Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach

He, Junyi; Li, Q.S.; Chan, P. W.; Zhao, Xueying

doi:10.1016/j.apenergy.2022.120290

Cited by 16 publications

(2 citation statements)

References 79 publications

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“…[78] China CORDEX, Providing Regional Climates for Impacts Studies (PRECIS) [79] South China Sea regional climate model, Version 4.7 (RegCM4.7) [80] Hong Kong, China CMIP6 [81] Vietnam's tropical area RegCM4…”

Section: Wind Resourcementioning

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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Section: Wind Resourcementioning

confidence: 99%

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

Chen,

2024

Sustainability

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“…In the last 20 years, WE have emerged as one of the most dependable and important forms of energy production. The International Renewable Energy Agency (IRENA) estimates that the capacity of offshore WE global was 542 GW in 2018 and is projected to increase to 5044 GW by 2050 (He et al, 2023;Mahmoud et al, 2022aMahmoud et al, , 2023a. China presently produces the most WE in the world with 282 GW of capacity in place, closely followed by the USA (118 GW) and Germany (62 GW), per a report by the International Energy Agency (IEA) (Dhurgadevi et al, 2022;Mahmoud et al, 2023b).…”

Section: Introductionmentioning

confidence: 99%

Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines

Alnami,

Ardjoun,

Mahmoud

2024

Wind Engineering

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Research and investigation into renewable energy sources is being sparked by the rapidly rising need for electricity, higher costs of fossil fuels, and increasing worries about the environment. Recent years have seen a tremendous increase in the use of wind energy (WE). In-depth study has been done to effectively produce power from WE. Nevertheless, it is exceedingly challenging and dangerous to set up wind turbines (WTs) for research and teaching uses due to constraints like space and upkeep. Numerous benefits come with a lab-scale WT emulator (WTE), such as freedom from space restrictions, an improved level of control, and independence from existing weather conditions. The design and execution of a low-power, lab-scale WTE are the focus of this study. The investigated experimental configuration is intended to precisely mimic the mechanical behavior of a real WT. Aerodynamics, blades, slow shafts, gearboxes, and controller elements, for example, are modeled in MATLAB/Simulink before they are assembled and implemented on a dSPACE 1104 board. A DC motor running under buck converter control is used to substitute the quick shaft. The WTE’s functionality is evaluated in various wind speed conditions. The findings of comparing the WTE’s dynamics with those offered by the manufacturer amply show the efficacy of the proposed WTE and its capacity to take the position of an actual WT. This paper will be a useful resource for investigators in helping them select the best WTE approach for their purposes.

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Application of geographic information systems with artificial neural networks technique in prediction of wind energy potential; the case of Isparta Province, Türkiye

Kılıç,

Hepdeniz

2024

Int. J. Environ. Sci. Technol.

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Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach

Cited by 16 publications

References 79 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

Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines

Application of geographic information systems with artificial neural networks technique in prediction of wind energy potential; the case of Isparta Province, Türkiye

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