GIS-based multi-criteria analysis of offshore wind farm development in Morocco

Taoufik, Meryem; Fekri, Ahmed

doi:10.1016/j.ecmx.2021.100103

Cited by 32 publications

(24 citation statements)

References 40 publications

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“…The implicitly geospatial nature of non-physical siting factors [ 99 ] means that their continuous variation in space requires being placed onto a gridded dataset (see Mann et al‘s [ 212 ] approach to census demographics, or Brewer et al‘s [ 223 ] to social attitude surveys), or being proxied with a physical siting factor, such as inferring noise pollution or visual impact based on distance from infrastructure [ 130 , 145 , 152 , 157 , 181 , 210 ]. Either of these approaches allow non-physical siting factors to be treated alongside the datasets that commonly represent physical siting factors in GIS-based WiFSS models, such as line shapefiles of powerlines for transmission line proximity [ 74 , 80 , 136 , 144 , 164 , 179 ] or rasters of wind speed for assessing the resource itself [ 78 , 79 , 90 , 126 , 130 , 201 ]. The common function of the datasets for each siting factor is to inform a GIS-based model's assessment of wind farm potential across a continuous spatial domain.…”

Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

“…These constraints are typically either a buffer distance around land features (e.g., no wind farms within 500 m of a river [ 142 ]), or prohibition within an area of conflicting land use (e.g., no wind farms in a designated vulnerable bird habitat [ 83 ]). Evaluation criteria assess WiFSS outside the constrained zones, either as an ordinal [ 102 , 134 , 159 ] or a quantitative [ 179 , 184 , 208 ] value. The two commonest types of evaluation criteria are those that assess suitability with distance from physical features (e.g., WiFSS being greater closer to roads [ 75 ]), and those based on magnitude at a singular point in space (e.g., WiFSS being greater in high-altitude locations up to 2000 m [ 46 ]).…”

Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

See 1 more Smart Citation

Standardizing the factors used in wind farm site suitability models: A review

Wimhurst

Nsude

Greene

2023

Heliyon

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Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

Standardizing the factors used in wind farm site suitability models: A review

Wimhurst

Nsude

Greene

2023

Heliyon

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“…Teknik overlay menghasilkan gabungan feature yang memiliki informasi atribut dari beberapa peta tersebut (Taoufik & Fekri, 2021). Analisis ini digunakan untuk melihat perubahan pemanfaatan ruang kondisi di wilayah studi menggunakan peta citra tahun 2011 sebagai layer 1, peta citra tahun 2015 sebagai layer 2 dan peta citra tahun 2020 sebagai layer 3.…”

Section: Metode Penelitianunclassified

Analisis Pemanfaatan Ruang Terhadap Perubahan Garis Pantai di Pulau Derawan Kabupaten Berau

Yusliana

2022

gdk

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Abstrak berbagai potensi yang dimiliki wilayah pesisir menyebabkan pemanfaatan ruang terus mengalami peningkatan. Meski memiliki nilai ekonomi tinggi, namun masifnya pemanfaatan ruang tersebut menjadi ancaman wilayah pesisir, termasuk di Pulau Derawan. Oleh sebab itu, penelitian ini bertujuan untuk mengetahui perubahan pemanfaatan ruang dan perubahan garis pantai di Pulau Derawan. Teknik pengumpulan data utama dalam penelitian ini menggunakan teknik studi dokumen, baik data dokumen dari instansi pemerintah maupun dokumen spasial seperti citra google earth dan peta penggunaan lahan. Analisis data dalam penelitian ini menggunakan pendekatan Sistem Informasi Geografi dengan teknik overlay. Hasil penelitian menunjukkan bahwa pada periode tahun 2011-2020 telah terjadi peningkatan pemanfaatan ruang sangat signifikan untuk kawasan permukiman dari 9,41 ha bertambah menjadi 17,86 ha. Terdapat pula area yang mengalami penysutan area seperti RTH akibat alihfungsi lahan, bahkan beberapa area hilang seperti dermaga umum dan landasan helikopter (helipad) akibat adanya abrasi pantai. Sedangkan garis pantai selama kurun waktu 10 tahun tersebut mengalami pengurangan panjang lingkar garis pantai sepanjang 93 meter atau 9,3 meter pertahun. Kata kunci: pemanfaatan ruang; perubahan garis pantai; pesisir, Pulau DerawanAbstract the various of potentials coastal areas cause the space utilization continue to increase. Even though it has a high economic value, the massive use of this space poses a threat to coastal areas, including on Derawan Island. Therefore, this study aims to determine changes in spatial use to changes in coastline on Derawan Island. The main data collection technique in this study uses document study techniques, both document data from government agencies and spatial documents such as google earth images and land use maps. Data analysis in this study used a Geographic Information System approach with an overlay technique. The results show that in the period 2011-2020 there has been a very significant increase in space utilization for residential areas from 9.41 ha to 17.86 ha. There are also areas that experience shrinkage of areas such as green open space due to land conversion, even some areas are lost such as public docks and helicopter pads (helipad) due to coastal abrasion. Meanwhile, the coastline during the 10-year period experienced a reduction in the length of the coastline by 93 meters or 9.3 meters per year.

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“…Between Al Jadida and Agadir, there are already five onshore farms that are currently operational (Safi, Oualidia I, Oualidia II, Jbel Lahdid, and Amogdoul) totaling approximately 500 MW of installed capacity. Furthermore, between Tan Tan and Dakhla, a total of five wind farms are already in service, with a total of 950 MW of installed capacity (Azeroual et al, 2018; Benazzouz et al, 2020; Taoufik & Fekri, 2021). Given the nature of the areas, the plants generate electricity during most of the year; however, the capacity factor for these plants is unknown.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

The offshore wind energy potential of Morocco: Optimal locations, cost analysis, and socioenvironmental examination

Charouif,

Lehnert

2023

Integr Envir Assess & Manag

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Morocco, a country without substantial fossil fuels, is emerging as a leader in renewable energy. This article addresses an untapped natural resource in Morocco: offshore wind. Methodologically, we use geographic information systems to assess optimal locations for offshore wind energy plants based on wind speed and power density from the Global Wind Atlas. We incorporate geological, environmental, and economic parameters and calculate capital expenses, operating expenses, development costs, and decommissioning costs to determine if the wind plant will provide a return on investment during its lifetime. The results identify three locations near the cities of Dakhla, Boujdour, and Essaouira that would recoup their investment in 14, 13, and 18 years, respectively, along with supplying 21.8% of Morocco's current energy needs for 2022. We conclude by considering the implications that the new plants would have for Morocco in the social, political, environmental, and economic dimensions. Integr Environ Assess Manag 2023;00:1–10. © 2023 SETAC

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GIS-based multi-criteria analysis of offshore wind farm development in Morocco

Cited by 32 publications

References 40 publications

Standardizing the factors used in wind farm site suitability models: A review

Standardizing the factors used in wind farm site suitability models: A review

Analisis Pemanfaatan Ruang Terhadap Perubahan Garis Pantai di Pulau Derawan Kabupaten Berau

The offshore wind energy potential of Morocco: Optimal locations, cost analysis, and socioenvironmental examination

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