CarbonMonitor-Power near-real-time monitoring of global power generation on hourly to daily scales - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Scientific Data Année : 2023

CarbonMonitor-Power near-real-time monitoring of global power generation on hourly to daily scales

Biqing Zhu
Zhu Deng
  • Fonction : Auteur
Xuanren Song
Wenli Zhao
  • Fonction : Auteur
Da Huo
  • Fonction : Auteur
Taochun Sun
Piyu Ke
Duo Cui
  • Fonction : Auteur
Chenxi Lu
Haiwang Zhong
Chaopeng Hong
  • Fonction : Auteur
Jian Qiu
  • Fonction : Auteur
Steven J Davis
Pierre Gentine
Zhu Liu

Résumé

We constructed a frequently updated, near-real-time global power generation dataset: CarbonMonitor-Power since January, 2016 at national levels with near-global coverage and hourly-to-daily time resolution. The data presented here are collected from 37 countries across all continents for eight source groups, including three types of fossil sources (coal, gas, and oil), nuclear energy and four groups of renewable energy sources (solar energy, wind energy, hydro energy and other renewables including biomass, geothermal, etc.). The global near-real-time power dataset shows the dynamics of the global power system, including its hourly, daily, weekly and seasonal patterns as influenced by daily periodical activities, weekends, seasonal cycles, regular and irregular events (i.e., holidays) and extreme events (i.e., the COVID-19 pandemic). The CarbonMonitor-Power dataset reveals that the COVID-19 pandemic caused strong disruptions in some countries (i.e., China and India), leading to a temporary or longlasting shift to low carbon intensity, while it had only little impact in some other countries (i.e., Australia). This dataset offers a large range of opportunities for power-related scientific research and policy-making.
Fichier principal
Vignette du fichier
s41597-023-02094-2.pdf (3.49 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04086802 , version 1 (02-05-2023)

Identifiants

Citer

Biqing Zhu, Zhu Deng, Xuanren Song, Wenli Zhao, Da Huo, et al.. CarbonMonitor-Power near-real-time monitoring of global power generation on hourly to daily scales. Scientific Data , 2023, 10 (1), pp.217. ⟨10.1038/s41597-023-02094-2⟩. ⟨hal-04086802⟩
20 Consultations
12 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More