| ³í¹®¸í |
°ÇÃ๰ ¿¡³ÊÁöÈ¿À²µî±Þ ¹ÌÆò°¡ °ø°£(³Ã?³¹æ ¹Ì¼³Ä¡ °ø°£)ÀÇ Æò°¡¸¦ À§ÇÑ ÀÔ·Â µ¥ÀÌÅÍ ¹× Àû¿ë ¹æ¾È Á¦½Ã / Suggestion of Input Data and Application Plan for Evaluating the Building Energy Efficiency Rating Unevaluated Space (Without Heating and Cooling) |
| ÀúÀÚ¸í |
¼¿ì¼®(Seo, Woo-Seok) ; À¯µ¿Ã¶(Yoo, Dong-Chul) ; ÀåÇâÀÎ(Jang, Hyang-In) ; ½ÅÇöÁ¤(Shin, Hyun-Jung) ; ¹Úº´À±(Park, Byoung-Yoon) ; ÃÖâȣ(Choi, Chang-Ho) |
| ¼ö·Ï»çÇ× |
Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸ ³í¹®Áý, Vol.15 No.1 (2021-02) |
| ÆäÀÌÁö |
½ÃÀÛÆäÀÌÁö(27) ÃÑÆäÀÌÁö(13) |
| ÁÖÁ¦¾î |
°ÇÃ๰ ¿¡³ÊÁöÈ¿À²µî±Þ; °øµ¿ÁÖÅÃ; ÀÓ´ë°ø°£; ÀÔ·Â µ¥ÀÌÅÍ ; Building Energy Efficiency Rating; Apartment Housing; Tenant Space; Input Data |
| ¿ä¾à2 |
The purpose of this study is to create data so that unevaluated spaces can be evaluated to resolve the uncertainty arising from the spaces excluded from evaluation due to the absence of a cooling/heating system, such as apartment housing or tenant space, when certifying the energy efficiency of a building. Therefore, the main cooling system was investigated for apartment housings and the main building usage and the main cooling and heating system were investigated for tenant spaces. Accordingly, data was created by checking the ECO2 input data, which is the main program used to evaluate the energy efficiency of a building. Its error rate was verified through comparison with the case of a building energy efficiency rating to verify the created data. As a result, the apartment housing data was calculated with an energy consumption of about 7%, and the tenant space data was calculated with an error rate of 10% and a confidence level of 90%. Regarding apartment housings, the air conditioning days are different for each region and it is judged that a deviation occurred because the energy consumption was calculated based on the data of the minimum consumption efficiency standard. In addition, regarding tenant spaces, it is judged that an error occurred because the load calculation criteria are different depending on the characteristics of a space within the neighborhood living facilities. Therefore, it is believed that the application of data created in this study will contribute to the improvement of building energy efficiency certification system. |