Comparing apples to oranges: Energy benchmarking of supermarkets with limited data

Maathangi Sankar, Venkata Ramakrishna P, Shiva R. Iyer, Venkatesh Sarangan, Arunchandar Vasan, Anand Sivasubramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Current approaches for benchmarking building energy consumption are either too data intensive to be feasible in practice or too data agnostic to be useful. We present a limited data approach where in, instead of using minutiae required for accurate HVAC modeling, we model the heating/cooling loads, the drivers for HVAC. This allows us to see how a building's (i) weather independent consumption compares to the optimal value and (ii) weather dependent consumption compares with its expected heating/cooling loads. Based on this two dimensional metric, we benchmark 94 geographically diverse supermarket stores and present our findings.

Original languageEnglish (US)
Title of host publicatione-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems
PublisherAssociation for Computing Machinery
Pages223-224
Number of pages2
ISBN (Print)9781450328197
DOIs
Publication statusPublished - Jan 1 2014
Event5th ACM International Conference on Future Energy Systems, e-Energy 2014 - Cambridge, United Kingdom
Duration: Jun 11 2014Jun 13 2014

Publication series

Namee-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems

Other

Other5th ACM International Conference on Future Energy Systems, e-Energy 2014
CountryUnited Kingdom
CityCambridge
Period6/11/146/13/14

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All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Sankar, M., Ramakrishna P, V., Iyer, S. R., Sarangan, V., Vasan, A., & Sivasubramaniam, A. (2014). Comparing apples to oranges: Energy benchmarking of supermarkets with limited data. In e-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems (pp. 223-224). (e-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems). Association for Computing Machinery. https://doi.org/10.1145/2602044.2602077