A genetic algorithm-based optimization for occupational lighting design: Enhancing visual comfort and reducing energy consumption in a workplace

The Indoor lighting design in modern buildings is a critical component of occupational health and safety, significantly impacting visual comfort, occupant well-being, and energy efficiency. Eye discomfort, commonly experienced during working hours, can result from inadequate lighting, excessive brightness, exposure to X-rays, or other ionizing radiation and heat sources. On the other hand, the rising global energy costs cause owner to implement strategies to curtail energy consumption. These challenges have attracted significant attention in the field of sustainable development, especially in relation to green building practices. This paper seeks to address this issue by developing strategies for optimizing interior lighting design parameters to interplay between occupant health and energy efficiency. This study presents a novel approach that utilizes the Genetic Algorithm to optimize the complexities of lighting design, balancing multiple objectives such as illuminance uniformity, glare reduction, and energy consumption in the DIALux software. By applying the GA -based lighting optimization, the average illuminance in the laboratories approached the ideal level of ۵۰۰ lx, light uniformity was improved, glare levels were reduced by approximately ۶ units, and annual energy consumption was reduced by ۱۲,۲۰۵ kWh (a ۴۷.۴% reduction compared to the baseline).

کلیدواژه ها:

Occupational Lighting ، Energy Efficiency ، Lighting Optimization ، Genetic algorithm (GA)