Laser & Optoelectronics Progress, Volume. 59, Issue 17, 1722002(2022)

Optimal Design of a Comprehensive Gymnasium Lighting System Based on Greedy Algorithm

Ying Yu1、*, Zihao Cui1, Xiao Chen1, and Qing Sun2
Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, Shaanxi , China
  • 2Institute of Architecture Design, Xi’an University of Architecture and Technology, Xi’an 710055, Shaanxi , China
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    In comprehensive gymnasium, the lighting system suffers from disadvantages such as large number of lamps, low utilization rate, and large initial investment. Based on this, according to the class V lighting standard, taking power consumption as the optimization goal, and choosing a greedy algorithm, we propose an optimization scheme for the position and projection angle of lamps for handball courts. Furthermore, based on the existing lamps, an optimal adjustment scheme for the number of switches and projection angles of lamps in basketball and volleyball courts is proposed. Taking the venue of the 14th National Games as an example, compared with artificial lighting, the number of light-emitting diode lamps in the handball venue is reduced by 16, the total power is reduced by 19416 W, and power consumption is reduced by 26%. The power consumption of lamps and lanterns in basketball and volleyball courts is decreased by 31% and 56%, respectively. The optimized lighting system based on the greedy algorithm can effectively reduce the number of field lamps. The optimal adjustment of lamps between different competition events improves the lamp-utilization rate, thereby reducing the early purchase and installation cost as well as considerably saving energy in the later operation stage.

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    Ying Yu, Zihao Cui, Xiao Chen, Qing Sun. Optimal Design of a Comprehensive Gymnasium Lighting System Based on Greedy Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(17): 1722002

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    Paper Information

    Category: Optical Design and Fabrication

    Received: Nov. 23, 2021

    Accepted: Dec. 28, 2021

    Published Online: Aug. 22, 2022

    The Author Email: Yu Ying (yuying@xauat.edu.cn)

    DOI:10.3788/LOP202259.1722002

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