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)

Korean Journal of Air-Conditioning
and Refrigeration Engineering

A journal devoted to investigations of HVAC and building technologies in various climatic conditions

• Editors-in-Chief: Yun, Rin

최적화 기반 냉방 시스템 통합 운전 모델 개발 Development of an Integrated Operating Model for a Cooling System Based on Optimization

https://doi.org/10.6110/KJACR.2025.37.3.107

Jin-A Jeong ; Sheng-Hoon Park ; Ji-Yong Yu ; Eui-Jong Kim

This study aimed to enhance the accuracy of chiller system performance predictions by comparing a model based on fixed performance curves with an optimized model tailored to actual operating conditions. Key performance indicators, including Capacity, Coefficient of Performance (COP), and Fraction of Full Load (FFLP), were adjusted to align with operational data. Results indicated that the existing model, reliant on fixed experimental conditions, failed to adequately reflect dynamic operational changes, leading to discrepancies between predicted and actual power consumption. In contrast, the optimized model effectively incorporated real-time conditions, resulting in improved prediction accuracy and significantly reduced prediction errors. This underscores the necessity of refining performance curves for accurate chiller system predictions to enhance energy efficiency and cost savings. Future research should validate the effectiveness of this optimization method across diverse environments and develop real-time performance monitoring and optimization technologies using digital twin technology.

딥 러닝을 이용한 초임계 영역에서의 R1336mzz(Z) 열전달계수 상관식 개발에 대한 연구 A Study on the Development of a Heat Transfer Coefficient Correlation for R1336mzz(Z) in the Supercritical Region Using Deep Learning

https://doi.org/10.6110/KJACR.2025.37.3.119

Jin Man Kim ; Seon-Chang Kim

This study aimed to develop a heat transfer coefficient correlation for R1336mzz(Z) in the supercritical region using deep learning. The unique thermal behavior of supercritical fluids, especially around the pseudo-critical point where property variations are significant, poses challenges for traditional heat transfer coefficient correlations. To address this, an intermediate model was first generated based on experimental data to reduce overfitting risks, followed by deep learning model training. The deep learning approach improved the prediction accuracy for heat transfer coefficients over conventional correlations, effectively capturing rapid changes near the pseudo-critical temperature. The resulting model had a good agreement with experimental data across various conditions, showing a higher coefficient of determination than existing methods, indicating its potential for broader applications in supercritical fluid heat transfer prediction.

그린리모델링 사전 기획단계에서 개선 안 의사결정 툴의 개발 연구 A Study on the Development of Decision-making Tool for Improvement Plans in the Preliminary Planning Stage of Building Retrofit

https://doi.org/10.6110/KJACR.2025.37.3.131

Huijing Yan ; Jumi Baek ; Sowoo Park ; Ji Soo Shim ; Doosam Song

To achieve 2050 carbon neutrality in the building sector, the government is pushing for mandatory zero-energy buildings for new buildings and green remodeling to significantly improve energy efficiencies of existing buildings. In this study, we developed a green remodeling decision-making tool in preliminary planning stage that could calculate costs and perform energy performance analysis in the initial stage of creating an Excel-based user's input error based on ISO 13790, an internationally recognized building energy performance evaluation logic, to support green remodeling decision-making. Energy performance analysis through simple input was conducted and real-time linkage with ISO 13790 was used through application of technical elements for each target building to propose a plan to show the optimal energy saving effect for the target building. Final results are shown through a readable picture only for the optimal combination. Through case studies using the program, the optimal combination of technical elements was calculated with simple input and usability of the program was shown.

외기 엔탈피 변화 패턴을 활용한 사무실 건물 전력소비량 손실 데이터 복원에 관한 연구 A Study on Recovering Lost Data of Office Building Electric Power Consumption using Outdoor Air Enthalpy Variation Patterns

https://doi.org/10.6110/KJACR.2025.37.3.143

Jae Beom Jeon ; Young Il Kim

The Building Energy Management System (BEMS) continuously monitors and analyzes real-time energy consumption data such as electricity and gas to optimize efficiency and propose energy-saving strategies. However, communication failures, device malfunctions, and system updates can lead to missing or abnormal data, necessitating effective data recovery methods. Addressing these data gaps is crucial for maintaining reliability of energy analysis. Traditionally, simple linear interpolation has been used for data recovery. However, this method is prone to substantial inaccuracies. In addition, it is insufficient for complexities of energy systems. The power consumption of a building is heavily influenced by heating and cooling loads, which are closely related to outdoor conditions. To restore missing power consumption data, we proposed a method that could identify a day with similar changes in outdoor enthalpy variation - a function of temperature and humidity - as the day with missing data. Power consumption pattern from this similar day was then used to reconstruct lost data. The efficacy of the proposed method was evaluated using CV-RMSE (Coefficient of variation of root mean square error), demonstrating a high degree of accuracy, with recovered data showing a deviation of just 3.1% from actual values. This enhanced methodology not only can improve data recovery accuracy, but also can reinforce robustness of energy consumption analysis, thereby supporting more reliable energy management decisions.

긴급전환형 임시음압격리병실을 위한 저소음 일체형 및 분리형 이동형 음압기 개발과 성능평가 Development and Performance Evaluation of Low-Noise Integrated and Separated Type Portable HEPA Filter Units for Temporary Negative Pressure Isolation Rooms

https://doi.org/10.6110/KJACR.2025.37.3.151

Joo Yeon Roh ; Se Jin Lee ; Won Seok Lee ; Tae Young Park ; Dong Il Park ; Myoung Souk Yeo

This study aimed to address noise issues and concerns regarding contaminant re-entry in temporary negative pressure isolation rooms equipped with portable negative pressure units. To achieve this, we developed low-noise integrated portable HEPA filter unit and separated unit, in which fan and filter components were divided. We then evaluated their performance in both a healthcare facility and a simulated chamber, comparing with the existing integrated unit currently used in healthcare facilities. Results showed that the low-noise integrated unit significantly reduced noise levels compared to the existing integrated unit. The separated unit exhibited similar noise levels to the low-noise integrated unit at lower airflow rates but exhibited lower noise levels compared to the integrated unit as airflow increased. The separated unit also effectively prevented contaminant re-entry, with lower tracer gas concentrations observed in the patient room and hallway compared to the integrated unit during the chamber experiment.