可再生能源
环境科学
气候变化
水力发电
生物能源
基线(sea)
自然资源经济学
风力发电
能源开发
能源供应
海上风力发电
减缓气候变化
全球变暖
环境资源管理
能量(信号处理)
生态学
经济
海洋学
地质学
统计
生物
数学
作者
David Gernaat,Harmen Sytze de Boer,Vassilis Daioglou,Seleshi Yalew,Christoph Müller,Detlef P. van Vuuren
标识
DOI:10.1038/s41558-020-00949-9
摘要
Renewable energy resources, which depend on climate, may be susceptible to future climate change. Here we use climate and integrated assessment models to estimate this effect on key renewables. Future potential and costs are quantified across two warming scenarios for eight technologies: utility-scale and rooftop photovoltaic, concentrated solar power, onshore and offshore wind energy, first-generation and lignocellulosic bioenergy, and hydropower. The generated cost–supply curves are then used to estimate energy system impacts. In a baseline warming scenario, the largest impact is increased availability of bioenergy, though this depends on the strength of CO2 fertilization. Impacts on hydropower and wind energy are uncertain, with declines in some regions and increases in others, and impacts on solar power are minor. In a future mitigation scenario, these impacts are smaller, but the energy system response is similar to that in the baseline scenario given a larger reliance of the mitigation scenario on renewables. Renewable energy relies on climate fields that will be altered by warming, and the impacts on the energy system are estimated for eight renewable energy technologies. Bioenergy sees the largest global increases but high uncertainty; other types see small global change but robust local trends.
科研通智能强力驱动
Strongly Powered by AbleSci AI