## 1 Introduction  
Climate change necessitates future weather scenarios that will significantly affect humans' everyday lives and pose challenges to housing design and construction. These challenges emphasize the need for measures such as shading, temperature peak reduction through thermal mass (if available), or night cooling ventilation [1]. [PERSON] et al. [2] estimate an increase in cooling demand for buildings at up to 35% for the year 2050 and stress that BPS must be improved and advanced in order to serve as a reliable planning and prediction tool, for example, by properly incorporating not only warmer average temperatures due to climate change but also short yet extreme weather events. People in Western societies spend 90% of their time indoors throughout the day [3, 4], and thermal comfort influences well-being and productivity at work, in schools, and at home [5, 6, 7]. Therefore, future annual weather conditions should be considered in a building's design phase to improve the building's climate change resilience for new constructions and renovations in existing buildings.  
Since thermal comfort is strongly influenced by internal and external loads resulting from weather conditions and building usage, only a dynamic building performance simulation (BPS) can predict the boundary conditions for a thermal comfort analysis during the design stage. As the model setup for a BPS requires detailed information on building geometry, materials, and usage, recent research activities have attempted to derive the required simulation models from the open BIM (Building Information Modeling) Standard IFC (Industry Foundation Classes) [8]. However, even when the IFC data are available, it is often erroneous or incomplete. A template-based enrichment of the BPS models helps fill in missing data based on archetypal usage of thermal zones (e.g., for defining internal loads and schedules based on the usage of thermal zones). These templates are available for standardized enrichment of BPS models, but do not include the required parameters for thermal comfort analysis.  
We propose a basic setup to integrate automated thermal comfort analysis into an IFC-based BPS setup. This setup enables the user to perform an IFC-based thermal comfort analysis in the design process with minimal additional effort. It assists in rapidly evaluating building designs and even small changes without major remodeling efforts. The impact of climate change on building design can be easily considered when comparing the impact of design decisions. Furthermore, this setup cannot only be used to minimize building operational costs but also consider, e.g., embodied carbon for different design strategies when optimizing the building's design for maximum thermal comfort design. For a quick template-based model enrichment, we propose zone-usage-based thermal comfort parameters. These parameters are rough estimates but enable users to consider usage-specific setups and can be further specified for individual project needs.  
After an introduction to the related research on thermal comfort and climate change, IFC-based BPS, and future weather scenarios, we present our approach for IFC-based thermal comfort simulation. This approach extends the existing IFC-based BPS approach _bim2 sim_[9; 10]. A set of thermal comfort parameters for template-based BPS model enrichment supports the presented bim2 sim extension. The proposed methods and templates are evaluated on a case study IFC building applying a TMYx (2007-2021) and SSP5-8.5 (2050, 2080) weather scenarios for Cologne, Germany.