Dochain, DenisDraye, XavierKoutras, KonstantinosKonstantinosKoutras2025-05-142025-05-142025-05-142021https://hdl.handle.net/2078.2/23203Greenhouses offer an intensive method of plant production, guaranteeing high yields independently of external climate conditions. The control technologies used in greenhouses have evolved considerably to develop sustainable plant production with higher yields using limited resources. In Louvain-la-Neuve, it is possible to find an automated greenhouse, which is part of the EPPN2020 project that aims to study plant phenotyping. It has been observed that the growth of the plants was very variable even though the greenhouse environment is controlled. As a result, it was decided to establish a simple model that would predict the temperature within the greenhouse based on the physical phenomena that influence it. This master thesis presents first the main physical phenomena influencing the microclimate of a greenhouse through a literature review. Then, an analysis of the experimental data collected in 2019 and 2020 was performed to identify the key phenomena that influence the temperature of the studied automated greenhouse. The physical phenomena identified as key in this work are the intensity of solar radiation, the heating system, the natural ventilation, and the conduction losses. The time-dependent physical model was then developed and implemented to predict the temperature in the greenhouse. The model is based on the principle of energy conservation within the greenhouse, i.e. it considers the heat gained and lost by the greenhouse at each moment and considers that the temperature within the greenhouse is homogeneous. The implementation of the model was carried out using MATLAB and consists of solving a differential equation. The predicted temperatures from the model were compared to the recorded values. It was observed that the model correctly predicts the temperature inside the greenhouse for different periods of the year. A proposal is also made on how to model and study the spatial temperature difference within the greenhouse.GreenhouseModellingEnergy balanceTime-dependentMicroclimattext::thesis::master thesisthesis:30658