Prediction of Black Globe Humidity Index in Poultry Buildings

dc.contributor.author Yanagi, Tadayuki
dc.contributor.author Damasceno, G.
dc.contributor.author Teixeira, V.
dc.contributor.author Xin, Hongwei
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-13T04:25:41.000
dc.date.accessioned 2020-06-29T22:32:25Z
dc.date.available 2020-06-29T22:32:25Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2001
dc.date.embargo 2012-12-14
dc.date.issued 2001-05-01
dc.description.abstract <p>A computer model was developed to predict the black globe humidity index (BGHI) to simulate different resultant conditions in designing poultry buildings. The simulated BGHI values were compared to experimental measurements, obtained in a poultry facility at Viçosa, MG, Brazil, giving a mean deviation of 1.31 %. The model was then used to predict BGHI values as affected by roof slopes of 25º, 30º, and 35º, and column heights of 3.0 and 3.5 m. The results showed that BGHI can be reduced by 0.12 units per 5º increase in roof slope, or 0.10 units per 0.5 m increase in column height. The maximum reduction of BGHI, 0.33 units, was obtained when comparing the extreme conditions of 25º roof slope and 3.0 m height vs. 35º slope and 3.5 m height.</p>
dc.description.comments <p>This proceeding is from Pp. 482-489 in Livestock Environment VI: Proceedings of the 6th International Symposium (21-23 May 2001, Louisville, Kentucky, USA) ed. Richard R. Stowell, Ray Bucklin, and Robert W. Bottcher. Paper No. <a href="http://elibrary.asabe.org/abstract.asp?aid=7107&t=3&dabs=Y&redir=&redirType=" target="_blank">701P0201</a>.</p>
dc.identifier archive/lib.dr.iastate.edu/abe_eng_conf/205/
dc.identifier.articleid 1190
dc.identifier.contextkey 3538909
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_conf/205
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/212
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_conf/205/Xin_2001_PredictionBlackGlobe.pdf|||Fri Jan 14 22:25:23 UTC 2022
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Poultry environment
dc.subject.keywords Roofs
dc.subject.keywords Thermal comfort
dc.title Prediction of Black Globe Humidity Index in Poultry Buildings
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 36e0a8ce-fa2e-4df4-9f67-8d1717122650
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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