Abstract
Tunisia is one of the several countries where the agricultural greenhouses are used for maintaining the inside climate on its favorable environmental condition for production and plant growth. The agricultural greenhouse presents a complicated procedure because of the strong perturbations and the important number of its input parameters, which have a great potential and capacity to influence the climate inside it. A Fuzzy Logic Controller (FLC) is developed in order to promote a suitable microclimate by acting on the appropriate actuators installed inside the greenhouse such as the ventilation, the heating system, the humidifying, and the dehumidifying systems with the appropriate rate. The dynamic modeling of the studied greenhouse is presented and experimentally validated in the Research and Technology Center of Energy (CRTEn) in Tunisia and it is simulated using MATLAB/Simulink environment. Agricultural greenhouse presents an important number of its inputs; which have a great potential and capacity to influence the variation of the output parameters such as the internal temperature and the relative humidity. For this purpose, a contribution to combine a small wind turbine system to a greenhouse in order to power the actuators allows reducing the cost of the agricultural production.
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Abbreviations
- C a :
-
Specific heat of air (J kg−1 K−1)
- d a :
-
Air density (kg m−3)
- H :
-
Relative humidity
- h :
-
Heat transfer coefficient (W m−2 K−1)
- I :
-
Solar radiation (W m−2)
- LAI:
-
Leaf area index
- l :
-
Characteristic length of the leaf canopy (m)
- m :
-
Measured parameters
- n :
-
Number of variables
- N h :
-
Number of heaters
- T :
-
Temperature (K)
- r a :
-
Aerodynamic resistance (s m−1)
- r s :
-
Stomatal resistance (s m−1)
- RE:
-
Rate of air infiltration (m3 s−1)
- S :
-
Surface area (m2)
- P(T):
-
Water vapor pressure at temperature T (kPa)
- Q :
-
Heat rate (W)
- V :
-
Volume (m3)
- V r :
-
Ventilation rate (m s−1)
- W :
-
Wind velocity (m s−1)
- Z :
-
Depth of the soil
- \( \beta \) :
-
Pitch angle
- \( \alpha \) :
-
Absorptivity for solar radiations
- \( \alpha_{\text{t}} \) :
-
Absorptivity for thermal radiations
- \( \varepsilon \) :
-
Emissivity
- \( \gamma \) :
-
Psychometric constant (kPa K−1)
- \( \lambda \) :
-
Thermal conductivity (W m−1 K−1)
- \( \rho \) :
-
Reflectivity
- \( \sigma \) :
-
Stefan–Boltzmann constant 5.670 × 10−8 W m−2 K−4
- \( \tau \) :
-
Transmissivity
- av:
-
Average
- c:
-
Cover
- ca:
-
Canopy
- i:
-
Inside
- o:
-
Outside
- s:
-
Soil
- sky:
-
Sky
- inf:
-
Infiltration
- ventilation:
-
Ventilation
- heating:
-
Heating
- A:
-
Absorbed heat
- C:
-
Convective heat
- Cd:
-
Conductive
- L:
-
Latent heat
- R:
-
Radiation heat
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Bouadila, S., Ben Ali, R. (2018). Low-Cost Systems for Agriculture Energy Management in Tunisia. In: Sharma, A., Shukla, A., Aye, L. (eds) Low Carbon Energy Supply. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-7326-7_5
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