dc.creator | Gil, R. | |
dc.creator | Bojacá, C.R. | |
dc.date.accessioned | 2020-06-18T19:12:56Z | |
dc.date.accessioned | 2022-09-23T18:22:35Z | |
dc.date.available | 2020-06-18T19:12:56Z | |
dc.date.available | 2022-09-23T18:22:35Z | |
dc.date.created | 2020-06-18T19:12:56Z | |
dc.identifier | https://www.researchgate.net/publication/283888174_Analysis_of_air_temperature_distribution_inside_a_cold_store_by_means_of_geostatistical_methods | |
dc.identifier | http://hdl.handle.net/20.500.12010/10063 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3499656 | |
dc.description.abstract | The objective of temperature control in cold storage systems is to maintain an
average temperature limited by a maximum temperature deviation within the
produce. Temperature is a key factor in postharvest quality that is usually
supported by the belief that it is well controlled and uniform in cold storage systems.
Cold stores show non-uniform air temperature distributions and produce quality
problems related to cold and hot spots are well-known. Air temperature control in
storage systems is usually related to one or a limited number of temperature sensors
in the store that are placed in locations easy accessible. The aim of this study was to
model and analyze spatio-temporal temperature distributions in vertical plans along
a cold store by means of a geostatistical approach. The use of this information to
determine the minimum number of air temperature sensors needed and their
location for better climate control is discussed. The spatio-temporal air temperature
variation was assessed inside an experimental cold store applying geostatistical
methods. The cold store (3.75×2.64×2.38 m) was equipped with an A/C unit. A
vertical grid of 36 regularly distributed air temperature sensors was installed. It was
shifted 0.35 m each day in order to cope with the 3.75 m length of the cold store in 10
vertical planes. Each plane was set to take measurements during 24 hours periods at
1 datum/min frequency. Empirical variograms were constructed for each vertical
plane. Various variogram models were evaluated to fit the dataset, and an ordinary
spatio-temporal kriging method was used to predict temperature values. The results
show temperature distribution gradients that have to be accounted for when
studying postharvest processes in cold storage systems. Geostatistical methods
proved to be a useful tool for the study of spatio-temporal air temperature
distributions that will contribute to better postharvest produce uniformity through
improved climate control performance. | |
dc.publisher | Universidad Jorge Tadeo Lozano | |
dc.rights | EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DE BOGOTA JORGE TADEO LOZANO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DE BOGOTÁ JORGE TADEO LOZANO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. Para el correcto ejercicio de mi derecho de habeas data cuento con la cuenta de correo protecciondatos@utadeo.edu.co, donde previa identificación podré solicitar la consulta, corrección y supresión de mis datos | |
dc.rights | Abierto (Texto Completo) | |
dc.source | instname:Universidad Jorge Tadeo Lozano | |
dc.source | reponame:Repositorio Institucional UJTL | |
dc.subject | Geostatistics | |
dc.subject | Temperature distribution | |
dc.subject | Cold store | |
dc.title | Analysis of air temperature distribution inside a cold store by means of geostatistical methods | |