5 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 Amaris, Carlos Rodriguez, Andres Bourouis, Mahmoud Date A point or period of time associated with an event in the lifecycle of the resource 2023-10-04 Description An account of the resource This study deals with the evaluation of the technical and environmental operation of solar/gas driven NH3/LiNO3 absorption chillers for malls under the environmental conditions of the city of Barranquilla, Colombia. It involves a sensitivity study on the absorption chillers performance at chilled water temperatures of 12 °C and 6 °C and different solar irradiations. It also includes the share of cooling and CO2 equivalent emissions provided by the absorption chillers considering as a base case the energy consumed by the mechanical vapour compression chillers operating in three selected malls. Results showed that solar energy could provide around 40% and 50% of the total energy required to drive the absorption chillers on a service day. This value could be increased by adding a higher solar panel area, however, the available roof area for solar equipment was a limiting factor. Moreover, the COP and SCOP of the absorption chillers were found up to 0.64 and 0.44, respectively. Additionally, the solar/gas driven absorption chillers could cover up to 83%, 100%, and 35% of the peak cooling requirements in malls 1, 2, and 3, respectively, while providing the highest reductions in CO2 equivalent emissions. 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/1069 10.54966/jreen.v25i1.1069 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/1069/1043 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; Vol. 25 No. 1 (2022): Volume 25 (Regular); 27 – 42 Journal of Renewable Energies; Vol. 25 No 1 (2022): Volume 25 (Regular); 27 – 42 2716-8247 1112-2242 10.54966/jreen.v25i1 Subject The topic of the resource Solar cooling Absorption chillers Ammonia Lithium Nitrate Natural Gas CO2 emissions Title A name given to the resource Technical and environmental performance of a solar/gas driven absorption chiller using NH3/LiNO3 Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 Abena Malobé, Paul Djondiné, Philippe Ntsama Eloundou, Pascal Abena Ndongo, Hervé Date A point or period of time associated with an event in the lifecycle of the resource 2023-10-04 Description An account of the resource This manuscript gives a contribution to the optimization of a hybrid Photovoltaic-Wind Turbine system with a storage system. In order to capture the maximum power that can be produced by each source, while maintaining the rotor speed of the wind turbine at its maximum values according to wind variations, the Neuro-Fuzzy-Particle Swarm Optimization (NF-PSO) controller is proposed. The Neuro-Fuzzy method is used here because it allows an automatic generation of fuzzy rules, and the Particle Swarm Optimization to find an optimal gain allowing to readjust the dynamics of the fuzzy rules by reducing the power losses (oscillations). For the proper functioning of such a system, we have developed a fuzzy supervisor in order to have an optimal control of the system according to the variations of the requested load and the produced power by considering the storage system and the load shedding. The simulation results of the system confirmed the better performance of this method in terms of speed with a response time of 0.2s on the wind side and 0.025s on the side photovoltaic, of efficiency with 99.87% on the photovoltaic side and 99.6% on the wind side, and above all in term of oscillation reduction with practically a negligible oscillation rate compared to the NF and the Cuckoo algorithm. 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/1068 10.54966/jreen.v25i1.1068 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/1068/1042 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; Vol. 25 No. 1 (2022): Volume 25 (Regular); 5 – 25 Journal of Renewable Energies; Vol. 25 No 1 (2022): Volume 25 (Regular); 5 – 25 2716-8247 1112-2242 10.54966/jreen.v25i1 Subject The topic of the resource Neuro-Fuzzy Particle Swarm Optimization Cuckoo Supervisor Oscillations Title A name given to the resource Improvement of the energy production of a photovoltaic-wind hybrid system using NF-PSO MPPT Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 Zellagui, Mohamed Settoul, Samir El-Bayeh, Claude Ziad Belbachir, Nasreddine 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 order to achieve the optimum feasible efficiency, the electrical parameters of the photovoltaic solar cell and module should always be thoroughly researched. In reality, the quality of PV designs can have a significant impact on PV system dynamic modeling and optimization. PV models and calculated parameters, on the other hand, have a major effect on MPPT and production system efficiency. Because a solar cell is represented as the most significant component of a PV system, it should be precisely modeled. For determining the parameters of solar PV modules and cells, the Chaos Game Optimization (CGO) method has been presented for the Single Diode Model (SDM). A set of the measured I-V data has been considered for the studied PV design and applied to model the RTC France cell, and Photowatt-PWP201 module. The objective function in this paper is the Root Mean Square Error (RMSE) between the measured and identified datasets of the proposed algorithm. The optimal results that have been obtained by the CGO algorithm for five electrical parameters of PV cell and model have been compared with published results of various optimization algorithms mentioned in the literature on the same PV systems. The comparison proved that the CGO algorithm was superior. 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/1061 10.54966/jreen.v1i1.1061 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/1061/974 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); 245 – 259 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 245 – 259 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Photovoltaic modelling Single diode model Parameter estimation Chaos game optimization Title A name given to the resource Chaos Game Optimization Algorithm for Parameters Identification of Different Models of Photovoltaic Solar Cell and Module 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 Youcef, Ahmed Saim, Rachid Kourti, Mohammed Chokri Benhamou, Mohammed 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 A research on Thermo-hydraulic performance carried out on three types of heat exchanger with different baffles inclination 15°, 25°, 45° by the computer code Fluent, the model achievable is turbulence . The results show big recirculation zones and lower temperature peaks on the outlet for the decreased angles, the average heat transfer coefficient decreased by 1 %, pressure loss decreased by 1.2%, amount of heat exchanged between the tubes and the water increases by 1.2%. 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/1060 10.54966/jreen.v1i1.1060 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/1060/978 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); 237 – 244 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 237 – 244 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Baffle Fluent Pressure loss Angle Title A name given to the resource Numerical analysis termal fluid in a heat exchanger with baffles inclination 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 Trad khodja, Abdellah Elamrani, Abdelkader Kezzoula, Faouzi Nasraoui, Chahinez Friha, Seif-Eddine 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 One of the main issues in the photovoltaic industry of silicon solar cells is the optical losses via reflection. To overcome this issue, texturization (chemical etching) remains the most commonly used method to produce a random pyramid structure to reduce reflection and thus increase photocurrent generation. Because of the anisotropic etching property of alkaline solution, square-based upright pyramids are formed, i.e., the difference in etching rates between (100) and (111) planes. In this paper, the following etching solutions were studied: 4/10, 6/6, and 10/4 (KOH weight percentage/IPA volume percentage).The optical, morphological, and electric characterizations using UV-Vis spectroscopy, electron scanning microscopy (SEM), and quasi-steady-state photoconductance (QSSPC) device are performed. Also, the standard weighted reflectance (SWR) was calculated. The pyramid size distribution generated using KOH-IPA solutions was investigated using an image processing program (ImageJ) via SEM images. The calculation of the height of the pyramids reveals that the typical pyramid size ranges from 3 to 9 m, with large pyramids of small proportions. Furthermore, when the pyramids are distributed in a mixture of tiny and medium pyramids in precise proportions, the reflectivity is at its lowest, and as the number of large pyramids rises, the reflectivity increases. 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/1059 10.54966/jreen.v1i1.1059 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/1059/972 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); 229 – 236 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 229 – 236 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource ImageJ Potassium hydroxide Pyramids Silicon Texturization Title A name given to the resource Investigation of monocrystalline silicon surface texturization by image processing program 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 Tahrour, Farouk Djeffal, Fares Bordja, Lyes Benmachiche, Abdelmoumene Hakim 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 aims to investigate the influence of tube shapes on thermal-flow characteristics of sinusoidal wavy finned-tube heat exchangers. Two row staggered bundle with six geometries of tubes (four flat tube geometries, one oval tube and a circular tube) are analyzed for a range of (1600 Re 4800). The inspection revealed that the heat flux and the pressure drop decrease with the tube flatness for all Reynolds values. However, the oval tube O1 reaches, for all Reynolds values, the lowest values of heat flux and pressure drop. Regarding the global performance criterion, the sinusoidal wavy fins with O1 shaped tubes reached the highest global performance values, being 14.8–24.4% and 31.6–36.3% higher than the fin with F1 and O2 tube geometry, respectively. 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/1058 10.54966/jreen.v1i1.1058 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/1058/971 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); 219 – 228 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 219 – 228 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Flat tube Oval tube Fluent Heat exchanger Optimization Wavy fin Title A name given to the resource Numerical study to predict optimal configuration of wavy fin and tube heat exchanger with various tube shapes 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 Saber, Houssem Bendaoud, Abdelouadoud Radjeai, Hammoud Rahmani, Lazhar 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 shadowing of a single cell in string leads to reverse bias of the shadowed cell. The cell acts as a load instead of a generator in order to deal with this effect and the hotspots problems, this paper focuses on the design of bypass diodes configuration and the behavior of a PV module (Suntech 85w) under partial shading divided from 36 cells into three parts of 12 cells and each part of these parts behaves like a single module, The effect of shadow has been simulated on this module, based on the transmission of shadow for a single shaded cell, before increasing the number of shaded cells for the same shadow transmittance, and the effect of the shaded on the unshaded module and those in the presence and absence of bypass diodes. The simulation results show that the consequences of the shading phenomena can be limited by this configuration and thus increase the operating efficiency of photovoltaic (PV) systems. 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/1057 10.54966/jreen.v1i1.1057 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/1057/983 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); 207 – 217 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 207 – 217 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Photovoltaic module shadow by-pass diode hotspot Title A name given to the resource A new algorithm described PV module’s behavior under partial shading conditions 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 Pinkie, Cherian Devika, Jayakumar Majidha, PA 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 A bibliometric analysis based on PubMed database were carried out to provide insights into research activities and tendencies, challenges of global biodiesel from 1997-2020.The document type and language,characteristics of publication output, keywords and most cited articles were emphasized. The biofuel production faces many challenges which include land availability, high cost, plant health and availability of labour. Data visualization using VOS viewer clearly stated that annual output of related scientific articles increased steadily. On analyzing the keywords, network visualization showed 100 lines with biofuel most related to biotechnology field.The most ideal keyword occurrence were visualized for bio-oil followed by co- digestion of biological matter are seen for density visualization. Six clustering of keywords were noted with links 20,6701 among keywords. The relevance score calculated using VOS viewer software generated 2.35 as score for Biodiesel engine and 2.25 for Organic loading rate. The analysis of review papers from pubMed clearly indicated that biofuels showed direct link to biotechnology field, plant oils and ethanol production. 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/1056 10.54966/jreen.v1i1.1056 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/1056/977 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); 199 – 205 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 199 – 205 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Bibliometric Biofuel PubMed Software Visualizer Title A name given to the resource Bibliometric Analysis and Challenges in Biofuel Production using Petroplants 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 Necaibia, Salah Necaibia, Ammar Bouraiou, Ahmed Kelaiaia, Mounia Samira Labar, Hocine Tourab, Wafa 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 Renewable energy, especially solar photovoltaic (PV) panels, have been widely integrated into energy systems, indeed, this technology is eco-friendly and available almost everywhere. However, these systems exhibit some challenges in regards their performance. They must always track the maximum power point (MPP) to provide the highest power. This work investigates a novel maximum power point tracking (MPPT) procedure. In the suggested tracking system, a novel controller is applied to establish different operating regions. In both regions, the step is changed depending on the closeness to the MPP. Due to this technique, some disadvantages of the incremental conductance (IncCond) approach are avoided. The proposed method offers reliable and stable behaviour under rapidly changing atmospheric conditions. Moreover, it is easy as it does not need additional sensors. The theoretical assessment discussed in this investigation is validated by simulations via MATLAB/Simulink and experimental outdoor tests. A comparison with conventional MPPT approach is provided to emphasize the performance of the developed MPPT technique. 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/1055 10.54966/jreen.v1i1.1055 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/1055/968 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); 189 – 197 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 189 – 197 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource IncCond MPPT SEPIC Converter Title A name given to the resource A new adaptive MPPT design for photovoltaic system under real outdoor conditions 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 Mohammedi, Abdallah Sahli, Youcef Moungar, Houcine Benhammou, Mohammed Ben Moussa, Hocine 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, a three-dimensional (CFD) model is employed to simulate and optimize the CCS (Channel Cross-Section) shape of the single straight channel PEMFC. Four CCS shapes, namely trapeze, inverted trapeze, half of ellipse and inverted half of ellipse, are investigated using ANSYS-FLUENT software and compared to the rectangular and triangular CCS shapes. The results obtained from the simulation are compared to the experimental results of the literature. A good agreement is observed between the numerical and experimental results. From the obtained results, it appears that the best delivered power density is reported by the trapeze CCS configuration, whereas, the worst delivered power density is obtained by the inverted half of ellipse CCS configuration. The highest pressure-drop and pumping power are obtained with the triangular CCS configuration and the smallest are resulted by the rectangular CCS configuration. Finally, the highest net power output is reported by the trapeze channel cross-section configuration, while, the lowest one is yielded by the inverted half of ellipse CCS configuration. 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/1054 10.54966/jreen.v1i1.1054 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/1054/967 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); 179 – 187 Journal of Renewable Energies; ICREATA 2021 (Special Issue); 179 – 187 2716-8247 1112-2242 10.54966/jreen.v1i1 Subject The topic of the resource Fuel cell PEMFC CFD CCS Presser drop Net power density Title A name given to the resource Investigation, Analysis and Optimization of PEMFC Channel Cross-Section Shape Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion conference proceedings