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Optimal Selection of Distribution, Power, and Type of Luminaires for Street Lighting Designs Using Multi-Criteria Decision Model

Author

Listed:
  • Nataly Gabriela Valencia Pavón

    (Electrical Engineering Career, Universidad Politécnica Salesiana, Quito 170525, Ecuador)

  • Alexander Aguila Téllez

    (Electrical Engineering Career, Universidad Politécnica Salesiana, Quito 170525, Ecuador)

  • Marcelo García Torres

    (Electrical Engineering Career, Universidad Politécnica Salesiana, Quito 170525, Ecuador)

  • Javier Rojas Urbano

    (Faculty of Computer Science and Electronics, Escuela Superior Politécnica de Chimborazo, Riobamba 060155, Ecuador)

  • Narayanan Krishnan

    (Department of EEE, SASTRA Deemed to be University, Thanjavur 613401, India)

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 arrangements. By employing a linear additive model to solve a multi-criteria decision model, 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 and installation costs and maximizing energy efficiency. The proposed methodology is implemented through an algorithm developed in MATLAB R2023b, with results validated through simulations in DIALux evo 12.0. 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.

Suggested Citation

  • Nataly Gabriela Valencia Pavón & Alexander Aguila Téllez & Marcelo García Torres & Javier Rojas Urbano & Narayanan Krishnan, 2024. "Optimal Selection of Distribution, Power, and Type of Luminaires for Street Lighting Designs Using Multi-Criteria Decision Model," Energies, MDPI, vol. 17(9), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:9:p:2194-:d:1388070
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    References listed on IDEAS

    as
    1. Andrés Rengel & Alexander Aguila Téllez & Leony Ortiz & Milton Ruiz, 2023. "Optimal Insertion of Energy Storage Systems Considering the Economic Dispatch and the Minimization of Energy Not Supplied," Energies, MDPI, vol. 16(6), pages 1-26, March.
    2. Dodgson, JS & Spackman, M & Pearman, A & Phillips, LD, 2009. "Multi-criteria analysis: a manual," Economic History Working Papers 12761, London School of Economics and Political Science, Department of Economic History.
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    Cited by:

    1. Marek Kurkowski & Tomasz Popławski & Henryk Wachta & Dominik Węclewski, 2025. "Energy Audit of Road Lighting Installations as a Tool for Improving Efficiency and Visual Safety Conditions," Energies, MDPI, vol. 18(20), pages 1-27, October.

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