Modeling Climatic Parameters affecting a Greenhouse Irrigation System

Enclosed greenhouses are essential for controlled-environment agriculture, as they provide optimal growing conditions while shielding crops from external influences. Computational Fluid Dynamics (CFD) modeling enables the precise simulation of air circulation, temperature, and humidity distribution, allowing for improved greenhouse climate management. This study employed CFD simulations to analyze the distribution of climatic parameters under various environmental conditions, offering insights into airflow dynamics and thermal performance. The findings demonstrate that the proposed greenhouse design improves the uniformity of temperature, humidity, and air speed, optimizing environmental conditions for crop growth. This study quantified the temperature and humidity gradients, airflow velocity, and pressure variations to provide actionable data for enhanced climate control. The experimental validation confirmed the reliability of the CFD model, aligning well with literature and real-world measurements. This research advances CFD modeling in greenhouse environments by integrating novel design elements that enhance sustainability and efficiency. It also underscores the role of CFD in developing next-generation greenhouse systems with direct implications for sustainable farming and precision climate management.