This paper presents an optimization-based simulation method to evaluate architectural parameters' impacts on the buildings' energy performance in different climate zones. To achieve this goal, a building energy simulator software EnergyPlus has been coupled to the particle swarm optimization algorithm by GenOpt program to determine the decision variables' optimal values. The decision parameters include building orientation, material properties, window size, overhang tilt, green roof type, and phase change MPSaterial type and position. In the optimization process, the impact of each variable and their cumulative impacts has been investigated. This method was applied for a building in different climates of Iran, and the results indicated that 8.92–19.44% of energy saving could be achieved depending on climate conditions. At the same time, the phase change material has the most considerable role in this saving process. The most and least amount of energy saving belongs to cold and hot-humid climates, respectively. This study's findings have revealed that this approach can be applied to indicate the impact of climatic and architectural parameters on buildings' energy-saving potential.
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Abbasizade, F., Abbaspour, M. Developing an optimization-based simulation approach for building energy performance evaluation (case study: Iran). Int J Energ Water Res (2021). https://doi.org/10.1007/s42108-020-00112-2
- Building energy performance
- Energy saving
- Particle swarm optimization (PSO)