Papers & Publications

Optimizing LED lighting: Reducing mass with generative design

Sarah da Silva Andrade and Lieven Vervecken

This white paper explores the application of generative design to optimize LED light fixtures for improved sustainability, cost-effectiveness, and thermal performance. By reducing fixture mass through advanced algorithms, manufacturers can decrease material usage, lower carbon emissions, and maintain performance standards. Highlighting case studies, the paper demonstrates how combining manual expertise with algorithmic design achieves significant efficiency gains and supports the industry's sustainability goals.

Learnings

  • Generative design enables significant weight reduction in LED fixtures, leading to lower material usage, reduced manufacturing costs, and minimized environmental impact.
  • Optimized designs maintain thermal performance within acceptable limits, ensuring the durability and reliability of LED systems.
  • Lighter fixtures contribute to decreased energy consumption during production, operation, and transportation, aligning with sustainability goals.
  • The hybrid approach, combining manual expertise with AI-driven design, achieves superior results in balancing performance and material efficiency.
  • Generative design techniques, such as topology optimization, allow for innovative geometries that improve heat dissipation and airflow.
  • Automation through generative design reduces human bias, accelerates the design process, and enhances the exploration of optimal solutions.
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