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风电变流技术 储能系统 ★ 5.0

通过风光互补降低气候变化对可再生能源系统的影响:基于CMIP6的全球研究

Reducing the impact of climate change on renewable energy systems through wind–solar blending: A worldwide study with CMIP6

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中文摘要

摘要 气候变化缓解迄今仍是全球可持续发展的一项紧迫议题。气候变化可能改变极端天气事件的发生频率和强度,进而影响太阳能和风能发电。本研究采用10个CMIP6模型的数据,估算在全球碳中和关键时期(2040–2064年)三种不同共享社会经济路径(SSPs)下全球风能和光伏发电潜力的潜在变化。结果表明,在中欧地区,光伏发电潜力(PV POT)在SSP245情景下增加8%,极端低光伏发电日数(PV10)减少10天;而在阿拉伯半岛,PV POT下降4%,PV10则增加16天。对于风力发电(WP),在南俄罗斯或美国东部等地区观测到显著下降,降幅高达35%;而在萨赫勒地区或中美洲南部等地,WP则增加达40%。值得注意的是,风–光混合系统能有效缓解极端低出力事件,中欧地区的联合出力变率降低了0.04。SSP585情景下风力发电呈现有利趋势,在北印度地区增幅可达34%。这些发现强调了整合混合系统以构建具有韧性的能源供应链、适应空间异质性气候影响的重要性。

English Abstract

Abstract Mitigating climate change has hitherto been a pressing issue for global sustainable development. Climate change can alter the frequency and intensity of extreme weather events, which in turn impacts solar and wind power generation. This study employs data from 10 CMIP6 models to estimate potential changes in global wind and photovoltaic (PV) power generation under three different Shared Socioeconomic Pathways (SSPs) during the critical period for global carbon neutrality (2040–2064). Results indicate that in Central Europe, PV potential (PV POT ) increases by 8%, while extreme low PV output days (PV10) decrease by 10 days under SSP245. Conversely, in the Arabian Peninsula, PV POT decreases by 4% with PV10 increasing by 16 days. For wind power (WP), significant reductions up to 35% are observed in regions like Southern Russia or the Eastern United States, while WP increases by 40% in areas such as the Sahel or Central South America. Notably, the wind–solar hybrid system effectively mitigates extreme low-output events, with combined output variability reduced by 0.04 in Central Europe. The SSP585 scenario demonstrates favorable trends for wind power, with increases up to 34% in Northern India. These findings emphasize the importance of integrating hybrid systems to construct a resilient energy supply chain and adapt to spatially heterogeneous climate impacts.
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SunView 深度解读

该研究揭示气候变化下风光出力时空异质性,对阳光电源风光储融合系统具有重要价值。针对极端低出力事件(如阿拉伯半岛PV10增加16天、美国东部风电下降35%),ST系列储能变流器可通过长时储能平抑波动;SG系列光伏逆变器需强化MPPT算法应对辐照变化;PowerTitan系统可基于SSP情景预测优化容量配置。建议iSolarCloud平台集成CMIP6气候模型,实现风光储协同调度的预测性运维,提升混合系统韧性0.04变异系数的降低空间可转化为储能容量优化指标。