2019
DOI: 10.1007/s12517-019-4950-7
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Wind energy land distribution in Morocco in 2021–2050 according to RCM simulation of CORDEX-Africa project

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Cited by 12 publications
(4 citation statements)
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“…(e.g. El Hadri et al, 2019; Harris et al, 2023; Jenkins et al, 2023; Leone et al, 2022; Meixler et al, 2023; Pawluk De‐Toledo et al, 2023; Zhou, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…(e.g. El Hadri et al, 2019; Harris et al, 2023; Jenkins et al, 2023; Leone et al, 2022; Meixler et al, 2023; Pawluk De‐Toledo et al, 2023; Zhou, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Europe [82] Europe CMIP6 [83] Europe CORDEX [84] Northern Europe CMIP6 [85] Ireland CMIP6 [86] Italy CORDEX [87] Ireland CORDEX [88] Germany CORDEX [89] Greece WRF [90] Greece Rossby Centre Regional Atmospheric Model, Version 4 (RCA4) [91] Spain CORDEX [92] Portugal CORDEX [93] Iberian Peninsula, Spain and Portugal CORDEX [94] Republic of Serbia Erdemli-Basin-Uni Oslo-Physical Oceanography Model (EBU-POM), Nonhydrostatic Multiscale Model on B-grid (NMMB) [95] Lithuania MPI-ESM-LR, IPSL-CM5A-M Africa [96] Northwestern Africa CORDEX [97] West Africa CMIP6 [98] West Africa CORDEX [99] West Africa CORDEX [100] Southwestern Africa CORDEX [101] Zambia CORDEX [102] Morocco CORDEX [103] Egypt CMIP6…”
Section: Wind Resourcementioning
confidence: 99%
“…Given the reasons for the simulation errors mentioned earlier, addressing this issue involves continuously optimizing the construction of climate models to enhance the accuracy of model outputs [38,61]. Additionally, countries need to construct wind and solar power plants and adjust renewable energy supply configurations based on local terrain and atmospheric conditions [102], which require improvements in resolution to simulate small-scale variations. Increasing spatial resolution aids in more accurately simulating atmospheric processes such as precipitation and cloud formation [122], thus improving the accuracy of meteorological element simulations.…”
Section: Future Research Prospectsmentioning
confidence: 99%
“…) 𝑁 𝑖=1 (10) The classification established by the National Renewable Energy Laboratory (NREL), at the height of 10 meters, allows sites to be categorised based on the wind power density value. Table 1 presents the wind power classes corresponding to the studied wind speeds [22]. Wind power classes 4 and higher are well-suited for grid-integrated applications, offering significant potential for harnessing wind energy.…”
Section: Energy Modelling and Wind Power Densitymentioning
confidence: 99%