¹Ù·Î°¡±â ¸Þ´º

¹Ù·Î°¡±â ¸Þ´º º»¹®³»¿ë ¹Ù·Î°¡±â ¸ÞÀθ޴º ¹Ù·Î°¡±â

ÁÖ¿ä¾È³»

HOME »çÀÌÆ®¸Ê ENGLISH

FONT SIZE

ÆùƮũ±â Å°¿ò 100% 110% 120% 130% 140% ÆùƮũ±â ÁÙÀÓ
¸Þ´ºº¸±â

±¹³»ÇмúÁö³í¹®

Á¦¸ñ
(2021) Àü»êÀ¯Ã¼¿ªÇÐÀ» ÀÌ¿ëÇÑ À°°è»ç ³» °è±ºÀÇ ´Ù°ø¼º¸Åü Àû¿ë¿¡ µû¸¥ ¿Âµµ ºÐÆ÷ ºÐ¼®
ÀÛ¼ºÀÏ
2024-02-14
Á¶È¸¼ö
55


(2021) Àü»êÀ¯Ã¼¿ªÇÐÀ» ÀÌ¿ëÇÑ À°°è»ç ³» °è±ºÀÇ ´Ù°ø¼º¸Åü Àû¿ë¿¡ µû¸¥ ¿Âµµ ºÐÆ÷ ºÐ¼®
Analysis of air temperature distribution according to the application of porous media in the animal occupied zone using CFD

ÇÐȸÁö : Journal of Animal Environmental Science

ÀúÀÚ :  Á¤È¿Çõ, ¿©¿íÇö, ÀÌ»ó¿¬, ¹Ú¼¼ÁØ, ±èÁرÔ, Å©¸®½ºÆ¼³ª, ÃÖ¿µ¹è, Á¶Á¤È­, ÀÌÀκ¹*

°³¿ä
This study was conducted to determine the significance of the computational results according to the application of the porous media in the occupied zone when analyzing air temperature distribution in the broiler house using computational fluid dynamics. For such experimental conditions, outside air temperature was controlled in two circumstances : 1) air temperature in summer and 2) air temperature in winter. Also, ventilation methods were controlled in two circumstances as well : 1) tunnel ventilation and 2) cross ventilation, differentiating the amount of ventilation. In these controlled settings, the analysis of one way classification model was adopted to investigate the possible effects on the result. As a result, the calculation results showed significant differences depending on the application of porous media in all cases except for cases that run maximum ventilation during winter.


Å°¿öµå : Broiler house, Computational fluid dynamics (CFD), Porous media, Ventilation method

¸µÅ© : https://doi.org/10.11109/JAES.2021.23.3.129

´ÙÀ½±Û
(2023) °Ç¹°¿¡³ÊÁö½Ã¹Ä·¹À̼ÇÀ» È°¿ëÇÑ À°°è»ç »çÀ°È¯°æ ¹× ¿¡³ÊÁöºÎÇÏ Æò°¡, Part 1: ¸ðµ¨ °³¹ß ¹× °ËÁõ
/ A3EL
(2023) °Ç¹°¿¡³ÊÁö½Ã¹Ä·¹À̼ÇÀ» È°¿ëÇÑ À°°è»ç »çÀ°È¯°æ ¹× ¿¡³ÊÁöºÎÇÏ Æò°¡, Part 1: ¸ðµ¨ °³¹ß ¹× °ËÁõ Evaluation of rearing conditions and energy load in broiler house using building energy simulation, part 1: model development and validation ÇÐȸÁö : Ãà»ê½Ã¼³È¯°æÇÐȸÁö, Vol. 25(3), 98-108 ÀúÀÚ ..
ÀÌÀü±Û
(2023) ±â°èÇнÀÀ» È°¿ëÇÑ ÁöÇÏ °øµ¿±¸ ³»ºÎ ȯ°æ ¿¹Ãø
/ A3EL
(2023) ±â°èÇнÀÀ» È°¿ëÇÑ ÁöÇÏ °øµ¿±¸ ³»ºÎ ȯ°æ ¿¹Ãø Predicting Internal Environment of Underground Utility Tunnel Using Machine Learning Model ÇÐȸÁö : Journal of Korean Institute of Architectural Sustainable Environment and Building Systems ÀúÀÚ : ±è´ÙÀÎ, ÀÌÀκ¹*, Á¤¿ì¼®, À̺´Áø °³¿ä Und..