Optimized micro-climate controller of a greenhouse powered by photovoltaic generator

Energy resources and food security are the most important issues for many countries around the world. Climatic conditions affect the agriculture production which is the backbone of the food security for all countries. Protected agriculture presents an effective solution to face this challenge. This paper aims to develop a high tech greenhouse with effective climatic control for greater yield. A fuzzy controller is used to manage the inside temperature and humidity of the greenhouse. Furthermore, based on the high level of solar radiation during summer and the high demand of power, the photovoltaic energy could be investigated to avoid burdening the utility grid by feeding different accessories of the greenhouse. This application is in accordance with the sustainable development and the environment protection where the classical energy resources are substituted with green energy form.Scopu

An intelligent system for the climate control and energy savings in agricultural greenhouses

A greenhouse for crop production is a complex thermodynamic system where the indoor temperature and the humidity conditions have a great impact on the crop yields. This system can be considered a multivariable input output system MIMO. This paper aims at presenting a physical model of a greenhouse, experimentally validated, in order to propose a fuzzy-based controller to manage the indoor climate of a greenhouse using some actuators (induction motors, heating system etc.?) for ventilation, heating, humidifying, and dehumidifying purposes. In addition, a novel approach is presented for energy management by involving the photovoltaic energy in order to minimize the use of conventional electrical grid and to lower costs of agriculture production. The photovoltaic (PV) generator will serve to power a direct torque control (DTC) controlled induction motor which drive a variable speed fan. The validation of the physical model shows a high agreement with the experimental measurement. The simulation results show the effectiveness of the fuzzy controller as well as the PV generator for saving the energy and lowering the costs of crop production into greenhouses.Scopu

An intelligent system for the climate control and energy savings in agricultural greenhouses

A greenhouse for crop production is a complex thermodynamic system where the indoor temperature and the humidity conditions have a great impact on the crop yields. This system can be considered a multivariable input output system MIMO. This paper aims at presenting a physical model of a greenhouse, experimentally validated, in order to propose a fuzzy-based controller to manage the indoor climate of a greenhouse using some actuators (induction motors, heating system etc.…) for ventilation, heating, humidifying, and dehumidifying purposes. In addition, a novel approach is presented for energy management by involving the photovoltaic energy in order to minimize the use of conventional electrical grid and to lower costs of agriculture production. The photovoltaic (PV) generator will serve to power a direct torque control (DTC) controlled induction motor which drive a variable speed fan. The validation of the physical model shows a high agreement with the experimental measurement. The simulation results show the effectiveness of the fuzzy controller as well as the PV generator for saving the energy and lowering the costs of crop production into greenhouses