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Formalizing Approximations, Assumptions, and Simplifications to Document Limitations in Building Energy Performance Simulation

TitleFormalizing Approximations, Assumptions, and Simplifications to Document Limitations in Building Energy Performance Simulation
Publication TypeWorking Paper
Year of Publication2012
AuthorsMaile, T, Fischer, M, Haymaker, J, Bazjanac, V
IssueWP126
Date Published08/2012
PublisherCIFE
Publication Languageeng
KeywordsApproximation, Assumptions, Building Energy Performance, Center for Integrated Facility Engineering, CIFE, Simplifications, Simulated Performance Data, Simulation, Stanford University
AbstractDifferences between measured and simulated building energy performance are often caused by limitations of building energy performance simulation (BEPS) models. These limitations can be documented with simulation approximations, assumptions, and simplifications (AAS). Existing literature mentions only a project-specific subset of these AAS and does not provide a formal process for detecting limitations of BEPS tools, differences between measured and simulated data and thus building energy performance problems This paper describes a list of critical simulation AAS that describe limitations of simulation input data, shortcomings of BEPS tools, and the use of simulation concepts by users. We describe semi-automated mechanisms for generating input data to reduce the influence of AAS on simulation results, and for identifying performance problems from differences between measured and simulated data. Based on four case studies, we provide specific evidence of AAS in EnergyPlus, include recommendations for improving BEPS tools generally for more realistic use during operation, and discuss future research directions to increase the quality of simulated performance data.
URLhttps://purl.stanford.edu/tb375jd6993
PDF Linkhttps://stacks.stanford.edu/file/druid:tb375jd6993/WP126.pdf
Citation Key644