Optimization of Chinese solar greenhouse building parameters based on CFD simulation and entropy weight method
Keywords:
CSG, thermal and humidity environment, CFD simulation, entropy weight method, building parameter optimizationAbstract
The building parameters of Chinese solar greenhouse (CSG) directly affect the front roof lighting and indoor thermal environment. In order to obtain the optimal parameter combination, a building parameter optimization method based on computational fluid dynamics (CFD) simulation and entropy weight method was proposed. Firstly, a three-dimensional thermal and humidity environment model of CSG was constructed considering the coupling effect of soil, crop, and back wall based on CFD. The reliability of the model was validated through experiments in a CSG of Yongqing County, Hebei Province of China. Then, the indoor air temperature rise rate, air temperature and humidity uneven coefficient, and average air temperature and humidity were selected as the evaluation indicators of CSG thermal and humidity environment. The ridge height, back wall height and the horizontal projection of back roof of CSG were selected as the three factors of the orthogonal test plan, and a three-factor and four-level plan was designed, resulting in 16 different parameter combinations. By use of CFD simulation, the thermal and humidity environment evaluation indicators under different parameter combinations were calculated. The entropy weight method was used to assign weights to the evaluation indicators, and the comprehensive evaluation indicators of CSG thermal and humidity environment were obtained based on the linear weighting principle. By comparing comprehensive evaluation indicators, the optimal combination of building parameters was obtained with a ridge height of 5.72 m, a back wall height of 3.2 m, and a horizontal projection of 2.1 m on the back roof. The research results can provide a practical and feasible method for optimizing the building parameters of CSG, and provided theoretical guidance for the structural design and optimization of CSG. Keywords: CSG, thermal and humidity environment, CFD simulation, entropy weight method, building parameter optimization DOI: 10.25165/j.ijabe.20231606.8331 Citation: He F, Si C Q, Ding X M, Gao Z J, Gong B B, Qi F, et al. Optimization of Chinese solar greenhouse building parameters based on CFD simulation and entropy weight method. Int J Agric & Biol Eng, 2023; 16(6): 48–55.References
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[2] Zhang R, Liu Y C, Zhu D L, Zhang X M, Ge M S, Cai Y H. Optimal design for solar greenhouses based on canopy height. Journal of Building Engineering, 2022; 53: 104473.
[3] Liu X G, Wu X Y, Xia T Y, Fan Z L, Shi W B, Li Y M, et al. New insights of designing thermal insulation and heat storage of Chinese solar greenhouse in high latitudes and cold regions. Energy, 2022; 242: 122953.
[4] He F, Tian J, Wang L, Hou Y, Qi F, Zhang Y P, et al. Effects of different root zone heating systems on the microclimate and crop development in solar greenhouses. Int J Agric & Biol Eng, 2022; 15(6): 67–72.
[5] Tong G H, Christopher D M, Li T L, Wang T L. Passive solar energy utilization: A review of cross-section building parameter selection for Chinese solar greenhouses. Renewable and Sustainable Energy Reviews, 2013; 26: 540–548.
[6] NY/T 3223-2018. Code for design of Chinese solar greenhouse. Chinese Standard, 2018. (in Chinese)
[7] Cao Y F, Jing H W, Zhao S M, Zou Z R, Bao E C. Optimization of back roof projection width and northern wall height in Chinese solar greenhouse. Transactions of the CSAE, 2017; 33(7): 183–189. (in Chinese)
[8] Tong X J, Sun Z P, Sigrimis N, Li T L. Energy sustainability performance of a sliding cover solar greenhouse: Solar energy capture aspects. Biosystem Engineering, 2018; 176: 88–102.
[9] Yang F G, Chen C, Ma C W, Li Y, Han F T, Li Y R, et al. Discussion on the principle of selecting spatial characteristic parameters of solar greenhouse morphology with low energy consumption. Xinjiang Agricultural Sciences, 2018; 55(3): 535–547. (in Chinese)
[10] Zhang G X, Fu Z T, Yang M S, Liu X X, Dong Y H, Li X X. Nonlinear simulation for coupling modeling of air humidity and vent opening in Chinese solar greenhouse based on CFD. Computers and Electronics in Agriculture, 2019; 162: 337–347.
[11] He X L, Wang J, Guo S R, Zhang J, Wei B, Sun J, et al. Ventilation optimization of solar greenhouse with removable back walls based on CFD. Computers and Electronics in Agriculture, 2018; 149: 16–25.
[12] Zhang X, Wang H L, Zou Z R, Wang S J. CFD and weighted entropy based simulation and optimisation of Chinese solar greenhouse temperature distribution. Biosystem Engineering, 2016; 142: 12–26.
[13] Tong G H, Christopher D M, Li B M. Numerical modelling of temperature variations in a Chinese solar greenhouse. Computers and Electronics in Agriculture, 2009; 68: 129–139.
[14] Liu X G, Li H, Li Y M, Yue X, Tian S B, Li T L. Effect of internal surface structure of the north wall on Chinese solar greenhouse thermal microclimate based on computational fluid dynamics. Plos One, 2020; 15(4): e0231316.
[15] Li Y M, Liu X G, Qi F S, Wang L, Li T L. Numerical investigation of the north wall passive thermal performance for Chinese solar greenhouse. Thermal Science, 2020; 24(6A): 3465–3476.
[16] Wu X Y, Liu X G, Yue X, Xu H, Li T L, Li Y M. Effect of the ridge position ratio on the thermal environment of the Chinese solar greenhouse. Royal Society Open Science, 2017; 8: 1–16.
[17] Tong G H, Christopherb D M, Zhang G Q. New insights on span selection for Chinese solar greenhouses using CFD Analyses. Computers and Electronics in Agriculture, 2018; 149: 3–15.
[18] Li W Y. Simulation study of different structure parameters of solar greenhouse based on computational fluid dynamics in the winter. Shenyang Agricultural University, 2020. (in Chinese)
[19] Li H, Ji D, Hu X, Xie T, Song W T, Tian S B. Comprehensive evaluation of combining CFD simulation and entropy weight to predict natural ventilation strategy in a sliding cover solar greenhouse. Int J Agric & Biol Eng, 2021; 14(6): 213–221.
[20] Boulard T, Wang S. Experimental and numerical studies on the heterogeneity of crop transpiration in a plastic tunnel. Computers and Electronics in Agriculture, 2002; 34(1-3): 173–190.
[21] Wilson J D. Numerical studies of flow through a windbreak. Journal of Wind Engineering and Industrial Aerodynamics, 1985; 21(2): 119–154.
[22] Nield D A, Bejan A. Convection in porous media. New York: Springer, 2006.
[23] Stanghellini C. Transpiration of greenhouse crops: an aid to climate management. Doctoral thesis, Wageningen University, 1987.
[24] Blocken B, Stathopoulos T, Carmeliet J. CFD simulation of the atmospheric boundary layer: wall function problems. Atmospheric Environment, 2007; 41(2): 238–252.
[25] Liu F D, Li Y, Liu Y. The application of single index test and orthogonal test in the analysis of parameter sensitivity. Journal of Water Resources and Architectural Engineering, 2015; 13(6): 85–88, 177. (in Chinese)
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Published
2024-02-06
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He, F., Si, C., Ding, X., Gao, Z., Gong, B., Qi, F., … Qian, F. (2024). Optimization of Chinese solar greenhouse building parameters based on CFD simulation and entropy weight method. International Journal of Agricultural and Biological Engineering, 16(6), 48–55. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/8331
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Animal, Plant and Facility Systems
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