https://doi.org/10.4081/jae.2021.1209
Measurement of longwave radiative properties of energy-saving greenhouse screens
Published: 30 September 2021
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Light intensity, temperature, and humidity are key factors affecting photosynthesis, respiration, and transpiration. Among these factors, temperature is a crucial parameter to establish an optimal greenhouse climate. Temperature can be controlled by using an appropriate climate screen, which has a considerable impact on crop quantity and quality. The precise measurements of longwave radiative properties of screens are vital to the selection of the most suitable screen for greenhouses so that the desired temperature and a favorable environment can be provided to plants during nighttime. The energy-saving capability of screens can also be calculated by using these properties as inputs in a physical model. Two approaches have been reported so far in the literature for the measurement of these properties, i.e., spectrophotometry and wideband radiometry. In this study, we proposed some modified radiation balance methods for determining the total hemispherical longwave radiative properties of different screens by using wide-band radiometers. The proposed method is applicable to materials having zero porosity, partial opacity, and asymmetric screens with 100% solidity. These materials were not studied previously under natural conditions. The existing and proposed methods were applied and compared, and it was found that the radiometric values obtained from the developed methodology were similar to those previously reported in the literature, whereas the existing method gave unstable results with zero reflectance.
Abdel-Ghany A.M., Al-Helal I.M. 2012. A method for determining the long-wave radiative properties of a plastic shading net under natural conditions. Sol. Energy Mater. Sol. C. 99:268-76.
DOI: https://doi.org/10.1016/j.solmat.2011.12.009
Abdel-Ghany A.M., Al-Helal I.M., Shady M.R. 2015. On the emissivity and absorptivity of plastic shading nets under natural conditions. Adv. Mech. Eng. 7:1-9.
DOI: https://doi.org/10.1155/2014/165605
Abdel-Ghany A.M., Al-Helal I.M., Shady M.R. 2016. Estimating the thermal radiative properties of shading nets under natural outdoor conditions. J. Heat Transfer. 138:1-6.
DOI: https://doi.org/10.1115/1.4032953
Al-Helal I.M., Al-Musalam I.M. 2003. Influence of shading on the performance of a greenhouse evaporative cooling system. J. Arab Gulf Sci. 21:71-8.
Bailey B.J. 1981. The reduction of thermal radiation in glasshouses by thermal screens. J. Agr. Eng. Res. 26:215-24.
DOI: https://doi.org/10.1016/0021-8634(81)90106-2
Beyl C.A., Trigiano R.N. 2011. Plant propagation concepts and laboratory exercises, 2nd Ed. CRC Press, Boca Raton, FL, USA.
Castellano S., Hemming S., Mohammadkhani G.R., Swinkels G.J.G., Mugnuzza G.S. 2010. Radiometric properties of agricultural permeable coverings. J. Agric. Eng. 41:1-12.
DOI: https://doi.org/10.4081/jae.2010.2.1
Castellano S., Russo G., Mugnozza G.S. 2006. The influence of construction parameters on radiometric performances of agricultural nets. Acta Hort. 718:283-90.
DOI: https://doi.org/10.17660/ActaHortic.2006.718.32
Chen C., Shen T., Weng Y. 2011. Simple model to study the effect of temperature on the greenhouse with shading nets. Afr. J. Biotechnol. 10:5001-14.
Cohen S., Fuchs M. 1999. Measuring and predicting radiometric properties of reflective shade nets and thermal screens. J. Agr. Eng. Res. 73:245-55.
DOI: https://doi.org/10.1006/jaer.1999.0410
Cohen S., Möller M., Pirkner M., Tanny J. 2012. Measuring radiometric properties of screens used as crop covers. International CIPA Conference 2012 on Plasticulture for a Green Planet 1015.
Cohen S., Möller M., Pirkner M., Tanny J. 2014. Measuring radiometric properties of screens used as crop covers. Proc. Intl. CIPA Conference 2012 on Plasticulture for a Green Planet Acta Hort. 1015:191-9.
DOI: https://doi.org/10.17660/ActaHortic.2014.1015.21
Gentle A.R., Dybdal, K.L., Smith, G.B. 2013. Polymeric mesh for durable infra-red transparent convection shields: applications in cool roofs and sky cooling. Sol. Energy Mater. Sol. C. 115:79-85.
DOI: https://doi.org/10.1016/j.solmat.2013.03.001
Gernot R. (Eds). 2008. Primary processes of photosynthesis: principles and apparatus. RSC Publishing, UK.
Godbey L.C., Bond T.E., Zornig H.F. 1979. Transmission of solar and long-wavelength energy by materials used as covers for solar collectors and greenhouses. Trans. ASAE. 22:1137-44.
DOI: https://doi.org/10.13031/2013.35169
Hemming S., Romero E.B., Mohammadkhani V., Breugel B.V. 2017. Energy saving screen materials: measurement method of radiation exchange, air permeability and humidity transport and a calculation method for energy saving. WUR, Netherlands.
DOI: https://doi.org/10.18174/409298
Kim Y.B., Lee S.Y., Jeong B.R. 2009. Analysis of the insulation effectiveness of the thermal insulator by the installation methods. J. Bio-Env. Control. 18:332-40.
Kishore V.V.N. 2010. Renewable energy engineering and technology: principles and practice, Revised International Ed. TERI Press, New Delhi, India.
Marshall R. 2016. How to build your own greenhouse: designs and plans to meet your growing needs. Storey Publishing, USA.
Meijer J. 1980. Reduction of heat losses from greenhouses by means of internal blinds with low thermal emissivity. J. Agric. Eng. Res. 25:381-90.
DOI: https://doi.org/10.1016/0021-8634(80)90079-7
Na W.H., Lee J.W., Diop S., Lee H.W. 2013. Calculation of night sky temperature according to cloudiness in Daegu. Curr. Res. Agric. Life Sci. 31:40-6.
Nijskens J., Deltour J., Coutisse S., Nisen A. 1985. Radiation transfer through covering materials, solar and thermal screens of greenhouses. Agric. For. Meteorol. 35:229-42.
DOI: https://doi.org/10.1016/0168-1923(85)90086-3
Nijskens J., Deltour J., Coutisse S., Nisen A. 1989. Radiometric and thermal properties of the new plastic films for greenhouse covering. Acta Hort. 245:71-7.
DOI: https://doi.org/10.17660/ActaHortic.1989.245.7
Papadakis G., Briassoulis D., Mugnozza G.S., Vox G., Feuilloley P, Stoffers J.A. 2000. Review paper (se-structures and environment): radiometric and thermal properties of, and testing methods for, greenhouse covering materials. J. Agr. Eng. Res. 77:7-38.
DOI: https://doi.org/10.1006/jaer.2000.0525
Ponce P., Molina A., Cepeda P., Lugo E., MacCleery B. 2014. Greenhouse design and control. CRC Press, London, UK.
DOI: https://doi.org/10.1201/b17391
Rafiq A., Na W.H., Rasheed A., Kim H.T., Lee H.W. 2019. Determination of thermal radiation emissivity and absorptivity of thermal screens for greenhouse. Prot. Hortic. Plant Factory 28:311-21.
DOI: https://doi.org/10.12791/KSBEC.2019.28.4.311
Rafiq A., Na W.H., Rasheed A., Kim H.T., Lee H.W. 2020. Measurement of convective heat transfer coefficients of horizontal thermal screens under natural conditions. Prot. Hortic. Plant Factory 29:9-19.
DOI: https://doi.org/10.12791/KSBEC.2020.29.1.9
Rasheed A., Lee J.W., Lee H.W. 2018a. Evaluation of overall heat transfer coefficient of different greenhouse thermal screens using building energy simulation. Prot. Hort. Plant Factory 27:294-301.
DOI: https://doi.org/10.12791/KSBEC.2018.27.4.294
Rasheed A., Lee J.W., Lee H.W. 2018b. Development and optimization of a building energy simulation model to study the effect of greenhouse design parameters. Energies. 11:1-19.
DOI: https://doi.org/10.3390/en11082001
Rasheed A., Kwak C.S., Na W.H., Lee J.W., Kim H.T., Lee H.W. 2020. Development of a building energy simulation model for control of multi-span greenhouse microclimate. Agronomy 10:1236.
DOI: https://doi.org/10.3390/agronomy10091236
Schettini E., Vox G., Lucia B.D. 2007. Effects of the radiometric properties of innovative biodegradable mulching materials on snapdragon cultivation. Sci. Hortic. 112:456-61.
DOI: https://doi.org/10.1016/j.scienta.2007.01.013
Sethi V.P., Sumathy K.C., Lee Pal D.S. 2013. Thermal modeling aspects of solar greenhouse microclimate control: a review on heating technologies. Sol. Energy. 96:56-82.
DOI: https://doi.org/10.1016/j.solener.2013.06.034
Shukla A., Tiwari G.N., Sodha M.S. 2008. Experimental study of effect of an inner thermal curtain in evaporative cooling system of a cascade greenhouse. Sol. Energy. 82:61-72.
DOI: https://doi.org/10.1016/j.solener.2007.04.003
Simpkins J.C., Mears D.R., Roberts W.J. 1976. Reducing heat losses in polyethylene covered greenhouses. Trans. ASAE. 19:714-9.
DOI: https://doi.org/10.13031/2013.36102
Svensson L. 2014. Learn the basics of greenhouse climate control. Available from: http://www.ludvigsvensson.com/climatescreens/tools/using-svensson-screens/climate-control-basics
Tanny J., Yisraeli Y., Cohen S., Schwartz A., Moreshet S., Grava A. 2006. Saving water by protecting banana plantation with shade nets: microclimatological and physiological effects. Final report of research project no. 304-0285-04.
Willits D.H., Peet M.M. 2000. Intermittent application of water to an externally mounted, greenhouse shade cloth to modify cooling performance. Trans. ASAE. 43:1247-52.
DOI: https://doi.org/10.13031/2013.3018
How to Cite
Rafiq, A. (2021) “Measurement of longwave radiative properties of energy-saving greenhouse screens”, Journal of Agricultural Engineering, 52(3). doi: 10.4081/jae.2021.1209.
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