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just FYI and nothing posing risk on my end but if I'm looking at this right:
this json file includes simple floor area classification between small/med/large offices
so,
small office if total floor area < 20,000
med office if 20,000 < total floor area < 75,000
large office if total floor area > 75,000
and I think those 20,000 and 75,000 values were based on sqft and not m2
based on a small testing:
tested with two buildings: one with 10,000 sqft and the other with 25,000 sqft
when running the workflow through EDV workflow, I see output msg shown below:
Element ID: 2 started with occupancy_classification Office and total floor area: 929.0304000000001
selected the following standards_building_type: SmallOffice
Element ID: 4 started with occupancy_classification Office and total floor area: 2322.576
selected the following standards_building_type: SmallOffice
so looks like 10,000 was read as sqft (e.g., 10,000 sqft) and then converted to m2 (929 m2) (also confirmed this via OSM) but when small/med/large classification happened, it was using 20,000 and 75,000 as m2 for comparing against 929 and 2322.
The text was updated successfully, but these errors were encountered:
the contexts of BUILDING_AND_SYSTEMS_FILE_PATH, which defines sub space types by size (here's an example), is assumed to be in sqft
openstudio is assumed to work in m2
The buildingsync gem converts incoming xmls sqft values to m2 upon the creation of the OS model generation
howeverBUILDING_AND_SYSTEMS_FILE_PATH is used exclusively by process_bldg_and_system_type, which assumes BUILDING_AND_SYSTEMS_FILE_PATH and the model are in the same units, which is untrue.
It's an easy fix. Just trying to figure out how to write the test
just FYI and nothing posing risk on my end but if I'm looking at this right:
this
json
file includes simple floor area classification between small/med/large officesso,
total floor area < 20,000
20,000 < total floor area < 75,000
total floor area > 75,000
and I think those 20,000 and 75,000 values were based on
sqft
and notm2
based on a small testing:
sqft
(e.g., 10,000 sqft) and then converted tom2
(929 m2) (also confirmed this via OSM) but when small/med/large classification happened, it was using 20,000 and 75,000 asm2
for comparing against 929 and 2322.The text was updated successfully, but these errors were encountered: