Build an EnergyPlus HVAC Schedule Retrofit Planner
Ingest baseline commercial building EnergyPlus epJSON models and adjust occupancy and HVAC availability schedules. Calculate equivalent operational hour reductions to decrease peak cooling demand.
What you are building
The core problem, expected build, and operating context for this challenge.
Ingest baseline commercial building EnergyPlus epJSON models and adjust occupancy and HVAC availability schedules. Calculate equivalent operational hour reductions to decrease peak cooling demand.
Building Energy Consultant
Parse baseline epJSON EnergyPlus models to extract Schedule:Compact and Schedule:Day:Interval objects.
Formulate retrofit occupancy schedules reflecting hybrid work occupancy patterns.
Synthesize revised epJSON schedule objects with matching hourly fractional multipliers.
Simulate operational schedule changes and output thermal comfort boundary checks.
Schedule visualizer showing 24-hour profile comparison between baseline and proposed epJSON retrofit.
Create synthetic epJSON schedule snippets covering weekday and weekend Schedule:Compact blocks. Starter examples below are synthetic. They are not downloaded records.
EnergyPlus Utilizes EnergyPlus epJSON input schema conventions for Schedule:Compact and Schedule:Day:Interval objects.
dspy, jsonschema, python. DSPy compiles robust prompt pipelines to transform variable operational requirements into valid epJSON schedule syntax. Instruction-tuned LLM capable of complex JSON generation without syntax truncation.
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.
Schedule fractional multipliers remain bounded between 0.0 and 1.0 inclusive.
Modified schedules produce valid epJSON Schedule:Compact schema blocks.
Weekly operating hours reduction metric is computed accurately.
```json [ { "input": { "zone": "Office_Zone_A", "baseline_daily_hours": 14, "target_mode": "Hybrid_Workplace", "schedule_name": "Office_HVAC_Avail" }, "expected_output": { "schedule_name": "Office_HVAC_Avail", "proposed_daily_hours": 9.5, "weekly_hours_saved": 22.5, "epjson_valid": true, "action": "UPDATE_EPJSON" } }, { "input": { "zone": "Data_Center_Zone", "baseline_daily_hours": 24, "target_mode": "Hybrid_Workplace", "schedule_name": "IT_Cooling_Avail" }, "expected_output": { "schedule_name": "IT_Cooling_Avail", "proposed_daily_hours": 24, "weekly_hours_saved": 0, "epjson_valid": true, "action": "PRESERVE_CRITICAL_SCHEDULE" } } ] ```
Simulation parameter generator only; changes must be reviewed by professional HVAC engineers before physical BMS deployment. Use mock external writes. Require human review before any real deployment.
Participation guide
Simulation parameter generator only; changes must be reviewed by professional HVAC engineers before physical BMS deployment. Use mock external writes and human review.
How work is evaluated
Schedule fractional multipliers remain bounded between 0.0 and 1.0 inclusive. Modified schedules produce valid epJSON Schedule:Compact schema blocks. Weekly operating hours reduction metric is computed accurately.
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 epJSON EnergyPlus models to extract Schedule:Compact and Schedule:Day:Interval objects. Formulate retrofit occupancy schedules reflecting hybrid work occupancy patterns. Synthesize revised epJSON schedule objects with matching hourly fractional multipliers. Simulate operational schedule changes and output thermal comfort boundary checks.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Schedule fractional multipliers remain bounded between 0.0 and 1.0 inclusive. Modified schedules produce valid epJSON Schedule:Compact schema blocks. Weekly operating hours reduction metric is computed accurately.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Schedule visualizer showing 24-hour profile comparison between baseline and proposed epJSON retrofit.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Simulation parameter generator only; changes must be reviewed by professional HVAC engineers before physical BMS deployment.
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 epJSON EnergyPlus models to extract Schedule:Compact and Schedule:Day:Interval objects.
Formulate retrofit occupancy schedules reflecting hybrid work occupancy patterns.
Synthesize revised epJSON schedule objects with matching hourly fractional multipliers.
Simulate operational schedule changes and output thermal comfort boundary checks.
Reference links and supporting material
Create synthetic epJSON schedule snippets covering weekday and weekend Schedule:Compact blocks. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
DSPy
Prompt and LM program optimization framework.
Evaluated output
No output checks are configured.
- Parse baseline epJSON EnergyPlus models to extract Schedule:Compact and Schedule:Day:Interval objects. Form...
- Schedule fractional multipliers remain bounded between 0.0 and 1.0 inclusive. Modified schedules produce va...
- Schedule visualizer showing 24-hour profile comparison between baseline and proposed epJSON retrofit.
- 2 public reference cases
- 3 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
- DSPy · Optional
- DSPy · Optional
- DSPy · 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.