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

Nataly Gabriela Valencia Pavón (), Alexander Aguila Téllez (), Marcelo García Torres, Javier Rojas Urbano and Narayanan Krishnan
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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

Energies, 2024, vol. 17, issue 9, 1-15

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.

Keywords: public lighting; multi-criteria decision; CRITIC method; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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