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

Zheng, Kunpeng; Zhang, Jingxu; Wang, Xiaochan; Sun, Jun; Wang, Jian; Shu, Sheng; Wang, Yu; Guo, Shirong

doi:10.1016/j.energy.2023.126966

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…Due to the influence of the shading net, the indoor light conditions of four seasons cannot meet the growth needs, which is different from the research results of Singh et al [17] and is mainly related to the cleanliness of the greenhouse structure and covering materials. At the same time, the solar radiation received by the greenhouse in the south-north direction was lower than that in the east-west direction, but the sunlight received by the greenhouse was more uniform throughout the year [18].…”

Section: Discussionmentioning

confidence: 92%

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CFD Analysis and Optimization of a Plastic Greenhouse with a Semi-Open Roof in a Tropical Area

Yin,

Wang,

Zeng

et al. 2024

Agronomy

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A numerical simulation model of a natural ventilation greenhouse is helpful for improving the production and quality of greenhouse crops in tropical areas. Field experiments show that the mean coefficient of variation of indoor light intensity in four seasons was lower than 10.0%. The highest indoor temperature reached 39.3 °C during summer, while the average indoor temperature ranged from 24 °C to 26 °C in the other three seasons. The average relative humidity in the greenhouse ranged from 76% to 87% annually, which was higher and more stable than that in the external environment. A three-dimensional steady-state numerical model of the greenhouse was established based on computational fluid dynamics. Under natural ventilation conditions, the maximum error between the simulated value and the measured value of the temperature in each measuring point was 5.90%. And the average relative error between the simulated and measured values was 3.0% in the range of 0.7 m−1.5 m of crop cultivation height. Finally, a numerical simulation of adding side windows and expanding the vents was carried out. The results show that these methods can homogenize the airflow distribution in the greenhouse and improve the utilization efficiency of natural ventilation without more mechanical system operations.

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Section: Discussionmentioning

confidence: 92%

“…In Equation ( 17), Ω ′ is the solid space angle of direct sunlight, which conforms to Equation (18). cosα = (sinδ…”

Section: Numerical Modelmentioning

confidence: 99%

CFD Analysis and Optimization of a Plastic Greenhouse with a Semi-Open Roof in a Tropical Area

Yin,

Wang,

Zeng

et al. 2024

Agronomy

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“…Equation (3) should be converted into a dynamic linear data (DLD) model. Equation (4) can be obtained according to equation (3).…”

Section: Mfac Algorithmmentioning

confidence: 99%

“…Temperature is a predominant element affecting the growth of crops [1][2][3][4][5]. Controlling greenhouse temperature provides a stable growth environment for crops, which is conducive to the growth and development of crops [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Design of MFAC greenhouse temperature controller based on LESO with disturbance estimation and fuzzy controller with parameter tuning

Wang,

Li,

et al. 2024

Phys. Scr.

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Greenhouse agriculture has become an essential part of modern agriculture. The proper temperature is essential for greenhouse crops. Therefore, it is necessary to determine an appropriate greenhouse temperature automatic control strategy for greenhouse environment control. A model-free adaptive greenhouse temperature control strategy is proposed by combining a linear extended state observer and a fuzzy controller. Specifically, the linear extended state observer is introduced to estimate model approximation error generated by pseudo gradient estimation. The fuzzy controller is used to correct the system parameter online. In the absence of disturbances, compared with the typical model-free adaptive scheme, the MAE and RMSE of the proposed scheme are reduced by 57.55 % and 5.40 %, respectively. In the presence of custom disturbances, the proposed control scheme still has a faster response speed, stronger robustness, and higher control accuracy. And the proposed method can reduce the frequent action of the actuator, thus effectively reducing the energy cost.

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Study on optimization model control method of light and temperature coordination of greenhouse crops with benefit priority

Wang

et al. 2023

Computers and Electronics in Agriculture

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

Cited by 9 publications

References 22 publications

CFD Analysis and Optimization of a Plastic Greenhouse with a Semi-Open Roof in a Tropical Area

CFD Analysis and Optimization of a Plastic Greenhouse with a Semi-Open Roof in a Tropical Area

Design of MFAC greenhouse temperature controller based on LESO with disturbance estimation and fuzzy controller with parameter tuning

Study on optimization model control method of light and temperature coordination of greenhouse crops with benefit priority

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