°ÇÃ൵½Ã°ø°£¿¬±¸¼Ò

Architecture & Urban Research Institute

pdf¿ø¹®º¸±â ¿¡·¯ ÇØ°á¹æ¹ý ¹Ù·Î°¡±â



¹®ÇåȨ > ¿¬±¸³í¹® > »ó¼¼

[¿ø¹®º¸±â½Ã ¼ÒºñµÇ´Â Æ÷ÀÎÆ® : 100 Æ÷ÀÎÆ®] ¹Ì¸®º¸±â Àοë

Çѱ¹»ýÅÂȯ°æ°ÇÃàÇÐȸ|KIEAE Journal 2020³â 4¿ù

³í¹®¸í Çб³½Ã¼³ ÃÖÀû ½Ç³»°ø±âÁú Á¦°øÀ» À§ÇÑ È¯±â½Ã½ºÅÛ ¹× Á¦¾î ¹æ¹ý ºÐ¼® / Analysis of Ventilation Systems and Control Methods for Optimal Indoor Air Quality in School Buildings
ÀúÀÚ¸í ÃÖ¿µÀç(Young Jae Choi) ; ¹Úº¸¶û(Bo Rang Park) ; ¼Û¿ë¿ì(Yong Woo Song)½Äº°ÀúÀÚ ; ÃÖÀºÁö(Eun Ji Choi) ; ¹®Áø¿ì(Jin Woo Moon)
¹ßÇà»ç Çѱ¹»ýÅÂȯ°æ°ÇÃàÇÐȸ
¼ö·Ï»çÇ× KIEAE Journal, Vol.20 No.2(Åë±Ç 102È£) (2020-04)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(131) ÃÑÆäÀÌÁö(7)
ISSN 2288-968X
ÁÖÁ¦ºÐ·ù ȯ°æ¹×¼³ºñ
ÁÖÁ¦¾î Çб³ ½Ç³»°ø±âÁú; ȯ±â½Ã½ºÅÛ; ÃÖÀû Á¦¾î¾Ë°í¸®Áò ; School Indoor Air Quailty; Ventilation System; Optimal Control Algorithm
¿ä¾à2 Purpose: Recently, as the interest in particulate matter increased, standards for indoor air quality (IAQ) in schools have been strengthened. Among indoor air pollutants, the main issue for school IAQ is carbon dioxide (CO2) and particulate matter (PM). To satisfy CO2 and PM concentration standard, the mechanical ventilation is essential.
However, most systems are operating without the optimal control methods which result in inefficient system operation. Thus, the purpose of this study is to analyze ventilation regulations, system and control methods to establish the theoretical basis for developing the optimal control algorithm. Method: Regulations and researches of school ventilation were compared by cases to identify deficiencies of ventilation systems. Result: Domestic regulations were insufficient for properly operating ventilation systems and for managing the indoor air quality compared to other countries. Most researches focused on reducing the energy consumption of the system and CO2 concentration. Therefore, the optimal control algorithm for school ventilation system is required which considers various indoor air pollutant elements and supplies comfortable indoor air quality conditions.
¼ÒÀåó Çѱ¹»ýÅÂȯ°æ°ÇÃàÇÐȸ
¾ð¾î Çѱ¹¾î
DOI http://dx.doi.org/10.12813/kieae.2020.20.2.131
¡á Ãßõ¹®Çå (ÀÌ ¹®Çå°ú °°ÀÌ º» ¹®Çå)
[ƯÁý] ģȯ°æ °ÇÃ๰ÀÇ °³³ä ¹× °èȹ ¹æ¹ý
À±Á¾È£ - °ÇÃàȯ°æ¼³ºñ(Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸÁö) : v.1 n.2 (200710)
¿­È¸¼öÇü ȯ±âÀåÄ¡ Àû¿ë ½Ã ´ÙÁßÀÌ¿ë½Ã¼³ÀÇ È¯±âȽ¼ö¿¡ µû¸¥ ³Ã¡¤³­¹æºÎÇÏ¿Í °¨¿°·ü
Àå¼Ò¹Ì(Somi Jang) ; °íÀ¯Áø(Yujin Ko) ; ¹Úº¸°æ(Bokyung Park) ; È«Èñ±â(Hiki Hong) - ¼³ºñ°øÇÐ³í¹®Áý : Vol.33 No.4 (202104)
°øµ¿ÁÖÅà ¹Ì¼¼¸ÕÁö ÇöȲ ¹× Àú°¨¼º´É Æò°¡¿¡ °üÇÑ ¿¬±¸
Á¤¹ÎÈ£(Min Ho Chung) ; ¹è»óȯ(Sang Hwan Bae) ; ÀÌÇöÁ¤(Hyun Jung Lee) - ´ëÇѼ³ºñ°øÇÐȸ 2015³âµµ ÇϰèÇмú¹ßÇ¥´ëȸ : (201506)
âȣÇü ȯ±âÀåÄ¡¿¡ ÀÇÇÑ ¾ÆÆÄÆ®ÀÇ È¯±â¼º´É¿¡ ´ëÇÑ ¿¬±¸
ÀåÇöÀç(Hyun-Jae Chang) ; ±èÇüÁø(Hyung-Jin Kim) - ¼³ºñ°øÇÐ³í¹®Áý : Vol.23 No.03 (201103)
[ƯÁý] °øµ¿ÁÖÅà ȯ±â¼³ºñ¿Í ½Ç³»°ø±âÁú °³¼±
¹Úö¿õ - °ÇÃàȯ°æ¼³ºñ(Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸÁö) : Vol.11 No.1 (201701)
ûÁ¤°Ç°­ÁÖÅà ½Ç³» ¸¶°¨ÀÚÀç ÇöȲ ºÐ¼®¿¡ °üÇÑ ¿¬±¸
¹æÇöÁÖ ; ÃÖ»óÇå - Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ Çмú¹ßÇ¥´ëȸ ³í¹®Áý : Á¦13±Ç 1È£ (201105)
°í¼º´É ȯ±â½Ã½ºÅÛ
À̼º±Ù - ¼³ºñÀú³Î(´ëÇѼ³ºñ°øÇÐȸÁö) : Vol.47 No.07 (201807)
[ƯÁý] °ø±âûÁ¤±â¿ë Àû¿ë ¼¾¼­ ¹× Big DataȰ¿ë
¹ÚÂùÁ¤ - °ÇÃàȯ°æ¼³ºñ(Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸÁö) : Vol.12 No.2 (201804)
[ƯÁý] ¹Ì¼¼¸ÕÁöÀÇ ÀÔ°æ¿¡ µû¸¥ Ư¼º ¹× ½Ç³» ¿µÇâ
À̺´Èñ - °ÇÃàȯ°æ¼³ºñ(Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸÁö) : Vol.12 No.2 (201804)
[½Ã·Ð] 4Â÷ »ê¾÷Çõ¸í ½Ã´ë, °ÇÃàÀÇ ´ëÀÀ
À̸í½Ä(Lee, Myung-Sik) - °ÇÃà(´ëÇѰÇÃàÇÐȸÁö) : Vol.61 No.05 (201705)