arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1603.08025cs.NIcs.CY
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建筑物智能能源物联网框架:设计、原型和实验

An Internet of Things Framework for Smart Energy in Buildings: Designs, Prototype, and Experiments

Jianli Pan, Raj Jain, Subharthi Paul, Tam Vu, Abusayeed Saifullah, Mo Sha

摘要:

建筑智能能源是物联网的一个重要研究领域。建筑物作为智能电网的重要组成部分,其能源效率对环境和全球可持续发展至关重要。我们利用获得LEED金牌认证的绿色办公楼,为我们的能效和建筑智能研究建立了一个独特的物联网实验测试平台。我们首先监测和收集为期一年的建筑物能源使用数据,然后对其进行系统评估和分析。结果表明,由于集中和静态的建筑控制,绿色建筑的实际运行可能不会是节能的,即使他们可能是“绿色”的设计。受现代计算机中“能量比例计算”的启发,提出了一种基于智能位置的自动化和网络化能量控制的物联网框架,该框架使用智能手机平台和云计算技术实现多尺度能量比例,包括建筑、用户和组织级别的能量比例。我们进一步构建了一个概念验证的物联网网络和控制系统原型,并进行了真实世界的实验,证明了所提出的解决方案的有效性。我们设想,所提出的解决方案的广泛应用不仅在节能、提高家庭/办公室网络智能方面带来了显著的经济效益,而且在全球可持续发展方面也带来了巨大的社会影响。

英文摘要:

Smart energy in buildings is an important research area of Internet of Things (IoT). Buildings as important parts of the smart grids, their energy efficiency is vital for the environment and global sustainability. Using a LEED-gold-certificated green office building, we built a unique IoT experimental testbed for our energy efficiency and building intelligence research. We first monitor and collect one-year-long building energy usage data and then systematically evaluate and analyze them. The results show that due to the centralized and static building controls, the actual running of green buildings may not be energy efficient even though they may be "green" by design. Inspired by "energy proportional computing" in modern computers, we propose a IoT framework with smart location-based automated and networked energy control, which uses smartphone platform and cloud computing technologies to enable multi-scale energy proportionality including building-, user-, and organizational-level energy proportionality. We further build a proof-of-concept IoT network and control system prototype and carried out real-world experiments which demonstrate the effectiveness of the proposed solution. We envision that the broad application of the proposed solution has not only led to significant economic benefits in term of energy saving, improving home/office network intelligence, but also bought in a huge social implication in terms of global sustainability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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