Open-FDD ECM Engineering
open-fdd (PyPI 4.x) packages two complementary engineering surfaces:
- Enhanced Excel ECM workbook — the human-auditable source of truth.
- Independent Python benchmark functions — machine-friendly checks for AI agents, APIs and EnergyPlus comparisons.
The Python API fills the same workbook input cells a human engineer would fill. It does not replace the visible spreadsheet calculations.
Production FDD (DataFusion SQL fault detection) lives in the GHCR container stack, not this wheel.
Install
pip install open-fdd
For the FastAPI example:
pip install "open-fdd[ecm-web]"
Generate a workbook in a few lines
from open_fdd.ecm_engineering import ECMJob
job = (
ECMJob("Lincoln Middle School")
.set_global(
area_ft2=85000,
electric_rate=0.145,
gas_rate=0.92,
)
.add_ecm(
"static_pressure_reset",
fan_kw=55.9,
hours=4100,
baseline_speed=0.82,
proposed_speed=0.67,
)
.add_ecm(
"boiler_reset",
base_therms=48000,
base_eff=0.86,
prop_eff=0.92,
)
)
job.save("Lincoln_Middle_School_ECMs.xlsx")
The resulting XLSX contains the engineering inputs and formulas for human review.
Independent benchmark
from open_fdd.ecm_engineering import ECMJob
job = ECMJob("demo")
result = job.calc(
"fan_affinity",
design_kw=55.9,
hours=4100,
baseline_speed_fraction=0.82,
proposed_speed_fraction=0.67,
)
CLI
open-fdd-ecm calculators
open-fdd-ecm demo --out Demo_ECMs.xlsx
Engineering posture
Prefer measured BAS, utility, TAB, nameplate and manufacturer data over defaults.
Generic chiller %/°F methods are screening proxies; manufacturer performance
maps or calibrated EnergyPlus should replace them when stronger estimates are needed.
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