Light environment simulation for a three-span plastic greenhouse based on greenhouse light environment simulation software

被引:12
作者
Bo, Yu [1 ]
Zhang, Yu [1 ]
Zheng, Kunpeng [1 ]
Zhang, Jingxu [2 ]
Wang, Xiaochan [3 ]
Sun, Jin [1 ]
Wang, Jian [1 ]
Shu, Sheng [1 ]
Wang, Yu [1 ]
Guo, Shirong [1 ]
机构
[1] Nanjing Agr Univ, Coll Hort, Jiangsu Prov Engn Lab Modern Facil Agr Technol & E, Nanjing 210095, Peoples R China
[2] Nanjing Agr Univ, Coll Informat Management, Nanjing 210095, Peoples R China
[3] Nanjing Agr Univ, Coll Engn, Nanjing 210031, Peoples R China
关键词
Plastic greenhouse; Light environment; Modle; Path tracing; MATHEMATICAL-MODEL; SOLAR GREENHOUSES; ORIENTATION; RADIATION;
D O I
10.1016/j.energy.2023.126966
中图分类号
O414.1 [热力学];
学科分类号
摘要
Light environment research in greenhouses is mainly focused on solar greenhouses with simple structures; the universality of illumination models is low to date. To study the light environments in various of greenhouses, Greenhouse Light Environment Simulation software has been developed based on the ray tracing and Monte Carlo methods. The function of the software is to analyse the light path of the sampling point. The software has been verified and applied in a three-span plastic greenhouse. The results show that the mean relative errors of each month and typical weather conditions are less than 10%. The mean relative error of the simulated mean at any point in the greenhouse is less than 4%. The solar radiation intensity in the greenhouse is mainly affected by the solar incidence angle, and the solar radiation uniformity is mainly affected by the roof shape; the average solar radiation intensity in the greenhouse is the highest in August (over 250 W/m2), and the lowest in December, (below 60 W/m2). When the greenhouse is oriented at 10 degrees east by south, the total solar radiation is 2% higher and the uniformity of daily solar radiation is 0.8% higher than when the greenhouse is oriented to the south.
引用
收藏
页数:12
相关论文
共 27 条
[1]   Energy saving techniques for reducing the heating cost of conventional greenhouses [J].
Ahamed, Md Shamim ;
Guo, Huiqing ;
Tanino, Karen .
BIOSYSTEMS ENGINEERING, 2019, 178 :9-33
[2]  
Besuievsky G, 2001, J VISUAL COMP ANIMAT, V12, P93, DOI 10.1002/vis.248
[3]   Using solar greenhouses in cold climates and evaluating optimum type according to sizing, position and location: A case study [J].
Cakir, Ugur ;
Sahin, Erol .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2015, 117 :245-257
[4]   Evaluation of diffuse solar radiation models in Northern China: New model establishment and radiation sources comparison [J].
Cao, Fei ;
Li, Huashan ;
Yang, Tian ;
Li, Yan ;
Zhu, Tianyu ;
Zhao, Liang .
RENEWABLE ENERGY, 2017, 103 :708-720
[5]  
Castellano S, 2015, P 43 INT S AGR ENG A, P24
[6]   A computational model to determine the optimal orientation for solar greenhouses located at different latitudes in China [J].
Chen, Chao ;
Li, Yin ;
Li, Na ;
Wei, Shen ;
Yang, Fengguang ;
Ling, Haoshu ;
Yu, Nan ;
Han, Fengtao .
SOLAR ENERGY, 2018, 165 :19-26
[7]   A mathematical model of global solar radiation to select the optimal shape and orientation of the greenhouses in southern China [J].
Chen, Jintian ;
Ma, Yiwen ;
Pang, Zhenzhen .
SOLAR ENERGY, 2020, 205 :380-389
[8]  
Cheng QinYang Cheng QinYang, 2009, Transactions of the Chinese Society of Agricultural Engineering, V25, P169
[9]   Light use efficiency for vegetables production in protected and indoor environments [J].
Cocetta, Giacomo ;
Casciani, Daria ;
Bulgari, Roberta ;
Musante, Fulvio ;
Kolton, Anna ;
Rossi, Maurizio ;
Ferrante, Antonio .
EUROPEAN PHYSICAL JOURNAL PLUS, 2017, 132 (01)
[10]   Dynamic modeling and simulation of greenhouse environments under several scenarios: A web-based application [J].
Fitz-Rodriguez, Efren ;
Kubota, Chieri ;
Giacomelli, Gene A. ;
Tignor, Milton E. ;
Wilson, Sandra B. ;
McMahon, Margaret .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2010, 70 (01) :105-116