Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)
Title Simulation-Based Real-time Performance Analysis of Flat Plate Solar Collector
Authors Il Kwon Kim ; Hee Won Lim ; Wang Je Lee ; Kyung Ho Lee ; U Cheul Sihn
Page pp.343-353
ISSN 1229-6422
Keywords 집열효율; 평판형집열기; 입사각수정인자; 태양열시스템 Collector efficiency; Flat-plate collector; Incident angle modifier; Solar thermal system
Abstract In this study, we proposed a remote monitoring system that incorporated a simulation-based algorithm for analyzing solar collector performance and conducted a field experiment to assess its feasibility. The experiment was carried out from October 2022 to April 2023 on a solar heating system installed in a greenhouse in Pohang, which had a collector area of 108 ㎡. We constructed a remote monitoring system using open-source openHAB in edge computing. The simulation model of the collector array utilized the performance prediction formula of ISO 24194:2022 and was analyzed in real-time using meteorological data measured at 1-minute intervals, as well as the flow rate and inlet/outlet temperatures of the collector. The real-time instantaneous useful heat gain by the collectors and collector efficiency obtained through the simulation model showed accurate agreement with the measured data, even under varying weather and operating conditions. The RMSE between the simulation model and measured data for instantaneous heat gain was found to be below 1.77 kW. Real-time simulation analysis of the remote monitoring system confirmed that it could provide high accuracy and reliability in predicting the dynamic behavior and thermal performance of flat-plate collectors. We expect that the monitoring system can serve as an efficient tool for real-time performance evaluation, fault detection, and diagnostic system development for solar thermal systems.