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Building Energy Benchmarking Between the United States and China: Methods and Challenges

  • Tianzhen HongEmail author
  • Le Yang
  • Jianjun Xia
  • Wei Feng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 263)

Abstract

Currently, buildings in the U.S. account for more than 40 % of total primary energy. In China, the same figure is 20 %. Detailed building energy analysis and benchmarking based on energy monitoring are becoming vitally important for the evaluation of energy-efficient technologies and related policy making. This paper focuses on methods and challenges in energy benchmarking of office buildings between the U.S. and China, based on the experiences and outcomes of a joint research project under the U.S.–China Clean Energy Research Center for Building Energy Efficiency (CERC-BEE). First, benchmarking methods were presented, including data analysis methods, required data, building selection criteria, and a standard data model for building energy use. Annual electricity use benchmarking was performed from a sample of selected office buildings in both countries, with the aim of identifying and understanding the main discrepancies and key driving factors. Benchmarking challenges were then summarized and discussed, and some potential solutions were proposed, including the process of building selection, data collection and clean-up, and specific analysis techniques. Recommendations were proposed for future work to improve the process and outcomes of building energy benchmarking between the two countries.

Keywords

Benchmarking Buildings China Data analysis Data model Energy data United States 

Notes

Acknowledgments

This work was supported by the U.S.–China Clean Energy Research Center for Building Energy Efficiency. The authors appreciate the building owners, facility managers, and a few LBNL researchers for providing building data and related information for the project.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Tianzhen Hong
    • 1
    • 2
    Email author
  • Le Yang
    • 3
  • Jianjun Xia
    • 3
  • Wei Feng
    • 2
  1. 1.Simulation Research GroupLawrence Berkeley National Laboratory (LBNL)BerkeleyUSA
  2. 2.Lawrence Berkeley National Laboratory (LBNL)BerkeleyUSA
  3. 3.Tsinghua UniversityBeijingChina

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