NDLI: A Data Driven Pre-cooling Framework for Energy Cost Optimization in Commercial Buildings

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A Data Driven Pre-cooling Framework for Energy Cost Optimization in Commercial Buildings

Content Provider	ACM Digital Library
Author	Mendoza, Cameron Blake, Charles Chandan, Vikas Vishwanath, Arun
Abstract	Commercial buildings consume significant amount of energy. Facility managers are increasingly grappling with the problem of reducing their buildings' peak power, overall energy consumption and energy bills. In this paper, we first develop an optimization framework -- based on a gray box model for zone thermal dynamics -- to determine a pre-cooling strategy that simultaneously shifts the peak power to low energy tariff regimes, and reduces both the peak power and overall energy consumption by exploiting the flexibility in a building's thermal comfort range. We then evaluate the efficacy of the pre-cooling optimization framework by applying it to building management system (BMS) data, spanning several days, obtained from a large commercial building located in northern Australia. The results from simulations show that optimal pre-cooling reduces peak power by over 50%, energy consumption by up to 30% and energy bills by up to 37%. Next, to enable ease of use of our framework, we also propose a shortest path based heuristic algorithm for solving the optimization problem and show that it has comparable performance with the optimal solution. Finally, we describe an application of the proposed optimization framework for developing countries to reduce the dependency on expensive fossil fuels, which are often used as a source for energy backup. We conclude by highlighting our real world deployment of the optimal pre-cooling framework on the IBM Bluemix cloud. Our pre-cooling methodology, based on the gray box optimization framework, incurs no capital expense and relies on data readily available from a BMS, thus enabling facility managers to take informed decisions for improving the energy and cost footprints of their buildings.
Starting Page	157
Ending Page	167
Page Count	11
File Format	PDF
ISBN	9781450350365
DOI	10.1145/3077839.3077847
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-05-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Hvac Gray box model Commercial buildings Pre-cooling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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