[Bldg-sim] energy plus/open studio hourly results (DView)

Michael J Witte mjwitte at gard.com
Thu Jun 20 13:52:31 PDT 2019


The structure of the various sql tables are fixed, but the contents of 
the sql time series output are completely user-specified. And generating 
output for the design day simulations is also optional. Each specified 
Output:Variable can be reported at one or more of the following 
frequencies: hvac timestep, zone timestep, hourly, daily, monthly, or 
annual.

So, to do as you suggest (always report drybulb and wetbulb to match the 
weather data), the user would create a snippet of input to add to every 
idf file specifying these output variables at the timestep frequency 
(due to sub-hourly interpolation it will match the hourly weather data 
once per hour).

Always interested in building bridges. Maybe we can pique your curiosity 
enough to consider adding another tool to your toolbox. :-)

Mike
p.s. See many of you soon in KC for ASHRAE and IBPSA-USA.


On 6/20/2019 2:03 PM, Nicholas Caton wrote:
>
> I sincerely appreciate the spirit of building bridges in 2 directions, 
> thanks so much Mike!
>
> Out of curiosity, does energy+ as an engine, or else any of its major 
> interfaces, permit an end-user to tweak this .sql output to always (by 
> default, with all projects) include as an example drybulb and wetbulb 
> at intervals to match the source weather data fed in, or are the 
> contents/structure of this particular output kinda “boxed up?”
>
> With your input, I might suggest some additional steps for anyone 
> following along:
>
>   * Trimming and/or isolating the first ### rows of data to review
>     regular simulation and design day information separately.
>     Alternatively these are likely tagged in some fashion I haven’t
>     discovered yet in the SQL structure and could be filtered in/out
>     based on that tag.
>   * By using ReportVariableWithTime, it /_sounds like_/ you can avoid
>     the extra steps I suggested to convert the interval count (the
>     x-axes in the visuals below) into DateTime format.
>   * Once pivot charts/tables have properly formatted DateTime stamps
>     generated (or fed in), they can do a number of new magical things
>     around grouping and displaying min/max/avg/more-complicated calcs
>     with dynamic grouping.  So for example with the same query you
>     could have a visual that lets you start at an annual 12-month view
>     then “zoom” into a specific month/week/day/hour to see the data at
>     its full resolution or any grouping in between.
>

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