“Creation and study of a model of a Nordic community greenhouse coupled with a thermal storage system” -master’s thesis introduction.

On December 8, Timothée Maheux defended his master’s thesis in front of his jury and the members of ÉTS’s “Laboratoire de Thermique et Science du Bâtiment” (LTSB)

Photography of Kuujjuaq Grenhouse in october 2023 by Vincent Cottéreau

The subject was: how to couple two existing numerical models simulating the behavior of a greenhouse and a rock-bed thermal storage system? In other words, how can we create a model of a greenhouse equipped with a thermal storage system? In particular, the example of the Kuujjuaq greenhouse and rock-bed storage system was studied.

Diagram of the coupled two models of the green house and the storage system – Timothée Maheux

After several twists and turns, mainly due to the input data and the modeling software, Timothée succeeded in obtaining a model close to reality. The model obtained simulates the operation of the greenhouse and predicts temperatures inside the greenhouse with a root-mean-square error of 1.91°C. Which shows that the model is reliable. Indeed, such a model can be considered reliable if this deviation is less than 2°C.

In addition, to correctly predicting temperature, this model shows that the storage system behaves both daily and seasonally. The system stores excess heat during the day and releases it at night, while storing heat throughout the summer and releasing it in autumn. This enables to extend greenhouse cultivation until the end of october.  

In addition, to correctly predicting temperature, this model shows that the storage system behaves both daily and seasonally. The system stores excess heat during the day and releases it at night, while storing heat throughout the summer and releasing it in autumn. This enables to extend greenhouse cultivation until the end of october.  

After several twists and turns, mainly due to the input data and the modeling software, Timothée succeeded in obtaining a model close to reality. The model obtained simulates the operation of the greenhouse and predicts temperatures inside the greenhouse with a root-mean-square error of 1.91°C. Which shows that the model is reliable. Indeed, such a model can be considered reliable if this deviation is less than 2°C

Link to full paper: (coming soon)