OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTS
The study aims to optimize wind farm efficiency in low wind speed regions using the HOMER Pro tool to examine the impact of wind turbine ratings on overall efficiency of wind farms. boosting wind farm efficiency is essential for improving economic viability and grid integration. We propose the esta...
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| Language: | English |
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Lublin University of Technology
2024-12-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
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| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/6369 |
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| author | Mustafa Hussein Ibrahim Muhammed A. Ibrahim Salam Ibrahim Khather |
| author_facet | Mustafa Hussein Ibrahim Muhammed A. Ibrahim Salam Ibrahim Khather |
| author_sort | Mustafa Hussein Ibrahim |
| collection | DOAJ |
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The study aims to optimize wind farm efficiency in low wind speed regions using the HOMER Pro tool to examine the impact of wind turbine ratings on overall efficiency of wind farms. boosting wind farm efficiency is essential for improving economic viability and grid integration. We propose the establishment of three wind farms, each possessing equal capacities but different in individual turbine capacities 1.5 kW, 3.4 kW and 5.1 kW, then optimize their performance in simulation environment. Through employing HOMER Pro optimization algorithm, we assess all wind farms over the period of one year, taking into account wind speed, temperature and geospatial coordinates. Although all wind farms have equal total capacities, simulation results revealed disparities in their generation abilities, reaching up to 22%, favouring the farm with smaller turbines. Furthermore, the results demonstrated that as wind speed decreases, the disparity in power generation between wind farms increases, reaching 51.9% in November, the month with the lowest wind speeds. These findings provide a comprehensive understanding of wind farm behaviour, particularly regarding turbine sizes, and contribute to the research community's efforts to enhance wind farm power production in low wind speed regions. They also help find solutions to enable the embrace of wind energy and decrease fossil fuel consumption in such regions, fulfilling their international sustainability commitments.
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| format | Article |
| id | doaj-art-eb524064999f4373a4a841c604a6be1a |
| institution | OA Journals |
| issn | 2083-0157 2391-6761 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| spelling | doaj-art-eb524064999f4373a4a841c604a6be1a2025-08-20T01:59:39ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612024-12-0114410.35784/iapgos.6369OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTSMustafa Hussein Ibrahim0https://orcid.org/0000-0002-9950-6524Muhammed A. Ibrahim1https://orcid.org/0000-0003-4818-1245Salam Ibrahim Khather2https://orcid.org/0000-0002-9082-2360University of Mosul, Department of New and Renewable EnergiesNinevah University, Department of System and Control EngineeringNinevah University, Department of System and Control Engineering The study aims to optimize wind farm efficiency in low wind speed regions using the HOMER Pro tool to examine the impact of wind turbine ratings on overall efficiency of wind farms. boosting wind farm efficiency is essential for improving economic viability and grid integration. We propose the establishment of three wind farms, each possessing equal capacities but different in individual turbine capacities 1.5 kW, 3.4 kW and 5.1 kW, then optimize their performance in simulation environment. Through employing HOMER Pro optimization algorithm, we assess all wind farms over the period of one year, taking into account wind speed, temperature and geospatial coordinates. Although all wind farms have equal total capacities, simulation results revealed disparities in their generation abilities, reaching up to 22%, favouring the farm with smaller turbines. Furthermore, the results demonstrated that as wind speed decreases, the disparity in power generation between wind farms increases, reaching 51.9% in November, the month with the lowest wind speeds. These findings provide a comprehensive understanding of wind farm behaviour, particularly regarding turbine sizes, and contribute to the research community's efforts to enhance wind farm power production in low wind speed regions. They also help find solutions to enable the embrace of wind energy and decrease fossil fuel consumption in such regions, fulfilling their international sustainability commitments. https://ph.pollub.pl/index.php/iapgos/article/view/6369wind turbine optimizationwind farmsHOMERlow wind speed regionswind turbine sizing |
| spellingShingle | Mustafa Hussein Ibrahim Muhammed A. Ibrahim Salam Ibrahim Khather OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTS Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska wind turbine optimization wind farms HOMER low wind speed regions wind turbine sizing |
| title | OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTS |
| title_full | OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTS |
| title_fullStr | OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTS |
| title_full_unstemmed | OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTS |
| title_short | OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTS |
| title_sort | optimizing wind power plants comparative enhancement in low wind speed environments |
| topic | wind turbine optimization wind farms HOMER low wind speed regions wind turbine sizing |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/6369 |
| work_keys_str_mv | AT mustafahusseinibrahim optimizingwindpowerplantscomparativeenhancementinlowwindspeedenvironments AT muhammedaibrahim optimizingwindpowerplantscomparativeenhancementinlowwindspeedenvironments AT salamibrahimkhather optimizingwindpowerplantscomparativeenhancementinlowwindspeedenvironments |