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CFD index for temperature greenhouse characterization

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2018 ASABE Annual International Meeting  1800084.(doi:10.13031/aim.201800084)
Authors:   Jorge Flores-Velazquez, Cruz Ernesto Ernesto, Waldo Ojeda, Fernando Rojano
Keywords:   CFD, Greenhouse, indicator, meteorological, the error complementary function.

Abstract. In agriculture matters quality and quantity of the produce. In this work is proposed an indicator for climate characterization of a greenhouse. The indicator is derived from the error complementary function, where a weight to a weather variable is assigned depending on the defined optimal range for crop development. This indicator is calculated using normal meteorological data from a local weather station and also with climate data obtained from CFD predictions of a specific greenhouse. Then, the proposed indicator can be applied to regions, during the cycle of a crop or a specific day, depending on availability of meteorological data. For instance, if the greenhouse does not have a climate control system, there will be periods in the season where the greenhouse may generate adverse condition for crop. Then, the indicator will aid to point out that, in some specific hours of day or night, a greenhouse is not an advantage when compared to crop production in open-field. Another scenario with application of this indicator may be for the same greenhouse during sun rise, and solar rays penetrate to the greenhouse; then, the internal temperature increases, sometimes more than 10 °C with respect to external temperature. And finally other crucial scenario where this indicated can be applied is the period of cold months, where the same greenhouse may require heating. So, this proposed tool as an overall index can become a viable alternative for quantitatively estimate the needs to achieve desirable climate conditions for successful greenhouse crop production.

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