• 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

中国5G移动网络基站规划的碳足迹响应

The carbon footprint response to projected base stations of China's 5G mobile network.

作者信息

Zhang Xiaodong, Ciais Philippe, Jian Xiaohu, Liu Xinrui, Wang Rong, Chen Kaijie, Huang Yufei, Huang Tao, Gao Hong, Zhao Yuan, Ma Jianmin

机构信息

Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.

Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France.

出版信息

Sci Total Environ. 2023 Apr 20;870:161906. doi: 10.1016/j.scitotenv.2023.161906. Epub 2023 Jan 31.

DOI:10.1016/j.scitotenv.2023.161906
PMID:36731564
Abstract

While the rapid expansion of China's 5G mobile network helps to speed up the nation's economic and social development, it tends to release more CO due to the 5G's significant energy demand, hampering sustainable development of the 5G network. Previous assessments of CO emissions from China's 5G development were based on a projected 5G network ranging from six to fifteen million base stations with the absent of a convincing business model in 5G's application. Under the scenario of business-estimated six million base stations in 2030, the share of electricity consumed by China's 5G networks in 2030 could reach 8.4 % of the national total power generation, causing 0.44 GtCO/yr CO emissions. We collected 5G base station numbers in 2020 and 2021 in 31 provinces and province-level municipalities (PLM), the period with the rapid growth of the 5G base stations in China. We linked these provincial base stations with provincial Gross Domestic Product (GDP), population (POP), and big data development level (BDDL) and established a statistical model to predict 5G base stations by 2030. The model predicted 2-5 million 5G base stations by 2030, considerably lower than the business-projected base station number. Under the model predicted 5G base stations, China's 5G network could yield 0.15-0.29 GtCO/yr emissions subject to the nation's BDDL from 40 to 80 % by 2030. Both 5G base stations and CO emissions are significantly lower than the previous estimates. We decomposed the CO footprint of China's 5G networks and assessed the contribution of the number of 5G base stations and mobile data traffic to 5G-induced CO emissions. We find that increasing the application of clean energy and promoting energy efficiency can reduce CO emissions in the 5G network. To more accurately estimate 5G's climate effect, we propose that it urgently needs to improve vivid 5G business models.

摘要

中国5G移动网络的迅速扩张有助于加快国家经济和社会发展,但由于5G巨大的能源需求,它往往会释放更多的二氧化碳,阻碍5G网络的可持续发展。此前对中国5G发展二氧化碳排放的评估是基于预计600万至1500万个基站的5G网络,且5G应用中缺乏令人信服的商业模式。在2030年商业预估600万个基站的情景下,中国5G网络2030年的耗电量占全国总发电量的比例可能达到8.4%,导致每年排放0.44亿吨二氧化碳。我们收集了中国5G基站快速增长时期2020年和2021年31个省和省级直辖市的5G基站数量。我们将这些省级基站与省级国内生产总值(GDP)、人口(POP)和大数据发展水平(BDDL)联系起来,并建立了一个统计模型来预测2030年的5G基站数量。该模型预测到2030年将有200万至500万个5G基站,大大低于商业预估的基站数量。在模型预测的5G基站数量下,到2030年,中国5G网络根据国家大数据发展水平在40%至80%的情况下可能产生每年0.15亿至0.29亿吨二氧化碳排放。5G基站数量和二氧化碳排放量均显著低于此前估计。我们分解了中国5G网络的碳足迹,并评估了5G基站数量和移动数据流量对5G导致的二氧化碳排放的贡献。我们发现,增加清洁能源的应用和提高能源效率可以减少5G网络中的二氧化碳排放。为了更准确地估计5G的气候效应,我们建议迫切需要改进清晰的5G商业模式。

相似文献

1
The carbon footprint response to projected base stations of China's 5G mobile network.中国5G移动网络基站规划的碳足迹响应
Sci Total Environ. 2023 Apr 20;870:161906. doi: 10.1016/j.scitotenv.2023.161906. Epub 2023 Jan 31.
2
China's cement demand and CO emissions toward 2030: from the perspective of socioeconomic, technology and population.中国水泥需求与 CO2 排放展望 2030:基于社会经济、技术和人口视角。
Environ Sci Pollut Res Int. 2019 Mar;26(7):6409-6423. doi: 10.1007/s11356-018-04081-2. Epub 2019 Jan 8.
3
China's provincial CO emissions and interprovincial transfer caused by investment demand.中国因投资需求产生的省级 CO2 排放和省际转移。
Environ Sci Pollut Res Int. 2019 Jan;26(1):312-325. doi: 10.1007/s11356-018-3332-0. Epub 2018 Nov 5.
4
Empirical assessing cement CO emissions based on China's economic and social development during 2001-2030.基于 2001-2030 年中国经济和社会发展情况的水泥 CO 排放实证评估。
Sci Total Environ. 2019 Feb 25;653:200-211. doi: 10.1016/j.scitotenv.2018.10.371. Epub 2018 Oct 29.
5
Determinants investigation and peak prediction of CO emissions in China's transport sector utilizing bio-inspired extreme learning machine.利用仿生极限学习机对中国交通运输部门 CO 排放的决定因素进行调查和峰值预测。
Environ Sci Pollut Res Int. 2021 Oct;28(39):55535-55553. doi: 10.1007/s11356-021-14852-z. Epub 2021 Jun 17.
6
Reduced carbon emission estimates from fossil fuel combustion and cement production in China.中国化石燃料燃烧和水泥生产的碳排放量估算值降低。
Nature. 2015 Aug 20;524(7565):335-8. doi: 10.1038/nature14677.
7
Substantial methane emissions from abandoned coal mines in China.中国废弃煤矿的大量甲烷排放。
Environ Res. 2022 Nov;214(Pt 2):113944. doi: 10.1016/j.envres.2022.113944. Epub 2022 Jul 21.
8
Dynamic role of clean energy and sustainable economic growth in coastal region: Novel observations from China.清洁能源与可持续经济增长在沿海地区的动态关系:来自中国的新观察。
Environ Res. 2024 Jun 15;251(Pt 2):118659. doi: 10.1016/j.envres.2024.118659. Epub 2024 Mar 8.
9
Research on the impact of COVID-19 on the spatiotemporal distribution of carbon dioxide emissions in China.新冠疫情对中国二氧化碳排放时空分布的影响研究。
Heliyon. 2023 Mar;9(3):e13963. doi: 10.1016/j.heliyon.2023.e13963. Epub 2023 Feb 24.
10
The role of China's terrestrial carbon sequestration 2010-2060 in offsetting energy-related CO emissions.2010 - 2060年中国陆地碳固存对抵消能源相关碳排放的作用。
Natl Sci Rev. 2022 Mar 25;9(8):nwac057. doi: 10.1093/nsr/nwac057. eCollection 2022 Aug.

引用本文的文献

1
5G-remote radical prostatectomy under novel robotic systems: a prospective comparative cohort study with local surgeries.新型机器人系统下的5G远程根治性前列腺切除术:一项与局部手术的前瞻性比较队列研究
Prostate Cancer Prostatic Dis. 2025 Jul 28. doi: 10.1038/s41391-025-01004-4.