Chillón Geck, CarlosCarlosChillón GeckAlsaad, HayderHayderAlsaadVölker, ConradConradVölkerSmarsly, KayKaySmarsly2024-11-062024-11-062024-0731st International Workshop on Intelligent Computing in Engineering, EG-ICE 2024https://hdl.handle.net/11420/50362Heating, ventilation, and air conditioning (HVAC) systems help regulate indoor temperatures to maintain the comfort and productivity of building occupants. However, the global climate and energy crisis requires robust energy conservation measures to reduce electricity and heat consumption, particularly in HVAC-dominated building operations. To reduce energy consumption caused by building operations, the digital twin (DT) concept has focused on integrating new technologies and methodologies, such as the Internet of Things and building information modelling (BIM), for application in the field of thermal comfort and energy management. However, the adoption of digital twins faces limitations, including insufficient research on personalized thermal comfort models and a lack of consensus in the definition and design of digital twins. This study addresses the limitations by using a formal foundation to implement a BIM-based DT for personalized thermal comfort monitoring that integrates indoor environmental data and occupant feedback for analysis, visualization, and control of personalized thermal comfort in buildings.endigital twinsindoor environmentInternet of Things (IoT)Personalized thermal comfortsmart monitoringComputer Science, Information and General Works::005: Computer Programming, Programs, Data and SecurityTechnology::690: Building, ConstructionConference PaperConference Paper