WP125: Formalizing Assumptions to Document Limitations of Building Performance Measurement Systems

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Abstract/Contents

Abstract: Building energy performance is often unknown or inadequately measured. When performance is measured, it is critical to understand the validity of the measured data before identifying performance problems. Limitations of measurement systems make adequate assessment of validity difficult. These limitations originate in the set of available data and in the functional parts of the measurement system. Previous research has used project-specific assumptions in an ad-hoc manner to describe these limitations, but the research has not compiled a list of critical measurement assumptions and a process to link the measurement assumptions to performance problems. To aid in the assessment of measured data, we present a list of critical measurement assumptions drawn from the existing literature and four case studies. These measurement assumptions describe the validity of measured data. Specifically, we explain the influence of sensing, data transmission, and data archiving. We develop a process to identify performance problems resulting from differences between measured and simulated data using the identified measurement assumptions. This paper validates existing measurement data sets based on known performance problems in a case study and shows that the developed list of critical measurement assumptions enables the identification of differences caused by measurement assumptions and exclude them from analysis of potential performance problems.

Type of resource	text
Date created	August 2010

Subject	CIFE
Subject	Center for Integrated Facility Engineering
Subject	Stanford University
Subject	Assumptions
Subject	Building Energy Performance
Subject	Measurement
Genre	Technical report

Location	https://purl.stanford.edu/hh774nx8872

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred Citation: Maile, Tobias and Fischer, Martin and Bazjanac, Vladimir. (2010). WP125: Formalizing Assumptions to Document Limitations of Building Performance Measurement Systems. Stanford Digital Repository. Available at: http://purl.stanford.edu/hh774nx8872

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