SCENe Things:基于物联网的社区能源计划监测

Q1 Engineering
R. Shipman, M. Gillott
{"title":"SCENe Things:基于物联网的社区能源计划监测","authors":"R. Shipman, M. Gillott","doi":"10.5334/FCE.64","DOIUrl":null,"url":null,"abstract":"This paper describes a technology platform for monitoring homes within a community energy scheme. A range of sensors was deployed to measure in-home environmental conditions, occupancy, electrical power, electrical energy, thermal energy, heating behaviour and boiler performance to better understand and predict energy consumption in individual homes and across the community. The community assets include solar photovoltaic panels that are deployed in an urban solar farm and on rooftops to generate energy that is used to charge a central battery. This community scale storage supports participation in grid services to help balance the national grid and in future phases to power a community heat network, electric vehicle charging and self-consumption within individual properties. The monitoring data helps develop insights to optimise this multifaceted system and to provide feedback to residents to visualise and control their energy consumption and encourage reductions in demand. It was found that a diverse range of Internet of Things technologies was required to generate this data and make it available for subsequent access and analysis. This diversity was consolidated in the cloud to provide a common data structure for consumption by other services via industry standard interfaces. The cloud infrastructure utilised scalable and easily deployable services that are readily available from Internet of Things platforms from the major technology companies. The paper concludes by highlighting promising areas of focus for community-level monitoring in related projects.","PeriodicalId":36755,"journal":{"name":"Future Cities and Environment","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"SCENe Things: IoT-based Monitoring of a Community Energy Scheme\",\"authors\":\"R. Shipman, M. Gillott\",\"doi\":\"10.5334/FCE.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a technology platform for monitoring homes within a community energy scheme. A range of sensors was deployed to measure in-home environmental conditions, occupancy, electrical power, electrical energy, thermal energy, heating behaviour and boiler performance to better understand and predict energy consumption in individual homes and across the community. The community assets include solar photovoltaic panels that are deployed in an urban solar farm and on rooftops to generate energy that is used to charge a central battery. This community scale storage supports participation in grid services to help balance the national grid and in future phases to power a community heat network, electric vehicle charging and self-consumption within individual properties. The monitoring data helps develop insights to optimise this multifaceted system and to provide feedback to residents to visualise and control their energy consumption and encourage reductions in demand. It was found that a diverse range of Internet of Things technologies was required to generate this data and make it available for subsequent access and analysis. This diversity was consolidated in the cloud to provide a common data structure for consumption by other services via industry standard interfaces. The cloud infrastructure utilised scalable and easily deployable services that are readily available from Internet of Things platforms from the major technology companies. The paper concludes by highlighting promising areas of focus for community-level monitoring in related projects.\",\"PeriodicalId\":36755,\"journal\":{\"name\":\"Future Cities and Environment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Cities and Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5334/FCE.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Cities and Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5334/FCE.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 7

摘要

本文描述了一个在社区能源计划中监测家庭的技术平台。部署了一系列传感器来测量家庭环境条件、占用率、电力、电能、热能、供暖行为和锅炉性能,以更好地了解和预测单个家庭和整个社区的能源消耗。社区资产包括部署在城市太阳能农场和屋顶上的太阳能光伏板,用于产生用于为中央电池充电的能量。这种社区规模的存储支持参与电网服务,以帮助平衡国家电网,并在未来阶段为社区热网、电动汽车充电和个人物业内的自耗供电。监测数据有助于开发见解,以优化这一多方面的系统,并向居民提供反馈,以可视化和控制他们的能源消耗,并鼓励减少需求。研究发现,需要多种物联网技术来生成这些数据,并使其可用于后续访问和分析。这种多样性在云中得到了整合,通过行业标准接口为其他服务的消费提供了一个通用的数据结构。云基础设施利用了可扩展和易于部署的服务,这些服务可以从主要科技公司的物联网平台上随时获得。论文最后强调了相关项目中社区一级监测的重点领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SCENe Things: IoT-based Monitoring of a Community Energy Scheme
This paper describes a technology platform for monitoring homes within a community energy scheme. A range of sensors was deployed to measure in-home environmental conditions, occupancy, electrical power, electrical energy, thermal energy, heating behaviour and boiler performance to better understand and predict energy consumption in individual homes and across the community. The community assets include solar photovoltaic panels that are deployed in an urban solar farm and on rooftops to generate energy that is used to charge a central battery. This community scale storage supports participation in grid services to help balance the national grid and in future phases to power a community heat network, electric vehicle charging and self-consumption within individual properties. The monitoring data helps develop insights to optimise this multifaceted system and to provide feedback to residents to visualise and control their energy consumption and encourage reductions in demand. It was found that a diverse range of Internet of Things technologies was required to generate this data and make it available for subsequent access and analysis. This diversity was consolidated in the cloud to provide a common data structure for consumption by other services via industry standard interfaces. The cloud infrastructure utilised scalable and easily deployable services that are readily available from Internet of Things platforms from the major technology companies. The paper concludes by highlighting promising areas of focus for community-level monitoring in related projects.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Future Cities and Environment
Future Cities and Environment Engineering-Architecture
CiteScore
3.10
自引率
0.00%
发文量
7
审稿时长
17 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信