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Corporate Delivery of a Global Smart Buildings Program

机译:企业交付的全球智能建筑计划

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Buildings account for about 40 percent of the total energy consumption in the U.S. and emit approximately one third of greenhouse gas emissions. But they also offer tremendous potential for achieving significant greenhouse gas reductions with the right savings strategies. With an increasing amount of data from buildings and advanced computational and analytical abilities, buildings can be made "smart" to optimize energy consumption and occupant comfort. Smart buildings are often characterized as having a high degree of data and system integration, connectivity and control, as well as the advanced use of data analytics. These "smarts" can enable up to 10-20% savings in a building, and help ensure that they persist over time.In 2009, Microsoft Corporation launched the Energy-Smart Buildings (ESB) program with a vision to improve building operations services, security and accessibility in services, and new tenant applications and services that improve productivity and optimize energy use. The ESB program focused on fault diagnostics, advanced analytics and new organizational processes and practices to support their operational integration. In addition to the ESB program, Microsoft undertook capital improvement projects that made effective use of a utility incentive program and lab consolidations over the same duration. The ESB program began with a pilot at Microsoft's Puget Sound campus that identified significant savings of up to 6-10% in the 13 pilot buildings. The success of the pilot led to a global deployment of the program. Between 2009 and 2015, there was a 23.7% reduction in annual electricity consumption (kWh) at the Puget Sound campus with 18.5% of that resulting from the ESB and lab consolidations.This article provides the results of research conducted to assess the best-practice strategies that Microsoft implemented to achieve these savings, including the fault diagnostic routines that are the foundation of the ESB program and organizational change management practices. It also presents the process that was adopted to scale the ESB program globally. We conclude with recommendations for how these successes can be generalized and replicated by other corporate enterprises.
机译:建筑物约占美国总能源消耗的40%,并排放约三分之一的温室气体。但是,通过正确的节能策略,它们也为实现大幅减少温室气体排放提供了巨大潜力。随着来自建筑物的数据量的增加以及先进的计算和分析能力,可以使建筑物“智能”以优化能耗和居住舒适度。智能建筑通常具有高度的数据和系统集成,连通性和控制能力,以及对数据分析的高级使用。这些“智能”可以使建筑物节省多达10%到20%的费用,并有助于确保它们随着时间的流逝而持久。 r n2009年,Microsoft Corporation推出了能源智能建筑物(ESB)计划,旨在改善建筑物运营服务,服务的安全性和可访问性,以及新的租户应用程序和服务,以提高生产力并优化能源使用。 ESB计划侧重于故障诊断,高级分析以及新的组织过程和实践,以支持其操作集成。除了ESB计划外,Microsoft还进行了资本改善项目,这些项目在相同的期限内有效利用了公用事业激励计划和实验室合并。 ESB计划始于Microsoft的Puget Sound校园的一名飞行员,该飞行员在13座试验大楼中节省了多达6-10%的费用。试点的成功导致了该程序的全球部署。在2009年至2015年之间,普吉特海湾校区的年度用电量(kWh)降低了23.7%,其中ESB和实验室整合所产生的能耗量减少了18.5%。 r n本文提供了评估该项目的研究结果。 Microsoft为实现这些节省而实施的最佳实践策略,包括作为ESB计划和组织变更管理实践基础的故障诊断例程。它还介绍了在全球范围内扩展ESB计划所采用的过程。最后,我们建议其他公司如何推广和复制这些成功。

著录项

  • 来源
    《Energy Engineering》 |2018年第1期|7-25|共19页
  • 作者单位

    Building Technology and Urban Systems Division at Lawrence Berkeley National Laboratory (LBNL);

    Building Technology and Urban Systems Division at the Lawrence Berkeley National Laboratory;

    Lawrence Berkeley National Laboratory;

    Lawrence Berkeley National Laboratory;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 03:55:44

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