24:T4d3,Purpose: PMV, PET, and similar thermal comfort indices and microclimate modeling have recently become actively used to evaluate thermal comfort. This study will look at pedestrian roads with diverse spatial characteristics on university campus using the ENVI-met model as the base for onsite measurement. Method: The PET was used as the thermal comfort index. The first microclimate measures were collected on September 20, 2014, and the second microclimate measures were collected on June 1, 2015. The ENVI-met model was used at the same time. Result: As a results, Onsite measurement results differed depending on the PET spatial characteristics. The location associated with the most discomfort had a PET of $47.8^{\circ}C$. The spatial characteristics of this place included a with no shade. The most comfortable location had shade, and the PET was $24.6^{\circ}C$. When the ENVI-met model and onsite measurements were compared, similar patterns were found, but with a few differences at specific points; this was due to the limitation of using input materials such as trees, buildings, and covering materials with the ENVI-met model. This factor must be thoroughly considered when analyzing modeling results.25:T41c,Purpose : This study is to provide basic data for energy performance evaluation of standard type and enlarged type collective housing using ECO2 and DesignBuilder softwares. Methods : Analyze the outline and characteristics of ECO2 and DesignBuilder program. The primary energy consumption with ECO2 was evaluated to compare the results under the same conditions as the DesignBuilder. A total of six models were simulated to compare the energy consumption of the Enlarged type and the Standard type for 84㎡, 74㎡ and 66㎡ of the collective housing. Results: 1) There are differences in the input variables of ECO2 based on static method and DesignBuilder based on dynamic method. 2)The Primary energy consumption of ECO2 was higher than DesignBuilder. 3)In the case of the standard type, primary energy consumption by heating and cooling was saved by the greenhouse effects and shade effects 4)ECO2 software should be improved so that information about adjacent zones such as balconies, utility rooms can be input to calculate more correct results.26:T4eb,Purpose: There is a growing interest in rainwater runoff reduction effect of green roof, as flooding caused by increasing impervious surface is becoming more and more frequent in urban areas. This study was conducted to prove runoff reduction and runoff delay effect of the retentive green roof and to investigate its influencing factors to the rainfall events that occurred in the summer of 2013. Method: The experiment intended to monitor the runoff quantity of the retentive green roof($140m^2$) and normal roof($100m^2$) in #35 building in Seoul National University, Seoul, Korea for 75 days in 2013. Result: On analysis of 9 rainfall events, it showed that the retentive green roof has 24.8~100% of runoff reduction ratio, 21.2~100% of peak flow reduction ratio, 0.5~3.75 hours of peak delay, and $1.8{\sim}7.2m^3$ of retaining capacity in an area of $140m^2$. It shows different results depending on rainfall and antecedent dry days. The results show that runoff reduction effect is effective when the rainfall is less than 50 mm and antecedent dry day is longer than five days on average. By installing retentive green roofs on buildings, it can help mitigate urban floods and rehabilitate urban water cycle.27:T5ea,

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1	Engineering	7	7	87
2	Social Sciences	5	5	58
3	Civil Engineering	4	4	52
4	Behavioral Sciences	1	1	12
5	Computer Engineering	1	1	10

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