Build a Building Thermal Resilience and Grid Outage Simulator
Evaluate commercial building passive survivability during extreme heat grid outages using EnergyPlus. Simulate indoor temperature drift across zones and formulate actionable, emergency occupancy relocation schedules to maintain human safety.
What you are building
The core problem, expected build, and operating context for this challenge.
Evaluate commercial building passive survivability during extreme heat grid outages using EnergyPlus. Simulate indoor temperature drift across zones and formulate actionable, emergency occupancy relocation schedules to maintain human safety.
Building sustainability engineer
Ingest building epJSON models, utility outage timeframes, and extreme heat weather files formatted for EnergyPlus.
Simulate indoor thermal drift across zones using EnergyPlus with active HVAC cooling systems disabled.
Identify specific thermal zones exceeding safe human occupancy thresholds, strictly defined as 30 degrees Celsius.
Generate a prioritized evacuation and temporary cooling center routing plan for human review.
Thermal drift dashboard mapping building zones against simulated operative temperatures and required evacuation timelines.
Utilize reference commercial building epJSON files and historical extreme heat weather data formatted for EnergyPlus. Starter examples below are synthetic. They are not downloaded records.
EnergyPlus Executes EnergyPlus thermal zone simulations to compute hourly operative temperature drift during mechanical cooling failures.
pydantic-ai, pandas, numpy. Enforces strict structured validation on thermal thresholds, evacuation logic, and zone occupancy data. Fast cloud LLM with strong mathematical and structured reasoning capabilities.
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.
Executes EnergyPlus simulations with HVAC systems disabled to accurately model passive thermal drift.
Flags any thermal zone mathematically exceeding the 30 degrees Celsius safety threshold during the specified outage window.
Generates a structured occupancy relocation plan prioritizing zones with the fastest thermal limit breaches.
```json [ { "input": { "building_id": "BLDG-OFFICE-12", "initial_zone_temp_c": { "Zone_South": 24, "Zone_Core": 22 }, "hourly_drift_c": { "Zone_South": 3.5, "Zone_Core": 1 }, "outage_duration_hours": 2, "occupancy": { "Zone_South": 45, "Zone_Core": 120 } }, "expected_output": { "peak_temps_c": { "Zone_South": 31, "Zone_Core": 24 }, "evacuation_required": [ "Zone_South" ], "relocation_target": "Zone_Core", "record_type": "Simplified synthetic app record for testing" } }, { "input": { "building_id": "BLDG-RETAIL-04", "initial_zone_temp_c": { "Main_Floor": 23 }, "hourly_drift_c": { "Main_Floor": 1.5 }, "outage_duration_hours": 4, "occupancy": { "Main_Floor": 300 } }, "expected_output": { "peak_temps_c": { "Main_Floor": 29 }, "evacuation_required": [], "relocation_target": "None", "record_type": "Simplified synthetic app record for testing" } } ] ```
Recommends evacuation plans that must be reviewed by facility managers and emergency response personnel before execution. Use mock external writes. Require human review before any real deployment.
Participation guide
Recommends evacuation plans that must be reviewed by facility managers and emergency response personnel before execution. Use mock external writes and human review.
How work is evaluated
Executes EnergyPlus simulations with HVAC systems disabled to accurately model passive thermal drift. Flags any thermal zone mathematically exceeding the 30 degrees Celsius safety threshold during the specified outage window. Generates a structured occupancy relocation plan prioritizing zones with the fastest thermal limit breaches.
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
Ingest building epJSON models, utility outage timeframes, and extreme heat weather files formatted for EnergyPlus. Simulate indoor thermal drift across zones using EnergyPlus with active HVAC cooling systems disabled. Identify specific thermal zones exceeding safe human occupancy thresholds, strictly defined as 30 degrees Celsius. Generate a prioritized evacuation and temporary cooling center routing plan for human review.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Executes EnergyPlus simulations with HVAC systems disabled to accurately model passive thermal drift. Flags any thermal zone mathematically exceeding the 30 degrees Celsius safety threshold during the specified outage window. Generates a structured occupancy relocation plan prioritizing zones with the fastest thermal limit breaches.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Thermal drift dashboard mapping building zones against simulated operative temperatures and required evacuation timelines.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Recommends evacuation plans that must be reviewed by facility managers and emergency response personnel before execution.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest building epJSON models, utility outage timeframes, and extreme heat weather files formatted for EnergyPlus.
Simulate indoor thermal drift across zones using EnergyPlus with active HVAC cooling systems disabled.
Identify specific thermal zones exceeding safe human occupancy thresholds, strictly defined as 30 degrees Celsius.
Generate a prioritized evacuation and temporary cooling center routing plan for human review.
Reference links and supporting material
Utilize reference commercial building epJSON files and historical extreme heat weather data formatted for EnergyPlus. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Pydantic AI
Typed Python agent framework.
Evaluated output
No output checks are configured.
- Ingest building epJSON models, utility outage timeframes, and extreme heat weather files formatted for Ener...
- Executes EnergyPlus simulations with HVAC systems disabled to accurately model passive thermal drift. Flags...
- Thermal drift dashboard mapping building zones against simulated operative temperatures and required evacua...
- 2 public reference cases
- 2 configured tools
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
- Pydantic AI · Optional
- Pydantic AI · 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
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