Implementing Dynamo in IFC2Modelica framework for enhanced parametrization

Aim and Approach

Accurately predicting energy performance during the early design stages of office buildings is essential for improving energy efficiency. This study focuses on enhancing the BIM to BEM (Building Information Modeling to Building Energy Modeling) workflow IFC2Modelica by utilizing Dynamo. The impact of design decisions related to roof types, insulation, skylights, and internal layouts on a building’s energy consumption is explored. Through the automation of data transfer from Revit models to energy simulations using Dynamo, multiple design scenarios are evaluated more efficiently and with greater precision.

Scientific Innovation and Relevance

The innovation of this research lies in the use of Dynamo to automate and streamline the BIM2BEM process. Instead of manually handling building parameters and transferring them between software platforms, Dynamo enables this process to be performed swiftly and with reduced risk of errors. This automation also enhances the accuracy of energy simulations conducted in Dymola using Modelica models. By integrating Dynamo into this workflow, the boundaries of how quickly and effectively the energy implications of design choices can be assessed are expanded.

Preliminary Results and Conclusions

Preliminary results indicate that the use of Dynamo significantly improves the BIM2BEM workflow, allowing for the quick and accurate modelling of the energy impacts of various design decisions. For example, the effect of the roof design and internal space planning choices on energy demand was investigated. Implementing Dynamo in IFC2Modelica framework facilitates the testing of different scenarios, enabling more informed decisions that align with energy efficiency goals. This approach not only increases the efficiency of the design process but also contributes to ensuring that the final building design is as efficient as possible.