• 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

关于新冠疫情危机对瑞典某地区建筑组合能源需求影响的初步模拟研究。

A preliminary simulation study about the impact of COVID-19 crisis on energy demand of a building mix at a district in Sweden.

作者信息

Zhang Xingxing, Pellegrino Filippo, Shen Jingchun, Copertaro Benedetta, Huang Pei, Kumar Saini Puneet, Lovati Marco

机构信息

Department of Energy and Community Building, Dalarna University, Falun SE79188, Sweden.

出版信息

Appl Energy. 2020 Dec 15;280:115954. doi: 10.1016/j.apenergy.2020.115954. Epub 2020 Oct 19.

DOI:10.1016/j.apenergy.2020.115954
PMID:33100481
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7569486/
Abstract

The COVID-19 outbreak is exacerbating uncertainty in energy demand. This paper aims to investigate the impact of the confined measures due to COVID-19 outbreak on energy demand of a building mix in a district. Three levels of confinement for occupant schedules are proposed based on a new district design in Sweden. The Urban Modeling Interface tool is applied to simulate the energy performance of the building mix. The boundary conditions and input parameters are set up according to the Swedish building standards and statistics. The district is at early-design stage, which includes a mix of building functions, i.e. residential buildings, offices, schools and retail shops. By comparing with the base case (normal life without confinement measures), the average delivered electricity demand of the entire district increases in a range of 14.3% to 18.7% under the three confinement scenarios. However, the mean system energy demands (sum of heating, cooling, and domestic hot water) decreases in a range of 7.1% to 12.0%. These two variation nearly cancel each other out, leaving the total energy demand almost unaffected. The result also shows that the delivered electricity demands in all cases have a relatively smooth variation across a year, while the system energy demands follow the principle trends for all the cases, which have peak demands in winter and much lower demands in transit seasons and summer. This study represents a first step in the understanding of the energy performance for community buildings when they confront with this kind of shock.

摘要

新冠疫情的爆发加剧了能源需求的不确定性。本文旨在研究因新冠疫情爆发而实施的限制措施对某一区域内建筑组合能源需求的影响。基于瑞典一个新城区的设计,提出了三种居住人员活动安排的限制级别。运用城市建模接口工具对该建筑组合的能源性能进行模拟。根据瑞典建筑标准和统计数据设置边界条件及输入参数。该区域处于初步设计阶段,包含多种建筑功能,即住宅、办公室、学校和零售店。与基准案例(无限制措施的正常生活)相比,在三种限制情景下,整个区域的平均供电需求增长幅度在14.3%至18.7%之间。然而,系统平均能源需求(供暖、制冷和生活热水需求之和)下降幅度在7.1%至12.0%之间。这两种变化几乎相互抵消,使总能源需求几乎未受影响。结果还表明,所有情况下的供电需求在一年中变化相对平稳,而系统能源需求在所有情况下都遵循主要趋势,冬季需求高峰,过渡季节和夏季需求则低得多。本研究是理解社区建筑在面对此类冲击时能源性能的第一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/5da42d433346/gr18_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/a81cb889eb12/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/fd5b04062a1a/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/a1252c381e43/gr11_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/0b1914af1956/gr12_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/df8f8917468b/gr13_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/79da5bf92aca/gr14_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/93de354f38d0/gr15_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/ade8cffd4c50/gr16_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/b2c03a60683f/gr17_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/5da42d433346/gr18_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/a81cb889eb12/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/fd5b04062a1a/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/a1252c381e43/gr11_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/0b1914af1956/gr12_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/df8f8917468b/gr13_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/79da5bf92aca/gr14_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/93de354f38d0/gr15_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/ade8cffd4c50/gr16_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/b2c03a60683f/gr17_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/7569486/5da42d433346/gr18_lrg.jpg

相似文献

1
A preliminary simulation study about the impact of COVID-19 crisis on energy demand of a building mix at a district in Sweden.关于新冠疫情危机对瑞典某地区建筑组合能源需求影响的初步模拟研究。
Appl Energy. 2020 Dec 15;280:115954. doi: 10.1016/j.apenergy.2020.115954. Epub 2020 Oct 19.
2
Mitigation of CO2 emissions from the EU-15 building stock: beyond the EU Directive on the Energy Performance of Buildings.欧盟15国建筑存量二氧化碳排放的减排:超越欧盟建筑能源性能指令
Environ Sci Pollut Res Int. 2006 Sep;13(5):350-8. doi: 10.1065/espr2005.12.289.
3
Environmental Impact of Buildings--What Matters?建筑的环境影响——什么才重要?
Environ Sci Technol. 2015 Aug 18;49(16):9832-41. doi: 10.1021/acs.est.5b01735. Epub 2015 Jul 31.
4
Dynamic Geospatial Modeling of the Building Stock To Project Urban Energy Demand.建筑存量的动态地理空间建模以预测城市能源需求。
Environ Sci Technol. 2018 Jul 17;52(14):7604-7613. doi: 10.1021/acs.est.8b00435. Epub 2018 Jul 3.
5
Inefficient Building Electrification Will Require Massive Buildout of Renewable Energy and Seasonal Energy Storage.低效的建筑电气化将需要大规模建设可再生能源和季节性储能。
Sci Rep. 2022 Jul 13;12(1):11931. doi: 10.1038/s41598-022-15628-2.
6
High-resolution electricity generation mixes in building operation: A methodological framework for energy and environmental impacts and the case study of an Italian net zero energy building.建筑运行中的高分辨率发电组合:能源与环境影响的方法框架及意大利净零能耗建筑案例研究
Sci Total Environ. 2024 Jul 10;933:172751. doi: 10.1016/j.scitotenv.2024.172751. Epub 2024 Apr 26.
7
A multi-paradigm framework to assess the impacts of climate change on end-use energy demand.一个用于评估气候变化对终端用能需求影响的多范式框架。
PLoS One. 2017 Nov 20;12(11):e0188033. doi: 10.1371/journal.pone.0188033. eCollection 2017.
8
Comprehensive energy demand and usage data for building automation.建筑自动化的综合能源需求和使用数据。
Sci Data. 2024 May 8;11(1):469. doi: 10.1038/s41597-024-03292-2.
9
Review analysis of COVID-19 impact on electricity demand for residential buildings.新冠疫情对住宅建筑电力需求影响的综述分析
Renew Sustain Energy Rev. 2021 Jun;143:110888. doi: 10.1016/j.rser.2021.110888. Epub 2021 Mar 2.
10
Energy efficiency to reduce residential electricity and natural gas use under climate change.在气候变化下,提高能源效率以减少居民用电和天然气用量。
Nat Commun. 2017 May 15;8:14916. doi: 10.1038/ncomms14916.

引用本文的文献

1
Sustainable production and consumption in remote working conditions due to COVID-19 lockdown in Italy: An environmental and user acceptance investigation.意大利因新冠疫情封锁而处于远程工作条件下的可持续生产与消费:一项环境与用户接受度调查。
Sustain Prod Consum. 2021 Oct;28:1757-1771. doi: 10.1016/j.spc.2021.09.013. Epub 2021 Sep 15.
2
A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios.一种针对通风良好的工作空间的通风预警系统(VEWS),该系统考虑了新冠肺炎及未来大流行的情况。
Heliyon. 2023 Mar;9(3):e14640. doi: 10.1016/j.heliyon.2023.e14640. Epub 2023 Mar 17.
3

本文引用的文献

1
Review on government action plans to reduce energy consumption in buildings amid COVID-19 pandemic outbreak.关于新冠疫情期间政府降低建筑能耗行动计划的综述。
Mater Today Proc. 2020 May 6. doi: 10.1016/j.matpr.2020.04.723.
2
Navigating the Clean Energy Transition in the COVID-19 Crisis.在新冠疫情危机中应对清洁能源转型
Joule. 2020 Jun 17;4(6):1137-1141. doi: 10.1016/j.joule.2020.04.011. Epub 2020 Apr 29.
3
Planning for sustainable cities by estimating building occupancy with mobile phones.用手机估算建筑物入住率来规划可持续发展城市。
Hospital-oriented quad-generation (HOQG)-A combined cooling, heating, power and gas (CCHPG) system.
医院导向型四代(HOQG)——一种冷热电联供与燃气联合(CCHPG)系统。
Appl Energy. 2021 Oct 15;300:117382. doi: 10.1016/j.apenergy.2021.117382. Epub 2021 Jul 13.
4
Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach.新冠疫情对美国石油消费的影响:一种新的估算方法。
Energy (Oxf). 2022 Jan 15;239:122280. doi: 10.1016/j.energy.2021.122280. Epub 2021 Oct 6.
5
Energy efficiency in residential buildings amid COVID-19: A holistic comparative analysis between old and new normal occupancies.新冠疫情期间住宅建筑的能源效率:新旧常态居住情况的整体比较分析
Energy Build. 2022 Dec 15;277:112551. doi: 10.1016/j.enbuild.2022.112551. Epub 2022 Oct 13.
6
Impact of COVID-19 restrictions on building energy consumption using Phase Change Materials (PCM) and insulation: A case study in six climatic zones of Morocco.新冠疫情限制措施对使用相变材料(PCM)和隔热材料的建筑能耗的影响:以摩洛哥六个气候区为例的研究
J Energy Storage. 2022 Nov 1;55:105374. doi: 10.1016/j.est.2022.105374. Epub 2022 Aug 1.
7
Assessing the impact of COVID-19 and safety parameters on energy project performance with an analytical hierarchy process.运用层次分析法评估新冠疫情和安全参数对能源项目绩效的影响。
Util Policy. 2021 Jun;70:101210. doi: 10.1016/j.jup.2021.101210. Epub 2021 Mar 30.
8
Impact analysis of COVID-19 pandemic on the future green power sector: A case study in the Netherlands.新冠疫情对未来绿色电力部门的影响分析:以荷兰为例
Renew Energy. 2022 May;191:261-277. doi: 10.1016/j.renene.2022.04.053. Epub 2022 Apr 14.
9
Impact of the COVID-19 pandemic on the energy performance of residential neighborhoods and their occupancy behavior.新冠疫情对住宅小区能源性能及其居住行为的影响。
Sustain Cities Soc. 2022 Jul;82:103896. doi: 10.1016/j.scs.2022.103896. Epub 2022 Apr 12.
10
How residential energy consumption has changed due to COVID-19 pandemic? An agent-based model.新冠疫情如何改变了居民能源消耗?基于主体的模型。
Sustain Cities Soc. 2022 Jun;81:103832. doi: 10.1016/j.scs.2022.103832. Epub 2022 Mar 10.
Nat Commun. 2019 Aug 19;10(1):3736. doi: 10.1038/s41467-019-11685-w.