Suppr超能文献

用于电力和能源系统分析的由天气和气候驱动的电力供需时间序列。

Weather- and climate-driven power supply and demand time series for power and energy system analyses.

作者信息

Antonini Enrico G A, Di Bella Alice, Savelli Iacopo, Drouet Laurent, Tavoni Massimo

机构信息

CMCC Foundation - Euro-Mediterranean Center on Climate Change, Lecce, Puglia, Italy.

RFF-CMCC European Institute on Economics and the Environment, Milan, Lombardy, Italy.

出版信息

Sci Data. 2024 Dec 4;11(1):1324. doi: 10.1038/s41597-024-04129-8.

Abstract

Reaching net-zero carbon emissions requires large shares of intermittent renewable energy and the electrification of end-use consumption, such as heating, making the future energy system highly dependent on weather variability and climate change. Weather exhibits fluctuations on temporal scales ranging from sub-hourly to yearly while climate variations occur on decadal scales. To investigate the intricate interplay between weather patterns, climate variations, and power systems, we developed a database of time series of wind and solar power generation, hydropower inflow, heating and cooling demand using an internally consistent modeling framework. Here we focused on the European continent and generated country level time series extending between 1940 and 2100. Our database can be used for analyses aimed at understanding and addressing the challenges posed by the evolving energy landscape in the face of deep decarbonization and climate change.

摘要

实现净零碳排放需要大量的间歇性可再生能源以及终端用能(如供暖)的电气化,这使得未来能源系统高度依赖天气变化和气候变化。天气在从亚小时到年度的时间尺度上呈现波动,而气候变化则发生在十年尺度上。为了研究天气模式、气候变化与电力系统之间的复杂相互作用,我们使用一个内部一致的建模框架,开发了一个包含风力和太阳能发电、水电流入、供暖和制冷需求时间序列的数据库。在这里,我们聚焦于欧洲大陆,并生成了1940年至2100年期间的国家层面时间序列。我们的数据库可用于旨在理解和应对深度脱碳和气候变化背景下不断演变的能源格局所带来挑战的分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/04fb46eef08d/41597_2024_4129_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验