Abstract

With the purpose of achieving carbon emission reduction targets, the wind power industry has developed rapidly in recent years. Wind power is greatly affected by climate change, and the increase or decrease of wind speed directly affects wind energy production. Based on the numerical simulation results from a high-resolution (~ 25 km) regional climate model PRECIS, we analyze the changes of future wind speed and wind power potential in the "Three North" (TN) region in China. Firstly, we verify whether the PRECIS can capture the current spatiotemporal patterns in simulating the wind speed compared with observation (CN05.1). The results show PRECIS has a good ability in reproducing the spatiotemporal patterns of wind speed in the eastern part of the TN region, but still has great uncertainty in the northwest. In the future, the projected wind power density in the TN region will increase by about 0.7% in the middle of the 21st century, but will drop significantly in the end of the century (about −3.32%). Furthermore, Wind power density will increase significantly in winter. However, the wind speed in spring and summer will generally decrease. It is predicted that most of the Northwest (NW) and North (N) will have strong inter-annual variability in the middle of this century, and will be more stable at the end of this century. It should be noted that the potential of wind energy in Northeast (NE) will grow steadily in this century, which will have certain guiding significance for future wind power planning in this region.

Highlights

  • The fifth IPCC assessment report (AR5) indicates that the climate system is undoubtedly getting warmer

  • We used the high-resolution PRECIS model driven by HadGEM2-ES to estimate future changes of wind speed and wind power density in the Three North" (TN) region

  • The potential changes were estimated for the near future decades (2030s) and the end of the 21st century (2080s) under the IPCC RCP4.5 emission scenario

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Summary

Introduction

The fifth IPCC assessment report (AR5) indicates that the climate system is undoubtedly getting warmer. There are five major hotspots of abundant wind resources, including the central-northern region of North America, southern South America, northern/north-western Europe, northern Asia and the central-south-eastern region of the Asian continent [5] This energy source, which has little carbon emissions, will potentially contribute to climate change mitigation [6]. Chen et al [13] assessed the ability of nine CMIP5-coupled atmosphere–ocean general circulation models (AOGCMs) in simulating the near-surface wind over China They concluded that GCMs showed lower interannual variability and could not reproduce the recent decline in near-surface wind speeds, which have been shown in observations. In this paper, we use a high resolution (25 km) regional climate model to simulate the spatiotemporal variability of mean and extreme wind speeds in the TN region, and further analyze the variation trend of wind energy potential under the RCP4.5 scenario

Study Domain
Data and Methods
Statistical Analysis Methods
Historical Period
Interannual Variability in Future
Findings
Summary and Discussion
Full Text
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