Articles
AN EVALUATION OF VENTILATION SYSTEM PERFORMANCE BY USING A HEAT ENERGY CONTENT APPROACH
Article number
919_19
Pages
153 – 161
Language
English
Abstract
One of the most critical sectors as long as energy and water are concerned is the intensive crop production, which requires high input of fossil energy, pesticides and nutrients in order to keep the important variables such as temperature, relative humidity and CO2 inside of the desired levels for optimal plant production.
The final purpose is to be able to produce high quantity and quality crops with minimum energy consumption.
This study was conducted at the experimental greenhouse located in the Horticultural Institute at Humboldt University of Berlin.
Two variables are analyzed: photosynthesis for measuring the plant performance as a response of the environ-mental control and enthalpy to know the heat energy content of the air which includes latent and sensible energy inside the greenhouse for a combined description of the temperature/humidity regime.
A sensitivity analysis was applied for photosynthesis and enthalpy using Artificial Neural Networks in order to identify the most important variables affecting both variables.
Also, a dimensionless index, β, which depends on the enthalpies inside and outside is calculated to measure the performance of the ventilation in keeping the temperature and relative humidity within the desired levels for optimal tomato production.
The results would help to identify actions needed for improving the controls.
For instance modifying the vent configuration a better and more precise control is possible.
The final purpose is to be able to produce high quantity and quality crops with minimum energy consumption.
This study was conducted at the experimental greenhouse located in the Horticultural Institute at Humboldt University of Berlin.
Two variables are analyzed: photosynthesis for measuring the plant performance as a response of the environ-mental control and enthalpy to know the heat energy content of the air which includes latent and sensible energy inside the greenhouse for a combined description of the temperature/humidity regime.
A sensitivity analysis was applied for photosynthesis and enthalpy using Artificial Neural Networks in order to identify the most important variables affecting both variables.
Also, a dimensionless index, β, which depends on the enthalpies inside and outside is calculated to measure the performance of the ventilation in keeping the temperature and relative humidity within the desired levels for optimal tomato production.
The results would help to identify actions needed for improving the controls.
For instance modifying the vent configuration a better and more precise control is possible.
Authors
R. Salazar, A. Rojano , I. Lopez, U. Schmidt , C. Huber
Keywords
photosynthesis, enthalpy, artificial neural networks, ventilation
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