Luminotechnical Calculation Algorithm for Public Lighting in VBA

Public lighting is essential for urban quality of life and safety. With the advent of LED technology and increasing energy efficiency directives, its modernization has become increasingly important. This study developed a VBA algorithm to optimize the technological transition of public lighting, focusing on reducing simulation time and installed power. Using the lighting projects from Teresina/PI's Public-Private Partnership (PPP) as a reference, the algorithm was validated through comparisons with DIALux 4.13 software. The results demonstrated that the algorithm achieved a Mean Absolute Percentage Error (MAPE) below 8% for luminance and illuminance calculations, indicating high accuracy. Furthermore, it significantly reduced simulation time, completing 13,161 simulations in 37 hours, compared to 2,121 simulations in 140 hours using DIALux. These results highlight the algorithm's efficiency and effectiveness.

Authors

Publication Details

Journal
Journal of Bioengineering, Technologies and Health
Published
2025-05-22
DOI
https://doi.org/10.34178/jbth.v8i2.483
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
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article

Luminotechnical Calculation Algorithm for Public Lighting in VBA

Kleber M. Silva, Wellington Pinheiro dos Santos, Igor S. Novais
Journal of Bioengineering, Technologies and Health
Impact of Light on Environment and Health
article

Luminotechnical Calculation Algorithm for Public Lighting in VBA

Kleber M. Silva, Wellington Pinheiro dos Santos, Igor S. Novais
article en

Abstract

Public lighting is essential for urban quality of life and safety. With the advent of LED technology and increasing energy efficiency directives, its modernization has become increasingly important. This study developed a VBA algorithm to optimize the technological transition of public lighting, focusing on reducing simulation time and installed power. Using the lighting projects from Teresina/PI's Public-Private Partnership (PPP) as a reference, the algorithm was validated through comparisons with DIALux 4.13 software. The results demonstrated that the algorithm achieved a Mean Absolute Percentage Error (MAPE) below 8% for luminance and illuminance calculations, indicating high accuracy. Furthermore, it significantly reduced simulation time, completing 13,161 simulations in 37 hours, compared to 2,121 simulations in 140 hours using DIALux. These results highlight the algorithm's efficiency and effectiveness.

Journal of Bioengineering, Technologies and HealthVol. 8(2)
Openalex Percentile: Top 89%
Impact of Light on Environment and Health
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