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돈사의 시설 및 환기구조에 따른 돼지 호흡기성 질병 발생 가능성
서일환 ( Seo I. -h. ),이인복 ( Lee I. -b. ),황현섭 ( Hwang H. -s. ),홍세운 ( Hong S. -w. ),( Jessie P. Bitog ),유재인 ( Yoo J. I. ),권경석 ( Kwon K. -s. ),김용희 ( Kim Y. -h. ) 한국농공학회 2008 한국농공학회 학술대회초록집 Vol.2008 No.-
The typical diseases for pigs in Korea are Porcine epidemic diarrhea (PED), Porcine reproductive and respiratory syndrome (PRRS), Post weaning multi-systemic wasting syndrome (PMWS), and Porcine respiratory disease complex (PRDC). The main factor for the occurrence of these diseases specially the respiratory diseases is the environmental condition particularly ventilation inside the pig house. Considering that Korea has 4 distinct season, the environmental condition in the pig house changes every season. The purpose of this study was to find the relationship between the configuration of the structure and ventilation system of pig houses and the occurrence of pig respiratory disease. The effect of internal airflow distribution to internal disease dispersion in pig house was analyzed. Several field experiments were conducted at several pig farms to understand the environmental control in relation to disease occurrence. To overcome the difficulties of conducting field experiments and obtain internal airflow visualization quantitatively and qualitatively, computational fluid dynamic (CFD). The accuracy of the simulations was preliminarily examined and improvements were made in the model based form the seasonally collected farm data.
전산유체역학을 이용한 미세조류 배양용 광생물반응기의 정량적 평가 방안
서일환 ( I. -h. Seo ),이인복 ( I. -b Lee ) 한국농공학회 2010 한국농공학회 학술대회초록집 Vol.2010 No.-
Renewable energy has been interested due to the fossil energy depletion and the carbon dioxide reduction. Bio-diesel is one of the most desirable renewable energy because it can alternate the diesel from petroleum directly. However, the bio-diesel using soybean, canola, corn crop, etc. can be confronted with food consumption. Because a microalgae has higher oil lipid contents and rapider growth rates comparing to the earlier raw materials, it can be a good source for bio-diesel production. Because pond production system is limited in distinguishable four seasons and insufficient land availability in Korea, photo-bioreactor (PBR) is a good alternative way to cultivate microalgae by artificially controlling the internal environments such as light, nutrients, temperature, carbon dioxide, and so on. Despite the availability of these PBRs, only few of them can be practically used for mass production. In this study, computational fluid dynamics (CFD) was used to find an optimum bubble-column PBRs for mass cultivation of the microalgae. Multi-phase models including bubble movement, meshes & time step independent tests were used to design the three dimensional CFD model. The model was validated comparing to the field experiments including particle image velocimetry (PIV) tests. Using the validated CFD model, various types of PBRs were compared quantitatively with consideration of a microalgae growth model adaptable for the CFD model. An evaluation method for mixing efficiency in the PBRs was developed by tracing the movement of each particle in the PBRs connected with the growth model according to the light intensity. The results showed that the mixing efficiency and uniformity in the 20 L of plate type PBRs can be enhanced by 73% and 36% respectively when the baffle was installed in order to guide the fluid flow using bubble injection.