Projected changes in wind energy potential using CORDEX ensemble simulation over West Africa

K.O, Ogunjobi; V.O, Ajayi; Folorunsho, Akinleye; O.W, Ilori

doi:10.1007/s00703-022-00880-y

Cited by 6 publications

(3 citation statements)

References 39 publications

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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%

“…A regional analysis of Europe reveals a significant weakening of wind resources in some regions, such as the Iberian Peninsula, Serbia, Ireland, and Italy [85][86][87]93,94], while some areas show an increasing trend, such as the Baltic Sea and the North Sea in Spain [91,118,119]. In the African region, studies focus on the West African region, where wind energy is expected to continue increasing in the future, especially from June to August [97], and the magnitude of the increase will increase according to the increased emission level [99], but there may be a pronounced downward trend in the winter [98]. In the Americas region, the analysis of the entire South American region reveals a significant increase in wind energy density in the future [104], but its variability on hourly and monthly scales is high, potentially leading to increased volatility in wind power output [133].…”

Section: Wind Energy Future Changes In Wind Energymentioning

confidence: 99%

See 1 more Smart Citation

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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Section: Wind Resourcementioning

confidence: 99%

Section: Wind Energy Future Changes In Wind Energymentioning

confidence: 99%

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

Chen,

2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…The validation of the variability of the wind speed or wind power-related variables (e.g., wind power production, wind power density, etc.) often focused on the relatively low frequencies, such as inter-and intra-annual (e.g., [18][19][20][21][22][23] for Europe, [24] for China, [25,26] for Africa, [27] for the USA), or daily [28][29][30]. Gao et al [31] presented a climate impact study on China's 3-hourly wind power density variability.…”

Section: Introductionmentioning

confidence: 99%

Validating Euro-Cordex Climate Simulations For Modelling European Wind Power Generation

Luzia¹,

Matti

Hahmann³

2023

Preprint

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Modelling wind speed across Zambia: Implications for wind energy

Libanda¹,

Paeth²

2022

Intl Journal of Climatology

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Wind energy is a key option in global dialogues about climate change mitigation. Here, we combined observations from surface wind stations, reanalysis datasets, and state‐of‐the‐art regional climate models from the Coordinated Regional Climate Downscaling Experiment (CORDEX Africa) to study the current and future wind energy potential in Zambia. We found that winds are dominated by southeasterlies and are rarely strong with an average speed of 2.8 m·s−1. When we converted the observed surface wind speed to a turbine hub height of 100 m, we found a ~38% increase in mean wind speed for the period 1981–2000. Further, both simulated and observed wind speed data show statistically significant increments across much of the country. The only areas that divert from this upward trend of wind speeds are the low land terrains of the Eastern Province bordering Malawi. Examining projections of wind power density (WPD), we found that although wind speed is increasing, it is still generally too weak to support large‐scale wind power generation. We found a meagre projected annual average WPD of 46.6 W·m−2. The highest WPDs of ~80 W·m−2 are projected in the northern and central parts of the country while the lowest are to be expected along the Luangwa valley in agreement with wind speed simulations. On average, Zambia is expected to experience minor WPD increments of 0.004 W·m−2 per year from 2031 to 2050. We conclude that small‐scale wind turbines that accommodate cut‐in wind speeds of 3.8 m·s−1 are the most suitable for power generation in Zambia. Further, given the limitations of small wind turbines, they are best suited for rural and suburban areas of the country where obstructions are few, thus making them ideal for complementing the government of the Republic of Zambia's rural electrification efforts.

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Projected changes in wind energy potential using CORDEX ensemble simulation over West Africa

Cited by 6 publications

References 39 publications

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

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

Validating Euro-Cordex Climate Simulations For Modelling European Wind Power Generation

Modelling wind speed across Zambia: Implications for wind energy

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