Modeling Air Temperature Inside an Organic Vegetable Greenhouse

Vita Ayu Kusuma Dewi, Budi Indra Setiawan, Budiman Minasny, Liyantono Liyantono, Roh Santoso Budi Waspodo

Abstract


Air temperature is an important microclimate parameter in a greenhouse as it influences root growth and controls plant growth and development. Thus, the precise monitor and model temperature under greenhouse is needed to maintain the plants in optimal conditions. This research aims to model the temperature under a greenhouse using energy balance model. The study monitored the temperature inside and outside the greenhouse in a humid tropical environment. Based on the data, heat exchange constants of greenhouse components were derived, they were: 0.0029 (solar radiation), 0.8 (air) and 0.01 (heat exchange from greenhouse component). The calibrated model enables the calculation of temperature inside a greenhouse based on its outside air temperature, wind speed, and solar radiation. Testing the model against an independent time series showed the high accuracy of the model with an R2 value of 0.99, RMSE = 0.0085 and model efficiency Ef = 0.99. Based on the results, most advantageous strategies for air temperature control inside the greenhouse include the control of air ventilation.


Keywords


Energy balance; Greenhouse; Heat transfer; Organic vegetable; Temperature modeling

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References


Abdel-Ghany, A. M., & Kozai, T. (2006). On the determination of the overall heat transmission coefficient and soil heat flux for a fog cooled, naturally ventilated greenhouse: Analysis of radiation and convection heat transfer. Energy Conversion and Management, 47(15–16), 2612–2628. https://doi.org/10.1016/j.enconman.2005.10.024

Arslan, G., & Dölek, S. (2019). Dynamic modeling of microclimate conditions of a greenhouse coupled with coal fired hot-air furnace. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-19. https://doi.org/10.1080/15567036.2019.1635231

Both, A. J. (2008). Greenhouse temperature management. New Jersey, USA. Retrieved from https://njvegetable-crops-online-resources.rutgers.edu/wp-content/uploads/2015/06/Greenhouse-Temperature-Management.pdf

Boulard, T., & Wang, S. (2000). Greenhouse crop transpiration simulation from external climate conditions. Agricultural and Forest Meteorology, 100(1), 25–34. https://doi.org/10.1016/S0168-1923(99)00082-9

Chow, V. Te, Maidment, D. R., & Mays, L. W. (1988). Applied hydrology. USA: McGraw-Hill, Inc. Retrieved from http://theodore-odroid.ttu.edu/documents/university-courses/ce-3354/2-Readings/CMM1988/Applied Hydrology VTChow 1988.pdf

Ebrahimabadi, S., Nilsson, K. L., & Johansson, C. (2015). The problems of addressing microclimate factors in urban planning of the subarctic regions. Environment and Planning B: Planning and Design, 42(3), 415–430. https://doi.org/10.1068/b130117p

Fernández, J. E., & Bailey, B. J. (1992). Measurement and prediction of greenhouse ventilation rates. Agricultural and Forest Meteorology, 58(3–4), 229–245. https://doi.org/10.1016/0168-1923(92)90063-A

Feuilloley, P., & Issanchou, G. (1996). Greenhouse covering materials measurement and modelling of thermal properties using the hot box method, and condensation effects. Journal of Agricultural and Engineering Research, 65(2), 129–142. https://doi.org/10.1006/jaer.1996.0085

Frausto, H. U., Pieters, J. G., & Deltour, J. M. (2003). Modelling greenhouse temperature by means of auto regressive models. Biosystems Engineering, 84(2), 147–157. https://doi.org/10.1016/S1537-5110(02)00239-8

Ganguly, A., & Ghosh, S. (2011). A review of ventilation and cooling technologies in agricultural greenhouse application. Iranica Journal of Energy & Environment, 2(1), 32–46. Retrieved from http://www.idosi.org/ijee/2(1)11/5.pdf

Hassanien, R. H. E., Li, M., & Lin, W. D. (2016). Advanced applications of solar energy in agricultural greenhouses. Renewable and Sustainable Energy Reviews, 54, 989–1001. https://doi.org/10.1016/j.rser.2015.10.095

Hatfield, J. L., & Prueger, J. H. (2015). Temperature extremes: Effect on plant growth and development. Weather and Climate Extremes, 10, 4–10. https://doi.org/10.1016/j.wace.2015.08.001

Iqbal, M. Z., Habib, S., Khan, M. I., & Kashif, M. (2020). Comparison of different techniques for detection of outliers in case of multivariate data. Pakistan Journal of Agricultural Science, 57(3), 865-869. Retrieved from http://www.pakjas.com.pk/papers/3190.pdf

Kacira, M., Sase, S., Ikeguchi, A., Ishii, M., Giacomelli, G., & Sabeh, N. (2008). Effect of vent configuration and wind speed on three-dimensional temperature distributions in a naturally ventilated multi-span greenhouse by wind tunnel experiments. ISHS Acta Horticulturae, 801, 393–401. https://doi.org/10.17660/ActaHortic.2008.801.41

Kittas, C., Bartzanas, T., & Jaffrin, A. (2003). Temperature gradients in a partially shaded large greenhouse equipped with evaporative cooling pads. Biosystems Engineering, 85(1), 87–94. https://doi.org/10.1016/S1537-5110(03)00018-7

Lekouch, K., El Jazouli, M., Wifaya, A., & Bouirden, L. (2011). Natural ventilation and microclimatic performance of gothique type greenhouse in south region of Morocco. International Review of Mechanical Engineering, 5(3), 505–512. Retrieved from https://www.researchgate.net/publication/286341440_Natural_ventilation_and_microclimatic_performance_of_gothique_type_greenhouse_in_south_region_of_Morocco

Lienhard IV, J. H., & Lienhard V, J. H. (2008). A heat transfer textbook (3rd ed.). Cambridge, MA: Phlogiston Press. Retrieved from http://gr.xjtu.edu.cn/LiferayFCKeditor/UserFiles/File/A HeatTransfer Textbook, 3rd edition.pdf

Ma, D., Carpenter, N., Maki, H., Rehman, T. U., Tuinstra, M. R., & Jin, J. (2019). Greenhouse environment modeling and simulation for microclimate control. Computers and Electronics in Agriculture, 162, 134-142. https://doi.org/10.1016/j.compag.2019.04.013

Mesmoudi, K., Soudani, A., & Bournet, P. E. (2010). Determination of the inside air temperature of a greenhouse with tomato crop under hot and arid climates. Journal of Applied Sciences and Environmental Management, 5(2), 117–129. Retrieved from https://hal.archives-ouvertes.fr/hal-00729706/

Morakinyo, T. E., Kalani, K. W. D., Dahanayake, C., Ng, E., & Chow, C. L. (2017). Temperature and cooling demand reduction by green-roof types in different climates and urban densities: A co-simulation parametric study. Energy and Buildings, 145, 226–237. https://doi.org/10.1016/j.enbuild.2017.03.066

Muharomah, R., Setiawan, B. I., Purwanto, M. Y. J., & Liyantono. (2020). Temporal crop coefficients and water productivity of lettuce (Lactuca sativa L.) hydroponics in planthouse. Agricultural Engineering International: CIGR Journal, 22(1), 22-29. Retrieved from https://cigrjournal.org/index.php/Ejounral/article/view/5656

Mutui, T., Sesabo, J., Ishengoma, E., & Opile, W. (2012). Impact of climate change on agricultural production and mitigation approaches in developing countries. African Journal of Horticultural Science, 6, 92–100. Retrieved from http://hakenya.net/ajhs/index.php/ajhs/article/view/94

Nijskens, J., Deltour, J., Coutisse, S., & Nisen, A. (1984). Heat transfer through covering materials of greenhouses. Agricultural and Forest Meteorology, 33(2–3), 193–214. https://doi.org/10.1016/0168-1923(84)90070-4

Prabhu, B. (2016). Environmental monitoring and greenhouse control by distributed sensor network. International Journal of Advanced Networking and Applications, 5(5), 2060–2065. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2875960

Reyes-Rosas, A., Molina-Aiz, F. D., Valera, D. L., López, A., & Khamkure, S. (2017). Development of a single energy balance model for prediction of temperatures inside a naturally ventilated greenhouse with polypropylene soil mulch. Computers and Electronics in Agriculture, 142, 9–28. https://doi.org/10.1016/j.compag.2017.08.020

Rodríguez, F., Berenguel, M., Guzman, J. L., & Ramírez- Arias, A. (2015). Modeling and control of greenhouse crop growth. Advances in Industrial Control. Springer International Publishing. https://doi.org/10.1007/978-3-319-11134-6

Runkle, E. (2006). Temperature effects on floriculture crops and energy consumption. OFA Bulletin, (894), 4p. Retrieved from http://www.microfarms.com/technical/greenhousecd/greenhouse/temperature/Temperature_Effects_on_Floriculture_Crops_by_Runkle.pdf

Sethi, V. P., Sumathy, K., Lee, C., & Pal, D. S. (2013). Thermal modeling aspects of solar greenhouse microclimate control: A review on heating technologies. Solar Energy, 96, 56–82. https://doi.org/10.1016/j.solener.2013.06.034

Singh, M. C., Singh, J. P., & Singh, K. G. (2018). Development of a microclimate model for prediction of temperatures inside a naturally ventilated greenhouse under cucumber crop in soilless media. Computers and Electronics in Agriculture, 154, 227–238. https://doi.org/10.1016/j.compag.2018.08.044

Tribouillois, H., Constantin, J., Willaume, M., Brut, A., Ceschia, E., Tallec, T., … Therond, O. (2018). Predicting water balance of wheat and crop rotations with a simple model: AqYield. Agricultural and Forest Meteorology, 262, 412–422. https://doi.org/10.1016/j.agrformet.2018.07.026

William, Suharto, H., & Tanudjaja, H. (2016). Sistem pemantauan dan pengendalian parameter lingkungan pertumbuhan pada tanaman hidroponik. TESLA: Jurnal Teknik Elektro, 18(2), 188–207. Retrieved from https://journal.untar.ac.id/index.php/tesla/article/view/305

Wong, P. P. Y., Lai, P. C., Low, C. T., Chen, S., & Hart, M. (2016). The impact of environmental and human factors on urban heat and microclimate variability. Building and Environment, 95, 199–208. https:// doi.org/10.1016/j.buildenv.2015.09.024

Zhao, Y., Teitel, M., & Barak, M. (2001). Vertical temperature and humidity gradients in a naturally ventilated greenhouse. Journal of Agricultural and Engineering Research, 78(4), 431–436. https://doi.org/10.1006/jaer.2000.0649




DOI: http://doi.org/10.17503/agrivita.v0i0.2526

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