Engineering Computations (Swansea, Wales), ss.1-27, 2025 (SCI-Expanded, Scopus)
Purpose – This study aims to optimize stadium lighting energy consumption while ensuring maximum visual quality. Stadium lighting is essential for athletes’ performance, audience experience and broadcast quality. However, illuminating large areas incurs high energy costs. The main motivation is to develop a multi-objective optimization approach that enhances energy efficiency and lighting performance simultaneously. Design/methodology/approach – A custom MATLAB-based optimization model was developed to analyze stadium lighting performance. Experiments were conducted to evaluate the impact of pole height, field distance (X and Y axes) and fixture count on lighting efficiency. A multi-objective optimization framework was designed using response surface methodology (RSM), with 18 experimental runs performed. Findings – The optimal lighting setup was achieved in the fourth experiment, yielding 1, 213 Lux (horizontal) and 1724 Lux (vertical) illumination. The validation experiment confirmed improvements, reaching 1, 350 Lux (horizontal) and 1825 Lux (vertical), differing from RSM-based experiments. These results were obtained with energy consumption of 277 W/Lux (horizontal) and 205 W/Lux (vertical). The proposed optimization method resulted in a 32% improvement in energy efficiency and a 42% enhancement in lighting performance. The accuracy of the model was validated through real-field testing, achieving 89.1%–94.5% agreement with experimental results. Originality/value – This study presents a novel optimization approach for stadium lighting, contributing to energy savings, uniform illumination and lighting performance enhancement. For the first time in the literature, the energy required per unit lux (W/Lux) was systematically defined and analyzed using the special lighting energy consumption (SLEC) metric.