Designing a Kinetic Facade Using BB-BC Algorithm with a Focus on Enhancing Building Energy Efficiency

The research focuses on developing a kinetic facade system for a two-story office building in Shiraz, Iran. The primary objective of the study is to enhance the building's energy efficiency by optimizing the design of a parametric, kinetic second skin using the Big Bang-Big Crunch (BB-BC) optimization algorithm.

Key Elements of the Research:

• Problem Addressed: High energy consumption in buildings due to inefficient facade designs, which do not adapt to changing environmental conditions.
• Proposed Solution: A kinetic facade (second skin) that can dynamically adjust to environmental changes, such as solar radiation, to optimize energy efficiency.
• Research Methodology:
• • The building was modeled using Rhino, Grasshopper, Ladybug, and Honeybee software tools.
  • Energy consumption was measured for a three-day period without a kinetic facade (baseline).
  • A parametric kinetic facade was then designed and optimized using the BB-BC algorithm in two stages:
  • 1. Static Optimization: The facade was optimized for a fixed design, reducing energy consumption by 28%.
    2. Dynamic Optimization: The facade was allowed to change form daily, further reducing energy consumption by an additional 4%.
• Results: The kinetic facade achieved a 28% reduction in energy consumption compared to the base model, demonstrating the effectiveness of kinetic facades in energy-efficient design.

Conclusion:

The study concluded that kinetic facades, when optimized using algorithms like BB-BC, can significantly enhance building energy efficiency. The research highlights the importance of adaptive designs in sustainable architecture.

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