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信息技术学院新德里分校之间的合作项目提供资金。建筑物是最大的能源消费者之一，无论是直接以电力，天然气等形式，还是间接通过水的消费，作为真正可持续发展必须考虑的关键能源-水关系的一部分。该项目的目标是开发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的模式和原因的可观察性，以及使用传感信息对各种建筑物系统进行智能控制的运行时方法，以最大限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，他们提供互补的实验机会和独特的机会，以开发可在不同气候和社会经济背景下扩展的低成本技术。该研究的关键要素包括：（i）低成本自校准传感器，可从边带信号间接推断能源和水的使用;（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物理退化，以及通过提供信息反馈和激励来影响居住者行为，从而减少整体能源和水足迹的方法，以及（iii）研究人类、文化和社会因素对隐私、安全和用户交互机制的影响。该项目有可能带来重大的社会经济效益，因为它有助于评估保护措施的有效性，确定激励措施的目标，审计遵守法规的情况，以及维护设施。该项目还有助于在全球社会经济背景下发展劳动力和培训学生应对能源挑战。该项目是普适通信和计算协作（PC 3）计划的一部分。