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Title: Corporate Delivery of a Global Smart Buildings Program

Journal Article · · Energy Engineering
 [1];  [1];  [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

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.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1439232
Journal Information:
Energy Engineering, Journal Name: Energy Engineering Journal Issue: 1 Vol. 115; ISSN 0199-8595
Country of Publication:
United States
Language:
English

References (8)

Building energy information systems: user case studies journal June 2010
Building energy information systems: synthesis of costs, savings, and best-practice uses journal February 2016
Multi-agent control system with information fusion based comfort model for smart buildings journal November 2012
Barriers and commitment of facilities management profession to the sustainability agenda journal January 2010
Towards better embedding sustainability into companies’ systems: an analysis of voluntary corporate initiatives journal April 2012
Review Article: Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I journal January 2005
Green, Clean, & Mean: Pushing the Energy Envelope in Tech Industry Buildings report May 2015
Smart Buildings: Business Case and Action Plan report April 2009

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