A multi-level energy performance diagnosis method for energy information poor buildings

Chengchu Yan, Shengwei Wang, Fu Xiao, Dian ce Gao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

33 Citations (Scopus)

Abstract

A thorough assessment and diagnosis is critical for understating and enhancing building energy performance while most buildings cannot provide sufficient energy use data for a detailed diagnosis. This paper presents a multi-level energy performance diagnosis method for energy information-poor buildings where very limited energy use data are available. A simplified monthly energy performance calculation method based on basic energy balances within a building is developed. It provides sufficient energy performance data of a building at multiple levels (i.e., building, system and component levels) while only requiring monthly energy bill data and few in-situ measurements of the HVAC system. The energy performance level then can be determined by comparing the estimated performance data with the benchmark data. A customized benchmarking method using the "relative performance factor" is proposed to indicate the relative difference between the current performance and the expected performance, and to estimate the energy saving potentials. The developed multi-level energy performance calculation method is validated in a super high-rise building in Hong Kong. A case study on illustrating how to apply the proposed diagnosis method for identifying the poor performance areas and the causes behind as well as estimating the energy saving potentials is also presented.
Original languageEnglish
Pages (from-to)189-203
Number of pages15
JournalEnergy
Volume83
DOIs
Publication statusPublished - 1 Apr 2015

Keywords

  • Building energy performance assessment
  • Customized benchmarking
  • Energy balance method
  • Energy information poor building
  • Multiple-level diagnosis

ASJC Scopus subject areas

  • Pollution
  • Energy(all)

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