Didi Faouzi , N. Benmoussa, N. Bibi-Triki, A. Bouhdjar, A. Abène
Didi Faouzi, Modeling and simulation of heating, cooling and ventilation systems to optimize the microclimate management of the greenhouse by fuzzy logic controller(-0001)SDRP Journal of Computer Science 1(1)
Air conditioning is the technique of modifying, controlling and regulating climatic conditions, it is a mode of thermal comfort adapted when the temperature outside the agricultural greenhouse is high. In summer and in off-season, the need for air conditioning is due to external inputs (solar in particular) but also to the internal contributions of the greenhouse. It brings the thermal comfort of summer, inter seasons, but also in winter by using the same system to heat the greenhouse. Comfort in hygrometry is also taken into account to provide an ambient humidity controlled by moistening and dehumidification actions. Air conditioning is essentially a heat pump of a size suitable for use. Thanks to better control of the internal atmosphere of the greenhouse, we can obtain a better yield from our plantations, better quality, more quantity and uniformity in our crops, as well as a strong presence and strength in the national market and international. In Algeria, greenhouse cultivation is undergoing significant development. To meet an increasingly competitive market and conditioned by increasingly stringent quality standards, "Greenhouse" production systems (heating and air-conditioning systems) Become considerably sophisticated and then disproportionately expensive. That is why locks who want to remain competitive must optimize their investment by controlling production conditions. The aim of our work is to model heating and air conditioning systems whose goal of heating and cooling the air inside our model and implemented in our application of climate control are due to the fuzzy logic that Has the role of optimizing the cost of the energy supplied using MATLAB software.
Keywords: Optimization, Modelling, Simulation, Heater systems, Intelligent control, Fuzzy logic, Greenhouse, Cooling pads.
Didi Faouzi , N. Bibi Triki and A. Chermitti, 2016. Optimizing the greenhouse micro-climate management by the introduction of artificial intelligence using fuzzy logic. Int. J. Computer Eng. Technology, 7: 78-92 , Volume 7, Issue 3, May-June 2016, pp. 78?92, Article ID: IJCET_07_03_007.
Didi Faouzi , N. Bibi-Triki , B. Draoui , A. Ab?ne, 2016 , Modeling, Simulation and Optimization of- agricultural greenhouse microclimate by the application of-artificial intelligence and/or fuzzy logic, International journal of scientific & engineering research, volume 7, issue 8, august-2016 issn 2229-5518.
Didi Faouzi , N. Bibi-Triki , B. Draoui , A. Ab?ne, 2016 Comparison of modeling and simulation results management micro climate of the greenhouse by fuzzy logic between a wetland and arid region, International Journal of Multidisciplinary Research and Modern Education (IJMRME) ISSN (Online): 2454 - 6119, Volume II, Issue II, 2016 .
Didi Faouzi, N. Bibi-Triki, B. Draoui, A. Ab?ne, 2016, Modeling and Simulation of Fuzzy Logic Controller for the purpose of Optimizing the Management Micro Climate of the Agricultural Greenhouse, MAYFEB Journal of Agricultural Science Vol 2 (2016).
Didi Faouzi , N. Bibi-Triki , B. Draoui , A. Ab?ne, 2017, Greenhouse Environmental Control Using Optimized, Modeled and Simulated Fuzzy Logic Controller Technique in MATLAB SIMULINK, Computer Technology and Application 7 (2016) 273-286, doi: 10.17265/1934-7332/2016.06.002.View Article
Didi Faouzi , N. Bibi-Triki , B. Draoui , A. Ab?ne. Dated 10th March 2017, The Optimal Management of the Micro Climate of the Agricultural Greenhouse through the Modeling of a Fuzzy Logic Controller, International Knowledge Press, Journal of Global Agriculture and Ecology (JOGAE), 7(1): 1-15, 2017, ISSN: 2454-4205, Ref. No. IKP/JOGAE/17/0102.
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