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김태호(Tae-Ho Kim),유성연(Seong-Yeon Yoo),한규현(Kyu-Hyun Han),강형철(Hyoung-Chul Kang),윤홍익(Hong-Ik Yoon) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.12
To estimate the building energy consumption, solar insolation data are used in conjunction with temperature and humidity. A reliable and simple method to predict the clearness index of decomposition model for solar insolation are proposed. Sensitivity analysis for factors affecting the clearness index are performed, and the sky condition and relative humidity are found to be most influential. An artificial neural network as well as conventional polynomial equation are used to find the relation between the clearness index and the factors, and results are compared. The predicted data of horizontal solar insolation show good agreement with the measured data.
한규현(Kyu-Hyun Han),박준택(Jun-Teck Park),강형철(Hyoung-Chul Kang),김태호(Tae-Ho Kim),유성연(Seong-Yeon Yoo) 대한설비공학회 2016 대한설비공학회 학술발표대회논문집 Vol.2016 No.6
This study presents an method predicting outdoor air temperature of next day using measured data in field shelter. Predicting model using measured data be implemented by using double exponential smoothing model, weighting values of the model are optimized using genetic algorithms. As a result of implementing double exponential smoothing model from ten days measured data, weight values are represented in identical values(α=0.989, γ=0.584), modeling error been represented in less than 0.3%. The comparison result between measured data and predicted data from implemented model be represented in 0.63 of correlation coefficient R². The main cause of prediction error be considered that double exponential smoothing model could not describe random walk from sudden change of outdoor temperature.
김태호(Tae-Ho Kim),유성연(Seong-Yeon Yoo),한규현(Kyu-Hyun Han),윤홍익(Hong-Ik Yoon),강형철(Hyoung-Chul Kang) 대한기계학회 2012 대한기계학회 춘추학술대회 Vol.2012 No.11
As the modern buildings are gradually air-tightened for energy saving, the important of ventilation is increasingly being emphasized. The purpose of this study is to develop ventilation control method considering outdoor cooling/heating loads as well as indoor air quality. Two control methods, control of allowable CO₂ concentrations and control of fan flow rates, are investigated and the results are compared. Allowable concentrations are adjusted using a ON/OFF control, and fan flow rates are controlled using a fuzzy algorithm. Comparing with the existing control method, a little increase of CO₂ concentration is found, but more than 10% of energy is saved. If the appropriate correction of fuzzy rule is made depending on the site, more positive results could be obtained.