| Title |
Development of Plug-and-play Point Mapping Automation Technology for Efficient Deployment of Optimal Start Models for VRF Systems |
| Authors |
Yu Sung Lee ; Woo Hyun Kim |
| DOI |
https://doi.org/10.6110/KJACR.2023.35.11.566 |
| Keywords |
매핑 자동화; 에너지 절감; 최적 시작; 플러그 앤 플레이; 가변 냉매 흐름 시스템 Auto-mapping; Energy saving; Optimal starting; Plug-and-play; Variable Refrigerant Flow system |
| Abstract |
The optimal starting calculates the optimal operation time to reach the set temperature based on the energy balance equation. Various points such as the room, set, and outdoor air temperature must be manually mapped for the field application of the optimal start model. The main goal of this study was to solve the problems of wasting time, cost, and energy when the optimal starting models of the variable refrigerant flow (VRF) system are manually deployed. Plug-and-play point mapping automation replaces the original point labels with alternative representations with the most similar labels by calculating similarities based on the Zaro-Winkler distance. The optimal start model uses only low-cost temperature sensors to provide the unique time required for pre-cooling of multiple spaces. To evaluate the proposed method, the mapping results were explained by organizing the point mapping automation results, and the energy saving performance using several outdoor units was tested. Consequently, the point mapping automation has replaced the original label of the temperature sensor with a representation recognizable by the optimal start model. In the experiment, a total of three outdoor units were used to save 35.5% of power consumption. |