BIM based Multi Objective Building Life Cycle Energy Performance Evaluation Using Particle Swarm Optimization

Building energy performance evaluation is a multi-objective problem that plays crucial role in reducing environmental effects and energy costs, especially for energy importing countries to minimize its adverse effect on politics and economy. Moreover, two-fifth of world energy consumption and thirty percent of CO2 emission belong to buildings and services. Building energy performance is estimated by steady state and dynamic energy calculation methods whereas dynamic simulation performs more accurate results than steady-state ones. However, despite being more effective, dynamic energy simulation tools such as EnergyPlus have limitations as they do not inherit parametric relationships between building elements even when design information is received from Building Information Modeling (BIM) tools. The parametric modeling features in BIM tools can be leveraged when building energy performance is calculated by using Dynamo visual programming interface to evaluate design alternatives. In this study, a methodology to optimize building life cycle energy performance by exploring alternatives in material and geometric properties of building windows is explained. Multiobjective Particle Swarm Optimization (MOPSO), is used to minimize life cycle cost, life cycle CO2 equivalent emission (GWP), and initial cost of building based on design alternatives altered via Dynamo-BIM interface. In this methodology, design alternatives are planned to be selected according to MOPSO coded in Dynamo based on energy performance of design variables measured by Green Building Studio and sent to Dynamo as outputs to calculate fitness values of objectives. In this study, Dynamo interacts with BIM software to change window properties and optimization algorithm is coded in Dynamo and tested with a multi-objective problem. The result shows that MOPSO works in Dynamo efficiently by generating multiple non-dominated solutions. As a future study, interaction between Dynamo optimization and Dynamo-BIM interface will be provided to optimize BIM-based building energy performance.
Citation Formats
M. Altun and A. Akçamete Güngör, “BIM based Multi Objective Building Life Cycle Energy Performance Evaluation Using Particle Swarm Optimization,” presented at the CIB W78 conference 2015 (27 - 29 Ekim 2015), Eindhoven, The Netherlands, 2015, Accessed: 00, 2021. [Online]. Available: