High resolution 3D simulation of light climate and thermal performance of a solar greenhouse model under tomato canopy structure

Zhang, Yue; Henke, M.; Li, Yiming; Xiang, Yue; Xu, Demin; Liu, Xingan; Li, Tianlai

doi:10.1016/j.renene.2020.06.144

Cited by 36 publications

(26 citation statements)

References 41 publications

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“…An FSP combined with a climate model helps to study the distribution of climatic parameters in vegetation and the interaction of crop and environment. It also shows the effect of climatic conditions such as temperature, humidity, carbon dioxide concentration, and light conditions on photosynthesis, dry matter accumulation, crop yield, and distribution of fungal diseases in plant populations [68][69][70][71][72].…”

Section: Greenhouse Climate and Crop Models Combinationmentioning

confidence: 99%

“…Zhang et al [72] introducing a new method for evaluating micro-light climate and thermal performance in a Liaoshen-type Solar Greenhouse (LSG) incorporated 3D architecture tomato canopy, simulated using an FSP model. The exact surface temperature of each component of the greenhouse and tomato crop was simulated using advanced light modeling techniques.…”

Section: Greenhouse Climate and Crop Models Combinationmentioning

confidence: 99%

See 1 more Smart Citation

Greenhouse Crop Simulation Models and Microclimate Control Systems, A Review

Rezvani¹,

Shamshiri²,

Hameed³

et al. 2021

Next-Generation Greenhouses for Food Security

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A greenhouse is a complex environment in which various biological and non-biological phenomena occur. For simulation and prediction of the climate and plant growth changes in the greenhouse are necessary to provide mathematical models. The dynamic greenhouse climate models are classified in mechanistic and black-box models (ARX). Climatic models are mainly obtained using energy balance or computational fluid dynamics. In the energy balance models, the greenhouse climatic variables are considered uniformity and homogeneity, but in the computational fluid dynamics, the heterogeneity of the greenhouse environment can be shown by 3D simulation. Crop growth simulation models are quantitative tools based on scientific principles and mathematical relationships that can evaluate the different effects of climate, soil, water, and crop management factors on crop growth and development. In this chapter, with a review of the basics of climate models in greenhouses, the results and application of some climate dynamics models based on the energy balance as well as simulations performed with computational fluid dynamics are reviewed. A review of greenhouse growth models and functional–structural plant models (FSPM) was also conducted.

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Section: Greenhouse Climate and Crop Models Combinationmentioning

confidence: 99%

Section: Greenhouse Climate and Crop Models Combinationmentioning

confidence: 99%

Greenhouse Crop Simulation Models and Microclimate Control Systems, A Review

Rezvani¹,

Shamshiri²,

Hameed³

et al. 2021

Next-Generation Greenhouses for Food Security

View full text Add to dashboard Cite

show abstract

“…Some studies developed black-box models for CSGs using different approaches, such as the convex bidirectional extreme learning machine algorithm [16] and least squares support vector machine (LSSVM) with a particle swarm technique (PSO) for parameter optimization [28]. Zhang et al [29] developed a model with a detailed 3D tomato canopy structure and simulated the micro light environment using a functional, structural plant model (FSPM). However, these black-box models have the limitation in terms of computation time and flexibility, and sometimes need to input some complicated unknown parameters.…”

Section: Introductionmentioning

confidence: 99%

“…However, these black-box models have the limitation in terms of computation time and flexibility, and sometimes need to input some complicated unknown parameters. For example, the 3D model developed by Zhang et al [29] needs a total running time of approximately 20 h to simulate results for 8 h using an Intel Core I7 CPU and 16 GB RAM. Additionally, many thermal models [5,[30][31][32] have been developed to simulate the microclimates of conventional greenhouses, which are not suitable for mono-slope greenhouses due to the differences in structures and environment control practices.…”

Section: Introductionmentioning

confidence: 99%

A Time-Dependent Model for Predicting Thermal Environment of Mono-Slope Solar Greenhouses in Cold Regions

Dong

Ahamed

et al. 2021

Energies

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Most greenhouses in the Canadian Prairies shut down during the coldest months (November to February) because of the hefty heating cost. Chinese mono-slope solar greenhouses do not primarily rely on supplemental heating; instead, they mostly rely on solar energy to maintain the required indoor temperature in winter. This study focuses on improving an existing thermal model, entitled RGWSRHJ, for Chinese-style solar greenhouses (CSGs) to increase the robustness of the model for simulating the thermal environment of the CSGs located outside of China. The modified model, entitled SOGREEN, was validated using the field data collected from a CSG in Manitoba, Canada. The results indicate that the average prediction error for indoor and relative humidity is 1.9 °C and 7.0%, and the rRMSE value is 3.3% and 11.5%, respectively. The average error for predicting the north wall and ground surface temperature is 4.2 °C and 2.3 °C, respectively. The study also conducted a case study to analyze the thermal performance of a conceptual CSG in Saskatoon, Canada. The energy analysis indicates the heating requirement of the greenhouse highly depends on the availability of solar radiation. Besides winter, the heating requirement is relatively low in March to maintain 18 °C indoor temperature when the average outdoor temperature was below –4 °C, and negligible during May–August. The results indicate that vegetable production in CSGs could save about 55% on annual heating than traditional greenhouses. Hence, CSGs could be an energy-efficient solution for ensuring food security for northern communities in Canada and other cold regions.

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“…Tadj used the CFD method to simulate the microclimate in a closed vaulted greenhouse where tomatoes were grown and discussed the influence of different heating systems on the microclimate of tomatoes in the greenhouse [17]. Yue Zhang developed a method to evaluate the microlight climate and thermal performance of Liaoshen-type solar greenhouses, including a detailed 3D tomato canopy structure simulated using a functional-structural plant model [18]. Nebbali simulated the distributed climate parameters of a ventilated tunnel tomato greenhouse using a biband discrete ordinate (DO) model with the plant canopy considered a porous medium [19].…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics-Based Simulation of Crop Canopy Temperature and Humidity in Double-Film Solar Greenhouse

Jiao¹,

Liu²,

Gao³

et al. 2020

Journal of Sensors

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The microenvironment of the crop area in a greenhouse is the main factor that affects its growth, quality, and pest control. In this study, we propose a double-layer film solar greenhouse microenvironment testing system based on computational fluid dynamics simulations of a celery canopy with a porous medium. A real greenhouse was examined with a sensor system for soil, air, radiation, and carbon dioxide detection to verify the simulation results. By monitoring the internal environment of celery canopies with heights of 0.8 and 1 m during a period of temperature fluctuations, we found the temperature and humidity of the canopy interior changed spatially and differed greatly from the those in the greenhouse under solar radiation conditions. The temperature and humidity of the celery canopy were 4–14°C lower and 10%–30% higher than those of the surroundings. As the canopy grew, the differences in temperature and humidity between the canopy and other parts of the greenhouse increased. The root mean square errors of the temperature and humidity with the 0.8 m high celery canopy were found to be 0.56 and 2.86 during the day and 0.24 and 0.81 at night, respectively; the corresponding values for the 1 m high celery canopy were found to be 0.51 and 2.26 during the day and 0.26 and 0.78 at night. The porous medium model expressed the temperature and humidity characteristics of the celery crop appropriately, and the simulation method was shown to be effective and feasible. With the simulation method proposed in this study, the production of crops in complex microenvironments in greenhouses can be modeled and digitized.

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High resolution 3D simulation of light climate and thermal performance of a solar greenhouse model under tomato canopy structure

Cited by 36 publications

References 41 publications

Greenhouse Crop Simulation Models and Microclimate Control Systems, A Review

Greenhouse Crop Simulation Models and Microclimate Control Systems, A Review

A Time-Dependent Model for Predicting Thermal Environment of Mono-Slope Solar Greenhouses in Cold Regions

Computational Fluid Dynamics-Based Simulation of Crop Canopy Temperature and Humidity in Double-Film Solar Greenhouse

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