Promotion of renewable energy in some MENA region countries

Abdeladim, K.; Bouchakour, Salim; Arab, A. Hadj; Amrouche, S. Ould; Yassaa, Noureddine

doi:10.1088/1755-1315/154/1/012003

Cited by 8 publications

(4 citation statements)

References 1 publication

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“…The production capacity (1500 kWh) only reaches about half of the demand (3000 kWh) and increases the importance of using renewable energy [16]. Lebanon has an average daily solar radiation of about 4.8 kWh/m 2 , which is considered a good potential for radiation and has a lower environmental impact [31,32].…”

Section: Yesmentioning

confidence: 99%

Investigating the Cost-Effectiveness of Solar Electricity Compared to Grid Electricity in the Capitals of Middle Eastern Countries: A Residential Scale Case Study

Shahgholian

Taheri

Jahangiri

2023

International Journal of Photoenergy

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Despite of being rich in fossil fuels, the Middle East is currently the main energy consumer and is projected to have the highest growth in energy demand in the world. Due to its great potential in the Middle East, solar energy can play an important role in the plans of energy decision-makers in the region. According to the studies done so far, no study has been done to show the potential benefit of using home-scale solar systems in the Middle East. Therefore, in this work for the first time, the potential of solar electricity production in the capitals of Middle Eastern countries has been studied using HOMER V2.81 software. The investigations are technical, economic, energy, and environmental, and the studied solar system is connected to the national electricity grid. The results showed that in Nicosia, due to the sale of electricity to the grid, the levelized cost of electricity (LCOE) is equal to -0.759 $, which is the lowest price for produced electricity and leads to a return on investment time of 5.69 years for this system. The solar fraction for the Nicosia station is 92%, which prevents the emission of more than 8 tons of CO2 pollutants during the year. The highest value of LCOE with the amount of $0.25 is related to Sana’a, whose investment return time, solar fraction, and annual CO2 emission prevention amount are 14.1 years, 53%, and 1162 kg, respectively. Ranking analysis was done on the results of 5 outputs of the HOMER software as well as 3 other influential parameters using 4 multicriteria decision-making (MCDM) methods. TOPSIS, GRA, WSM, and AHP methods were used, and the final ranking of each station was considered the average of the 4 methods. According to the results, Cyprus and Kuwait stations were the best and worst, respectively.

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Section: Yesmentioning

confidence: 99%

Investigating the Cost-Effectiveness of Solar Electricity Compared to Grid Electricity in the Capitals of Middle Eastern Countries: A Residential Scale Case Study

Shahgholian

Taheri

Jahangiri

2023

International Journal of Photoenergy

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“…Due to its considerable sun exposure, which covers 90% of the nation , it has committed to obtaining the bulk of its renewable energy supply from solar photovoltaics (PV) [10]. According to [11], the expected amount of sunshine is 3000 hours per year, and the daily energy can reach up to 5 kWh/ .…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Grid-Connected Photovoltaic Systems in Dhaya Algeria

Bouroumeid,

Jbilou,

BECHEKIR

et al. 2024

Preprint

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The escalating demand for electricity driven by population growth has strained Algeria's power stations to boost their output. With the significant decline in solar photovoltaic (SPV) electricity prices and the escalating tariffs on conventional electricity, there has been a growing interest in solar photovoltaic plants for electricity generation. Consequently, accurately evaluating the annual and monthly yield of SPV plants becomes crucial for designing and installing new facilities. This paper presents an assessment of a 12 MW grid-connected photovoltaic power plant situated in the Dhaya region of Sidi Bel Abbes, Algeria. Real-time observational data was collected from January 1st, 2023, to December 2023. Evaluated parameters include energy output, final yield, performance ratio (PR), among others. The power plant supplied 20780.67 MWh to the grid in 2023. The final yield (Yf) ranged from 3.25 to 5.88 kWh/kWp, the performance ratio (PR) varied from 79% to 89.71%, and the annual capacity factor was determined to be 19.44%. These parameters are compared with those obtained from simulations using PVsyst software and solar GIS-PV planner.

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“…To achieve this goal, Algeria has implemented various policies and incentives to promote the development of renewable energy projects, including solar energy. In 2020, the Algerian government launched a tender for the construction of 1.000 MW of solar energy capacity, attracting international companies to invest in the country's solar energy sector [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Solar Radiation Prediction in Adrar, Algeria: A Case Study of Hybrid Extreme Machine-Based Techniques

Benatallah,

Bailek,

Bouchouicha

et al. 2024

JERA

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This study delves into the application of hybrid extreme machine-based techniques for solar radiation prediction in Adrar, Algeria. The models under evaluation include the Extreme Learning Machine (ELM), Weighted Extreme Learning Machine (WELM), and Self-Adaptive Extreme Learning Machine (SA-ELM), with a comparative analysis based on various performance metrics. The results show that SA-ELM achieves the highest accuracy with an R2 of 0.97, outperforming ELM and WELM by 4.6% and 15.4% respectively in terms of R2. SA-ELM also has the lowest MPE, RMSE and RRMSE values, indicating a higher accuracy in predicting global radiation. Furthermore, comparison with previously employed prediction techniques solidifies SA-ELM’s superiority, evident in its 0.275 RMSE.The study explores different input combinations for predicting global radiation in the study region, concluding that incorporating all relevant inputs yields optimal performance, although reduced input scenarios can still provide practical accuracy when data availability is limited. These results highlight the effectiveness of the SA-ELM model in accurately predicting global radiation, which is expected to have significant implications for renewable energy applications in the region. However, further testing and evaluation of the models in different regions and under different weather conditions is recommended to improve the generalizability and robustness of the results.

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Promotion of renewable energy in some MENA region countries

Cited by 8 publications

References 1 publication

Investigating the Cost-Effectiveness of Solar Electricity Compared to Grid Electricity in the Capitals of Middle Eastern Countries: A Residential Scale Case Study

Investigating the Cost-Effectiveness of Solar Electricity Compared to Grid Electricity in the Capitals of Middle Eastern Countries: A Residential Scale Case Study

Performance Analysis of Grid-Connected Photovoltaic Systems in Dhaya Algeria

Solar Radiation Prediction in Adrar, Algeria: A Case Study of Hybrid Extreme Machine-Based Techniques

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