6 10 944 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Merouane, Habib Senouci, Mohammed Drai, Ismail Sahnoun, Rachid Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource In this work we present a numerical study on the aerodynamic behavior of a vertical axis wind turbine of the Savonius type for different axial positions between the blades (overlap rates a/D). The study focuses on predicting the effect of the axial position of the blades to the torque coefficient and also to determine the dynamic field of the flow around the wind turbine for three cases overlap rates (a/D=0, a/D=0.16 and a/D=0.32). The study of the numerical simulation is carried out using a CFD calculation code with use of the finite volume method for the discretization of the differential equations. The equations governing the flow are solved by the SIMPLE algorithm using the K-epsilon model as the closure model. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1053 10.54966/jreen.v1i1.1053 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1053/966 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 171 – 178 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 171 – 178 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Savonius turbine Wind turbine vertical axis wind Title A name given to the resource Aerodynamic study of a Savonius type vertical axis wind turbine for different axial positions between the blades Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Medkour, Mihoub Roudane, Mohamed Mderes, Mourad Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource In this study we investigated the properties of the species diffusion layer (ADL) affect the optimal performance of the electrode [1]. Diffusion layers (DL) are porous media allowing reactive gases and liquids to move from distribution channels to catalyst layers (CC). Diffusion layers are an essential part of the PEM fuel cell and the porosity of these layers has a significant effect on the performance of the PEM fuel cell. The effects of diffusion layer porosity (ADL) on fuel cell performance are illustrated by the distribution curves of methanol and carbon dioxide at the anode, water and oxygen distribution at the cathode. and polarization curves. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1052 10.54966/jreen.v1i1.1052 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1052/982 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 159 – 169 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 159 – 169 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource COMSOL multiphysique direct methanol fuel cell modeling methanol crossover water crossover Mass transport Title A name given to the resource Study of the effect of ADL anodic diffusion layer on the performance of a direct methanol fuel cell (DMFC) Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Loumani, Akil Larbi, Ahmed Amine Mediani, Ahmed Braham Chaouch, wafa Foullanine, Meriama Tigani, Cherif Djaber, Abdelkrim Belkacem, Zahra Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource The figs are considered one of the fruits of paradise due to their great nutritional value that brings health back to the citizen, including protection from malnutrition. However, the consumption of the inhabitants of Adrar state for this fruit is very little and that is the lack of abundance in the market during the season, in addition to the rapid spoilage of this delicate fruit in case It was transported from the north due to the difficult delivery conditions, including the period and method of transportation to the province. Therefore, the solar drying team studied the preservation of this material through the solar drying method in order to preserve and store it for consumption throughout the year. In this study, the fresh figs were screened for the drying process using indirect solar, after that, the microbiological and physicochemical properties was tested in order to evaluate the nutritive value and hygienic quality of dried figs. The results revealed the presence of mesophilic aerobic total bacteria and coliform total, as well as the absence of Salmonella Typhi, Staphylococcus aureus, Clostridium perfringens, and certain yeast colonies. The pH value, activity water, dray matter, and ash assay findings were (0.41), (7.5%), (5.71%), and (5.71%), respectively, which do not impact the final quality of the dried goods and are satisfactory to the standards required by Algerian commercial legislation. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1051 10.54966/jreen.v1i1.1051 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1051/964 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 151 – 158 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 151 – 158 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Dried Figs assessment Microbiological quality Physiochemical quality Adrar Title A name given to the resource Assessment Microbiological and Physicochemical Quality of Figs Dried in Adrar Region, Algeria Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Lekouaghet, Badis Touil, Sid-Ahmed Boubakir, Chabane Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource Usually the model parameters of photovoltaic (PV) cells are unavailable in their datasheet provided by the manufacturers. Hence, the problem of extracting appropriate PV parameters is of high importance, and has been highly attracted by researchers. This paper presents a new method to estimate the parameters of the one diode model (ODM), namely quasi-oppositional Rao-1 optimization algorithm (QORao-1). The present method uses only addition and multiplication operations with a quasi-oppositional-based learning process, in order to improve the exploration capability of the original Rao-1 algorithm. Hence, an attractive amelioration in the Root-Mean-Square-Error (RMSE) values is acquired. Comparative performance analysis demonstrates that the QORao-1 algorithm has better performance in terms of robustness and accuracy while estimating the PV parameters than many well-known algorithms. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1050 10.54966/jreen.v1i1.1050 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1050/963 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 143 – 149 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 143 – 149 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Modelling Optimization Parameters identification Photovoltaic Rao-1 algorithm Title A name given to the resource Extraction of electrical parameters for one diode photovoltaic model using quasi-oppositional Rao-1 optimization algorithm Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kouba, Nour EL Yakine Sadoudi, Slimane Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource Due to the increase of the demand for electrical power and the gaining of momentum of decentralized electrical production, the importance of microgrids is increasing constantly. Therefore, it is pertinent to understand how microgrids work and develop efficient systems to supervise and manage the produced electrical power. This paper deals with an optimal energy management system (EMS) for multi-sources hybrid microgrid. The investigated hybrid system incorporating Diesel Engine (DE), Photovoltaic generator (PV), Wind farm, Fuel Cells (FCs) and Electrolyzers. The proposed strategy was based on a combined optimal Fuzzy Logic and Genetic Algorithm (GA). The GA have been employed to optimize the scaling factors of fuzzy logic to give better results. The power demand variation was considered as disturbance, where, the optimal Fuzzy-GA was implemented to ensure microgrid balance. The effectiveness of the proposed strategy was demonstrated througth various scenarios, and the behavior of the microgrid was analyzed without and with storage system. The obtained results were compared and the proposed strategy proves the validity as a strong optimization tool that can cope with load variation. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1049 10.54966/jreen.v1i1.1049 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1049/981 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 129 – 141 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 129 – 141 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Optimal Energy Management System Microgrid Renewable Energy Sources Storage system Fuzzy Logic Genetic Algorithm Title A name given to the resource Optimal Energy Management of Hybrid MicroGrid Using Storage System and Fuzzy-GA Method Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Hamiche, Ait Mimoune Boudghene Stambouli, Amine Flazi, Samir Koinuma, Hideomil Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource This paper summarises the findings of many studies and surveys in the water and energy sectors in order to make recommendations for water and energy policies in Algeria. We provide an overview of current policy concerning water, energy, and climate change. We investigate the impact of the water-energy nexus on current policy developments. We made specific proposals to aid in the integration of water and energy policies in Algeria. This study demonstrates how, in the absence of integrated policies, the inextricable historical linkages between water and electricity have given rise to spurious trade-offs between water and energy. Drought and climate change are projected to increase demand for electricity, and water sector adaptation strategies have the potential to contribute to climate change by encouraging investment in energy-intensive technologies such as desalination and enhanced wastewater treatment. The findings indicate that demand management programmes and water pricing regulations that lower water and energy intensity in important industries are likely to benefit Algeria's whole economy and environment. The findings are equally applicable to other countries confronted with the burden of developing appropriate strategies to manage their water and energy issues. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1048 10.54966/jreen.v1i1.1048 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1048/960 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 117 – 127 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 117 – 127 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Algeria policies energy water Title A name given to the resource Future Sustainable Water and Energy Policy for Algeria Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Hadri, Kamel Boulal, Ahmed Cheikh, Nawel Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource Climate change is one of the biggest challenges facing the planet today. It is important to ensure access to energy to promote quality of life and economic development. It is therefore essential to address this problem in sustainable development. Advances in the development of new technologies have given hope that the goals will be attainable in the field of energy. Currently, biotechnological processes make it possible to promote this fruit of the desert date tree and make available to citizens a new generation of products with high added value such as bioethanol. In this context, various alcoholic fermentation tests at the laboratory level are carried out to determine the dilution rate, in order to optimize the process. We compared the degree of crude alcohol of four dilutions, i.e. the dilution by (six, nine, ten and eleven times) of the mass (110) g of the Balanites fruits pulp. We obtained after the distillation step, the following optimization results for the fermentation of the four substrates at different dilution than the 10-fold dilution of the substrate gave the best yield. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1047 10.54966/jreen.v1i1.1047 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1047/959 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 109 – 115 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 109 – 115 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Biomass Balanites aegyptiaca Bioethanol Fermentation Title A name given to the resource Ethanol Production by Balanites aegyptiaca Fruits Valorization in the Adrar Region of Algeria Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Hadjaissa, Aboubakeur Gahgouhi, Otmane Ameur, Khaled Rabehi, Abdelhamid Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource This paper presents a study of an Intelligent Maximum Power Point Tracking (IMPPT) system for the Standalone PV system. The proposed MPPT technique is based on a fuzzy control concept (FLC). FLC is easy to design due it doesn’t require precise system knowledge and work well with the nonlinear systems; the obtained results were compared with the famous MPPT method (P&O). According to the obtained simulation results, the proposed method gave good results compared to the P&O technique, these results are shown by the low oscillation and rapid response of the proposed method, which provides the maximum transmission of power to the load. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1045 10.54966/jreen.v1i1.1045 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1045/958 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 101 – 107 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 101 – 107 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Photovoltaic system maximum power point tracking (MPPT) fuzzy logic perturb and observe Title A name given to the resource Fuzzy logic concept based MPPT technique for standalone PV system Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gueboudji, Zakia Kadi, Kenza Nagaz, Kamel Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource The objective of this study was to evaluate in vitro the antioxidant activity of polyphenols from olive oil mill wastewater in Khenchela region eastern of Algeria after conducting a phytochemical screening. The extraction of polyphenols was done by the maceration method. The quantitative estimate of the total polyphenols and flavonoids was evaluated by the colorimetric method. Antioxidant activity was evaluated in vitro using three tests DPPH, ABTS and FRAP and ascorbic acid as a reference antioxidant. The results obtained showed that the phytochemical screening carried out allowed us to highlight the presence of polyphenols, flavonoids, tannins and reducing sugars with large quantities, sterols and terpenoids in lesser amounts. The values of total polyphenols and flavonoids were sequential: (925.8 8.1 g GAE/mL) and (45.97 9.5 g QE /mL). The values of the antioxidant activity obtained from the three tests DPPH, ABTS, and FRAP were successively the followings: (IC50: 144.52 1 g/mL), (IC50: 169.6 35.3 g/mL) and (IC50: 248.13 10.1 g/mL). At the end of this study, it appears that OMW polyphenolic extract has an important antioxidant power. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1044 10.54966/jreen.v1i1.1044 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1044/984 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 93 – 99 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 93 – 99 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource ABTS DPPH FRAP OMW Phytochemical Screening Polyphenols Title A name given to the resource Phytochemical Screening and Assessment of The Antioxidant Activity of Bio-phenols of Olive Oil Mill Wastewater From The Cold Extraction of Olive Oil in Khenchela Region Eastern of Algeria Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review Articles Journal of Renewable Energies Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Djoudi, Oualid Lalouni Belaid, Sofia Tamalouzt, Salah Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource This paper presents the performances improvement of a doubly fed induction generator (DFIG) driven by a wind turbine (WT) using direct torque control (DTC). However, the major drawbacks related to DTC are high torque/flux ripples that produce mechanical vibration and disagreeable noise. The use of multilevel inverters seems to be an interesting solution. A three-level voltage source (inverter) converter (3LVSI) connected to the rotor side of the DFIG is considered in this paper. The high freedom degree of the voltage vectors selection in the 3LVSI allows a control with minimal torque and flux ripples. In addition, a fuzzy logic approach is introduced, to ensure an intelligent extraction of the energy sweeping the WT blades. A variable adjustment step enables an optimal extraction in a minimum tracking time with significant reduction of oscillations in the steady state. Simulation results obtained using MATLAB/SIMULINK demonstrate the effectiveness of the 3LVSI-DTC control based on Fuzzy MPPT in the wind energy conversion system (WECS). Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://revue.cder.dz/index.php/rer/article/view/1042 10.54966/jreen.v1i1.1042 Language A language of the resource eng Publisher An entity responsible for making the resource available Renewable Energy Development Center Relation A related resource https://revue.cder.dz/index.php/rer/article/view/1042/956 Rights Information about rights held in and over the resource Copyright (c) 2022 Journal of Renewable Energies https://creativecommons.org/licenses/by-sa/4.0 Source A related resource from which the described resource is derived Journal of Renewable Energies; ICREATA 2021 (Special Issue); 81 – 91 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 81 – 91 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Doubly fed induction generator Three-level voltage source inverter Direct torque control Fuzzy MPPT Wind turbine Title A name given to the resource A high degree of direct torque control applied to a grid-connected wind energy system based on a DFIG Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings