A MODEL FOR PREDICTING ENERGY CONSUMPTION AND CO2 RATE IN GLASSHOUSES
The total glasshouse area for vegetables in France is about 1600 ha, mainly for tomato and cucumber crops. Glasshouse heating is the second operating cost after the labor cost and can reach 20 to 40% of the overall cost. As a consequence, energy is a major concern for growers, especially with the fuel price increase. Thus, energy consumption optimization is becoming crucial, in order to make energy savings while maintaining potential yields. To evaluate the impact of energy saving strategies on energy consumptions and CO2 rate in glasshouse by comparison and simulation, heat and mass equations were calibrated with data gathered at the Ctifl center of Carquefou (Nantes). Heat exchange predictive calculations take into account gains and losses by day and night radiation, heating supply, air exchange (enthalpy variation), plant transpiration, wall and soil exchanges. CO2 rate predictive calculations take into account CO2 mass supply, exchange through the vents and consumption by plants. The model validation was made at the scale of the total glasshouse area, with energy and CO2 rate measurements in different conditions, by taking into account different management strategies.
Brajeul, E. and Beaussé, T. (2012). A MODEL FOR PREDICTING ENERGY CONSUMPTION AND CO2 RATE IN GLASSHOUSES. Acta Hortic. 952, 493-500
greenhouse, predicting model, climatic parameters, heat exchange, energy savings, CO2 exchange