A dynamic and context-driven benchmarking framework for zero-net-energy buildings

Y. Kang, T. Spiegelhalter, N. Pala, Y. Zhu, A. Bhattarai

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

1 Citation (Scopus)

Abstract

The building sector has consumed a significant portion of energy produced in the United States. In order to achieve Zero-Net-Energy (ZNE) for Buildings in the near future, designers need to consider energy consumption and CO2 emissions during planning and design stages. Benchmarking is the systematic process of measuring performance against best performers to determine best practices leading superior performance. Today, benchmarking, such as the Energy Star designation, is already being applied to measure building energy performance. However, questions still remain as to how effective the benchmarks are. Due to the uniqueness of each building and the dynamic nature of building operations, the value of dynamic and context-driven benchmarking is not fully understood. This paper presents a framework for using automatic data collection techniques, such as sensors, to contextualize and compare the energy consumption and CO2 emissions of a building. The authors also discuss how these benchmark data can be used in planning and design phases.

Original languageEnglish
Title of host publicationComputing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering
Pages626-633
Number of pages8
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 ASCE International Conference on Computing in Civil Engineering - Clearwater Beach, FL, United States
Duration: 2012 Jun 172012 Jun 20

Publication series

NameCongress on Computing in Civil Engineering, Proceedings

Other

Other2012 ASCE International Conference on Computing in Civil Engineering
CountryUnited States
CityClearwater Beach, FL
Period12/6/1712/6/20

Fingerprint

Benchmarking
Energy utilization
Planning
Stars
Sensors

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications

Cite this

Kang, Y., Spiegelhalter, T., Pala, N., Zhu, Y., & Bhattarai, A. (2012). A dynamic and context-driven benchmarking framework for zero-net-energy buildings. In Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering (pp. 626-633). (Congress on Computing in Civil Engineering, Proceedings). https://doi.org/10.1061/9780784412343.0079
Kang, Y. ; Spiegelhalter, T. ; Pala, N. ; Zhu, Y. ; Bhattarai, A. / A dynamic and context-driven benchmarking framework for zero-net-energy buildings. Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering. 2012. pp. 626-633 (Congress on Computing in Civil Engineering, Proceedings).
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Kang, Y, Spiegelhalter, T, Pala, N, Zhu, Y & Bhattarai, A 2012, A dynamic and context-driven benchmarking framework for zero-net-energy buildings. in Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering. Congress on Computing in Civil Engineering, Proceedings, pp. 626-633, 2012 ASCE International Conference on Computing in Civil Engineering, Clearwater Beach, FL, United States, 12/6/17. https://doi.org/10.1061/9780784412343.0079

A dynamic and context-driven benchmarking framework for zero-net-energy buildings. / Kang, Y.; Spiegelhalter, T.; Pala, N.; Zhu, Y.; Bhattarai, A.

Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering. 2012. p. 626-633 (Congress on Computing in Civil Engineering, Proceedings).

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

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Kang Y, Spiegelhalter T, Pala N, Zhu Y, Bhattarai A. A dynamic and context-driven benchmarking framework for zero-net-energy buildings. In Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering. 2012. p. 626-633. (Congress on Computing in Civil Engineering, Proceedings). https://doi.org/10.1061/9780784412343.0079