Modeling and Simulation of Temperature and Relative Humidity Inside a Growth Chamber

Germán Díaz-Flórez, Jorge Mendiola-Santibañez, Luis Solís-Sánchez, Domingo Gómez-Meléndez, Ivan Terol-Villalobos, Hector Gutiérrez-Bañuelos, Ma. Araiza-Esquivel, Gustavo Espinoza-García, Juan García-Escalante and Carlos Olvera-Olvera
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Germán Díaz-Flórez: Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico
Jorge Mendiola-Santibañez: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Querétaro 76010, Mexico
Luis Solís-Sánchez: Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico
Domingo Gómez-Meléndez: Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico
Ivan Terol-Villalobos: Facultad de Informática, Universidad Autónoma de Querétaro, Querétaro 76230, Mexico
Hector Gutiérrez-Bañuelos: Unidad Académica de Medicina Veterinaria y Zootecnia, Universidad Autónoma de Zacatecas, Zacatecas 98500, Mexico
Ma. Araiza-Esquivel: Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico
Gustavo Espinoza-García: Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico
Juan García-Escalante: IDGreen Company, Querétaro 76915, Mexico
Carlos Olvera-Olvera: Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico

Energies, 2019, vol. 12, issue 21, 1-22

Abstract: Modeling and simulation of internal variables such as temperature and relative humidity are relevant for designing future climate control systems. In this paper, a mathematical model is proposed to predict the internal variables temperature and relative humidity (RH) of a growth chamber (GCH). Both variables are incorporated in a set of first-order differential equations, considering an energy-mass balance. The results of the model are compared and assessed in terms of the coefficients of determination (R 2 ) and the root mean squared error (RMSE). The R 2 and RMSE computed were R 2 = 0.96, R 2 = 0.94, RMSE = 0.98 °C, and RMSE = 1.08 °C, respectively, for the temperature during two consecutive weeks; and R 2 = 0.83, R 2 = 0.81, RMSE = 5.45%RH, and RMSE = 5.48%RH, respectively, for the relative humidity during the same period. Thanks to the passive systems used to control internal conditions, the growth chamber gives average differences between inside and outside of +0.34 °C for temperature, and +15.7%RH for humidity without any climate control system. Operating, the GCH proposed in this paper produces 3.5 kg of wet hydroponic green forage (HGF) for each kilogram of seed (corn or barley) harvested on average.

Keywords: modeling and simulation; temperature and relative humidity; growth chamber; hydroponic green forage; growing system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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