Energy consumption is a major economic concern in greenhouse crop production, especially during the winter for growers in cold climatic regions. When the cost of energy increases, growers are inclined to decrease the greenhouse temperature to reduce daily energy consumption. However, no clear criteria or energy-saving strategies are available when energy cost is considered in terms of energy consumption per plant during the total growing period. Determining energy consumption to produce a plant is not straight forward ; when greenhouse temperature increases, time to flower decreases and energy consumption per day increases.
We developed a model that predicts total energy consumption to produce a plant by combining an energy consumption model and a plant growth model. The energy consumption model outputs the required energy to heat a greenhouse to a specific temperature using climatic data inputs, such as drybulb temperature, relative humidity, solar radiation, and wind speed. The model also predicts greenhouse temperature when solar radiation heats the greenhouse above the temperature setpoint, even without heating. The plant growth model describes the quanti-tative relationship between greenhouse temperature and plant growth rate.
A simulation study was performed with the energy consumption and plant growth modelsusing measured climate data in Michigan, USA (lat. 43°N).From January to May, total energy consumption per plant is predicted to increase as greenhouse temperature decreases, assuming that temperature does not exceed that for optimum crop development. Crops take longer to flower as the greenhouse temperature decreases, and this additional time in the greenhouse occurs during cold periods of the year. Therefore, this simulation indicates that reducing greenhouse temperature to reduce daily energy consumption is actually counterproductive, as the total energy consumption to produce the crop actually increases.
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