Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, Iraq
Accurate spatial decision-making models are increasingly needed for wind energy planning as the globe rushes towards carbon-neutral energy. This research aims to improve existing decision-making approaches by proposing an ensemble weight-based model for mapping the spatial suitability of onshore win...
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2024-12-01
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| Series: | Civil and Environmental Engineering |
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| Online Access: | https://doi.org/10.2478/cee-2024-0064 |
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| author | Sachit Mourtadha Sarhan |
| author_facet | Sachit Mourtadha Sarhan |
| author_sort | Sachit Mourtadha Sarhan |
| collection | DOAJ |
| description | Accurate spatial decision-making models are increasingly needed for wind energy planning as the globe rushes towards carbon-neutral energy. This research aims to improve existing decision-making approaches by proposing an ensemble weight-based model for mapping the spatial suitability of onshore wind systems. The model addressed three weighting scenarios: subjective weighting derived from the Analytical Hierarchy Process (AHP), objective weighting derived from the Entropy Weighting Method (EWM), and Artificial Intelligence (AI) weighting based on real-world experiences. The weight sources were harnessed in weighted and fuzzy overlays in a GIS context to create multiple suitability indices. The model was applied to the Wasit governorate in Iraq, considering 10 evaluation criteria and 6 restrictions. The results highlight the dominance of techno-economic considerations, with wind speed being an important factor in all weighting scenarios. Suitability indices suggest that the western, central, and southern areas of Wasit are most suitable for wind farms, with ideal sites identified south of Al-Hay, south of Sheikh Saad, and west of Al-Kut, covering an area of 756 km2 and potentially providing more than 3.5 GW of clean electricity. The findings could encourage wind energy investment in developing countries like Iraq. |
| format | Article |
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| institution | Kabale University |
| issn | 2199-6512 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
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| series | Civil and Environmental Engineering |
| spelling | doaj-art-c9f594892a394615895bd172527469552025-02-02T15:47:53ZengSciendoCivil and Environmental Engineering2199-65122024-12-0120287188910.2478/cee-2024-0064Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, IraqSachit Mourtadha Sarhan0Department of Surveying and Geomatics Engineering, College of Engineering, University of Thi-Qar, Nasiriyah64001, Thi-Qar, IraqAccurate spatial decision-making models are increasingly needed for wind energy planning as the globe rushes towards carbon-neutral energy. This research aims to improve existing decision-making approaches by proposing an ensemble weight-based model for mapping the spatial suitability of onshore wind systems. The model addressed three weighting scenarios: subjective weighting derived from the Analytical Hierarchy Process (AHP), objective weighting derived from the Entropy Weighting Method (EWM), and Artificial Intelligence (AI) weighting based on real-world experiences. The weight sources were harnessed in weighted and fuzzy overlays in a GIS context to create multiple suitability indices. The model was applied to the Wasit governorate in Iraq, considering 10 evaluation criteria and 6 restrictions. The results highlight the dominance of techno-economic considerations, with wind speed being an important factor in all weighting scenarios. Suitability indices suggest that the western, central, and southern areas of Wasit are most suitable for wind farms, with ideal sites identified south of Al-Hay, south of Sheikh Saad, and west of Al-Kut, covering an area of 756 km2 and potentially providing more than 3.5 GW of clean electricity. The findings could encourage wind energy investment in developing countries like Iraq.https://doi.org/10.2478/cee-2024-0064wind energysite selectiongisaiiraq. |
| spellingShingle | Sachit Mourtadha Sarhan Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, Iraq Civil and Environmental Engineering wind energy site selection gis ai iraq. |
| title | Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, Iraq |
| title_full | Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, Iraq |
| title_fullStr | Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, Iraq |
| title_full_unstemmed | Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, Iraq |
| title_short | Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, Iraq |
| title_sort | ensemble weights based geospatial model for optimal allocation of wind turbines a case study in wasit iraq |
| topic | wind energy site selection gis ai iraq. |
| url | https://doi.org/10.2478/cee-2024-0064 |
| work_keys_str_mv | AT sachitmourtadhasarhan ensembleweightsbasedgeospatialmodelforoptimalallocationofwindturbinesacasestudyinwasitiraq |