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A Method to Compare Measured and Simulated Data to Assess Building Energy Performance

TitleA Method to Compare Measured and Simulated Data to Assess Building Energy Performance
Publication TypeWorking Paper
Year of Publication2010
AuthorsMaile, T, Fischer, M, Bazjanac, V
IssueWP127
Date Published08/2010
PublisherCIFE
Publication Languageeng
KeywordsBuilding Energy Performance, Building Energy Performance Data, Building Energy Performance Simulation, Center for Integrated Facility Engineering, CIFE, Comparing Measured and Simulated Data, Comparison Methodology, Simulation, Stanford University, Validation
AbstractBuilding energy performance is often inadequate given design goals. While different types of assessment methods exist, they either do not consider design goals and/or are not flexible enough to integrate new and innovative energy concepts. However, innovative energy concepts are needed to comply with new regulations that aim to decrease energy use in buildings. One reason for the missing flexibility of assessment methods is their development and testing based on one single case study, which makes them very specific and less flexible. Furthermore, existing assessment methods focus mostly on the building and system level while ignoring more detailed data. With the availability and affordability of more detailed measured data, a more detailed performance assessment is possible. However, the increased number of measured data points requires a structure to organize these data. Existing representations of building objects that would structure measured data typically focus on a single perspective and lack relationships between building objects that are present in buildings and that are needed to understand the interplay within heating, ventilation and air conditioning (HVAC) systems and assess their performance. This paper presents the Energy Performance Comparison Methodology (EPCM), which enables the identification of performance problems based on a comparison of measured performance data and simulated performance data representing design goals. The EPCM is based on an interlinked building object hierarchy that includes necessary relationships among building objects by integrating the spatial and thermal perspectives. We focus on the process of comparing performance data from the bottom up, starting with control set points and leading to total building performance data. This research is based on multiple case studies that provide real-life context for performance problems and measured and simulated performance data. We also prospectively validated the EPCM and the building object hierarchy with an additional case study.
URLhttps://purl.stanford.edu/ws190jt3534
PDF Linkhttps://stacks.stanford.edu/file/druid:ws190jt3534/WP127.pdf
Citation Key798