Comparative analysis of the management of the results of the modeling and the simulation of the evaluation of the thermal energy of the greenhouse by a fuzzy logic controller between a wet region and an arid region

Currently the climate computer offers many benefits and solves problems related to the regulation, monitoring and controls. Greenhouse growers remain vigilant and attentive, facing this technological development. They ensure competitiveness and optimize their investments / production cost which continues to grow. The application of artificial intelligence in the industry known for considerable growth, which is not the case in the field of agricultural greenhouses, where enforcement remains timid. It is from this fact, we undertake research work in this area and conduct a simulation based on meteorological data through MATLAB Simulink to finally analyze the thermal behavior greenhouse microclimate energy. In this paper we present comparison of modeling and simulation management of the greenhouse microclimate by fuzzy logic between a wetland (Dar El Beida Algeria) and the other arid (Biskra Algeria).Actualmente la computadora climática ofrece muchos beneficios y resuelve problemas relacionados con la regulación, monitoreo y controles. Los productores de invernadero permanecen vigilantes y atentos frente a este desarrollo tecnológico. Aseguran la competitividad y optimizan sus inversiones / coste de producción que sigue creciendo. La aplicación de la inteligencia artificial en la industria destaca por un crecimiento considerable, que no es el caso en el campo de los invernaderos agrícolas, donde la aplicación sigue siendo tímida. Es a partir de este hecho, que emprendemos un trabajo de investigación en esta área y realizamos una simulación basada en datos meteorológicos a través de MATLAB Simulink para finalmente analizar el comportamiento térmico de la energía del microclima de efecto invernadero. En este trabajo presentamos una comparación de la gestión de modelado y simulación del microclima de invernadero por lógica difusa entre un humedal (Dar El Beida Argelia) y otro árido (Biskra Argelia)

Thermal Performance and Environmental Analysis of a Brick Based on Traditional Gypsum Plaster Reinforced with Date Palm fibres

Timchemt is a traditional plaster that has been used for a long time and until today in the construction of the Ksar of Ouargla through their facility of obtaining and realization. In addition to that, because of the use of industrial building materials, nature is carried out by the toxic gases that are produced in factories when these materials are manufactured. So to minimize these negative effects on our planet and to encourage the use of local materials from the Saharan region, we have studied this material to improve its characteristics and to replace the others, especially because it is natural and does not harm the environment. The main objective of this paper is the improvement of the thermal properties of gypsum plaster by mixing it with date palm fibres in order to be used in wall and ceiling mortars. The thermal conductivity, thermal diffusivity, and thermal effusivity of the studied samples were measured using a steady hot plate. The obtained results show that the increase in the mass fraction of date palm fibres resulted in a significant improvement consisting of a reduction of the material's thermal properties. This reduction was up to 36% for the thermal conductivity, 13% for the thermal diffusivity, 23% for the thermal effusivity, and 16% for the volumetric thermal capacity

An efficient tomato diseases detection and classification methodology using CNN Deep Learning Network

In this paper, an efficient methodology for detecting and classifying tomato diseases using a Convolutional Neural Network (CNN) deep learning network is presented as an efficient aided tool to classify different tomato diseases based on their leaf appearence, where plant diseases and insects are considered as a main challenges for farmers to overcome. The proposed methodology structure is based on 20 layers using convolution, Maxpooling, Batch normalization and ReLU process as main operations in the adopted architecture. The obtained results using Plant Village database show that our proposed methodology outclasses the best recent methods of tomato diseases detection and classification with scores of 97.3% 96.8% 97.0% and 97.5% for precision, Recall, F1-Score and accuracy coefficient criteria respectively. Our methodology of tomato diseases detection and classification is found as effective, accurate and aided diagnostic tool that aims to aid farmers to make a precise plant treatments and enhancing productivity while promoting environmental sustainability

Numerical study of heat transfer enhancement in parallel-plate channels with rotating baffles

The present work aims to improve the heat transfer rate in a rectangular channel. To improve the dynamic and thermal characteristics, a deflector is inserted on the axis of the thermal channel. The inclination angles of the deflector are taken into account, α = 90°, 70°, 50° and 30°.H2 gas, which has high thermal conductivity, used to significantly improve the overall thermal performance of various types of thermal equipment. The average Nusselt number is improved by the angle of inclination of the deflector (α = 90°). The Nusselt number (Nu) also increases the temperature difference between the wall surface and the H2 gas, resulting in good cooling for different Reynolds numbers, Re = 5000, 10000, 15000, 20000 and 25000

Analysis of the reliability of photovoltaic-microwind based hybrid power system with battery storage for optimized electricity generation at Tlemcen, north west Algeria

This article considers designing of a renewable electrical power generation system for self-contained homes away from conventional grids. A model based on a technique for the analysis and evaluation of two solar and wind energy sources, electrochemical storage and charging of a housing area is introduced into a simulation and calculation program that aims to decide, based on the optimized results, on electrical energy production system coupled or separated from the two sources mentioned above that must be able to ensure a continuous energy balance at any time of the day. Such system is the most cost-effective among the systems found. The wind system adopted in the study is of the low starting speed that meets the criteria of low winds in the selected region under study unlike the adequate solar resource, which will lead to an examination of its feasibility and profitability to compensate for the inactivity of photovoltaic panels in periods of no sunlight. That is a system with fewer photovoltaic panels and storage batteries whereby these should return a full day of autonomy. Two configurations are selected and discussed. The first is composed of photovoltaic panels and storage batteries and the other includes the addition of a wind system in combination with the photovoltaic system with storage but at a higher investment cost than the first. Consequently, this result proves that is preferable to opt for a purely photovoltaic system supported by the storage in this type of site and invalidates the interest of adding micro wind turbines adapted to sites with low wind resources

Improvement Axial Dispersion Calculation in Fibrous Garnished Fixed Beds Using the Neural Method

To determine accurately the physical modeling of flow through porous media and / or in chemical reactors, especially in the field of low Reynolds numbers, it is essential to compute the coefficient of axial dispersion. In prior studies, we employed the neural method to compute axial dispersion within fixed beds with parallelepiped and spherical packings. In the present study we apply the same method of calculation on heterogeneous fixed beds with large anisotropy using data from Poirier and Trinh on fibrous beds. Such an investigation could be however very useful while one has the desire to predict the mixing process to characterize the axial dispersion in fixed beds of anisotropic particles and when experimental measurements are not accessible and / or difficult to implement as for reactors and / or industrial complex porous media. To show also the robustness and applicability of this method, the calculation results obtained will be modeled using expressions similar to those proposed by Poirier and Trinh, so that we can compare our results with those obtained by these authors, under the same operating conditions. Furthermore, our study offers a comprehensive analysis encompassing all three examined fixed bed configurations, namely parallelepiped, spherical, and fibrous arrangements

Modeling and simulation of fuzzy logic controller for optimization of the greenhouse microclimate management

Abstract. Agricultural greenhouse is largely answered in the agricultural sphere, despite the shortcomings it has, including overheating during the day and night cooling which sometimes results in the thermal inversion mainly due to its low inertia. The glasshouse dressed chapel is relatively more efficient than the conventional tunnel greenhouse. Its proliferation on the ground is more or less timid because of its relatively high cost. Agricultural greenhouse aims to create a favorable microclimate to the requirements of growth and development of culture, from the surrounding weather conditions, produce according to the cropping calendars fruits, vegetables and flower species out of season and widely available along the year. It is defined by its structural and functional architecture, the quality thermal, mechanical and optical of its wall, with its sealing level and the technical and technological accompanying. The greenhouse is a very confined environment, where multiple components are exchanged between key stakeholders and the factors are light, temperature and relative humidity. This state of thermal evolution is the level sealing of the cover of its physical characteristics to be transparent to solar, absorbent and reflective of infrared radiation emitted by the enclosure where the solar radiation trapping effect otherwise called "greenhouse effect" and its technical and technological means of air that accompany. The socio-economic analysis of populations in the world leaves appear especially the last two decades of rapid and profound transformations These changes are accompanied by changes in eating habits, mainly characterized by rising consumption spread along the year. To effectively meet this demand, greenhousesystems have evolved, particularly towards greater control of production conditions (climate, irrigation, ventilation techniques, CO supply, etc.). Technological 2 progress has allowed the development of greenhouses so that they become increasingly sophisticated and of an industrial nature (heating, air conditioning, control, computer, regulation, etc.) New climate driving techniques have emerged, including the use of control devices from the classic to the use of artificial intelligence such as neural networks and / or fuzzy logic, etc. As a result, the greenhouse growers prefer these new technologies while optimizing the investment in the field to effectively meet the supply and demand of these fresh products cheaply and widely available throughout the year, The application of artificial intelligence in the industry known for considerable growth, which is not the case in the field of agricultural greenhouses, where enforcement remains timid. It is from this fact, we undertake research work in this area and conduct a simulation based on meteorological data through MATLAB Simulink to finally analyze the thermal behavior - greenhouse microclimate energy

Transformer winding faults diagnosis using the transfer function of its high-frequency lumped equivalent model from the measured FRA data

The frequency response analysis (FRA) of the transformer is the data obtained in a wide frequency range that represents the transfer function (TF) that reflects the physical behavior of its coil. However, it can be considered one of the best tools for a better understanding of the electromagnetic characteristics of the winding. This article proposes the TF as a tool to locate and assess transformer winding failures. So, an autonomous algorithm has been developed to construct the TF in ‘s domain’ proposed in previous research. The TF has been determined from experimental measured FRA data from an isolated air-core winding, where the TF has been calculated for the axial defects (AD) realized on the winding discs. Besides, the diagnostic approach is based on the scaling factor (K) and the real zero (τ) of the TF that can be obtained from the measured equivalent capacitance, equivalent inductance, and the DC resistance of the winding in high and low-frequency ranges. However, the K, τ, and the slope of the equivalent inductance characteristics as a function of the winding defects degree have been used for locating and assessing the severity of the winding faults

Modeling and optimizing the thermodynamics of a flat plate solar collector in transient mode for economic purposes

This study aims to optimize the economic thermodynamics of a flat plate solar collector and investigate transient heat transfer. This study focuses on modeling and optimization under unfavorable radiation conditions. The method employed here is optimization using a multi-objective genetic algorithm with the assistance of MATLAB software. The key components include objective functions, constraints, and design variables, which are the collector efficiency and the annual total price. The results indicate that increasing the length of the collector has a negative impact on the thermodynamic efficiency and increases the total annual price. Conversely, increasing the width of the collector initially improves the thermodynamic efficiency but then decreases it while also increasing the total annual price. Furthermore, increasing the number of pipes leads to a decrease in the total annual price and an initial increase followed by a decrease in the thermodynamic efficiency. The research was conducted over four different days