ABSTRACT The design of an indoor lighting system for a sustainable building should comply with the recommended maximum limit of lighting power density. The occupants’ visual comfort and visual performance are to be ensured by complying with some mutually conflicting lighting design parameters, such as maintained average illuminance, overall uniformity, and maximum unified glare rating, to the recommended limits. Judicious balance among these multiple conflicting design parameters is a practical design problem. This article aims to address these aspects of indoor lighting design by applying a particle swarm optimization (PSO) algorithm in a developed lighting computation program. The objective function is formulated with maximum or minimum limits for the design parameters recommended by international standards. The effectiveness of the developed program is evaluated by designing an indoor lighting system with commercially available luminaires for an office space that ensures optimized visual comfort, energy efficiency, and initial cost. Optimized results are validated by DiaLux simulation and a maximum deviation of 2.27% is found. Thus, the results show good agreement with DiaLux simulation and significant improvement in the uniformity of illuminance (0.90) compared to the recommended minimum value (0.70) and in discomfort glare (16) compared to the recommended allowable maximum value (19). The developed program establishes the usefulness of the PSO algorithm to optimize the luminaire layout for an indoor general lighting scheme.

中文翻译：

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通过粒子群优化优化灯具布局以实现视觉舒适和节能的室内通用照明方案

摘要 可持续建筑的室内照明系统设计应符合推荐的最大照明功率密度限制。将通过遵守一些相互冲突的照明设计参数来确保居住者的视觉舒适度和视觉性能，例如保持平均照度、整体均匀性和最大统一眩光等级，达到建议的限制。这些多个相互冲突的设计参数之间的明智平衡是一个实际的设计问题。本文旨在通过在开发的照明计算程序中应用粒子群优化 (PSO) 算法来解决室内照明设计的这些方面。目标函数是根据国际标准推荐的设计参数的最大或最小限制来制定的。通过为办公空间设计带有商用灯具的室内照明系统，可确保优化视觉舒适度、能源效率和初始成本，从而评估开发计划的有效性。优化结果通过 DiaLux 模拟验证，发现最大偏差为 2.27%。因此，结果显示与 DiaLux 模拟非常吻合，与推荐的最小值 (0.70) 相比，照度 (0.90) 的均匀性和不适眩光 (16) 与推荐的允许最大值 (19) 相比有显着改善。开发的程序确定了 PSO 算法在优化室内通用照明方案的灯具布局方面的有用性。