Measurement uncertainty in energy monitoring : present state of the art

Show simple item record Carstens, Herman Xia, Xiaohua Yadavalli, Venkata S. Sarma 2017-11-03T08:17:28Z 2018-03
dc.description.abstract Measurement uncertainty is a key component in the overall uncertainty calculation for Measurement and Verification (M&V) projects. However, in some cases, it is reduced to outlier detection or basic uncertainty propagation calculations. In other cases, funds are spent on determining uncertainties that have little effect on project decisions. Therefore a need exists for a fuller treatment of the subject in the light of literature from M&V and other fields. This paper surveys general M&V literature, as well as relevant research from metrology, electrical engineering, economics, decision analysis, and statistics. Electrical metering and sub-metering uncertainty is investigated, as well as often-overlooked considerations such as power quality and the cost of calibration. The effect of mismeasurement on energy models and practical techniques for mitigating such effects are assessed. Last, research on building simulation and project decisions in the light of measurement error is surveyed. Bayesian methods are found to be a recurring theme in much of the research being conducted on all of these aspects. Power quality and mismeasurement effects have also been found to make a material difference in project evaluation. The survey is concluded with recommendations for further research in the light of current trends in data analysis and energy evaluation. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.department Industrial and Systems Engineering en_ZA
dc.description.embargo 2019-03-30
dc.description.librarian hj2017 en_ZA
dc.description.sponsorship The National Research Foundation (NRF) (grant number 95122) and the National Hub for the Postgraduate Programme in Energy Efficiency and Demand Side Management. en_ZA
dc.description.uri en_ZA
dc.identifier.citation Carstens, H., Xia, X. & Yadavalli, S. 2018, 'Measurement uncertainty in energy monitoring : present state of the art', Renewable and Sustainable Energy Reviews, vol. 82, part 3, pp. 2791-2805. en_ZA
dc.identifier.issn 1364-0321 (print)
dc.identifier.issn 1879-0690 (online)
dc.identifier.other 10.1016/j.rser.2017.10.006
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2017 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Renewable and Sustainable Energy Reviews . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Renewable and Sustainable Energy Reviews, vol. 82, part 3, pp. 2791-2805, 2018. doi : 10.1016/j.rser.2017.10.006. en_ZA
dc.subject Measurement and verification (M&V) en_ZA
dc.subject Energy metering en_ZA
dc.subject Project risk en_ZA
dc.subject Measurement error models (MEM) en_ZA
dc.subject Calibration en_ZA
dc.subject Metrology en_ZA
dc.subject Mismeasurement en_ZA
dc.subject Errors-in-variables en_ZA
dc.subject Bayesian networks en_ZA
dc.subject Data handling en_ZA
dc.subject Power quality en_ZA
dc.subject Quality control en_ZA
dc.subject Risk assessment en_ZA
dc.subject Units of measurement en_ZA
dc.subject Survey en_ZA
dc.subject Uncertainty analysis en_ZA
dc.title Measurement uncertainty in energy monitoring : present state of the art en_ZA
dc.type Postprint Article en_ZA

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