Build a Desalination Chemical Inventory and Treatment Scenario Evaluator

Assess antiscalant and coagulant dosage scenarios across seawater reverse osmosis trains. Compare operational chemical consumption against water recovery targets and regulatory discharge limits.

Seawater reverse osmosis process engineers and water treatment plant operators

Ingest raw seawater salinity, turbidity metrics, and high-pressure reverse osmosis membrane runtimes.

Model chemical dosage rates and membrane scaling risk using WaterTAP treatment flowsheet principles.

Formulate multi-day chemical inventory depletion forecasts under varying recovery rate scenarios.

Export an inventory reorder and dosing recommendation dossier for chemical superintendent review.

Chemical dosing scenario workspace with slider controls for target water recovery and inventory runout warning cards.

Utilize WaterTAP public desalination flowsheet examples and mock SWRO operational logs hosted on a local repo. These logs are simplified synthetic app records, not complete official schema files. Starter examples below are synthetic. They are not downloaded records.

WaterTAP treatment modeling Applies reverse osmosis membrane and water treatment flowsheet parameters derived from the WaterTAP repository.

pydantic-ai, mlflow, watertap. pydantic-ai provides strict type validation for chemical stoichiometry and inventory threshold models. Hosted LLM API providing structured JSON validation and analytical scenario comparisons.

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.

Computes daily antiscalant consumption based on raw seawater feed flow and dosing setpoints.

Flags inventory exhaustion events when projected chemical stocks fall below the mandatory 5-day reserve.

Generates structured recovery comparison tables comparing standard and high-efficiency operating modes.

Requires chemical plant manager sign-off prior to modifying simulated bulk dosing pump settings.

```json [ { "input": { "feed_flow_m3_day": 50000, "feed_tds_ppm": 42000, "current_antiscalant_stock_kg": 4500, "target_recovery_pct": 45, "antiscalant_dose_ppm": 2.5 }, "expected_output": { "daily_chemical_use_kg": 125, "days_inventory_remaining": 36, "reserve_threshold_breached": false, "recommended_action": "Maintain current antiscalant dosing setpoint of 2.5 ppm." } }, { "input": { "feed_flow_m3_day": 75000, "feed_tds_ppm": 48000, "current_antiscalant_stock_kg": 400, "target_recovery_pct": 50, "antiscalant_dose_ppm": 4 }, "expected_output": { "daily_chemical_use_kg": 300, "days_inventory_remaining": 1.33, "reserve_threshold_breached": true, "recommended_action": "Emergency reorder: Inventory below 5-day safety margin; derate recovery to 40%." } } ] ```

Operational simulations only; automated dosing changes must be verified against water chemistry lab assays. Use mock external writes. Require human review before any real deployment.