Carbon Neutral Greenhouse: Economic Model Predictive Control Framework for Education
Marek Wadinger, Rastislav F\'aber, Erika Pavlovi\v{c}ov\'a, Radoslav, Paulen

TL;DR
This paper introduces an educational framework using a greenhouse climate control model with Model Predictive Control to teach students about sustainable agriculture, control systems, and environmental impact.
Contribution
It provides a practical, hands-on educational platform integrating real-time weather data, advanced control techniques, and sustainability considerations in greenhouse management.
Findings
Effective balancing of energy use and crop yield
Reduction in CO2 emissions demonstrated
Enhanced educational engagement and understanding
Abstract
This paper presents a comprehensive framework aimed at enhancing education in modeling, optimal control, and nonlinear Model Predictive Control~(MPC) through a practical greenhouse climate control model. The framework includes a detailed mathematical model of lettuce growth and greenhouse, which are influenced by real-time external weather conditions obtained via an application programming interface~(API). Using this data, the MPC-based approach dynamically adjusts greenhouse conditions, optimizing plant growth and energy consumption and minimizing the social cost of CO\textsubscript{2}. The presented results demonstrate the effectiveness of this approach in balancing energy use with crop yield and reducing CO\textsubscript{2} emissions, contributing to economic efficiency and environmental sustainability. Besides optimizing lettuce production, the framework also provides a valuable…
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Taxonomy
TopicsGreenhouse Technology and Climate Control · Energy, Economy, and Technology Trends
