OPERATION DIAGNOSTICS – VERIFYING AND VALIDATING SIMULATED CONTROLS FOR ENERGY MODELS
Verifying the simulated controls for HVAC components
in energy models is not commonplace in practice
presently. However, it is very important to ensure the
simulated systems are controlled as desired for accurate
simulation results. Limitations of the software tools
available or other factors such as missing information
make it particularly challenging to verify the controls for
complicated HVAC systems in the simulations. Energy
modelers may employ several workaround strategies to
simulate these complicated systems, these usually
involve the use of alternate components in the software
tools or some assumptions related to the HVAC system.
It is important to ensure that the components are
controlled as desired so that they follow the actual
mechanical designer’s intent. Verification of the
implemented controls in real-life systems during
commissioning can be done using a graphical approach
called “Operation Diagnostics”. Sensor data collected
from the building automation system (BAS) is visualized
and compared to ideal patterns generated from the
sequence of operations (SOOs). This comparison helps
to diagnose possible deviations of the system functioning
from the design intent and identifies opportunities to
optimize its performance.
This paper proposes the application of “Operation
diagnostics” approach to energy modeling results to
diagnose issues related to the simulated controls. A
spreadsheet based tool was developed to automatically
visualize the energy simulations results for comparison
against the ideal operation patterns generated from the
SOOs. This visual-statistical approach would help the
modeler to quickly validate the energy model and
increase its accuracy.
Baumann, O. (2003). Operation Diagnostics – Verification and Optimization of Building and System Operation by Multi-Dimensional Visualization of BEMS Data, ICEBO – International Conference for Enhanced Building Operations, October 13-15, 2003, Berkeley CA (US).
Baumann, O. (2004). Operation diagnostics-use of operation patterns to verify and optimize building and system operation. International Conference for Enhanced Building Operations, October 18-19, 2004, Paris, France.
Baumann, O. (2005). Enhanced Building Operation Using ‘Operation Diagnostics’- A Case Study. In International Conference for Enhanced Building Operations, October 11-15, 2005, Pittsburgh, PA(US),.
Sunnam, R., Ergan, S., Akinci, B. (2015). Deviation analysis of the design intent and implemented controls of HVAC systems using sensor data: a case study International Workshop on Computing in Civil Engineering, June 21-23, 2015, Texas, Austin, pp. 223-231
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