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Challenge

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.

EngineeringHosted by Vera
Challenge brief

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.

Rules

Participation guide

Simulation inputs are validated against schema boundaries; no automated building equipment control overrides. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

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.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

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.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

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.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Interactive parameter tuning panel with air-tightness curve plots and JSON schema diff viewers.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Simulation inputs are validated against schema boundaries; no automated building equipment control overrides.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

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.

Resources and assets

Reference links and supporting material

Dataset notes

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.

Evaluation checks
  • 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.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 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

Action Space
  • 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.

Frequently Asked Questions about Build an EnergyPlus Infiltration and Thermal Envelope Calibration Assistant