Building Energy Simulation Model Application to Greenhouse Microclimate, Covering Material and Thermal Blanket Modelling: A Review
Keywords:
BES, TRNSYS, Simulation, Optimisation, Software, GreenhouseAbstract
This review documents the present knowledge and knowledge gap in applying building energy simulation (BES) dynamic models to greenhouses. The focus of this review is to compile the literature on the BES dynamic model of greenhouse microclimate, covering materials, energy requirements and thermal blankets using the Transient System Simulation version 18 (TRNSYS 18) software. Fifty-two journal articles, mostly Science Citation Index (SCI) and Scopus index journals, on BES development and simulation of greenhouse microclimate, greenhouse energy requirement, covering materials and thermal blankets were reviewed. These researchers sought to optimise greenhouse crop production. The main features of the TRNSYS 18 software for BES development are outlined; each research consulted for this review successfully developed, simulated and validated its BES. However, none of these developed models included the vapour pressure deficit (VPD) as a greenhouse microclimate factor, an essential climate parameter. In conclusion, this study demonstrates that applying a BES developed using TRNSYS has excellent potential to optimise greenhouse crop production and help adapt appropriate climate control strategies and energy-saving techniques. However, it is recommended to include VPD in future BES model development.
References
AbdulAziz, T. (2002). Sustainable Food Security for All by 2020 the International Food Policy Research Institute (IFPRI): 172-175.
Adesanya, M. A.; W.-H. Na; A. Rabiu; Q. O. Ogunlowo; T. D. Akpenpuun; A. Rasheed; Y. C. Yoon and H.-W. Lee. (2022). TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse. Sustainability, 14(14): 8286.
Agrebi, S.; R. Chargui; B. Tashtoush and A. Guizani. (2021). Comparative performance analysis of a solar-assisted heat pump for greenhouse heating in Tunisia. International Journal of Refrigeration, 131: 547-558.
Ahamed, M. S.; H. Guo and K. Tanino. (2020). Modeling heating demands in a Chinese-style solar greenhouse using the transient building energy simulation model TRNSYS. Journal of Building Engineering, 29: 101114.
Ahmad, A.; A. Khan; N. Javaid; H. M. Hussain; W. Abdul; A. Almogren; A. Alamri and I. Azim Niaz. (2017). An Optimised Home Energy Management System with Integrated Renewable Energy and Storage Resources. Energies, 10(4): 549.
Akpenpuun, T. D. and Mijinyawa, Y. (2018). Evaluation of a Greenhouse Under Tropical Conditions Using Irish Potato (Solanum Tuberosum L.) as the Test Crop. ACTA Technologica Agriculturae, 21(2): 56 - 62.
Akpenpuun, T. D. and Mijinyawa, Y. (2020). Impact of a split-gable greenhouse microclimate on the yield of irish potato (Solanum tuberosum l.) under tropical conditions. Journal of Agricultural Engineering and Technology, 25(1): 54-78.
Akpenpuun, T. D.; W.-H. Na; Q. O. Ogunlowo; A. Rabiu; M. A. Adesanya; K. S. Addae; H.-T. Kim and H.-W. Lee. (2021a). Effect of Greenhouse Cladding Materials and Thermal Screen Configuration on Heating Energy and Strawberry (Fragaria ananassa var. “Seolhyang”) Yield in Winter. Agronomy, 11(12): 1-24.
Akpenpuun, T. D.; W. H. Na; Q. O. Ogunlowo; A. Rabiu; M. A. Adesanya; K. S. Addae; H. T. Kim and H.-W. Lee. (2021b). Effect of glazing configuration as an energy-saving strategy in naturally ventilated greenhouses for strawberry (Seolhyang sp.) cultivation. Journal of Agricultural Engineering, 52(2): 1-8.
Asa'd, O.; V. I. Ugursa and N. Ben-Abdallah. (2019). Investigation of the energetic performance of an attached solar greenhouse through monitoring and simulation. Energy for Sustainable Development, 53(5): 15-29.
Baglivo, C.; D. Mazzeo; S. Panico; S. Bonuso; N. Matera; P. M. Congedo and G. Oliveti. (2020). Complete greenhouse dynamic simulation tool to assess the crop thermal well-being and energy needs. Applied Thermal Engineering, 179: 115698.
Bradford, E.; J. F. Hancock and R. M. Warner. (2010). Interactions of Temperature and Photoperiod Determine Expression of Repeat Flowering in Strawberry. Horticulrural Science, 135(2): 102-107.
Carlini, M.; D. Monarca; P. Biondi; T. Honorati and S. Castellucci. (2010). A simulation model for the exploitation of geothermal energy for a greenhouse in the Viterbo province. Paper presented at the In Work Safety and Risk Prevention in Agro-Food and Forest Systems. International Conference Ragusa SHWA, 16–18 September 2010, Ragusa, Italy.
Cayli, A. (2020). Temperature and relative humidity spatial variability: an assessment of the environmental conditions inside greenhouses. Fresenius Environmental Bulletin, 29(7): 4954–4962.
Chargui, R.; H. Sammouda and A. Farhat. (2012). Geothermal heat pump in heating mode: Modeling and simulation on TRNSYS. International Journal of Refrigeration, 35(7): 1824–1832.
Chen, J.; Y. Ma and Pang. Z. (2020). A mathematical model of global solar radiation to select the optimal shape and orientation of the greenhouses in southern China. Solar Energy, 205: 380–389.
Choab, N.; A. Allouhi; A. El Maakoul; T. Kousksou; S. Saadeddine and A. Jamil. (2019). Review on greenhouse microclimate and application: Design parameters, thermal modeling and simulation, climate-controlling technologies. Solar Energy, 191: 109–137.
Choab, N.; A. Allouhi; A. E. Maakoul; T. Kousksou; S. Saadeddine and A. Jamil. (2021). Effect of Greenhouse Design Parameters on the Heating and Cooling Requirement of Greenhouses in Moroccan Climatic Conditions. IEEE Access, 9: 2986–3003.
Fei, X.; W. Xiao-Long and X. Yong. (2021). Development of Energy Saving and Rapid Temperature Control Technology for Intelligent Greenhouses. IEEE Access, 9: 29677-29685.
Ghoulem, M.; K. El Moueddeb; E. Nehdi; R. Boukhanouf and J. Kaiser Calautit. (2019). Greenhouse design and cooling technologies for sustainable food cultivation in hot climates: Review of current practice and future status. Biosystems Engineering, 183: 121-150.
Glen, S. (2019). Comparing Model Evaluation Techniques Part 1: Statistical Tools & Tests. Retrieved April 13, 2022 https://www.datasciencecentral.com/comparing-model-evaluation-techniques
Gorjian, S.; F. Calise; K. Kant; M. S. Ahamed; B. Copertaro; G. Najafi; X. Zhang; M. Aghaei and R. R. Shamshiri. (2020). A review on opportunities for implementation of solar energy technologies in agricultural greenhouses. Journal of Cleaner Production: 124807.
Goto, E.; Y. Ishigami and L. Okushima. (2017). Development of a greenhouse simulation model to estimate energy and resources necessary for environmental controls under various climate conditions. Acta Hortic, 1170: 293-300.
Gupta, M. J. and Chandra, P. (2002). Effect of greenhouse design parameters on conservation of energy for greenhouse environmental control. Energy, 27(8): 777–794.
Hou, Y.; A. Li; Y. Li; D. Jin; Y. Tian; D. Zhang; D. Wu; L. Zhang and W. Lei. (2021). Analysis of microclimate characteristics in solar greenhouses under natural ventilation. Building Simulation, 14: 1811–1821.
Ishigami, Y.; E. Goto; M. Watanabe; T. Takahashi and L. Okushima. (2014). Development of a simulation model to evaluate environmental controls in a tomato greenhouse. Acta Horticulturae, 1037: 93-98.
Klein, S. A. (2012). TRNSYS, a Transient System Simulation Program; Solar Energy Laboratory. Madison, WI, USA: University of Wisconsin-Madison.
Kumar, K. S.; K. N. Tiwari and M. K. Jha. (2009). Design and technology for greenhouse cooling in tropical and subtropical regions: A review. Energy and Buildings, 41(12): 1269–1275.
Lam, J.C.; Hui, S.C.M. (1996). Sensitivity analysis of energy performance of office buildings. Building and Environment, 31(1): 27–39.
Lee, S.-B.; I. B. Lee; S.-W. Hong; I.-h. Seo; J. P. Bitog; K.-S. Kwon; T.-H. Ha and C.-P. Han. (2012). Prediction of Greenhouse Energy Loads using Building Energy Simulation (BES). Journal of the Korean Society of Agricultural Engineers, 54(3): 113-124.
Li, B.; B. Shi; Z. Yao; M. Kumar Shukla and T. Du. (2020). Energy partitioning and microclimate of solar greenhouse under drip and furrow irrigation systems. Agricultural Water Management, 234: 106096.
Luo, W.; H. F. d. Zwart; J. DaiI; X. Wang; C. Stanghellini and C. Bu. (2005). Simulation of Greenhouse Management in the Subtropics, Part I: Model Validation and Scenario Study for the Winter Season. Biosystems Engineering, 90(3): 307–318.
Mashonjowa, E.; F. Ronsse; T. Mhizha; J. R. Milford; R. Lemeur and J. G. Pieters. (2010). The effects of whitening and dust accumulation on the microclimate and canopy behaviour of rose plants (Rosa hybrida) in a greenhouse in Zimbabwe. Solar Energy, 84(1): 10-23.
Ogunlowo, Q. O.; T. D. Akpenpuun; W. H. Na; A. Rabiu; M. A. Adesanya; K. S. Addae; H. T. Kim and H.-W. Lee. (2021). Analysis of heat and mass distribution in a single- and multi-span greenhouse microclimate. Agriculture, 11(9): 1-24.
Owolabi, A. B.; J. W. Lee; S. N. Jayasekara and H. W. Lee. (2017). Predicting the Greenhouse Air Humidity Using Artificial Neural Network Model Based on Principal Components Analysis. Journal of the Korean Society of Agricultural Engineers, 59(5): 93-99.
Rabiu, A.; W. Na; T. D. Akpenpuun; A. Rasheed; M. A. Adesanya; Q. O. Ogunlowo; H. T. Kim and H.-W. Lee. (2022). Determination of overall heat transfer coefficient of greenhouse energy-saving screens using TRNSYS and hotbox methods. Biosystems Engineering, 217: 83-101.
Rasheed; Na; Lee; Kim and Lee. (2019). Optimisation of Greenhouse Thermal Screens for Maximized Energy Conservation. Energies, 12(19): 3592.
Rasheed, A.; C. S. Kwak; H. T. Kim and H. W. Lee. (2020a). Building Energy and Simulation Model for Analysing Energy Saving Options of Multi-Span Greenhouses. Applied Science, 10: 6884.
Rasheed, A.; C. S. Kwak; W. H. Na; J. W. Lee; H. T. Kim and H. W. Lee. (2020b). Development of a Building Energy Simulation Model for Control of Multi-Span Greenhouse Microclimate. Agronomy, 10(9): 1236.
Rasheed, A.; J. Lee and H. Lee. (2018b). Development and optimization of a building energy simulation model to study the effect of greenhouse design parameters. Energies, 11(8): 2-19.
Rasheed, A.; J. W. Lee and H. W. Lee. (2015). A Review of Greenhouse Energy Management by Using Building Energy Simulation. Protected Horticulture and Plant Factory, 24(4): 317-325.
Rasheed, A.; J. W. Lee and H. W. Lee. (2018c). Development of a model to calculate the overall heat transfer coefficient of greenhouse covers. Spanish Journal of Agricultural Research, 15(4): e0208.
Rasheed, A.; W. H. Na; J. W. Lee; H. T. Kim and H. W. Lee. (2021). Development and Validation of Air-to-Water Heat Pump Model for Greenhouse Heating. Energies, 14(15): 4714.
Semple, L.; R. Carriveau and D. S.-K. Ting. (2017). Assessing heating and cooling demands of closed greenhouse systems in a cold climate. International Journal of Energy Research, 41: 1903 - 1913.
Sethi, V. P. (2009). On the selection of shape and orientation of a greenhouse: Thermal modeling and experimental validation. Solar Energy, 83(1): 21-38.
Shamshiri, R. R.; J. W. Jones; K. R. Thorp; D. Ahmad; H. Che Man and S. Taheri. (2018). Review of optimum temperature, humidity and vapour pressure deficit for microclimate evaluation and control in greenhouse cultivation of tomato. Int Agrophysics, 32(2): 287 - 302.
Sim, H. S.; D. S. Kim; M. G. Ahn; S. R. Ahn and S. K. Kim. (2020). Prediction of Strawberry Growth and Fruit Yield based on Environmental and Growth Data in a Greenhouse for
Soil Cultivation with Applied Autonomous Facilities. Horticultural Science and Technology, 38(6): 840-849.
Tang, Y.; X. Ma; M. Li and Y. Wang. (2020). The effect of temperature and light on strawberry production in a solar greenhouse. Solar Energy, 195: 318-328.
Villagrán, E. A.; E. J. B. Romero and C. R. Bojacác. (2019). Transient CFD analysis of the natural ventilation of three types of greenhouses used for agricultural production in a tropical mountain climate. Biosystems Engineering, 188: 288-304.
Yano, A. and Cossu, M. (2019). Energy sustainable greenhouse crop cultivation using photovoltaic technologies. Renewable and Sustainable Energy Reviews, 109: 116–137.
Yoshida, H.; D. Mizuta; N. Fukua; S. Hikosaka and E. Goto. (2016). Effects of varying light quality from single-peak blue and red light-emitting diodes during nursery period on flowering, photosynthesis, growth and fruit yield of everbearing strawberry. Plant Biotechnology, 33(4): 267–276.
Zhang, S.; Y. Guo; H. Zhao; Y. Wang; D. Chow and Y. Fang. (2020). Methodologies of control strategies for improving energy efficiency in agricultural greenhouses. Journal of Cleaner Production, 274: 122695.
Zhao, Y.; M. Teitel and M. Barak. (2001). Vertical temperature and humidity gradients in a naturally ventilated greenhouse. Journal Agricultural Engineering Research, 78(4): 431–436.
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