OpenStudio Measure for HVAC Optimum Start/Stop

I would like to write an openstudio measure that allows for the HVAC system of a commercial building to have an optimal start and stop time, so as to minimize energy consumption. See here for an explanation of this energy conservation measure. Is there any relatively easy way to include a learning algorithm within an OpenStudio model? Or is this something that would need to be controlled externally?

OpenStudio's Large Scale Analysis Workflow may be ideal for this. You could write a measure to alter the setback times and or values (we already have some like this), and then use feedback loop from simulation results to find the optimal solution based on annual consumption. Of course it sounds like you may want to dynamic setbacks that adapt to conditions vs. a more typical schedule. That would take another thought.

If you take formula approach, as described in your link, where you find optimal solution based on buildings thermal inertia and outside conditions, you could do a short simulation run within a measure to evaluate the thermal Inertia and to get access to the annual weather data. Then you could either write out custom schedules (since you know what the weather will be like) or I expect could write EMS code to control the system dynamically.

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David Goldwasser

answered 2015-05-20 14:42:52 -0500

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Apologies for the extremely slow response, and thank you for the insight! I think that the EMS code approach is exactly along the lines of what I want to do,

dpud12 (2015-06-17 14:25:25 -0500) edit

@dpud12 were you able to create this measure? If so are you willing to share it either on here, on the BCL, or directly to me? I would really appreciate it.