Optimal Sizing of a Pv-Wind Hybrid System Using Measured and Generated Database

Renewable energy hybrid systems give a good solution in isolated sites, in the Algerian desert; wind and solar potentials are considerably perfect for a combination in a renewable energy hybrid system to satisfy local village electrical load and minimize the storage requirements, which leads to reduce the cost of the installation. For a good sizing, it is essential to know accurately the solar potential of the installation area also wind potential at the same height where wind electric generators will be placed. In this work, we optimize a completely autonomous PV-wind hybrid system and show the techno-economical effects of the height of the wind turbine on the sizing of the hybrid system. We also compare the simulation results obtained from using wind speed measured data at 10 meters and 40 meters of height with the ones obtained from using wind speed extrapolation on HOMER software.

Numerical Simulation of a Textured and Untextured Photovoltaic Solar Cell: Comparative study

Increasing the efficiency of solar cells relies on the surface of the solar cell. In this work, we simulated a textured silicon solar cell. This simulation allowed us to predict the values of the surface parameters such as the angle and depth between the pyramids for an optimal photovoltaic conversion where we found the Icc: 1.783 (A) and Vco: 0.551 (V) with a cell efficiency of about 13.56%. On the other hand, we performed another simulation of a non-textured solar cell to compare our values and found Icc: 1.623 (A) and Vco: 0.556 (V) with an efficiency of about 12.76%.

Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions

In this work, a survey is carried out on six MPPT algorithms which include conventional and artificial intelligence based approaches. Maximum Power Point Tracking (MPPT) algorithms are used in PV systems to extract the maximum power in varying climatic conditions. The following most popular MPPT techniques are being reviewed and studied: Hill Climbing (HC), Perturb and Observe (P&O), Incremental Conductance (INC), Open-Circuit Voltage (OCV), Short Circuit Current (SCC), and Fuzzy Logic Control (FLC). The algorithms are evaluated, analyzed, and interpreted using a Matlab-Simulink environment to show the performance and limitations of each algorithm

Modeling the concentration of carbonyl of ethylene propylene diene monomer during the thermal aging using artificial neural network

The concentration of carbonyl is one of the most important properties contributing to the detection of the thermal aging of polymer ethylene propylene diene monomer (EPDM). In this publication, an artificial neural network (ANN) model was developed to predict concentration of carbenyl during the thermal aging of EPDM using a database consisting of seven input variables. The best fitting training data was obtained with the architecture of (7 inputs neurons, 10 hidden neurons and 1 output neuron). A Levenberg Marquardt learning (LM) algorithm, hyperbolic tangent transfer function were used at the hidden and output layer respectively. The optimal ANN was obtained with a high correlation coefficient R= 0.995 and a very low root mean square error RMSE = 0.0148 mol/l during the generalization phase. The comparison between the experimental and calculated results show that the ANN model is able of predicted the concentration of carbonyl during the thermal aging of ethylene propylene diene monomer

Impact of Optimal Integration of Dispersed Generation in an Electrical Distribution Network

The impact of renewable energy dispersed generation (DG) in the electrical network in a way that increases the level of power also to ensure the continuity of service under better conditions Require many Big challenges, This paper provides a methodology solutions of hybrid photovoltaïque arry (PV) and wind turbine (WT) energy integration in the distribution electrical network with climate data from the wilaya of laghouat (Affiliated to Algeria) with maximal power level 500 kw and maximum power point tracking (MPPT) Incremental Conductance method follow-up to the maximum power point generated by the hybrid pv and wt system to ensure energy demand and improve the quality of electrical networks

Optimal Power Flow Solutions Incorporating Stochastic Solar Power withthe Application Grey Wolf Optimize

The present paper aims to validate an electrical network study in consisting of conventional fossil fuel generators with the integration of intermittent generation technologies based on renewable energy resources like wind power or solar photovoltaic (PV) are the stochastic power output. By using an optimal power flow (OPF) problem different frameworks are developed for solving that represent various operating requirements, such as minimization of production fuel cost, and preserving generation emission at the lowest levels... etc. The OPF analysis aims to find the optimal solution and is very important for power system operation with satisfying operational constraints, planning and energy management. However, the intermittent combination of solar exacerbates the complexity of the problem. Within the framework of these criteria, this paper is an overview of the application Grey Wolf Optimizer (GWO) algorithm which solves the OPF problem with renewable energy. The algorithm thus combined and constructed gives optimum results satisfying all network constraints. Give an explanation for findings are based thus need to be with the optimum to effectuate of network constraints.

Experimental Analysis of a Photovoltaic Power Plant in a Desert Environment– Adrar area –

Algeria has one of the highest solar deposits in the world, the average duration of sunshine in the Algerian Sahara is 3500 hours, and this potential can be an important factor for sustainable development in this region, if it is exploited economical way. In this context, it should be noted that the city of Adrar is located in the region of the "solar belt", which enjoys abundant sunshine of more than 3000 hours of sunshine per year, based on data from Overall hourly irradiation on a horizontal surface, the Adrar region is distinguished by a higher average daily irradiation of up to 5.7 kWh/m2/day. In the present work, an operational performance analysis of a polycrystalline silicon photovoltaic system for one year is performed. The installed capacity of this system is 20 MW, and it is exposed in an arid climate in Adrar of southern Algeria.

Fuzzy logic MPPT control algorithm for a Proton Exchange Membrane Fuel Cells System

Fuel cells output power depends on the operating conditions, including cell temperature, oxygen pressure, hydrogen pressure, tempureter . In each particular condition, there is only one unique operating point for a fuel cell system with the maximum output. Thus, a maximum power point tracking (MPPT) controller is needed to increase the efficiency of the PEMFC systems. In this paper an efficient method fuzzy logic controller is proposed for MPPT of the proton exchange membrane (PEM) fuel cells, boost converter. FLC adjusts the operating point of the PEM fuel cell to the maximum power by tuning of the boost converter duty cycle. To demonstrate the performance of the proposed algorithm, simulation results are sumulated in two cases, in normel condution and variation in temperature .the FLC algorithm with fast convergence, high accuracy and very low power fluctuations tracks the maximum power point of the fuel cell system

Thermodynamic Optimization of an Air bottoming Cycle for Waste Heat Recovery from Preheater Tower in a Cement Industry

This work evaluated the air bottoming cycles(ABC) as a technology for waste heat recovery (WHR) at the level of the preheater tower in a cement industry. An optimization code has been developed in MATLAB environment and linked with REFPROP database as a way to design and calculate the different parameters and points of the cycle. The theory of power maximization is adopted and the genetic algorithm is employedasa way to maximize the net power output of the cycle, while a case study of a real cement plant has been taken into consideration for the examination purpose. Results showed that the integration of the ABC cycle for energy valorization contributes to covering around 8.5% of the industry need for electrical energy, by generating an amount of power that can achieve 1.07 MW.In addition, although the cycle has shown a low efficiency, it can be a practical WHR solution especially in case of water deficiency.

Energy Recovery by Production of Electricity from Anaerobic Digestion of Organic Waste in the Saharan Environment

Anaerobic digestion is a natural process of transforming organic matter into energy by methanogenic bacteria. This process is performed in the digesters in the absence of oxygen, they produce biogas composed mainly of methane (CH4) which is a combustible natural gas we can used in everyday life. In this work, we produced biogas using a continuous digester with a capacity of 4m3 and after the biogas purification; we used methane produced to run the generator to produce electricity. The results are very encouraging, where we have to produce electricity and cover the daily needs of the Algerian individual in electricity using 1m3 of biogas from our digester