pilot was installed in a household in Getafe. A full month of temperature, relative humidity, and CO concentration measurements were utilized to evaluate the system, which was then compared to a commercial system. The results revealed that the new IoT-based approach was very dependable and may be used to accurately monitor EP-related parameters.
本文描述了一种用于通过热舒适度监测识别能源贫困（EP）的数据记录器的开发。目前对于能源贫困并没有统一的定义，也没有全球范围内的建议指出应利用哪些热舒适度特征来识别能源贫困。大多数基于物联网（IoT）设计用于识别能源贫困的系统都测量能源消耗（电和天然气）。缺乏利用基于物联网的系统通过监测热舒适度参数来识别能源贫困的相关研究。为了从热效率的角度解决在能源贫困识别中发现的不足，设计、开发并测试了一种基于物联网的监测系统。首个试点安装在赫塔费的一户家庭中。利用整整一个月的温度、相对湿度和一氧化碳浓度测量数据对该系统进行评估，然后将其与一个商业系统进行比较。结果表明，这种基于物联网的新方法非常可靠，可用于准确监测与能源贫困相关的参数。
