Wind energy land distribution in Morocco in 2021–2050 according to RCM simulation of CORDEX-Africa project

Hadri, Youssef El; Khokhlov, V. N.; Slizhe, Mariia; Sernytska, Kateryna

doi:10.1007/s12517-019-4950-7

Cited by 14 publications

(4 citation statements)

References 15 publications

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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%

Climate data for Odesa, Ukraine in 2021–2050 based on EURO‐CORDEX simulations

Borovska

Khokhlov

2023

Geoscience Data Journal

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Climate change adaptation planning at the municipal level has become mandatory due to the increasing frequency of extreme weather and climate events. The availability of near‐future climate data is the first step towards creating an adaptation plan for a city. We created the CP_OdU (Climate Projections for Odesa, Ukraine) dataset, which contains daily output variables from the 102 model runs and monthly (yearly) indices calculated for 2021–2050 in the closest to Odesa land‐located model grid point. The future data are based on 26 and 76 simulations for the scenarios RCP4.5 and RCP8.5, respectively, of 14 RCMs from the EURO‐CORDEX project. The horizontal resolution of spatial grids in the RCMs is ~0.11° or ~12 km. The CP_OdU dataset contains 76 indices relating to cloudiness, wind parameters, relative humidity, precipitation amount, snow depth and temperature. A very short description of the near‐future climate in Odesa for the RCP8.5 scenario shows its trend towards a Mediterranean climate. The rising temperature supported by the change of intra‐annual variations of precipitation will result in hot, dry summers and mild, moderately wet winters. The CP_OdU dataset can be used by climate scientists, applied science engineers and climate stakeholders in society for the creation of a climate change adaptation plan for Odesa, Ukraine.

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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%

Climate data for Odesa, Ukraine in 2021–2050 based on EURO‐CORDEX simulations

Borovska

Khokhlov

2023

Geoscience Data Journal

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“…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%

A Review of Solar and Wind Energy Resource Projection Based on the Earth System Model

Chen,

2024

Sustainability

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Many countries around the world are rapidly advancing sustainable development (SD) through the exploitation of clean energy sources such as solar and wind energy, which are becoming the core of the sustainable energy transition. In recent years, the continuous advancement of Earth system models (ESMs) has facilitated numerous studies utilizing them to predict long-term and large-scale meteorological elements, consequently enabling forecasts of wind and solar energy. These forecasts provide critical guidance for formulating national renewable energy policies. Nevertheless, the current literature on ESMs predicting wind and solar energy lacks sufficient integration. Hence, to comprehend the focal points and future research prospects, we conducted this systematic review, employing four academic search tools to comprehensively analyze the relevant literature from the past five years. We summarized the general analytical process and compared the content and conclusions of the literature. The study reveals that future photovoltaic (PV) potential for electricity generation may increase in certain regions but decrease in others, while the global potential for concentrated solar power (CSP) may diminish, influenced by diverse factors and displaying significant regional disparities. In addition, wind resource trends vary in different regions, and forecasts exhibit considerable uncertainty. Therefore, many studies have corrected wind speeds prior to predicting wind energy. Subsequent research endeavors should concentrate on optimizing ESMs, investigating the impacts of technological innovation, and enhancing the prediction and analysis of extreme weather events.

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“…) 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%

Evaluation of Wind Energy Utilisation and Analysis of Turbines in the Fes Meknes Region, Kingdom of Morocco

El Kihel,

El Kadri Elyamani,

Chillali

2023

E3S Web of Conf.

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This article explores the feasibility of using wind energy to generate electricity in four sites distributed across different geographical provinces of the Kingdom of Morocco (Fes, El Hajeb, Ifrane, Taounate). The objective is to provide accurate scientific information to facilitate decision-making regarding optimal investments in wind technology for electricity production. The data used in this study are sourced from the Windographer software database, which catalogues locations in Morocco. It includes average wind speeds measured per hour at a height of 10 meters for 43 years, extrapolated to different sizes. The sites are selected based on their wind potential for various energy applications. The wind turbine is suitable for the viable site in terms of grid integration and is determined based on the estimation of their capacity factor. One of the study's key findings reveals that the studied sites have limited wind resources and are not viable for grid integration, except for the province of Fes. This information could serve as a basis for developing a renewable energy policy to expand wind energy in Morocco.

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Wind energy land distribution in Morocco in 2021–2050 according to RCM simulation of CORDEX-Africa project

Cited by 14 publications

References 15 publications

Climate data for Odesa, Ukraine in 2021–2050 based on EURO‐CORDEX simulations

Climate data for Odesa, Ukraine in 2021–2050 based on EURO‐CORDEX simulations

A Review of Solar and Wind Energy Resource Projection Based on the Earth System Model

Evaluation of Wind Energy Utilisation and Analysis of Turbines in the Fes Meknes Region, Kingdom of Morocco

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