Valencia Pavón, N.G.; Aguila Téllez, A.; García Torres, M.; Rojas Urbano, J.; Krishnan, N. Optimal Selection of Distribution, Power, and Type of Luminaires for Street Lighting Designs Using Multi-Criteria Decision Model. Energies2024, 17, 2194.
Valencia Pavón, N.G.; Aguila Téllez, A.; García Torres, M.; Rojas Urbano, J.; Krishnan, N. Optimal Selection of Distribution, Power, and Type of Luminaires for Street Lighting Designs Using Multi-Criteria Decision Model. Energies 2024, 17, 2194.
Valencia Pavón, N.G.; Aguila Téllez, A.; García Torres, M.; Rojas Urbano, J.; Krishnan, N. Optimal Selection of Distribution, Power, and Type of Luminaires for Street Lighting Designs Using Multi-Criteria Decision Model. Energies2024, 17, 2194.
Valencia Pavón, N.G.; Aguila Téllez, A.; García Torres, M.; Rojas Urbano, J.; Krishnan, N. Optimal Selection of Distribution, Power, and Type of Luminaires for Street Lighting Designs Using Multi-Criteria Decision Model. Energies 2024, 17, 2194.
Abstract
This article introduces an innovative design method for public lighting systems that surpasses the limitations of conventional approaches, which rely on predefined lamp characteristics and spatial arrangement. By employing a multi-criteria decision algorithm, our study proposes an optimal design methodology considering several key aspects, including the distance between lamps, their type, power, and light distribution. The goal is to achieve optimal illumination that enhances visibility on public roads for drivers and pedestrians while simultaneously minimizing glare, installation costs and maximizing energy efficiency. The proposed methodology is implemented through an algorithm developed in Matlab, with results validated through simulations in Dialux. This information is used to construct a decision matrix, assessed using the CRITIC method across 180 different scenarios within a specific case study. The findings demonstrate the effectiveness of multi-criteria decision-making as a tool for significantly improving the planning and design of lighting in public illumination systems, allowing for selecting the optimal combination of parameters that ensure the best lighting conditions.
Keywords
Public lighting; Multi-criteria decision; CRITIC method; Optimization
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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