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A Calibration Methodology for Retrofit Projects Using Short-Term Monitoring and Disaggregated Energy Use Data
Abstract
This paper presents an improved methodology to
calibrate energy simulation models to better represent
the actual energy use breakdowns in existing buildings.
The goal of this methodology is to help architects
and engineers accurately determine the current
energy use and identify any energy-related problems
in the building before proposing the retrofit design
solutions, without conducting long-term monitoring.
The methodology includes procedures to conduct
systematic data collection, "on-off' tests to determine
the power densities of the electrical loads, up
to four weeks of building energy monitoring to derive
the energy use profiles and temperature settings,
and disaggregation of the measured energy use data.
The procedures also utilize the monthly utility billing
records and site weather data. The calibration to the
measured data is done on both hourly and monthly
basis.
The procedures are built into a computer program
and integrated with previously developed
simulation software. The user interface of the program
includes guidelines to help the user decide
which simulation input variable has to be altered in
order to match the measured data. It also produces
graphical outputs to help in visualizing the results,
and several guidelines to help study different retrofit
strategies after the model has been calibrated.
Citation
Soebarto, V. I.; Degelman, L. O. (1996). A Calibration Methodology for Retrofit Projects Using Short-Term Monitoring and Disaggregated Energy Use Data. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /6667.