Comprehensive Evaluation and Design Research on Greenhouse Fans Based on Response Surface Methodology
In the context of escalating global political volatility, ensuring food security has risen to the forefront of national priorities. With modern technology driving the advancement of greenhouse farming techniques, optimizing the internal climate, particularly temperature and wind speed, within glass...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/61/bioconf_isaeb2024_01019.pdf |
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| Summary: | In the context of escalating global political volatility, ensuring food security has risen to the forefront of national priorities. With modern technology driving the advancement of greenhouse farming techniques, optimizing the internal climate, particularly temperature and wind speed, within glass greenhouses has become crucial for maximizing crop output and quality. To find the climate conditions that promote the optimal growth of crops, we developed a mathematical model grounded in conservation principles to estimate temperature and wind speed distribution across greenhouse cross-sections. Leveraging response surface methodology and finite difference techniques, we explored the impact of adjusting greenhouse fan position and warm air outlet velocity on ventilation conditions. Our findings reveal that The use of a single fan placement to maintain the wind speed of 0.3 to 1m/s and to stabilize the room temperature between 23 and 25 degrees Celsius can achieve a uniform temperature distribution and a favorable growing environment under the premise of energy conservation and environmental protection. This optimized fan design, tailored to local conditions, promises healthier crop growth, reduced pest and disease incidences, and improved energy efficiency, underscoring the potential of greenhouse farming to address food security challenges amidst global uncertainties. |
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| ISSN: | 2117-4458 |