Paper Conference

Proceedings of BSA Conference 2022: Fifth Conference of IBPSA-Italy


Optimization of Daylighting and Energy Performance in Bangladesh Ready-Made Garment Factories: Use of Parametric Design, Simulation Modeling, and Genetic Algorithms

Md Ashikur Rahman Joarder, Md Monir Hossain, Aaron J.E. Bach, Jean P. Palutikof, Fahim Tonmoy

Abstract: The ready-made garment (RMG) sector is an essential contributor to the economy of Bangladesh. Most RMG buildings in the country are often found to be inefficient in terms of natural light, energy consumption and the thermal comfort of the workers. Computational modeling, simulation and optimization analysis could be used during the building planning and design phases to effectively integrate these three issues and improve the working environment. This research first evaluates both daylighting and energy performance of a real-world existing air-conditioned RMG factory building in Dhaka. Next, an optimized design solution is proposed for the factory. Finally, we correlate the relationship between design variables and performance metrics. Nine independent variables (north, south, east and west window-to-wall ratios and shading; and skylights) are identified to evaluate performance. The variables are connected with parametric sliders (value expressed by a range of numbers despite a constant value), so that performance can be checked for different possible configurations. Rhinoceros, Grasshopper, ClimateStudio, Octopus, TT toolbox, and Energy plus TM software with plugins are used to conduct the optimization process. Genetic Algorithms are used to narrow down the optimization results and identify the best options that comply with the multi-objective goal. Predicted Percentage of Dissatisfaction (PPD) is also analyzed for the best options identified from the optimization process. The result shows the balanced option (best for both daylighting and energy) with changed materials satisfies the thermal comfort of users.
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