Build a District Cooling Plant Maintenance Outage Scheduler

Evaluate planned chiller overhauls against district cooling customer contracts and ambient weather loads. Synthesize outage sequence plans that preserve minimum customer delta-T and chilling tonnage.

District cooling operational dispatchers and chilled water network coordinators

Ingest scheduled chiller maintenance requests and customer contracted refrigeration tonnage limits.

Model cooling demand profiles using EnergyPlus epJSON chiller objects and ambient wet-bulb predictions.

Synthesize customer chilled water outage allocations to avoid critical pressure or cooling loss.

Compile an operations outage plan and dispatch notice for customer engineering review.

Multi-pane dashboard displaying plant chiller staging, customer delivery pressure profiles, and maintenance sign-off approvals.

Use open-source synthetic normalized district cooling network logs with EnergyPlus epJSON HVAC templates stored in a GitHub mock repository. Starter examples below are synthetic. They are not downloaded records.

EnergyPlus Extracts chiller plant modeling schemas and input object conventions from the EnergyPlus epJSON schema repository.

anthropic-claude, pydantic-ai, mlflow. anthropic-claude provides hosted structured analysis and bilingual notification drafts without running untrusted local model instances. Hosted Claude API for structured schema parsing, constraint reasoning, and operations report drafting.

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.

Validates chiller maintenance windows against total peak customer cooling load demand.

Flags violations where scheduled outages exceed available thermal energy storage buffer capacity.

Produces structured JSON outage schedules including bilingual English-Arabic customer advisory drafts.

Requires explicit human engineer confirmation before publishing simulated network dispatch actions.

```json [ { "input": { "chiller_id": "CH-01", "capacity_tonnage": 2500, "maintenance_window_hours": 8, "ambient_wet_bulb_c": 31.5, "connected_customers": [ { "customer_id": "CUST-TWR-A", "demand_tonnage": 1800, "critical_facility": false } ], "storage_ton_hours": 12000 }, "expected_output": { "feasible": true, "backup_chiller": "CH-02", "storage_draw_tonnage": 600, "unmet_load_tonnage": 0, "customer_advisories": [ { "customer_id": "CUST-TWR-A", "flow_derate_pct": 0, "advisory_en": "Scheduled maintenance CH-01 mitigated by thermal storage.", "advisory_ar": "صيانة مجدولة للمبرد CH-01 مغطاة بالتخزين الحراري." } ] } }, { "input": { "chiller_id": "CH-02", "capacity_tonnage": 3000, "maintenance_window_hours": 12, "ambient_wet_bulb_c": 34, "connected_customers": [ { "customer_id": "CUST-HOSPITAL", "demand_tonnage": 2800, "critical_facility": true } ], "storage_ton_hours": 2000 }, "expected_output": { "feasible": false, "backup_chiller": null, "storage_draw_tonnage": 2000, "unmet_load_tonnage": 800, "customer_advisories": [ { "customer_id": "CUST-HOSPITAL", "flow_derate_pct": 28.57, "advisory_en": "Outage rejected: Critical deficit of 800 tons for hospital client.", "advisory_ar": "تم رفض الإيقاف: عجز حرج قدره 800 طن تبريد للمستشفى." } ] } } ] ```

Simulates dispatch actions only; requires manual validation by licensed mechanical engineers before actual valve operations. Use mock external writes. Require human review before any real deployment.