I-Corps Teams: BEES: Building Energy Efficiency Solutions

I-Corps 团队:BEES:建筑节能解决方案

基本信息

  • 批准号:
    1608613
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-01-01 至 2017-06-30
  • 项目状态:
    已结题

项目摘要

As a multitude of electronic gadgets make their way into our day-to-day lives, technological innovations are redefining the notion of human comfort, requiring it to be more personalized and adaptive. At the same time, changes in our general living style and expectations are accompanied with a surge in our individual energy demands. This calls for the design of smart systems that can achieve desired human comfort levels without putting additional pressure on energy resources. In current practices, shared multi-occupant spaces such as office floors with cubicles, conference rooms, student dorms, and homes, thermal settings are chosen irrespective of the number of occupants and their individual preferences. This existing approach is not only non user-centric but also sub-optimal from both energyconsumption and occupant satisfaction/productivity perspectives. The proposed approach (Building Energy Efficiency Solutions, BEES) is more performance-efficient than controlling the thermal setting of each zone in the building in an isolated manner. BEES solution can be deployed in multi-occupant spaces to make the occupants of the entire space more comfortable, and simultaneously facilitate energy efficient operation of the space. Given that nearly 40% of the total energy consumption in US, and 20% of the total energy consumption worldwide is attributed to residential and commercial building usage, a plug-n-play framework for improving energy efficiency of buildings can go a long way towards establishing a sustainable planet.BEES involves developing an Internet of Everything (IoE) platform that acts as a hub for smart home and commercial building automation. The solution framework comprises multiple components such as distributed sensors for real time measurement of building parameters, mobile applications to provide interface for human interaction enabling feedback mechanism through smart phones and wearables, a central server to collate and interpret the data, and finally integration with the building HVAC control system. BEES framework optimizes the thermal environment of a building by learning and utilizing the correlations and connections between different components, and adaptively developing the required environmental model in real time. The optimal thermal setting of the space running BEES is updated in real time based on changes in occupancy pattern, ambient conditions and other thermal variations, along with occupant's feedback and preferences.
随着大量电子产品进入我们的日常生活,技术创新正在重新定义人类舒适度的概念,要求它更加个性化和适应性。与此同时,我们一般生活方式和期望的变化伴随着我们个人能源需求的激增。这就要求设计智能系统,在不增加能源压力的情况下,实现理想的人体舒适度。在目前的实践中,共享的多居住者空间,如办公室楼层,会议室,学生宿舍和家庭,热设置的选择与居住者的数量和他们的个人喜好无关。这种现有的方法不仅是非以用户为中心的,而且从能源消耗和居住者满意度/生产力的角度来看也是次优的。所提出的方法(建筑节能解决方案,BEES)比以隔离的方式控制建筑物中每个区域的热设置更具性能效率。BEES解决方案可以部署在多人空间中,使整个空间的居住者更加舒适,同时促进空间的节能运行。鉴于美国近40%的总能源消耗和全球20%的总能源消耗归因于住宅和商业建筑的使用,提高建筑物能源效率的即插即用框架可以大大有助于建立可持续的地球。BEES涉及开发万物互联(IoE)平台,作为智能家居和商业建筑自动化的枢纽。该解决方案框架包括多个组件,例如用于建筑物参数的真实的时间测量的分布式传感器、用于通过智能手机和可穿戴设备提供人机交互接口的移动的应用、用于整理和解释数据的中央服务器,以及最终与建筑物HVAC控制系统的集成。BEES框架通过学习和利用不同组件之间的相关性和联系来优化建筑物的热环境,并在真实的时间内自适应地开发所需的环境模型。空间运行BEES的最佳热设置基于占用模式、环境条件和其他热变化的变化以及占用者的反馈和偏好沿着而真实的时间更新。

项目成果

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Koushik Kar其他文献

Koushik Kar的其他文献

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{{ truncateString('Koushik Kar', 18)}}的其他基金

CNS Core: Small: Next Generation Tiered Spectrum Licensing
CNS 核心:小型:下一代分层频谱许可
  • 批准号:
    2007454
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: A Principled Framework for Workload Distribution Techniques in Large-Scale Networks
合作研究:CNS 核心:小型:大规模网络中工作负载分配技术的原则框架
  • 批准号:
    2008639
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
NeTS: Small: Collaborative Research: Stable and Efficient Peering through Internet Exchange Points (IXPs)
NetS:小型:协作研究:通过互联网交换点 (IXP) 实现稳定高效的对等互连
  • 批准号:
    1816396
  • 财政年份:
    2018
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
PFI-TT: Smart Climate Control in Shared Workspaces for More Personalization and Efficiency
PFI-TT:共享工作空间中的智能气候控制,实现更多个性化和效率
  • 批准号:
    1827546
  • 财政年份:
    2018
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
NeTS: Small: Collaborative Research: Towards Scalable and Energy Efficient Cellular IoT Communication
NeTS:小型:协作研究:迈向可扩展且节能的蜂窝物联网通信
  • 批准号:
    1618344
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Demand-Response PEV Charging Control in Smart Grids for Renewable Supply Utilization and Hedging and Transfer of Forecast Risk
智能电网中可再生能源利用的需求响应 PEV 充电控制以及预测风险的对冲和转移
  • 批准号:
    1408333
  • 财政年份:
    2014
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
NeTS: Small: Inter-Domain Traffic Engineering though ISP Cooperation and Competition
NetS:小型:通过 ISP 合作与竞争进行域间流量工程
  • 批准号:
    1218374
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
EARS: Enabling local spectrum markets for enhanced access and flexible service
EARS:为本地频谱市场提供增强的接入和灵活的服务
  • 批准号:
    1247958
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
NeTS: Small: Flexible Delivery of Streaming Video using Network-Aware MD-FEC Coding
NeTS:小型:使用网络感知 MD-FEC 编码灵活传输流视频
  • 批准号:
    1018398
  • 财政年份:
    2010
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
NeTS: Small: Collaborative Research: Financial Dynamics of Spectrum Trading
NetS:小型:合作研究:频谱交易的金融动态
  • 批准号:
    0916958
  • 财政年份:
    2009
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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我们如何利用一个或多个计算能力强大的虚拟机器人来创建蜂巢思维网络,以更好地协调多机器人团队?
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