Performance analysis of the 23 MWp grid connected photovoltaic plant in Diass Senegal

Lach-Heb, Fatima; Ndiaye, Mamadou Lamine; Usbeck, Anna Kerstin; Aidara, Mohamed Cherif

doi:10.5897/ijps2021.4953

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Smart Grid and Renewable Energy Conversely, the months from June to September show relatively lower CF, which can be attributed to less favorable weather conditions. Solar panel technology, design choices, and site geography all play a crucial role in these variations, demonstrating the need for a holistic approach to understand and optimize solar energy production in each plant [26]. The Sakal plant, equipped with mobile panels, stands out with exceptionally high-capacity Factors, emphasizing the crucial importance of solar panel adaptability to track the movement of the sun.…”

Section: Capacity Factormentioning

confidence: 99%

“…Furthermore, results show that the performance of grid-connected photovoltaic systems depends on geographical location, PV module types, and weather conditions such as solar radiation and ambient temperature [25]. A performance analysis of the 23 MWc photovoltaic plant in Senegal showed that performance depends on on-site climatic conditions and technologies used [26].…”

Section: Introductionmentioning

confidence: 99%

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Seasonal Performance of Solar Power Plants in the Sahel Region: A Study in Senegal, West Africa

Niang,

Drame,

Sarr

et al. 2024

SGRE

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The main objective of this study is to evaluate the seasonal performance of 20 MW solar power plants in Senegal. The analysis revealed notable seasonal variations in the performance of all stations. The most significant yields are recorded in spring, autumn and winter, with values ranging from 5 to 7.51 kWh/kWp/day for the reference yield and 4.02 to 7.58 kWh/kWp/day for the final yield. These fluctuations are associated with intense solar activity during the dry season and clear skies, indicating peak production. Conversely, minimum values are recorded during the rainy season from June to September, with a final yield of 3.86 kWh/kW/day due to dust, clouds and high temperatures. The performance ratio analysis shows seasonal dynamics throughout the year with rates ranging from 77.40% to 95.79%, reinforcing reliability and optimal utilization of installed capacity. The results of the capacity factor vary significantly, with March, April, May, and sometimes October standing out as periods of optimal performance, with 16% for Kahone, 16% for Bokhol, 18% for Malicounda and 23% for Sakal. Total losses from solar power plants show similar seasonal trends standing out for high loss levels from June to July, reaching up to 3.35 kWh/kWp/day in June. However, using solar trackers at Sakal has increased production by up to 25%, demonstrating the operational stability of this innovative technology compared with the plants fixed panel. Finally, comparing these results with international studies confirms the outstanding efficiency of Senegalese solar power plants, other installations around the world.

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Section: Capacity Factormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Seasonal Performance of Solar Power Plants in the Sahel Region: A Study in Senegal, West Africa

Niang,

Drame,

Sarr

et al. 2024

SGRE

View full text Add to dashboard Cite

show abstract

“…The PV power plant's performance depends on PV module type, power converter, installation, system configuration, and climate. Therefore, evaluating the PV power plant's performance is essential, as many countries have recently investigated [10][11][12][13][14][15][16][17][18][19] .…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Comparison of a 93.6 kW Grid-Connected Rooftop Photovoltaic System in South Tangerang

Nurdiana,

Nurliyanti,

Dhea Amelia Rianjani

et al. 2023

Evergreen

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System performance analysis and comparison are necessities for ensuring the optimal operation of a photovoltaic (PV) power plant system. The primary metric that affects the PV system's productivity, dependability, profitability, ecological footprint, and grid compatibility are called Key Performance Indicators (KPIs). This study analyzes the KPIs of a 93.6 kW grid-connected rooftop PV system in South Tangerang and then compares them with the previous studies. Solar irradiation and output power data are collected. Then a modified extrapolation approach is used to fill in data gaps before proceeding with the performance parameter calculation. The performance indicator analysis refers to the IEC 61724-1 standard, including performance ratio (PR), final energy yield, system efficiency, system losses, and capacity factor. The results indicate that the PR, final energy yield, system efficiency, losses ratio, and average daily capacity factor varied from 82.0% to 91.6%, 2.94 to 3.70, 13.7% to 15.7%, 8.4% to 18.0%, and 12.12% to 15.67%, respectively. Compared to other studies, the PR values are much higher than expected. All of the other parameters, however, are normal. As a result, it shows that the PV system is working correctly.

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Analysis and simulation of six solar power plants seasonal production in Senegal, West Africa

Niang,

Drame,

Gueye

et al. 2023

Model. Earth Syst. Environ.

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Performance analysis of the 23 MWp grid connected photovoltaic plant in Diass Senegal

Cited by 4 publications

References 12 publications

Seasonal Performance of Solar Power Plants in the Sahel Region: A Study in Senegal, West Africa

Seasonal Performance of Solar Power Plants in the Sahel Region: A Study in Senegal, West Africa

Performance Analysis and Comparison of a 93.6 kW Grid-Connected Rooftop Photovoltaic System in South Tangerang

Analysis and simulation of six solar power plants seasonal production in Senegal, West Africa

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