• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

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.

DOI:10.1038/s41597-024-04129-8
PMID:39632853
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11618340/
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/28a5/11618340/52b012e11ae4/41597_2024_4129_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/04fb46eef08d/41597_2024_4129_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/0fd538d53915/41597_2024_4129_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/21715c3d6b53/41597_2024_4129_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/52b012e11ae4/41597_2024_4129_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/04fb46eef08d/41597_2024_4129_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/0fd538d53915/41597_2024_4129_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/21715c3d6b53/41597_2024_4129_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a5/11618340/52b012e11ae4/41597_2024_4129_Fig4_HTML.jpg

相似文献

1
Weather- and climate-driven power supply and demand time series for power and energy system analyses.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。
Sci Data. 2024 Dec 4;11(1):1324. doi: 10.1038/s41597-024-04129-8.
2
The 2023 Latin America report of the Countdown on health and climate change: the imperative for health-centred climate-resilient development.《2023年健康与气候变化倒计时拉丁美洲报告：以健康为中心的气候适应型发展的必要性》
Lancet Reg Health Am. 2024 Apr 23;33:100746. doi: 10.1016/j.lana.2024.100746. eCollection 2024 May.
3
Low-cost solution to the grid reliability problem with 100% penetration of intermittent wind, water, and solar for all purposes.针对间歇性风能、水能和太阳能全用途100%渗透率下的电网可靠性问题的低成本解决方案。
Proc Natl Acad Sci U S A. 2015 Dec 8;112(49):15060-5. doi: 10.1073/pnas.1510028112. Epub 2015 Nov 23.
4
Variable renewable energy penetration impact on productivity: A case study of poultry farming.可变可再生能源渗透率对生产力的影响：以家禽养殖为例。
PLoS One. 2023 Oct 2;18(10):e0286242. doi: 10.1371/journal.pone.0286242. eCollection 2023.
5
Linking Electricity and Air Quality Models by Downscaling: Weather-Informed Hourly Dispatch of Generation Accounting for Renewable and Load Temporal Variability Scenarios.通过降尺度将电力和空气质量模型联系起来：考虑可再生能源和负荷时间变化情景的天气信息小时级发电调度。
Environ Sci Technol. 2024 Nov 19;58(46):20389-20400. doi: 10.1021/acs.est.4c08060. Epub 2024 Nov 9.
6
Climate variability on Fit for 55 European power systems.适应 55 号计划的欧洲电力系统的气候多变性。
PLoS One. 2023 Dec 20;18(12):e0289705. doi: 10.1371/journal.pone.0289705. eCollection 2023.
7
Hourly test reference weather data in the changing climate of Finland for building energy simulations.用于建筑能耗模拟的芬兰气候变化中每小时测试参考气象数据。
Data Brief. 2015 May 19;4:162-9. doi: 10.1016/j.dib.2015.04.026. eCollection 2015 Sep.
8
A spatiotemporal atlas of hydropower in Africa for energy modelling purposes.用于能源建模的非洲水电时空地图集。
Open Res Eur. 2022 Mar 29;1:29. doi: 10.12688/openreseurope.13392.3. eCollection 2021.
9
Assessing the capacity of renewable power production for green energy system: a way forward towards zero carbon electrification.评估绿色能源系统的可再生能源生产能力：迈向零碳电气化的前进道路。
Environ Sci Pollut Res Int. 2021 Dec;28(46):65960-65973. doi: 10.1007/s11356-021-15517-7. Epub 2021 Jul 29.
10
Deep decarbonization of urban energy systems through renewable energy and sector-coupling flexibility strategies.通过可再生能源和部门耦合灵活性策略实现城市能源系统的深度脱碳。
J Environ Manage. 2020 Apr 15;260:110090. doi: 10.1016/j.jenvman.2020.110090. Epub 2020 Jan 21.

本文引用的文献

1
SECURES-Met: A European meteorological data set suitable for electricity modelling applications.SECURES-Met：适用于电力建模应用的欧洲气象数据集。
Sci Data. 2023 Sep 7;10(1):590. doi: 10.1038/s41597-023-02494-4.
2
The quantity-quality transition in the value of expanding wind and solar power generation.扩大风能和太阳能发电价值中的量质转变。
iScience. 2022 Mar 22;25(4):104140. doi: 10.1016/j.isci.2022.104140. eCollection 2022 Apr 15.
3
Future operation of hydropower in Europe under high renewable penetration and climate change.
欧洲在高可再生能源渗透率和气候变化情况下水电的未来运营
iScience. 2021 Aug 19;24(9):102999. doi: 10.1016/j.isci.2021.102999. eCollection 2021 Sep 24.
4
Spatial constraints in large-scale expansion of wind power plants.风力发电厂大规模扩张的空间约束。
Proc Natl Acad Sci U S A. 2021 Jul 6;118(27). doi: 10.1073/pnas.2103875118.
5
Wind and Solar Resource Droughts in California Highlight the Benefits of Long-Term Storage and Integration with the Western Interconnect.加州的风能和太阳能资源短缺凸显了长期存储和与西部互联电网集成的好处。
Environ Sci Technol. 2021 May 4;55(9):6214-6226. doi: 10.1021/acs.est.0c07848. Epub 2021 Apr 6.
6
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2).现代时代研究与应用回顾分析第2版（MERRA-2）
J Clim. 2017 Jun 20;Volume 30(Iss 13):5419-5454. doi: 10.1175/JCLI-D-16-0758.1.
7
Time series of heat demand and heat pump efficiency for energy system modeling.用于能源系统建模的热需求和热泵效率的时间序列。
Sci Data. 2019 Oct 1;6(1):189. doi: 10.1038/s41597-019-0199-y.
8
Climate change is projected to have severe impacts on the frequency and intensity of peak electricity demand across the United States.预计气候变化将对美国各地用电高峰期的频率和强度产生严重影响。
Proc Natl Acad Sci U S A. 2017 Feb 21;114(8):1886-1891. doi: 10.1073/pnas.1613193114. Epub 2017 Feb 6.