Closed greenhouses are crucial buildings for agriculture in controlled environments because they offer the best growing conditions for crops and shield them from outside influences. Researchers can now better optimize design parameters for increased crop output and energy efficiency by simulating airflow and temperature distribution inside closed greenhouses with the use of computational fluid dynamics (CFD) modeling. We examine the temperature distribution and airflow patterns inside the greenhouse under various environmental conditions using CFD simulations. Our findings show that, in comparison to traditional greenhouse constructions, the novel design greatly improves temperature uniformity and lowers energy use. Moreover, the greenhouse's thermal insulation design minimizes heat loss during the colder months, enhancing energy efficiency overall. We offer important insights into how design changes affect airflow dynamics and thermal performance in enclosed greenhouses by utilizing CFD modeling. Our research highlights how effective CFD modeling can be in maximizing crop yields and achieving sustainable agricultural practices through greenhouse design optimization. The integration of novel design components for improved energy efficiency and crop yield is a feasible outcome of this research, which advances the field of closed greenhouse technology overall. The research highlights the value of using CFD modeling to inform the design of next-generation closed greenhouse systems and has important ramifications for sustainable agriculture methods and greenhouse management techniques. The goals were to assess how well various heating/cooling systems maintained the ideal environmental conditions for plant growth. A verified CFD model was used to run the simulations, which took into account a number of variables including the shape of the greenhouse, the outside environment, and the interior heat sources. Important discoveries include understanding temperature gradients, airflow patterns, and possible areas for environmental management enhancement are presented in this paper. Results showed that the species mass transfer of vapor (H2O) will vary over time.
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Agricultural run-off and subsurface drainage tiles transport a significant amount of nitrogen and phosphorus leached after fertilization. alchemia-nova GmbH in collaboration with University of Natural Resources and Life Sciences, Vienna developed two multi-layer vertical filter systems to address the agricultural run-off issue, which has been installed on the slope of an agricultural field in Mistelbach, Austria. While another multi-layer addressing subsurface drainage water is implemented in Gleisdorf, Austria. The goal is to develop a drainage filter system to retain water and nutrients. Both multi-layer filter systems contain biochar and other substrates with adsorption properties of nutrients (nitrogen, phosphorus). The filter system can be of practical use if an excess of nutrients being washed out is of concern in the fields of the practitioner by keeping the surrounding waters clean. This approach may result in economic value by re-using the saturated biochar as fertilizer and improving the soil structure, thus increasing long-term soil fertility. Link: https://wateragri.eu/a-bio-inspired-multilayer-drainage-system/
This project has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No 858735This project has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No 858735. FACTSHEET NANOCELLULOSE MEMBRANES FOR NUTRIENT RECOVERY Key information Functionalized nanocellulose membranes can take up nitrate and phosphate. These membranes can be put in a water treatment unit. As the membranes are biobased, degradable materials, they can after use be added to the soil, thus returning the leached nutrients back for their original purpose providing fertilizers (nutrient recycling).
Because variables such as temperature and humidity have a profound effect on the activity of crop pests, diseases and natural enemies, the ability to monitor environmental conditions within a crop has always been important for crop protection.