NIST Example Building 1 Model 1#
Example Building 1 is a simplistic, reference tiny office building consisting of a single story with 5 rooms spanning 5 space types.
This reference building was developed for and first described in the journal article “Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis”.
Example Building 1 Model 1 is provided by current and former NIST staff and Pacific Northwest National Laboratory. See also PNNL Example Building 1 Model 2 for a different modeling approach for the same building.
Schematic view#
Contents#
This model contains a representation of the building architecture, mechanical system, and electrical/lighting system.
Source#
The model was created using TopQuadrant TopBraid Composer Maestro Edition.
Downloads#
Queries#
Model Components#
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Load and Validate Model#
This code uses the BuildingMOTIF library to load the 223P ontology and the model file into a temporary in-memory instance. It then validates the model against the ontology. If the model is invalid, it will print the validation report.
To run this code, you need to have Java installed on your system. If you do not have Java installed, you can remove the shacl_engine='topquadrant' parameter from the BuildingMOTIF constructor.
Be warned that without the shacl_engine='topquadrant' parameter, the validation process will be slower.
Note
BuildingMOTIF installation
To install the buildingmotif library, you can use the following command:
pip install 'buildingmotif[topquadrant] @ git+https://github.com/NREL/buildingmotif.git@develop'
If you do not have Java installed, you can use the following command to install the library:
pip install 'buildingmotif @ git+https://github.com/NREL/buildingmotif.git@develop'
from buildingmotif import BuildingMOTIF
from buildingmotif.dataclasses import Library, Model
import logging
# Create a BuildingMOTIF object. If you do not have Java installed, remove the "shacl_engine" parameter
bm = BuildingMOTIF('sqlite://', shacl_engine='topquadrant', log_level=logging.ERROR)
# load 223P library. We will load a recent copy from the models.open223.info
# git repository; later, we will load this from the location of the actual standard
s223 = Library.load(ontology_graph="https://github.com/open223/models.open223.info/raw/main/ontologies/223p.ttl")
# load the model into the BuildingMOTIF instance
model = Model.create("urn:nist-bdg1-1")
model.graph.parse("https://models.open223.info/nist-bdg1-1.ttl")
# validate the model against 223P ontology
ctx = model.validate([s223.get_shape_collection()], error_on_missing_imports=False)
# print the validation result
print(f"Model is valid: {ctx.valid}")
# if the model is invalid, print the validation report
if not ctx.valid:
print(ctx.report_string[:1000]) # first 1000 characters of the report
# BuildingMOTIF can also interpret the report to provide recommendations on fixes
for focus_node, diffs in ctx.get_reasons_with_severity("Violation").items():
if len(diffs) == 0:
continue
print(focus_node)
for diff in diffs:
print(" - " + diff.reason())
Model is valid: True