| Title |
Energy Performance Analysis of a Predictive Lighting Control System in Convenience Store |
| Authors |
Seo-Hoon Kim ; Jong-Bin Park |
| DOI |
https://doi.org/10.5207/JIEIE.2026.40.3.164 |
| Keywords |
Convenience store; CPLC; Energy saving; Lighting control; Markov chain; Predictive lighting; Smart building; Smart lighting system |
| Abstract |
This study investigates the energy saving performance of a context aware predictive lighting control system applied to a real convenience store environment. A smart lighting system based on Closed Circuit Power Line Communication (CPLC) was deployed, and four lighting control strategies Zone Based Reactive Control, Product Focused Control, Rest Adaptive Control, and Trajectory Predictive Control were implemented and evaluated over a 61 day period. The predictive control strategy employs a first order Markov chain model to estimate user movement trajectories and proactively adjust lighting conditions. Energy consumption was analyzed in terms of hourly patterns and daily totals, and the performance of each control strategy was compared with a baseline scenario in which all lighting fixtures operated continuously at full output (18.2kWh/day). The results indicate that all control strategies are expected to achieve energy savings. Among them, Trajectory Predictive Control was estimated to reduce average daily lighting energy consumption to 11.1kWh/day, corresponding to an estimated energy saving of approximately 39.0% compared with the baseline condition. These results demonstrate the practical effectiveness of predictive lighting control for energy-efficient operation in small commercial spaces and highlight its potential applicability to retrofit lighting systems in commercial buildings. |