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

• 批准号: 1143667
• 负责人: Mani Srivastava
• 金额: $ 29.99万
• 依托单位: University of California-Los Angeles
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1143667&HistoricalAwards=false
• 关键词: PC3; Pervasive; Sensing; Computing; Technologies

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，洛杉矶分校和印度印度新德里的印度信息技术研究所之间的合作项目提供了资金。建筑物是最大的能源消费者之一，既直接以电力，气体等的形式，又是通过消耗水的形式，这是人们必须考虑真正可持续性的关键能量水联系联系的一部分。该项目的目的是开发低成本且易于隐蔽的感应方法的基础，这些方法可观察到建筑物中能源和水消耗的模式和原因，以及使用感官信息来使用感官信息来智能控制各种建筑物系统，以最大程度地减少直接和间接的能源使用。该项目团队正在与国际学术和工业合作者合作，他们提供了互补的实验机会和独特的机会，以开发跨不同气候和社会经济环境的低成本技术。这项研究的关键要素包括（i）低成本的自我校准传感器，这些传感器通过侧频信号间接推断能量和水的使用，（ii）通过更好地管理建筑物体系，通过及时地识别和修复体力和水的物理降解，以及对人类的影响和侵略的行为，（II II IIII）行为，（以及对占领行为的影响），（ii）通过更好地识别和修复建筑物体系来减少整体能量和水的范围（II浪费），并且隐私，安全和用户交互机制的因素。该项目通过促进保护措施的功效，针对激励措施，审计遵守法规和设施维护，具有重大社会经济利益的潜力。该项目还为在全球社会经济背景下的能源挑战的劳动力发展和培训做出了贡献。该项目是普遍通信和计算协作（PC3）计划的一部分。