Build an EnergyPlus Infiltration and Thermal Envelope Calibration Assistant
Evaluate whole-building blower door air leakage test data against EnergyPlus epJSON ZoneInfiltration objects. Calibrate air flow coefficients and thermal properties to reconcile measured operational infiltration with simulation models.
What you are building
The core problem, expected build, and operating context for this challenge.
Evaluate whole-building blower door air leakage test data against EnergyPlus epJSON ZoneInfiltration objects. Calibrate air flow coefficients and thermal properties to reconcile measured operational infiltration with simulation models.
Building Energy Modeler
Parse baseline commercial building energy models formatted in EnergyPlus epJSON schema.
Ingest field blower door leakage rates and building envelope surface area measurements.
Adjust ZoneInfiltration:DesignFlowRate flow per exterior surface area parameters.
Generate calibrated epJSON building input objects and output a calibration variance summary.
Interactive parameter tuning panel with air-tightness curve plots and JSON schema diff viewers.
Use example EnergyPlus epJSON files from the EnergyPlus repo test suites and mock blower-door test logs. Starter examples below are synthetic. They are not downloaded records.
EnergyPlus Leverages EnergyPlus epJSON input schema and ZoneInfiltration input objects described in the repository documentation.
optuna, pydantic, FastAPI. Optuna optimizes multi-zone infiltration coefficients to minimize the error between simulated leakage and field test curves. Fast instruction LLM for checking parameter boundaries and summarizing energy model adjustments.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Parses EnergyPlus epJSON ZoneInfiltration:DesignFlowRate objects accurately.
Calculates calibrated design volume flow rates based on ACH50 field test measurements.
Validates calibrated values against epJSON schema constraints and acceptable engineering boundaries.
```json [ { "input": { "zone_id": "Office_Floor_1", "exterior_surface_area_m2": 1200, "baseline_flow_per_zone_floor_area": 0.0003, "blower_door_ach50": 3.2, "zone_volume_m3": 3600 }, "expected_output": { "calibrated_design_flow_rate_m3_s": 0.576, "adjusted_flow_per_exterior_area": 0.00048, "variance_percentage": 60, "status": "calibrated" } }, { "input": { "zone_id": "Server_Room", "exterior_surface_area_m2": 0, "baseline_flow_per_zone_floor_area": 0, "blower_door_ach50": 0, "zone_volume_m3": 400 }, "expected_output": { "calibrated_design_flow_rate_m3_s": 0, "adjusted_flow_per_exterior_area": 0, "variance_percentage": 0, "status": "interior_zone_skipped" } } ] ```
Simulation inputs are validated against schema boundaries; no automated building equipment control overrides. Use mock external writes. Require human review before any real deployment.
Participation guide
Simulation inputs are validated against schema boundaries; no automated building equipment control overrides. Use mock external writes and human review.
How work is evaluated
Parses EnergyPlus epJSON ZoneInfiltration:DesignFlowRate objects accurately. Calculates calibrated design volume flow rates based on ACH50 field test measurements. Validates calibrated values against epJSON schema constraints and acceptable engineering boundaries.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Parse baseline commercial building energy models formatted in EnergyPlus epJSON schema. Ingest field blower door leakage rates and building envelope surface area measurements. Adjust ZoneInfiltration:DesignFlowRate flow per exterior surface area parameters. Generate calibrated epJSON building input objects and output a calibration variance summary.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Parses EnergyPlus epJSON ZoneInfiltration:DesignFlowRate objects accurately. Calculates calibrated design volume flow rates based on ACH50 field test measurements. Validates calibrated values against epJSON schema constraints and acceptable engineering boundaries.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Interactive parameter tuning panel with air-tightness curve plots and JSON schema diff viewers.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Simulation inputs are validated against schema boundaries; no automated building equipment control overrides.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Parse baseline commercial building energy models formatted in EnergyPlus epJSON schema.
Ingest field blower door leakage rates and building envelope surface area measurements.
Adjust ZoneInfiltration:DesignFlowRate flow per exterior surface area parameters.
Generate calibrated epJSON building input objects and output a calibration variance summary.
Reference links and supporting material
Use example EnergyPlus epJSON files from the EnergyPlus repo test suites and mock blower-door test logs. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Optuna
Hyperparameter Optimization
Evaluated output
No output checks are configured.
- Parse baseline commercial building energy models formatted in EnergyPlus epJSON schema. Ingest field blower...
- Parses EnergyPlus epJSON ZoneInfiltration:DesignFlowRate objects accurately. Calculates calibrated design v...
- Interactive parameter tuning panel with air-tightness curve plots and JSON schema diff viewers.
- 2 public reference cases
- 1 configured tool
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- Optuna · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.