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Time-of-Use (ToU) Tarriff Data for Demand Response HVAC Control in EnergyPlus

asked 2021-10-26 21:50:30 -0600

mechyai gravatar image

updated 2021-11-15 23:00:33 -0600


I am trying to do research for high-level HVAC control centered around time-of-use (ToU) or real-time energy pricing for indirect demand response. However, I cannot find any hypothetical or historical ToU data to use with my EnergyPlus model. I am hoping to use real-time or day-ahead pricing at a resolution of every hour to every 5 minutes - much finer than just on-peak & off-peak pricing blocks of the day.

Does anyone know where I can find ToU tarriff data?

However, it also seems pricing data would be highly correlated to weather data, so unless I can find ToU data paired with a weather file it will likely not be applicable to my research.

The only solution may be to generate my own arbitrary/hypothetical ToU pricing function based around my weather file of choice and other correlated and random factors (ie. summarize the day's weather and random factors to generate a daily pricing scheme). Any advice for this route?

I am using Python EMS for my EnergyPlus research, so I can be very flexible in how I implement and calculate energy tarriffs.

Thank you!

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answered 2021-11-16 09:51:52 -0600

You can also try looking at OpenEI Utility Rate Database.

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answered 2021-11-16 04:44:06 -0600

Have you spoken to an electric utility which uses TOU? It seems they could easily give you the rate structure and then you can build it in E+.

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Asked: 2021-10-26 21:50:30 -0600

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Last updated: Nov 16