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                <text>Ghalmi, Leila</text>
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                <text>Bensmaine, Souhila</text>
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                <text>Merzouk, Chems El Hayat</text>
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                <text>In this study, we analyzed Zinc Oxide (ZnO) thin films deposited on silicon substrates using magnetron sputtering. These films have numerous applications in photovoltaic and optoelectronic devices due to their excellent physique properties. We used two structural characterization techniques: X-ray diffraction and scanning electron microscopy. We found that the ZnO films had good crystallinity and a columnar structure on the substrate surface, as indicated by the (002) orientation. These findings could potentially be useful for the development of ZnO-based devices such as solar cells and piezoelectric sensors. our results are consistent with those found by other researchers.</text>
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                <text>https://revue.cder.dz/index.php/rer/article/view/1116</text>
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                <text>https://revue.cder.dz/index.php/rer/article/view/1116/1033</text>
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                <text>Copyright (c) 2023 Journal of Renewable Energies</text>
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                <text>Journal of Renewable Energies; Vol. 26 No. 1 (2023): Volume 26 (Regular); 41 – 56</text>
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                <text>Journal of Renewable Energies; Vol. 26 No 1 (2023): Volume 26 (Regular); 41 – 56</text>
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                <text>2716-8247</text>
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                <text>Zinc oxide ZnO</text>
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                <text>Thin films</text>
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                <text>Structural Characterization of ZnO Thin Films Deposited onto Silicon Substrates using Cathodic Magnetron Sputtering</text>
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                <text>Benharrats, Farah</text>
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                <text>Mahi, Habib</text>
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                <text>Estimation of solar irradiance received on the ground is essential in many solar energy applications, particularly those relying on concentrating solar technologies. In this work, we propose a model to estimate the spatial distribution of global Surface Solar Irradiance (SSI) from a Bird &amp;amp; Hulstrom radiometric model/MODIS atmospheric data combination. The theoretical model selected is the radiometric model of Bird &amp;amp; Hulstrom, and it has been modified to take into account the effect of the atmosphere by adding a transmittance function that obeys the Beer-Lambert law, implemented with atmospheric parameters (water vapor, ozone, aerosols, etc.) from the Moderate Resolution Imaging Spectroradiometer (MODIS) atmospheric products. The effectiveness of the proposed methodology is tested on the Algerian territory. The obtained results show that the proposed approach concurs with results provided by the tested Meteosat data-based method while providing SSI maps of better spatial resolution. Moreover, the obtained solar irradiances show a root mean square error of about 140 Wh.m-2 in comparison with the Copernicus Atmosphere Monitoring Service (CAMS) radiation extracted from the Solar Radiation Database for the environment (SoDa) server.</text>
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                <text>https://revue.cder.dz/index.php/rer/article/view/1115</text>
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                <text>Renewable Energy Development Center</text>
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                <text>https://revue.cder.dz/index.php/rer/article/view/1115/1032</text>
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                <text>Copyright (c) 2023 Journal of Renewable Energies</text>
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                <text>Journal of Renewable Energies; Vol. 26 No. 1 (2023): Volume 26 (Regular); 31 – 39</text>
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                <text>Journal of Renewable Energies; Vol. 26 No 1 (2023): Volume 26 (Regular); 31 – 39</text>
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                <text>2716-8247</text>
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                <text>Global Surface Solar irradiance</text>
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                <text>MODIS</text>
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                <text>Transmittance</text>
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                <text>Atmospheric Parameters</text>
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                <text>Algeria</text>
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              <elementText elementTextId="293640">
                <text>Clear Sky Global Surface Solar Irradiance Estimation from Bird &amp; Hulstrom Radiometric Model/MODIS Atmospheric Data Combination</text>
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                <text>Allali, Malika</text>
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                <text>Tigani, Cherif</text>
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                <text>Djaber, Abdelkrim</text>
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                <text>Mediani, Ahmed</text>
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                <text>The objective of the developed system is to encourage efficient water management practices that optimize the usage of water by keeping crop health and yield intact through the implementation of an automated irrigation system. The study aimed to determine the impact of irrigation by fish farming on growth rates and concentrations of macro- and micronutrients in tomatoes. Results indicated that irrigation with fish farm effluent significantly increased and effluent water, depending on its composition to feed the fish, can supply nutrients and increase the concentrations of these elements in tomatoes irrigated with this water with a refractive index = 1.3391 and a calorie value of 19.927 Calorie in the first sampling and 16.696 calories in the second sampling for 100 g for the year 2021 and for the year 2022 we have a refractive index = 1.3495 and a calorie value of 20.66 Calorie for 100 g. Here we show for the first time that is more than the standard norm (Cotte.2000) which is 18 Calories. Also, after carrying out microbiological analyzes, there is a total absence of pathogenic bacteria, as well as the organoleptic parameters are heading in the right direction where tomatoes irrigated by fish farming water is concentrated compared to the tomatoes irrigated by normal fresh water with Light red of 53 %, Cooked acid of 47 %, spherical form of 94 % and a pleasant smell of 88 %. Therefore, using fish farm effluent in irrigation provides water requirements for plants and also can improve the availability of nutrient elements for tomatoes.</text>
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                <text>https://revue.cder.dz/index.php/rer/article/view/1114</text>
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                <text>eng</text>
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                <text>Renewable Energy Development Center</text>
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                <text>Copyright (c) 2023 Journal of Renewable Energies</text>
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                <text>Journal of Renewable Energies; Vol. 26 No. 1 (2023): Volume 26 (Regular); 5 – 29</text>
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                <text>Journal of Renewable Energies; Vol. 26 No 1 (2023): Volume 26 (Regular); 5 – 29</text>
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                <text>2716-8247</text>
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                <text>Irrigation</text>
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                <text>Fish farm</text>
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                <text>Nutritional value</text>
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                <text>Caloric values</text>
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                <text>Microbiology analysis</text>
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                <text>Physicochemical and Organoleptic Analysis of Tomato Irrigated with fish farms water; at URERMS-ADRAR. Algeria</text>
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                <text>This work investigates measurements and simulations of a 2.25 kWp grid-connected amorphous photovoltaic power plant mounted on a parked car in a hot desert environment. This power station is located at applied research unit field (URAER), in the Ghardaia region, southern region. The simulation is carried out using PVSYS software. This includes evaluation of meteorological and electrical parameters performance of studied PV system such as reference PV system, PV array yield (YA), Final yield (YF), PV array and system losses, array and system efficiency, performance ratio (PR). The array nominal energy estimated at STC is 5695 kWh/year. The energy estimated injected into the grid is 4648 kWh/year.</text>
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                <text>Copyright (c) 2023 Journal of Renewable Energies</text>
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                <text>Journal of Renewable Energies; ICARES 2022 (Special Issue); 149 – 161</text>
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                <text>Journal of Renewable Energies; ICARES 2022 (Special Issue); 149 – 161</text>
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                <text>2716-8247</text>
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                <text>Performance</text>
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                <text>grid connected</text>
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                <text>hot desert environment</text>
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                <text>Measurement and Simulation of 2.25 kWp grid-connected amorphous photovoltaic station in a hot desert environment</text>
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                  <text>Journal of Renewable Energies</text>
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                <text>Robei, Sarra</text>
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                <text>Settou, Noureddine</text>
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                <text>The reduction of energy consumption is an important key not only to improving the performance of the Algerian economy but also to contributing to the effective mitigation of greenhouse gas emissions. This study provides a decomposition analysis of a set of sub-sectors belonging to the non-energy industry in terms of energy use. The Logarithmic Mean Divisia Index (LMDI) is used to identify the factors affecting the change in energy consumption between 2002 and 2015. It is estimated that the energy consumption of Algeria's non-energy industries has increased from 4904 ktoe in 2002 to 8818 ktoe in 2015. The findings reveal that the increase in energy consumption in Algeria’s non-energy industry was due to the activity effect, whereas the structure and intensity effects contributed to the decrease. The increase in energy consumption due to the activity effect is largest in the construction materials industry. The intensity effect has a significant impact on energy consumption in the iron and steel, mechanical, electronic, and electrical equipment industries. Furthermore, the construction materials industry had a large share of the total change in energy consumption for the entire non-energy industry during 2002–2015, accounting for 136%.</text>
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                <text>https://revue.cder.dz/index.php/rer/article/view/1106</text>
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                <text>Renewable Energy Development Center</text>
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                <text>https://revue.cder.dz/index.php/rer/article/view/1106/1014</text>
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              <elementText elementTextId="293545">
                <text>Copyright (c) 2023 Journal of Renewable Energies</text>
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              <elementText elementTextId="293546">
                <text>https://creativecommons.org/licenses/by-sa/4.0</text>
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                <text>Journal of Renewable Energies; ICARES 2022 (Special Issue); 139 – 148</text>
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                <text>Journal of Renewable Energies; ICARES 2022 (Special Issue); 139 – 148</text>
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                <text>2716-8247</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="293552">
                <text>Non-energy industry</text>
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              <elementText elementTextId="293553">
                <text>energy consumption</text>
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                <text>decomposition analysis</text>
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                <text>Logarithmic Mean Divisia Index</text>
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                <text>Algeria</text>
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            <name>Title</name>
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              <elementText elementTextId="293557">
                <text>LMDI decomposition analysis of change in energy consumption in the non-energy industrial sector: The Algerian case</text>
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              <elementText elementTextId="293507">
                <text>Meziane, Abdelghani</text>
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                <text>Meziane, Fares</text>
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                <text>Zouaoui, Salah</text>
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            <description>An account of the resource</description>
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                <text>The present work aims to develop a dynamic Wind Turbine-Fuel Cell (WT-FC) hybrid power system under Simulink to meet the energy needs of dwellings in the south of Algeria. The Enercon E40 wind turbine model with a rated power of 500 kW was selected. Simulations were performed for four sites, namely Tinfouye, Belkbir, Tabelbala and Tindouf using daily wind data ranging between 2004 and 2018. The results indicated that Tindouf has a high mean speed of 5.57 m/s at 10 m, resulting in a power density of 194 W/m2. However, a low average speed of 4.81 m/s is recorded at the site of Tabelbala. The maximum energy production is recorded at Belkbir reaching 4183.96 MWh/year with 0.9141 C$/kWh. Therefore, a high-power density of 239 W/m² was noted in Tabelbala. In the environmental analysis, Belkbir was found to have the highest avoided carbon dioxide (CO2) emission rate of 1829.64 tons CO2/kWh.</text>
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              <elementText elementTextId="293513">
                <text>https://revue.cder.dz/index.php/rer/article/view/1105</text>
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                <text>10.54966/jreen.v1i1.1105</text>
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                <text>eng</text>
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                <text>Renewable Energy Development Center</text>
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                <text>https://revue.cder.dz/index.php/rer/article/view/1105/1013</text>
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              <elementText elementTextId="293518">
                <text>Copyright (c) 2023 Journal of Renewable Energies</text>
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                <text>Journal of Renewable Energies; ICARES 2022 (Special Issue); 125 – 138</text>
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                <text>Journal of Renewable Energies; ICARES 2022 (Special Issue); 125 – 138</text>
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                <text>2716-8247</text>
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            <description>The topic of the resource</description>
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                <text>Wind energy</text>
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              <elementText elementTextId="293526">
                <text>hydrogen</text>
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                <text>electrolyzer</text>
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                <text>isolated</text>
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                <text>Wind Turbine-Fuel Cell Power System for Supplying Isolated Sites</text>
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                <text>The comparison of the results obtained from argon ions and those obtained from neon ions in various photovoltaic materials in this work led to the identification of factors influencing the ionic sputtering deposition method as well as the effect of the used ion beam type. The SRIM simulation software was used in the study. According to the results, the sputtering yield increases proportionally with the angle and energy of incidence up to a certain point, then decreases. Furthermore, the value disparity confirmed the close relationship between the spraying process and the material structure. The same findings were made when the electronic and nuclear stopping powers were calculated. Solar cells were then simulated using the materials under consideration.</text>
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                <text>Journal of Renewable Energies; ICARES 2022 (Special Issue); 83 – 92</text>
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