Effect of Temperature Sensor Numbers and Placement on Aeration Cooling of a Stored Grain Mass Using a 3D Finite Element Model

dc.contributor.author Plumier, Benjamin
dc.contributor.author Maier, Dirk
dc.contributor.department Food Science and Human Nutrition
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2021-03-16T22:38:23.000
dc.date.accessioned 2021-04-29T23:07:31Z
dc.date.available 2021-04-29T23:07:31Z
dc.date.issued 2021-03-10
dc.description.abstract <p>Grain stored in silos in the United States of America is generally cooled with an aeration system to limit mold spoilage and insect infestation. Monitoring efficacy of aeration and real-time conditions of stored grain is generally done using temperature cables with fixed-spaced sensor locations that are hung from the roof of the silo. Numerous placement options exist in terms of the number of cables and their positions. However, little investigation has been done into the effects of cable placement on aeration system operation decisions and real-time monitoring of stored grain conditions. For a one-year period, the temperatures predicted by sensors in three recommended temperature cable configurations were evaluated for conditions in Ames, IA, USA. The average temperatures of each of the cable sensor configurations were lower than the average temperatures of the entire silo, with as much as an 11.4 °C difference. When sensor locations were used as inputs for aeration control, all cable sensor configurations predicted similar average temperatures. However, the temperature averages varied by as much as 3.6 °C depending on the temperature cable distribution chosen. Results demonstrated that temperature cables near the center or near the edges of the silos produce results that are not representative of the grain mass, resulting in less efficient aerations. Simulations were also conducted with randomized horizontal “wireless” sensor locations at fixed grain depths. The average temperatures were similar, but an increase in the number of sensors reduced variability between simulated storage years as the number of randomized sensors increased.</p>
dc.description.comments <p>This article is published as Plumier, Benjamin, and Dirk Maier. "Effect of temperature sensor numbers and placement on aeration cooling of a stored grain mass using a 3D Finite Element Model." <em>Agriculture</em> 11, no. 3 (2021): 231. DOI: <a href="https://doi.org/10.3390/agriculture11030231" target="_blank">10.3390/agriculture11030231</a>. </p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/1194/
dc.identifier.articleid 2479
dc.identifier.contextkey 22077577
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/1194
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/104453
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/1194/2021_MaierDirk_EffectTemperature.pdf|||Fri Jan 14 19:01:58 UTC 2022
dc.source.uri 10.3390/agriculture11030231
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Food Science
dc.subject.keywords aeration
dc.subject.keywords finite element modeling
dc.subject.keywords stored products
dc.subject.keywords temperature sensors
dc.title Effect of Temperature Sensor Numbers and Placement on Aeration Cooling of a Stored Grain Mass Using a 3D Finite Element Model
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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