Publisher: Renewable Energy Development Center, Algeria (Total: 1 journals)   [Sort by number of followers]

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J. of Renewable Energies / Revue des Energies Renouvelables     Open Access   (Followers: 1)
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Journal of Renewable Energies / Revue des Energies Renouvelables
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1112-2242 - ISSN (Online) 2716-8247
Published by Renewable Energy Development Center, Algeria Homepage  [1 journal]
  • New designs of turbulence promoters to use in saltwater purification

    • Authors: Mounir Amokrane, Djamel Sadaoui
      Pages: 1 – - 1 –
      Abstract: This paper describes a two-dimensional computational fluid dynamics (CFD) model of flow with mass transfer to simulate a membrane separation system. The fluid domain comprises two reverse osmosis (RO) membranes and is fitted with different wavy inserts that act as turbulence promoters. Four types of insert designs were evaluated in terms of salt deposition on the membranes, permeate flux, axial pressure drop in the channel, and plots of the Sherwood number against the Power number. According to numerical simulations, under the operating conditions of this investigation, the proposed designs generate better results than commercial designs. The gain in pure water flux achieves up to 2%, and salt deposition on the membrane surface is reduced by ~5% than the commercial Zigzag spacer arrangement.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1033
  • Modeling and Control Strategy for a Wind Turbine by an AG-SMC without Wind
           Speed Sensor

    • Authors: Meddah Atallah, Abdelkader Mezouar, Kheira Belgacem, Youcef Saidi, Mohammed Amine Benmahdjoub
      Pages: 9 – - 9 –
      Abstract: This work presents a control strategy for Wind Turbine (WT) power by using an algorithm of Indirect Maximum Power Control (IMPC). This algorithm is based on Tip Speed Ratio (TSR) approach, which is applied to control wind turbines. Indeed, the WT used in this study has a single mass brought back to the generator shaft. The main contribution of this study is to maximize the aerodynamic power delivered by the WT system. In fact, this maximization is carried out during partial load operation, without consideration of the disturbances caused by variations in the wind profile. In this context, the control strategy of the WT is performed by estimating the Wind Speed (WS) instead of using an anemometer. This estimation is handled by using an Adaptive Gain Sliding Mode Control (AG-SMC). For this control, the surface is chosen as an improved solution that carried out the adaptation for the sliding gain and the generator torque estimation. The results obtained in Matlab / Simulink software showed that the aerodynamic power maximum is achieved and the control algorithm IMPC is given a high efficiency in the WS estimation.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1034
  • Coordinated Control of Wind turbine and Energy storage system for
           Microgrid Stability

    • Authors: Nasreddine Attou, Sidahmed Zidi, Samir Hadjeri, Mohamed Khatir
      Pages: 21 – - 21 –
      Abstract: In recent decades, the development of renewable energy has accelerated significantly due to several factors such as changing energy needs, the problem of global warming, and the depletion of fossil fuels. Wind energy is one of the renewable generation sources that can be used to achieve the EU's 2030 targets at a lower cost. However, its intermittent and stochastic nature could significantly impact the reliability and stability of the electricity system. Therefore, there is a clear necessity to mitigate power fluctuations to make the most of wind energy. To fill this gap, this paper presents a centralized control strategy based on a droop controller and a storage-integrated controller for a grid-connected variable speed wind power system (permanent magnet synchronous generator) (PMSG) to manage and stabilize the power output during intermittency periods. The main objective is to provide a stable U/f when a fluctuation event occurs. A grid failure scenario was tested to see how the control system behaves in the event of an unexpected fluctuation and its role in the stability of the power system under varying wind speed and load conditions. The effectiveness of the proposed control method was tested using MATLAB/Simulink on a small power system. The simulation results demonstrate the control system’s performance in the stability of the U/f during grid interruption.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1035
  • Parameters optimization of heterojunction ZnSe/CdS/CIGS/Si solar cells
           using SCAPS-1D software

    • Authors: Moussaab Belarbi, Oussama Zeggai, Souad Louhibi-Fasla
      Pages: 31 – - 31 –
      Abstract: It is required to simulate the performance of a photovoltaic solar cell performance to enhance it. Simulation optimization has the benefit of being inexpensive and straightforward, and it allows us to identify the optimum parameters that contribute to the enhancement of the cell. An alternative ZnSe/CdS/CIGS/Si structure has been presented using a solar cell capacitance simulator (SCAPS-1D). This paper aims to increase device efficiency by improving the physical characteristics of the many layers involved in cell realisation. We also tried to investigate the variation of electrical characteristics such as Voc, Jsc, , and FF with the changes in material parameters, notably the absorber layer thickness (CIGS, p-Si) (CIGS, p-Si). On the other hand, the temperature dependency has been simulated to guide device manufacturers to attain higher efficiency in varied temperature circumstances. The calculation result shows that excellent performance can be reached by varying the parameters, and the highest efficiency (24,94 %) of the solar cell can be reached under certain conditions, where the thicknesses of ZnSe, CdS, CIGS, and Si are 0.2m, 0.09m, 1.4m, and 0.6m respectively and for the optimal value of temperature equal to 295K.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1036
  • A Comparative Technical-Economic Study of two Water Pumping Systems for an
           Isolated Community in Algeria

    • Authors: Fatima Belgacem, Mohamed Mostefai, Yahia Miloud, Aicha Belgacem
      Pages: 37 – - 37 –
      Abstract: The goal of this work is to size a photovoltaic pumping system built on a brushless DC motor and without accumulators, then to evaluate its cost by comparing the latter with a pumping system powered by a diesel generator for a system of irrigation in an isolated site in the city of Saïda in Algeria, based on a technique known as the cost of the life cycle. The water pumping system is designed to irrigate an area of 8 hectares, planted with onions. Based on the results of this study, the photovoltaic pumping system is more economically viable compared to the system running on diesel.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1037
  • Performance Analysis of the Multi-Level Boost Converter (MLBC) connected
           in a Photovoltaic System

    • Authors: Nacer Bouderres, Abdelhak Djellad, Djallel Kerdoun, Azzeddine Dekhane, Issam Attoui, Sofiane Chiheb
      Pages: 49 – - 49 –
      Abstract: The paper concentrates on a comparison between two DC/DC converters topologies, the conventional Boost and the Multi Level Boost Converter (MLBC), for connecting into PV systems. Several performance criteria are included as part of this comparison process for both converters under varying climatic conditions (irradiation and/or temperature). The DC/DC converters' function is to serve as an interface between PV generator and load. We apply MPPT (Maximum Power Point Tracking) control with duty cycle adjustment using PWM technique for extracting the highest achievable output power from PV generator. The multilevel boost converter (MLBC), which is capable of monitoring and maintaining an equal voltage on all N output levels, along with controlling the input current. MATLAB/Simulink simulation results highlight the performance of the Multi-Level Boost Converter (MLBC) converter topology, to match the GPV voltage to the load.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1038
  • Conversion of fruit kernels of Algerian date palm (Phoenix dactylifera L.)
           into biodiesel

    • Authors: Ahmed Boulal, Elkhadem Benmehdi, Rekia Mebarki, Kamel Hadri, Abdelaziz Aroussi
      Pages: 59 – - 59 –
      Abstract: Today, renewable energies have become one of the most important concerns of the countries of the world as a result of the negative effects we have reached on the environment from our use of fossil fuels and the resulting emissions of toxic gases. It is no secret that the fields of renewable energies are very diverse, including those derived from biomass. Researchers in this field seek to diversify bioenergy sources from ethanol, biodiesel, and fuels. Biogas. Accordingly, we conducted this study using date kernel oil as a new source for biofuel extraction, and the results were as follows: oil content of 4 to 5 percent, with a very high acid number of 8.9776, which imposes on us make a reaction of esterification and transesterification. Biodiesel has a 91 percent yield and its properties are close to recognized standards compared to previous studies.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1039
  • Cubist Regression, Random Forest and Support Vector Regression for Solar
           Power Prediction

    • Authors: Souhaila Chahboun, Mohamed Maaroufi
      Pages: 65 – - 65 –
      Abstract: At a time when the energy transition is inescapable and artificial intelligence is rapidly advancing in all directions, solar renewable energy output forecasting is becoming a popular concept, especially with the availability of large data sets and the critical requirement to forecast these energies, known to have a random nature. Therefore, the main goal of this study is to investigate and exploit artificial intelligence's revolutionary potential for the prediction of the electricity generated by solar photovoltaic panels. The main algorithms that will be studied in this article are cubist regression, random forest and support vector regression. This forecast is beneficial to both providers and consumers, since it will enable for more efficient use of solar renewable energy supplies, which intermittency makes their integration into the existing electrical networks a challenging task.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1040
  • MPPT Fuzzy Logic Control of a Variable Speed Wind Turbine

    • Authors: Abdeldjalil Dahbi, Miloud Benmedjahed, Abderrahman Khelfaoui, Sara Kadi, Boualam Benlahbib, Houcine Guentri, Nouar Aoun, Abdelghani Harrag, Messaoud Hamouda, Ahmed Bouraiou, Abdeldjalil Slimani, Ammar Neçaibia, Djilali Chogueur, Boudjema Tidjar, Abdellatif Oudran, Kada Bouchouicha, Samir Mouhadjer, Tahar Touahri, Ahmed Yassine Kadri
      Pages: 73 – - 73 –
      Abstract: This work is focused on the control of a wind turbine system based on (PMSG). In order to enhance the efficiency of the wind turbine system, the maximum power point tracking (MPPT) control is applied to exploit the maximum power from the wind. The Fuzzy Logic controller (FLC) has been proposed and developed for the speed control. The simulation results show good performances of this control.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1041
  • A high degree of direct torque control applied to a grid-connected wind
           energy system based on a DFIG

    • Authors: Oualid Djoudi, Sofia Lalouni Belaid, Salah Tamalouzt
      Pages: 81 – - 81 –
      Abstract: 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).
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1042
  • 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

    • Authors: Zakia Gueboudji, Kenza Kadi, Kamel Nagaz
      Pages: 93 – - 93 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1044
  • Fuzzy logic concept based MPPT technique for standalone PV system

    • Authors: Aboubakeur Hadjaissa, Otmane Gahgouhi, Khaled Ameur, Abdelhamid Rabehi
      Pages: 101 – - 101 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1045
  • Ethanol Production by Balanites aegyptiaca Fruits Valorization in the
           Adrar Region of Algeria

    • Authors: Kamel Hadri, Ahmed Boulal, Nawel Cheikh
      Pages: 109 – - 109 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1047
  • Future Sustainable Water and Energy Policy for Algeria

    • Authors: Ait Mimoune Hamiche, Amine Boudghene Stambouli, Samir Flazi, Hideomil Koinuma
      Pages: 117 – - 117 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1048
  • Optimal Energy Management of Hybrid MicroGrid Using Storage System and
           Fuzzy-GA Method

    • Authors: Nour EL Yakine Kouba, Slimane Sadoudi
      Pages: 129 – - 129 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1049
  • Extraction of electrical parameters for one diode photovoltaic model using
           quasi-oppositional Rao-1 optimization algorithm

    • Authors: Badis Lekouaghet, Sid-Ahmed Touil, Chabane Boubakir
      Pages: 143 – - 143 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1050
  • Assessment Microbiological and Physicochemical Quality of Figs Dried in
           Adrar Region, Algeria

    • Authors: Akil Loumani, Ahmed Amine Larbi, Ahmed Mediani, wafa Braham Chaouch, Meriama Foullanine, Cherif Tigani, Abdelkrim Djaber, Zahra Belkacem
      Pages: 151 – - 151 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1051
  • Study of the effect of ADL anodic diffusion layer on the performance of a
           direct methanol fuel cell (DMFC)

    • Authors: Mihoub Medkour, Mohamed Roudane, Mourad Mderes
      Pages: 159 – - 159 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1052
  • Aerodynamic study of a Savonius type vertical axis wind turbine for
           different axial positions between the blades

    • Authors: Habib Merouane, Mohammed Senouci, Ismail Drai, Rachid Sahnoun
      Pages: 171 – - 171 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1053
  • Investigation, Analysis and Optimization of PEMFC Channel Cross-Section

    • Authors: Abdallah Mohammedi, Youcef Sahli, Houcine Moungar, Mohammed Benhammou, Hocine Ben Moussa
      Pages: 179 – - 179 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1054
  • A new adaptive MPPT design for photovoltaic system under real outdoor

    • Authors: Salah Necaibia, Ammar Necaibia, Ahmed Bouraiou, Mounia Samira Kelaiaia, Hocine Labar, Wafa Tourab
      Pages: 189 – - 189 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1055
  • Bibliometric Analysis and Challenges in Biofuel Production using

    • Authors: Cherian Pinkie, Jayakumar Devika, PA Majidha
      Pages: 199 – - 199 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1056
  • A new algorithm described PV module’s behavior under partial shading

    • Authors: Houssem Saber, Abdelouadoud Bendaoud, Hammoud Radjeai, Lazhar Rahmani
      Pages: 207 – - 207 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1057
  • Numerical study to predict optimal configuration of wavy fin and tube heat
           exchanger with various tube shapes

    • Authors: Farouk Tahrour, Fares Djeffal, Lyes Bordja, Abdelmoumene Hakim Benmachiche
      Pages: 219 – - 219 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1058
  • Investigation of monocrystalline silicon surface texturization by image
           processing program

    • Authors: Abdellah Trad khodja, Abdelkader Elamrani, Faouzi Kezzoula, Chahinez Nasraoui, Seif-Eddine Friha
      Pages: 229 – - 229 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1059
  • Numerical analysis termal fluid in a heat exchanger with baffles

    • Authors: Ahmed Youcef, Rachid Saim, Mohammed Chokri Kourti, Mohammed Benhamou
      Pages: 237 – - 237 –
      Abstract: 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%.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1060
  • Chaos Game Optimization Algorithm for Parameters Identification of
           Different Models of Photovoltaic Solar Cell and Module

    • Authors: Mohamed Zellagui, Samir Settoul, Claude Ziad El-Bayeh, Nasreddine Belbachir
      Pages: 245 – - 245 –
      Abstract: 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.
      PubDate: 2022-06-21
      DOI: 10.54966/jreen.v1i1.1061
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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