McMaster University

A Canadian university working in conjunction with a regional health care teaching facility is using sophisticated analytics to track, forecast and simulate energy consumption patterns in buildings to create a first-of-a-kind (FOAK) solution that reduces energy usage and greenhouse gas emissions

Published on 01 Jun 2011

Validated on 16 Dec 2013

"We now have the tools we need not only to monitor real-time energy usage in buildings but also to determine how best to reduce that usage, resulting in lower energy costs and an environmentally friendlier campus." - Tony Cupido, AVP Facilities, McMaster University

Customer:
McMaster University

Industry:
Education

Deployment country:
Canada

Solution:
IBM Research, Smarter Planet

Smarter Planet:
Smarter Education, Smarter Energy

Overview

Founded in 1887 in Toronto, McMaster University instructs more than 20,000 undergraduates and 3,000 graduate students from its campus on 300 acres in Hamilton, Ontario. Dedicated to innovation, McMaster University prides itself on the development and implementation of a much-imitated interdisciplinary approach to learning. With a total sponsored research income of USD345 million, McMaster University ranks first in Canada in research intensity.

Business need:
Buildings use 40 percent of the energy consumed in developed countries. Ontario-based McMaster University wanted to go beyond traditional energy analytics for buildings and gain a more comprehensive understanding of how energy usage could be reduced—and then put that understanding into action.

Solution:
Getting a handle on energy usage is critical to controlling a building’s utility costs and reducing its impact on the environment. McMaster University, in cooperation with Hamilton Health Sciences, is meeting that challenge by feeding data from an extensive array of sensors, energy consumption meters and dynamic pricing sources into predictive analytics and decision-support technology. McMaster and Hamilton Health Sciences can now accurately assess, track, simulate and optimize energy consumption for dozens of buildings. They can also forecast the impact of various energy reduction strategies

Benefits:
·Optimized energy use and scheduling of energy consumption ·Provided the ability to conduct what-if scenarios for estimating the impact of energy-saving initiatives and behaviors ·Targeted opportunities for reducing the campus’ and hospital’s carbon footprint and greenhouse emissions

Case Study

Founded in 1887 in Toronto, McMaster University instructs more than 20,000 undergraduates and 3,000 graduate students from its campus on 300 acres in Hamilton, Ontario. Dedicated to innovation, McMaster University prides itself on the development and implementation of a much-imitated interdisciplinary approach to learning. With a total sponsored research income of USD345 million, McMaster University ranks first in Canada in research intensity.

The Opportunity
Buildings use 40 percent of the energy consumed in developed countries. Ontario-based McMaster University wanted to go beyond traditional energy analytics for buildings and gain a more comprehensive understanding of how energy usage could be reduced—and then put that understanding into action.

What Makes It Smarter
Getting a handle on energy usage is critical to controlling a building’s utility costs and reducing its impact on the environment. McMaster University, in cooperation with Hamilton Health Sciences, is meeting that challenge—and supports LEED® standards for existing buildings—by feeding data from an extensive array of sensors, energy consumption meters and dynamic pricing sources into predictive analytics and decision-support technology. McMaster and Hamilton Health Sciences can now accurately assess, track, simulate and optimize energy consumption for dozens of buildings. They can also forecast the impact of various energy reduction strategies such as equipment upgrades, temperature management and weatherization, resulting in smarter decisions related to the reduction of energy consumption and greenhouse gas emissions.

Real Business Results

  • Optimized energy use and scheduling of energy consumption
  • Provided the ability to conduct what-if scenarios for estimating the impact of energy-saving initiatives and behaviors
  • Targeted opportunities for reducing the campus’ and hospital’s carbon footprint and greenhouse emissions

For more information
Please contact your IBM sales representative or IBM Business Partner. Visit us at: ibm.com/education

To learn more about McMaster University, visit: http://www.mcmaster.ca/

Legal Information

© Copyright IBM Corporation 2011 IBM Corporation 1 New Orchard Road Armonk, NY 10504 U.S.A. Produced in the United States April 2011 All Rights Reserved IBM, the IBM logo, ibm.com, Cognos, DB2, ILOG and InfoSphere are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml Answertree®, Clementine®, Decisiontime®, Lexiquest®, PASW®, PASW the Predictive Analytics Company®, Quancept®, Samplepower®, Showcase®, Smartscore®, SPSS®, and WHATIF?™ are trademarks or registered trademarks of SPSS, Inc. (or its affiliates), an IBM Company. Other company, product or service names may be trademarks or service marks of others. The information contained in this documentation is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this documentation, it is provided “as is” without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this documentation or any other documentation. Nothing contained in this documentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM (or its suppliers or licensors), or altering the terms and conditions of the applicable license agreement governing the use of IBM software.

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