Design and analysis of a renewable energy driven greenhouse integrated with a solar still for arid climates

Mahmood, Farhat; Al‐Ansari, Tareq

doi:10.1016/j.enconman.2022.115512

Cited by 18 publications

(2 citation statements)

References 65 publications

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“…The occurrence of high humidity levels can lead to the risk of water condensation at the leaf level which can cause fungal and bacterial diseases (Soussi et al, 2022). Moreover, with high temperature and humidity levels, the wet-bulb temperature increases which reduces the evaporative cooling process (Mahmood and Al-Ansari, 2022). For example, Sabeh et al (2011) found that the use of evaporative cooling systems in a semi-arid climate-based greenhouse leads to water use efficiency (WUE) reductions as low as those achieved in open field applications.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of evapotranspiration models for cucumbers grown under CO2 enriched and HVAC driven greenhouses: A step towards precision irrigation in hyper-arid regions

Ghiat

Govindan

Al‐Ansari

2023

Front. Sustain. Food Syst.

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Evapotranspiration is considered as one of the most crucial surface fluxes describing the water movement from the land to the atmosphere in the form of evaporation from the soil and transpiration from plants. Several evapotranspiration models exist, but their accuracy is subject to change because of the differences between the underlying assumptions used in their formulation and the conditions of the application at hand. The appropriate selection of an evapotranspiration model is necessary to ensure the accurate estimation of crop water requirements. This work compares between 20 different evapotranspiration models for the estimation of transpiration of cucumber crops grown in a cooling-based greenhouse with CO2 enrichment located in a high solar radiation region. The models are classified into temperature-based, radiation-based, mass transfer-based, and combination models. These models are assessed against direct gas exchange measurements in a greenhouse with cucumber crops. The performance of the models is evaluated using nine statistical indicators to determine the most suitable models for the application under study. Results demonstrate that among the temperature-based models, Schendel and Blaney and Criddle models resulted in the best transpiration prediction, contrary to Hargreaves and Samani which presented the worst performance. Transpiration estimates from Rohwer were the closest and that of Trabert were the furthest to the measured data amongst the other mass-transfer based models. The Abtew model was the best transpiration predicting model, while Priestley and Taylor exhibited the worst performance in the radiation-based model category. The combination-based FAO56 Penman Monteith entailed the best performance among all models and can be considered the best suitable method to estimate transpiration for cucumber crops grown in CO2 enriched and HVAC based greenhouses located in high solar radiation regions. Nonetheless, the parametrization of this model is still crucial and should be considered to achieve better estimates and accurately evaluate the effect of high solar radiation, CO2 enrichment and HVAC cooling for this agricultural greenhouse application.

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Section: Introductionmentioning

confidence: 99%

Evaluation of evapotranspiration models for cucumbers grown under CO2 enriched and HVAC driven greenhouses: A step towards precision irrigation in hyper-arid regions

Ghiat

Govindan

Al‐Ansari

2023

Front. Sustain. Food Syst.

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“…The use of solar power fountains to enhance the surface area of water and, ultimately, the evaporation rate has been reported by Dumka et al [15]. Mahmood and Ansari [16] have reported a novel approach to enhance the performance of solar still by integrating it with a greenhouse. Due to this augmentation, the distiller unit has yielded 4.03-5.20 m 3 /day.…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation and Development of Artificial Neural Network Model for the Solar Stills Augmented with the Permanent Magnet and Sandbag

Chauhan

Dumka

Mishra

2022

J. Adv. Therm. Sci. Res.

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The availability of potable water is reducing day by day due to rapid growth in the human population and un-planned industrialization around the globe. Although human beings cannot think of survival in the absence of water, the global leadership can still not implement their pacts in reality. Solar still is one of the prominent ways of getting potable water from contaminated water. This manuscript reports the experimental evaluation and developed ANN model for the single basin solar stills having augmentations with the sand-filled cotton bags and ferrite ring permanent magnets. Root mean square error (RMSE), efficiency coefficient (E), the overall index of model performance (OI), and coefficient of residual mass (CRM) values are in good agreement with the proposed developed model of ANN. The proposed ANN model can be utilized to predict distillate yield with a variation of 5% for the reported modified stills. Overall correlation coefficient of CSS, MSS-1&2 are 0.98171, 0.9867, and 0.99542, respectively.

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Renewable Energy Driven Sustainable Greenhouse: An Overview

Mahmood

Al‐Ansari

2024

Encyclopedia of Sustainable Technologies

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Design and analysis of a renewable energy driven greenhouse integrated with a solar still for arid climates

Cited by 18 publications

References 65 publications

Evaluation of evapotranspiration models for cucumbers grown under CO2 enriched and HVAC driven greenhouses: A step towards precision irrigation in hyper-arid regions

Evaluation of evapotranspiration models for cucumbers grown under CO2 enriched and HVAC driven greenhouses: A step towards precision irrigation in hyper-arid regions

Experimental Evaluation and Development of Artificial Neural Network Model for the Solar Stills Augmented with the Permanent Magnet and Sandbag

Renewable Energy Driven Sustainable Greenhouse: An Overview

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