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채창우,송창섭,Chae, Chang-Woo,Song, Chang-Seob 한국농공학회 2012 한국농공학회논문집 Vol.54 No.5
In this paper it was analyzed that the mechanical properties, the permeability and the freezing properties of SB-2 materials which are mainly used with the subbase materials. To this ends, a series of the physical test, the permeability test and the freezing test were carried out the samples mixed the small aggregate and the big aggregate from which was re-classified the SB-2. From the test results, it was analyzed the characteristics of permeability and the characteristics of freezing of the samples. And it was reviewed for SB-2 materials that the use of possibility for the freezing prevention layer material.
채창우 ( Chae Chang Woo ),송창섭 ( Song Chang Seob ) 한국농공학회 2008 한국농공학회 학술대회초록집 Vol.2008 No.-
This study focus on analyze the present actual condition and establish eco-environmental rehabilitation plan for agricultural reservoirs. To research that the present agricultural reservoir condition and using actual condition different purpose. It is made plans which are farming and fishing villages` business incomes, tourist resorts and infrastructure between the rural and urban. Form the result, it is very important to take measure about facility management and water conservation for water of reservoirs for agriculture. To apply rehabilitation and eco-environmental construction for agricultural reservoir will be set up systematic standard through using the water’s edge space.
시간 분할 기법을 이용한 냉난방 에너지 추정 및 벤치마킹
안기언(Ki Uhn Ahn),김덕우(Deuk-Woo Kim),이승언(Seung-Eon Lee),채창우(Chang-U Chae),조현미(Hyun Mi Cho) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
Existing building energy benchmarking is evaluated based on the total energy use intensity, making it difficult to evaluate the relative cooling and heating energy determined by seasonal building characteristics and operation. An Information Gain based Temporal Segmentation(IGTS) method, an unsupervised segmentation technique), was used to identify the seasonal transition times in patterns of hourly weather and building energy use. This study classified four seasons by IGTS for 12 commercial buildings and estimated the base-load, cooling and heating energy. For 12 buildings, the estimated and measured heating and cooling energy during the summer and winter periods showed a linear relationship of R² 0.966, and those of rank difference in benchmarking results is marginal.
시간 분할 기법을 이용한 냉난방 에너지 추정 및 벤치마킹
안기언(Ki Uhn Ahn),김덕우(Deuk-Woo Kim),이승언(Seung-Eon Lee),채창우(Chang-U Chae),조현미(Hyun Mi Cho) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
Existing building energy benchmarking is evaluated based on the total energy use intensity, making it difficult to evaluate the relative cooling and heating energy determined by seasonal building characteristics and operation. An Information Gain based Temporal Segmentation(IGTS) method, an unsupervised segmentation technique), was used to identify the seasonal transition times in patterns of hourly weather and building energy use. This study classified four seasons by IGTS for 12 commercial buildings and estimated the base-load, cooling and heating energy. For 12 buildings, the estimated and measured heating and cooling energy during the summer and winter periods showed a linear relationship of R² 0.966, and those of rank difference in benchmarking results is marginal.
시간 분할 기법을 이용한 냉난방 에너지 추정 및 벤치마킹
안기언(Ki Uhn Ahn),김덕우(Deuk-Woo Kim),이승언(Seung-Eon Lee),채창우(Chang-U Chae),조현미(Hyun Mi Cho) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
Existing building energy benchmarking is evaluated based on the total energy use intensity, making it difficult to evaluate the relative cooling and heating energy determined by seasonal building characteristics and operation. An Information Gain based Temporal Segmentation(IGTS) method, an unsupervised segmentation technique), was used to identify the seasonal transition times in patterns of hourly weather and building energy use. This study classified four seasons by IGTS for 12 commercial buildings and estimated the base-load, cooling and heating energy. For 12 buildings, the estimated and measured heating and cooling energy during the summer and winter periods showed a linear relationship of R² 0.966, and those of rank difference in benchmarking results is marginal.