Generate CSV in PAT for Meters

asked 2020-04-07 13:00:31 -0500

elco8141
181 ●5 http://group14eng.com/

updated 2020-04-07 13:32:21 -0500

MatthewSteen

10077 ●18 ●25 https://www.nrel.gov/b...

I would like to pull out hourly data for multiple meters using the Generate CSV measure. I've been successful for individual models in OpenStudio, but when trying to apply it to a larger scale of multiple models in PAT I am not seeing any results populate in the "Generate_CSV" measure folder where they typically are for OS folders. Do the eplusmtr.csv files populate somewhere different in the PAT folder structure or is there a different method for reporting hourly meters that I should use in PAT?

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Have you checked the /localResults/uuid/ folders. These are where the files for each model run are saved like the /run folder of an individual OpenStudio model run. In PAT the /measures folder stores measures for the entire project for multiple models, which is different than a single OpenStudio model.

MatthewSteen ( 2020-08-02 15:17:09 -0500 )edit

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answered 2020-07-31 10:34:15 -0500

Aaron Boranian

13830 ●76 ●24 http://bigladdersoftware.com/

I'm not finding this "Generate_CSV" measure on the Building Component Library (BCL). Is this a measure that your team developed internally?

If you check the measure's XML file, there is an attribute named Intended Software Tool. This can be set to however you intend to use the measure in your OpenStudio workflow (Apply Measure Now before a simulation, OpenStudio Application, Parametric Analysis Tool, etc.). One measure can have multiple lines for this Intended Software Tool attribute (see example below). The screenshot below is from a pretty old measure, so the XML Schema may have changed slightly over the last ~4 years. image description

If you want to use it in PAT, you should have one Intended Software Tool attribute listed for Parametric Analysis Tool in the measure.xml file. If that is already the case, then it may be how PAT is generating the eplusmtr.csv files in a different folder than where the measure is expecting.