Building Energy Performance Analytics on Cloud as a Service

Young M. Lee (), Lianjun An (), Fei Liu (), Raya Horesh (), Young Tae Chae (), Rui Zhang (), Estepan Meliksetian (), Pawan Chowdhary (), Paul Nevill () and Jane L. Snowdon ()
Additional contact information
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

Service Science, 2013, vol. 5, issue 2, 124-136

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.

Keywords: cloud; energy performance; energy simulation; building energy analytics; visualization (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orserv:v:5:y:2013:i:2:p:124-136

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