Enriching BIM-BEPS workflows to support natural ventilation simulations using AirflowNetwork

Natural ventilation is a key strategy of building design that can reduce energy consumption and greenhouse gas emissions, while improving indoor air quality and thermal comfort. Although BEPS (Building Energy Performance Simulation) tools assess such systems and BIM (Building Information Modeling) facilitates data exchange via the IFC (Industry Foundation Classes) standard, current BIM-BEPS workflows present challenges like data loss and limited support for natural ventilation. This study proposes a methodology to enhance BIM-BEPS workflows by providing robust support for natural ventilation simulations using the AirflowNetwork model. The approach involved applying the Information Delivery Manual (IDM) methodology to structure the processes and organize the information requirements. Based on this structure, a semantic data dictionary aligned with the BuildingSMART Data Dictionary (bSDD) is developed, incorporating AirflowNetwork-supported systems in EnergyPlus. A Python-based add-on is created to enrich IFC models with data from the dictionary ensuring compatibility for simulation purposes. Model validation is performed through Information Delivery Specification (IDS). The proposed methodology addresses current limitations and establishes a foundation for broader applications in the energy domain, expanding its usefulness beyond this area. It is fully structured within an openBIM workflow, relying exclusively on open data standards and freely accessible tools for both development and implementation.