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인공지능망과 뉴로퍼지 모델을 이용한 주거건물 냉난방 시스템 조절 로직 및 예비 성능 시험
문진우,Moon, Jin-Woo 한국주거학회 2011 한국주거학회 논문집 Vol.22 No.3
This study aimed to develop AI- (Artificial Intelligence) based thermal control logics and test their performance for identifying the optimal thermal control method in buildings. For this objective, a conventional Two-Position On/Off logic and two AI-based variable logics, which applied ANN (Artificial Neural Network) and ANFIS (Adaptive Neuro-Fuzzy Inference System), have developed. Performance of each logic was tested in a typical two-story residential building in U.S.A. using the computer simulation incorporating MATLAB and IBPT (International Building Physics Toolbox). In the analysis of the test results, AI-based control logic presented the advanced thermal comfort with stability compared to the conventional logic while they did not show significant energy saving effects. In conclusion, the predictive and adaptive AI-based control logics have a potential to maintain interior air temperature more comfortably, and the findings in this study could be a solid foundation for identifying the optimal thermal control method in buildings.
남부지역 주거건물의 외피단열변화에 따른 에너지소비량 예측
문진우,한승훈,오세규,Moon, Jin-Woo,Han, Seung-Hoon,Oh, Sai-Gyu 한국주거학회 2011 한국주거학회 논문집 Vol.22 No.1
This study aimed at quantifying the impact of envelope insulation on energy consumption for thermal controls in residential buildings in southern part of Korea. A series of parametric simulations for a range of R-values of walls, roof, floor, and windows were computationally conducted for a prototypical Korean detached house. Analysis revealed that the total amount of heat gain was larger than that of heat loss, while the amount of energy for cooling was smaller than that for heating due to the difference of system efficiency; the envelope heat transfer was more significant for the heat loss, thus, the increase of the envelope insulation was more effective to reduce heating load; and there were certain levels of envelope insulation after which the energy saving effect was not significant. These findings are expected to be a fundamental database for the decision of proper insulation level in Korean residential buildings.
문진우,Moon, Jin Woo 한국토지주택공사 토지주택연구원 2019 LHI journal of land, housing, and urban affairs Vol.10 No.3
This study aimed at developing control algorithms for operating a variable refrigerant flow (VRF) heating and cooling system with optimal system parameter set-points. Two artificial neural network (ANN) models, which were respectively designed to predict the heating energy cost and cooling energy amount for upcoming next control cycle, was developed and embedded into the control algorithms. Performance of the algorithms were tested using the computer simulation programs - EnergyPlus, BCVTB, MATLAB in an incorporative manner. The results revealed that the proposed control algorithms remarkably saved the heating energy cost by as much as 7.93% and cooling energy consumption by as much as 28.44%, compared to a conventional control strategy. These findings support that the ANN-based predictive control algorithms showed potential for cost- and energy-effectiveness of VRF heating and cooling systems.
이중외피 건물의 냉방시스템 및 개구부의 통합 제어를 위한 규칙기반 제어로직의 개발
문진우(Jin Woo Moon),김상철(Sang-Chul Kim),김수영(Sooyoung Kim) 한국생활환경학회 2014 한국생활환경학회지 Vol.21 No.3
This study aims at suggesting an integrated rule-based logic for the optimal control of the heating device and openings of the double skin envelope buildings. Four different types of control logic were developed with different complexity of rules. Performance of the developed logic was numerically tested for a test module using the computer simulation method such as MATLAB (Matrix Laboratory) and TRNSYS (Transient Systems Simulation) in an incorporative manner. Analysis results revealed that as the rules were sub-divided for the proper thermal controls, the indoor temperature conditions were more comfortably maintained. However, the simplest rule-based logic consumed less energy for space cooling. Thus, if the thermal comfort is the major issue to be addressed, the sub-divided complex rule is beneficial to be applied. Or, the simple rule is more appropriate for the building energy efficiency.
강화된 건물 외피 단열기준의 지역별 냉난방에너지 감소 효과
문진우(Jin Woo Moon) 대한설비공학회 2011 설비공학 논문집 Vol.23 No.10
This study aimed at quantifying the impact of the reinforced standard for envelope insulation on heating and cooling energy consumption in a Korean detached house as well as at identifying the effect of regionally subdivided standards. For them, a series of simulations for application of the reinforced standard on respective walls, roof, floor, windows, and all envelopes were computationally conducted for a prototypical detached residential building. In addition, the subdivided standards were applied to each regions-central and southern regions, and the Jeju island. Analysis revealed that heat transfer through envelopes was the most significant source of building heat gain and loss; the reinforced standard effectively reduced heating energy consumptions, especially in central region; and the subdivided standards did not presented a clear difference in the amount of energy consumption for the southern region and the Jeju island, thus, a further study is required to investigate the necessity of regional subdivisions.
조명방식 및 색온도 조건에 따른 실내의 조명환경 인지분석
문진우(Jin Woo Moon),이지현(Ji-Hyun Lee),김수영(Sooyoung Kim) 한국생활환경학회 2014 한국생활환경학회지 Vol.21 No.3
The influences of lighting conditions, which is combined by color temperature and lighting types, on visual responses are discussed in this study. Visual annoyance tests were performed in a full-scale mock-up test space, which was prepared for a small private office environment. Lamps with color temperature of 3,500 K and 5,000 K were applied to a direct lighting type and direct/indirect lighting type. Results indicate that overall glare sensation for computer-based task was stronger than that of paper-based task. Color temperature of 3,500 K applied to a direct lighting type caused the worst glare. Overall, visual discomfort were not reported under all lighting conditions. The direct/indirect lighting type succeeded to ensure better comfort compared to the direct lighting type. The number of letters which were typed in showed no significant difference under all lighting conditions. In order to enhance good quality of lighting condition, the direct lighting type should ensure good color rendering, reduction of glare and prevention of tensed sensation. The direct/indirect lighting type condition should keep the space and desktop surface bright.
이중외피 건물의 개구부 및 난방설비 제어를 위한 인공지능망의 적용
문진우(Jin Woo Moon),김상민(Sang-Min Kim),김수영(Sooyoung Kim) 대한설비공학회 2012 설비공학 논문집 Vol.24 No.8
This study aims at developing an artificial neural network(ANN)-based predictive and adaptive temperature control method to control the openings at internal and external skins, and heating systems used in a building with double skin envelope. Based on the predicted indoor temperature, the control logic determined opening conditions of air inlets and outlets, and the operation of the heating systems. The optimization process of the initial ANN model was conducted to determine the optimal structure and learning methods followed by the performance tests by the comparison with the actual data measured from the existing double skin envelope. The analysis proved the prediction accuracy and the adaptability of the ANN model in terms of Root Mean Square and Mean Square Errors. The analysis results implied that the proposed ANN-based temperature control logic had potentials to be applied for the temperature control in the double skin envelope buildings.