Solar greenhouses: Climates, glass selection, and plant well-being

Mazzeo, Domenico; Baglivo, Cristina; Panico, Simone; Congedo, Pietro Marco

doi:10.1016/j.solener.2021.10.031

Cited by 34 publications

(12 citation statements)

References 68 publications

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“…The control of indoor air, especially under adverse weather conditions, is crucial for crop production in greenhouses [1][2][3]. The energy consumption for the indoor air control contributes to 50% of the total cost of greenhouse production in many countries [4], making the greenhouse sector one of the most energyintensive agricultural sectors, with significant economic and environmental impacts [5,6].…”

Section: Introductionmentioning

confidence: 99%

TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse

Adesanya

Rabiu

et al. 2022

Sustainability

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The energy demand in greenhouses is enormous, and high-performance covering materials and thermal screens with varying radiometric properties are used to optimise the energy demand in building energy simulations (BES). Transient System Simulation (TRNSYS) software is a common BES tool used to model the thermal performance of buildings. The calculation of the greenhouse internal temperature and heating demand in TRNSYS involves the solution of the transient heat transfer processes. This study modelled the temperature and heating demand of two multi-span glass greenhouses with concave (farm A) and convex (farm B) shapes. This study aims to investigate the influence of the different BES longwave radiation modes on greenhouse internal temperature in different zones and the heating demand of a conditioned zone. The standard hourly simulation results were compared with the experimental data. The results showed that the standard and detailed modes accurately predicted greenhouse internal temperature (the Nash–Sutcliffe efficiency coefficient (NSE) > 0.7 for all three zones separated by thermal screens) and heating demand (NSE > 0.8) for farms A and B. The monthly heating demand predicted by the simple and standard radiation modes for farm A matched the experimental measurements with deviations within 27.7% and 7.6%, respectively. The monthly heating demand predicted by the simple, standard, and detailed radiation modes for farm B were similar to the experimental measurements with deviations within 10.5%, 6.7%, and 2.9%, respectively. In the order of decreasing accuracy, the results showed that the preferred radiation modes for the heating demand were standard and simple for farm A, and detailed, standard, and simple for farm B.

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Section: Introductionmentioning

confidence: 99%

TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse

Adesanya

Rabiu

et al. 2022

Sustainability

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“…[ 16 ] suggest that the optimal choice of glass must be combined with effective scheduling of openings for natural ventilation to avoid internal overheating phenomena. Greenhouse free-cooling control and air flows strongly depend on the volume discretization [ 17 ]. These researches required demanding tools to accurately assess the greenhouse cooling and heating energy needs.…”

Section: Introductionmentioning

confidence: 99%

“…Open Sci. 9: 220251 strongly depend on the volume discretization [17]. These researches required demanding tools to accurately assess the greenhouse cooling and heating energy needs.…”

Section: Introductionmentioning

confidence: 99%

Study of a novel front-roof-back natural ventilation system for Chinese solar greenhouses

et al. 2022

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A Chinese solar greenhouse (CSG) is a highly efficient and energy-saving horticultural facility. Ventilation is significantly important for crop production in the greenhouse, and the vent configuration is the basis of the greenhouse design. Current CSG ventilation structures mostly include front bottom vents and top vents to create a suitable temperature environment for the normal development of crops. However, the ventilation capacity and efficiency are limited. In the present study, we proposed a comprehensive front bottom + top + back roof (FTB) ventilation configuration. The greenhouse ventilation was investigated during the summer season by means of field testing and simulation, and the performance of three ventilation structures—front bottom + top (FT), front bottom + back roof (FB) and FTB—was compared. The results showed that FTB stabilized the greenhouse temperature for 20 s less time than FT and FB. The cooling rate of FTB showed a 24.84% and 5.52% improvement over FT and FB, respectively, and the average temperature showed a 13.81% and 3.65% decrease, respectively. Moreover, the ventilation performance of the side walls was investigated in order to determine if they might serve as auxiliary structures for FTB ventilation. Nevertheless, the improvements of cooling rate, wind speed and average temperature were only 0.52%, 2.09% and 0.11%, respectively. The results demonstrated that the novel FTB ventilation proposed in the present study significantly improved ventilation efficiency and uniformity compared with conventional ventilation structures. The results presented herein provide theoretical support for the use and design of greenhouses suitable for China's special climate.

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“…Piscia et al [11] proposed a methodology based on the integration of energy simulation, CFD method and an optimization technique in order to optimize the greenhouse cover properties in night times for minimizing the heat loss by radiation. In a recent study, Mazzeo et al [12] simulated a Venlo-type greenhouse with fixed floor area and volume in TRANSYS software to select the best type of glass for greenhouse cover in several locations in the world. Performance of the greenhouse for three types of glass (single, double, triple) with various thickness and properties were investigated.…”

Section: Introductionmentioning

confidence: 99%

Optimal Solar Greenhouses Design Using Multiobjective Genetic Algorithm

et al. 2022

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In greenhouse horticulture, solar energy is the key to extending the greenhouse using seasonal or daily thermal storage technology and decreasing the energy consumption rate, especially in subtropical climate areas. Therefore, the present research aims to reach the optimal physical parameters of common greenhouses in northern areas of Iran to harness the best possible amount of solar energy in a year. Three common types of greenhouses, including even-span, modified arch and Quonset types, are considered. Threefloor area sizes are investigated for each shape to find the optimal physical parameters based on each greenhouse size. A mathematical model is proposed that uses the total solar fraction to compute the radiation

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Solar greenhouses: Climates, glass selection, and plant well-being

Cited by 34 publications

References 68 publications

TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse

TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse

Study of a novel front-roof-back natural ventilation system for Chinese solar greenhouses

Optimal Solar Greenhouses Design Using Multiobjective Genetic Algorithm

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