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var str = 'A variable step size fuzzy MPPT controller improving energy conversion of variable speed DFIG wind turbine';
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]]>
DFIG]]>
Fuzzy logic]]>
MPPT]]>
Perturbe & Observe]]>
Tip speed ratio]]>
Wind turbine]]>
With the world’s fastest growing rate and the prominent part of installed renewable energy sources, it is clear that wind is now a mainstream source of energy supply that will play a leading role in the proclaimed fight against climate change. But becoming mainstream means also assuming new responsibilities, including ensuring the reliable and cost-effective functioning of the overall energy system. In this context, this paper deals with the problem of extracting the wind turbine maximum power, power that depends on the random nature of wind speed and the nonlinear characteristic P = f(w) making it more difficult to extract. For this task, we propose a variable step size fuzzy maximum power point tracking controller. The proposed controller is tested on wind turbine based on a doubly-fed induction generator controlled by a field-oriented control implemented using Matlab/Simulink environment. Simulation results are presented showing a net improvement using the proposed MPPT to converge toward the optimal point with good accuracy and low oscillations around the MPP point achieving better performances.]]>
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var str = 'Harrag, Abdelghani';
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]]>
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var str = 'Messalti, Sabir';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 295 - 308]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 295 - 308]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/628/1192]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/628]]>
10.54966/jreen.v20i2.628]]>
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var str = 'Thermal behaviour of latent thermal energy storage unit during charging and discharging processes: effects of HTF inlet velocity';
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]]>
Latent thermal energy storage]]>
Phase change material]]>
Heat transfer fluid]]>
Charging and discharging processes]]>
Melting fraction]]>
In order to study the transient thermal behaviour of a shell-and-tube latent thermal energy storage (LTES) unit using phase change material (PCM) under variable heat transfer fluid (HTF) inlet velocities, a mathematical model based on the enthalpy formulation was developed and numerically investigated using a computational fluid dynamic. The effects of HTF inlet velocity on the transient thermal behaviour of the unit in term of PCM temperature and melting fraction evolution, as well as the unsteady total energy stored evolution are determined. The results show that charging and discharging processes have three periods for the change of temperature regarding to time in PCM: rapidly changing period, no changing period and slowly changing period. The whole LTES process during the two cycles can be divided into three periods for the change of melting fraction regarding to time in PCM: the first is sensible heat charging/discharging period; the second is latent heat charging / discharging period and the third is sensible heat charging / discharging period again. Increasing the HTF inlet velocity slowly increases the temperature and melting fraction evolution. The total energy stored gradually increase from minimum value to maximum value defined the end of the process; the amount of total energy stored under different HTF inlet velocities is the same, except the time needed for completing charging or discharging processes.]]>
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var str = 'Benmoussa, Fouzi';
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]]>
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var str = 'Benzaoui, Ahmed';
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]]>
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var str = 'Benmoussa, Hocine';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 285 - 293]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 285 - 293]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/627/1191]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/627]]>
10.54966/jreen.v20i2.627]]>
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var str = 'Optimisation du dimensionnement d’un système hybride photovoltaïque/éolien par des méthodes méta heuristiques';
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]]>
Système hybride (éolien-solaire)]]>
Optimisation - Méthode de la LPSP]]>
Coût du kilowattheure (LUEC)]]>
Méthodes méta heuristiques]]>
L’étude présentée dans ce papier, porte sur l’optimisation du dimensionnement d’un système d’énergie hybride photovoltaïque/éolien en utilisant les batteries Lithium-Ion comme moyen de stockage, où les résultats obtenues sont comparés à ceux du même système hybride avec des accumulateurs classiques (Plomb-Acide). Cette méthodologie est décrite en utilisant deux méthodes méta heuristiques: l’optimisation par essaim de particules accélérées (Accelerated Particle Swarm Optimisation_APSO) et la recherche coucou (Cuckoo Search_CS). Ainsi, notre problème d’optimisation est caractérisé par une fonction objective représentée par le coût du kilowattheure d’énergie produite (Levelised Unit Electricity Cost_LUEC), et une contrainte principale qui est en relation avec la fiabilité du système. Cette contrainte est représentée par le concept de la probabilité de perte d’énergie (Loss of Power Supply Probability_LPSP). Cette étude est effectuée en utilisant des données météorologiques sur une période d’une année, récoltées à l’aide du logiciel Météonorm disponible au niveau du CDER (Centre de Développement des Energies Renouvelables). Une étude de cas a été conduite pour analyser un projet de système hybride dédié à alimentation d’un groupement de maisons constitué d’une trentaine d’habitats individuels, localisés dans trois sites en Algérie, à savoir Adrar, El Bayadh et El Kala.]]>
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var str = 'khenfous, Soumia';
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]]>
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var str = 'Kaabeche, Abdelhamid';
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]]>
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var str = 'Diaf, Said';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 267 - 284]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 267 - 284]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/626/1190]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/626]]>
10.54966/jreen.v20i2.626]]>
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var str = 'Identification et commande numérique des procédés industriels en utilisant LabVIEW: Réalisation pratique';
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]]>
Commande robuste]]>
Identification des systèmes]]>
Synthèse de régulateurs]]>
LaBVIEW]]>
Procédés industrielles]]>
L’objectif de ce travail est d’apporter des contributions à une méthodologie intégrée pour l’identification et la commande des procédés industriels en temps réel. La première ambition de proposer une réalisation d’un outil d’identification et de commande numérique, puis faire appliquer la commande PI, PID, RS, RST, RSTM et floue sur un système de pompage d’eau et un moteur à courant continu. Nous avons proposé une méthode qui conduit rapidement au calcule d’un régulateur robuste pour un large nombre d’applications réelles en suivant les trois étapes fondamentales: acquisition des données E/S, identification du modèle, calcul du régulateur.]]>
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var str = 'Taleb, Rachid';
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]]>
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var str = 'Benyamina, Abderrahmen';
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]]>
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var str = 'Chabni, Fayçal';
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]]>
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var str = 'Mekrelouf, Ahmed';
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]]>
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var str = 'Namoune, Abdelhadi';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 253 - 266]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 253 - 266]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/625/1189]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/625]]>
10.54966/jreen.v20i2.625]]>
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var str = 'Contribution à l’étude de la durabilité de mortier de plâtre à base de sable de dunes renforcé par des fibres de palmier dattier';
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]]>
Plaster]]>
Sand dunes]]>
Date palm fibers]]>
Strength]]>
L'objectif principal de cette étude, c’est la valorisation des matériaux locaux (plâtre, sable de dunes et les fibres de palmier dattier) pour la région du sud algérien. Élargir le domaine de l'utilisation de ces matériaux dans la construction. Nous notons que malgré l'existence énorme de gypse, mais son utilisation est limité à certains travaux secondaires tels que les enduits et les éléments de décor. Le sable des dunes et les fibres de palmier, utilisés dans le domaine de la construction sont très rares. Au cours de cette étude, il a été ajouté le sable de dunes et les fibres de palmier au plâtre, afin de trouver un mortier ayant des propriétés physiques et mécaniques qui permettent son utilisation dans la construction.]]>
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var str = 'Rachedi, Mokhtar';
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]]>
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var str = 'Kriker, Abdelouahed';
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]]>
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var str = 'Mokhtari, Abdessamed';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 243 - 251]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 243 - 251]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/624/1188]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/624]]>
10.54966/jreen.v20i2.624]]>
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var str = 'Speed regulator and hysteresis based on artificial intelligence techniques of three-level DTC with 24 sectors for induction machine';
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]]>
Induction motor]]>
Direct torque control]]>
PI-flou]]>
Neural hysteresis]]>
Sectors]]>
Fuzzy hysteresis]]>
Direct torque control (DTC) of induction motor (IM) is important in many applications. In this paper presents a three-level direct torque control with 24 sectors is applied for IM using PI-flou controller and hysteresis regulators based in artificial intelligence techniques. The DTC system is known to offer fast decoupled control between torque and flux via a simple control structure. Nevertheless, DTC system has two major drawbacks, with are the variable inverter switching frequency and high torque output ripple. The validity of the proposed control scheme is verified by simulation tests. The stator flux, torque, and current are determined and compared to the above technique.]]>
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var str = 'Benbouhenni, Habib';
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]]>
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var str = 'Taleb, Rachid';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 231 - 242]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 231 - 242]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/623/1187]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/623]]>
10.54966/jreen.v20i2.623]]>
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var str = 'Comparative analysis of NR and DE methods for multilevel inverters: An experimental case study';
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]]>
Multilevel inverter]]>
Harmonic elimination]]>
Newton Raphson]]>
Optimization]]>
Differential evolution]]>
This paper presents an experimental performance comparison between differential evolution (DE) algorithm and Newton Raphson (NR) method for solving the optimal switching problem for multilevel inverters with the objective of improving the output AC voltage quality. The methods are used to compute optimal switching angles to control a multilevel inverter in such way that allows the elimination of low order harmonics; this control technique is called selective harmonic elimination. The proposed inverter in this article is composed of two H-bridge cells with non-equal DC voltage sources in order to generate seven voltage levels. The differential evolution (DE) optimization and the Newton Raphson (NR) algorithm is used to solve non-linear transcendental equations necessary for the (SHPWM). Computational results obtained from computer simulations presented a good agreement with the theoretical predictions. A laboratory prototype based on STM32F407 microcontroller was built in order to validate the simulation results.]]>
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var str = 'Chabni, Fayçal';
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]]>
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var str = 'Taleb, Rachid';
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]]>
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var str = 'Belboula, Abdelkader';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 219 - 230]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 219 - 230]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/622/1186]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/622]]>
10.54966/jreen.v20i2.622]]>
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var str = 'Comparison of three methods for estimating the global solar radiation of Faya-Largeau in the Saharan zone, Chad';
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]]>
Global solar radiation]]>
Faya-Largeau]]>
Sabbagh]]>
Angstrom]]>
Allen]]>
In this work, we make a confrontation between measured values of the solar radiation given by NASA and those estimated by the mathematical models suggested in the literature. The chosen mathematical models are those of the model of Angstrom, Allen and the model of Sabbagh which are described as the best models. The three methods used the root mean square error (RMSE),mean bias error(MBE), mean percentage error(MPE) and nash- sutcliffe equation(NSE) was compared with failure analysis. The site of Faya-Largeau has been chosen as reference. The comparative study of the obtained results showed that the model of Sabbagh presents a best estimation of the global solar radiation with a value of 6.013 kWh/m2/day in particular for an incidence on horizontal level. Well cavity, it arises that the site of Faya-Largeau being in the Saharan zone of Chad has a good solar potential for the exploitation of photovoltaic solar energy.]]>
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var str = 'Soulouknga, Marcel Hamda';
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]]>
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var str = 'Falama, Ruben Zieba';
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]]>
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var str = 'Doka, Serge Yamigno';
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]]>
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var str = 'Kofane, Timoléon Crépin';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 209 - 217]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 209 - 217]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/621/1185]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/621]]>
10.54966/jreen.v20i2.621]]>
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var str = 'Modélisation et identification par les réseaux de neurones d’un système énergétique éolien à base d’une génératrice asynchrone';
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]]>
Modélisation]]>
Identification]]>
ANN’s]]>
Eolienne]]>
GAS]]>
Stockage]]>
L’objectif de ce travail est de modéliser les principaux composants du système énergétique éolien, essentiellement la génératrice asynchrone (GAS) et la turbine éolienne, ainsi que le développement d’un outil d’identification et d’optimisation, tel que les réseaux de neurones (ANN’s) pour l’étude de la quantité de charge de l’unité de stockage d’un système énergétique éolien autonome. La modélisation et l’identification de toute la chaîne de conversion est une phase importante pour pouvoir déterminer les caractéristiques optimales du système éolien.]]>
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var str = 'Belatel, Mimi';
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var str = 'Ouazeta, Abdelghani';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 195 - 208]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 195 - 208]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/620/1184]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/620]]>
10.54966/jreen.v20i2.620]]>
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var str = 'Evaluation of electrical power losses of photovoltaic modules subjected to partial shading conditions in the three climatic regions of Cameroon';
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Electrical powerlosses]]>
Partial shading conditions]]>
Analytic and iterative methods]]>
Comparative analysis]]>
This paper studies the behavior of three types of photovoltaic panels operating under partial shading conditions in the three climatic regions of Cameroon. The phenomenon of partial shading constitutes one of the factors which drastically disrupt the electric power produced by the photovoltaic generators. It is to contribute to solve this problem that we modelled the PV panels operating in partial shading conditions under the climatic parameters of the study area. The analytical method combined with the iterative method are used for the determination of PV module parameters under partial shading conditions. Studies were carried out over a period of one year in three cities, respectively: Yagoua for the sudano-sahelian region, Tchollire in the sudanese region and Tibati in the southern equatorial region. Three types of PV panels were used {polycrystalline (MSX-60), monocrystalline (Shell SP70) and CIS thin film (Shell ST40)}. The electrical power losses of each type of panel were evaluated.]]>
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var str = 'Dadjé, Abdouramani';
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var str = 'Djongyang, Noël';
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var str = 'Tchinda, René';
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]]>
Journal of Renewable Energies; Vol. 20 No. 2 (2017): Volume 20 (Regular); 179 - 193]]>
Journal of Renewable Energies; Vol. 20 No 2 (2017): Volume 20 (Regular); 179 - 193]]>
2716-8247]]>
1112-2242]]>
10.54966/jreen.v20i2]]>
Renewable Energy Development Center]]>
2023-10-12]]>
Copyright (c) 2021 Journal of Renewable Energies]]>
https://creativecommons.org/licenses/by-sa/4.0]]>
https://revue.cder.dz/index.php/rer/article/view/619/1183]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
https://revue.cder.dz/index.php/rer/article/view/619]]>
10.54966/jreen.v20i2.619]]>