Research on Optimization Scheme of Indoor Lighting Design Driven by Intelligent Algorithm

Lu Zhang
Additional contact information
Lu Zhang: Henan Technical College of Construction, China

International Journal of Ambient Computing and Intelligence (IJACI), 2025, vol. 16, issue 1, 1-14

Abstract: In view of the fact that traditional design relies on experience and static simulation software, with which it is difficult to meet the needs of dynamic scenes and multiple users, and the lighting energy consumption accounts for a high proportion of total building energy consumption, this paper constructs an intelligent, algorithm-driven indoor lighting design optimization scheme. The scheme integrated architectural space characteristics, environmental dynamic data, and user behavior patterns and realized the collaborative optimization of the lighting among multiple objectives, such as energy consumption, comfort, and functionality, through an innovative three-tiered architecture model. The empirical analysis showed that the energy consumption of lighting systems optimized by intelligent algorithms was significantly reduced in different functional areas, with an average reduction of over 15%, and the user comfort and health indicators were also greatly improved. This scheme provides a new direction for indoor lighting design, promotes the development of the intelligent building industry, and helps popularize green buildings.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.391284 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaci00:v:16:y:2025:i:1:p:1-14

Access Statistics for this article

International Journal of Ambient Computing and Intelligence (IJACI) is currently edited by Nilanjan Dey

More articles in International Journal of Ambient Computing and Intelligence (IJACI) from IGI Global Scientific Publishing
Bibliographic data for series maintained by Journal Editor ().