PC3: Pervasive Sensing and Computing Technologies for Energy and Water Sustainability in Buildings
PC3:用于建筑物能源和水可持续性的普遍传感和计算技术
基本信息
- 批准号:1143667
- 负责人:
- 金额:$ 29.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-01 至 2015-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award provides funding for a collaborative project between University of California, Los Angeles and Indian Institute of Information Technology, New Delhi, India. Buildings are among the largest consumers of energy, both directly in the form of electricity, gas etc. as well as indirectly through consumption of water as part of the critical energy-water nexus that one must consider for true sustainability. The objective of this project is to develop the foundations of low-cost and easy-to-deploy sensing methods that provide observability into patterns and causes of energy and water consumption in a building, and run-time methods that use the sensory information for intelligent control of various buildings systems to minimize the direct and indirect energy use. The project team is collaborating with international academic and industrial collaborators who offer access to complementary experimental opportunities and unique opportunities to develop low-cost technologies that scale across different climatic and socioeconomic contexts. Key elements of the research include (i) Low-cost self-calibrating sensors that infer energy and water usage indirectly from side-band signals, (ii) Methods to reduce overall energy and water footprint by better management of building subsystems, by timely identification and repair of energy and water wasting physical degradations, and by providing information feedback and incentives to influence occupant behaviors, and (iii) Study of the impact of human, cultural and societal factors on privacy, safety, and user interaction mechanisms. The project has the potential of significant socioeconomic benefits by facilitating assessment of efficacy of conservation measures, targeting of incentives, auditing compliance with regulations, and facilities maintenance. The project also contributes to workforce development and training of students on energy challenges in a global socioeconomic context. This project is a part of pervasive communications and computing collaboration (PC3) initiative.
该奖项为加州大学洛杉矶分校和印度新德里信息技术学院之间的一个合作项目提供资金。建筑是最大的能源消耗者之一,既直接以电力、天然气等的形式存在,也间接地通过水的消耗来实现,这是人们必须考虑的真正可持续发展的关键能源-水关系的一部分。该项目的目标是发展低成本和易于部署的传感方法的基础,这些方法提供对建筑物中能源和水消耗模式和原因的可观察性,以及使用传感信息智能控制各种建筑系统的运行时方法,以最大限度地减少直接和间接的能源使用。项目团队正在与国际学术和工业合作伙伴合作,这些合作伙伴提供了互补的实验机会和独特的机会,以开发适用于不同气候和社会经济背景的低成本技术。研究的关键要素包括:(i)从边带信号间接推断能源和水的使用情况的低成本自校准传感器;(ii)通过更好地管理建筑子系统,及时识别和修复能源和水浪费的物理退化,以及通过提供信息反馈和激励措施来影响居住者的行为,从而减少总体能源和水足迹的方法;文化和社会因素对隐私、安全和用户交互机制的影响。该项目通过促进对保护措施效果的评估、激励措施的目标、对法规遵守情况的审计和设施维护,具有显著的社会经济效益潜力。该项目还有助于劳动力发展和培训学生应对全球社会经济背景下的能源挑战。该项目是普及通信和计算协作(PC3)计划的一部分。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mani Srivastava其他文献
Active Base Stations and Nodes for Wireless Networks
- DOI:
10.1023/a:1020825023234 - 发表时间:
2003-01-01 - 期刊:
- 影响因子:2.100
- 作者:
Athanassios Boulis;Paul Lettieri;Mani Srivastava - 通讯作者:
Mani Srivastava
On the amplification of security and privacy risks by post-hoc explanations in machine learning models
机器学习模型中事后解释放大安全和隐私风险
- DOI:
10.48550/arxiv.2206.14004 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Pengrui Quan;Supriyo Chakraborty;J. Jeyakumar;Mani Srivastava - 通讯作者:
Mani Srivastava
Molecular Modeling Evaluation of the Antimalarial Activity of Artemisinin Analogues: Molecular Docking and Rescoring using Prime/MM-GBSA Approach
青蒿素类似物抗疟活性的分子模型评估:使用 Prime/MM-GBSA 方法进行分子对接和重新评分
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Mani Srivastava;Harvinder Singh;P. Naik - 通讯作者:
P. Naik
Editorial: Farewell and Introduction to the New Editor-in-Chief
- DOI:
10.1109/tmc.2011.8 - 发表时间:
2011-01 - 期刊:
- 影响因子:0
- 作者:
Mani Srivastava - 通讯作者:
Mani Srivastava
REVIEW ARTICLE - RATIONAL USE OF SWARNA PRASHANA IN CHILDREN IN CURRENT TIMES OF COVID 19 CRISIS
评论文章 - 当前 COVID 19 危机时期儿童中 Swarna Prashana 的合理使用
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Mani Srivastava - 通讯作者:
Mani Srivastava
Mani Srivastava的其他文献
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{{ truncateString('Mani Srivastava', 18)}}的其他基金
CRI: CI-EN: Collaborative Research: mResearch: A platform for Reproducible and Extensible Mobile Sensor Big Data Research
CRI:CI-EN:协作研究:mResearch:可复制和可扩展的移动传感器大数据研究平台
- 批准号:
1822935 - 财政年份:2018
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
SaTC: CORE: Medium: Collaborative: Privacy-Aware Trustworthy Control as a Service for the Internet of Things (IoT)
SaTC:核心:媒介:协作:物联网 (IoT) 的隐私意识可信控制即服务
- 批准号:
1705135 - 财政年份:2017
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
BD Spokes: SPOKE: WEST: Collaborative: MetroInsight: Knowledge Discovery and Real-Time Interventions from Sensory Data Flows in Urban Spaces
BD 发言:发言:WEST:协作:MetroInsight:城市空间中感知数据流的知识发现和实时干预
- 批准号:
1636916 - 财政年份:2016
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
CPS: Frontiers: Collaborative Research: ROSELINE: Enabling Robust, Secure and Efficient Knowledge of Time Across the System Stack
CPS:前沿:协作研究:ROSELINE:在整个系统堆栈中实现稳健、安全和高效的时间知识
- 批准号:
1329755 - 财政年份:2014
- 资助金额:
$ 29.99万 - 项目类别:
Continuing Grant
CSR: Large: Collaborative Research: Enabling Privacy-Utility Trade-Offs in Pervasive Computing Systems
CSR:大型:协作研究:在普适计算系统中实现隐私与效用的权衡
- 批准号:
1213140 - 财政年份:2012
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
Collaborative Research: Variability-Aware Software for Efficient Computing with Nanoscale Devices
协作研究:利用纳米级设备进行高效计算的可变性感知软件
- 批准号:
1029030 - 财政年份:2010
- 资助金额:
$ 29.99万 - 项目类别:
Continuing Grant
NetSE: Medium: Collaborative Research: Green Edge Networks
NetSE:媒介:协作研究:绿色边缘网络
- 批准号:
0905580 - 财政年份:2009
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
NetSE: Large: Collaborative Research: FieldStream: Network Data Services for Exposure Biology Studies in Natural Environments
NetSE:大型:协作研究:FieldStream:自然环境中暴露生物学研究的网络数据服务
- 批准号:
0910706 - 财政年份:2009
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
Collaborative Research: Design and Run-time Techniques for Physically Coupled Software
协作研究:物理耦合软件的设计和运行技术
- 批准号:
0820061 - 财政年份:2008
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
CSR--EHS: Collaborative Research: ASPIRE: Antipodal Staged Processing In Role-adaptive Embedded-systems
CSR--EHS:协作研究:ASPIRE:角色自适应嵌入式系统中的反足分阶段处理
- 批准号:
0614853 - 财政年份:2006
- 资助金额:
$ 29.99万 - 项目类别:
Continuing Grant
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