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Building Energy Performance Analytics on Cloud as a Service

Author

Listed:
  • Young M. Lee

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Lianjun An

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Fei Liu

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Raya Horesh

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Young Tae Chae

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Rui Zhang

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Estepan Meliksetian

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Pawan Chowdhary

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Paul Nevill

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

  • Jane L. Snowdon

    (IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598)

Abstract

Reducing energy consumption, improving energy efficiency, and reducing greenhouse gas (GHG) emissions are among the most important initiatives in today's world. Occupied buildings consume a substantial amount of energy, mounting to about 40% of overall energy consumption in most countries. The majority of the world's population either lives or works in buildings; therefore, everybody can contribute in reducing energy consumption, controlling GHG emissions, and mitigating climate change and its potential impact. We developed an analytical tool that can assist building owners, facility managers, operators, and tenants of buildings in assessing, benchmarking, diagnosing, tracking, forecasting, simulating, and optimizing energy consumption in building portfolios. Furthermore, for greater dissemination, we have made this analytic service available on demand in a flexible cloud environment. Cloud is an efficient and effective medium to provide building energy analytics capability to various functions and people in a variety of roles in buildings without investing a substantial amount of money in hardware, software, and information technology infrastructure. We present results of the building energy analytics developed for K–12 public school buildings and a commercial office building complex.

Suggested Citation

  • Young M. Lee & Lianjun An & Fei Liu & Raya Horesh & Young Tae Chae & Rui Zhang & Estepan Meliksetian & Pawan Chowdhary & Paul Nevill & Jane L. Snowdon, 2013. "Building Energy Performance Analytics on Cloud as a Service," Service Science, INFORMS, vol. 5(2), pages 124-136, June.
  • Handle: RePEc:inm:orserv:v:5:y:2013:i:2:p:124-136
    DOI: 10.1287/serv.1120.0040
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