Build a Treated Sewage Effluent District Cooling Make-Up Water Allocator
Evaluate treated sewage effluent availability against industrial district cooling tower evaporative losses and municipal irrigation constraints. Allocate secondary water volumes while enforcing fictional salinity and storage buffer rules.
What you are building
The core problem, expected build, and operating context for this challenge.
Evaluate treated sewage effluent availability against industrial district cooling tower evaporative losses and municipal irrigation constraints. Allocate secondary water volumes while enforcing fictional salinity and storage buffer rules.
District cooling utility water systems engineer
Ingest daily treated effluent inflows, cooling tower evaporative demands, and irrigation demand logs.
Model dynamic salinity accumulation and evaporative concentration across wet cooling towers using WaterTAP mass balance concepts.
Solve hourly allocation schedules under storage tank reserve limits and total dissolved solids constraints.
Export an operational water dispatch plan and flag unfulfilled volumes for potable water blending review.
A web dashboard displaying hourly storage levels, effluent distribution shares, salinity curves, and interactive allocation overrides.
Generate synthetic hourly time-series JSON files simulating 7-day cycles of sewage treatment plant outflow, cooling tower loads, and landscaping quotas. Starter examples below are synthetic. They are not downloaded records.
WaterTAP treatment modeling Applies flowsheet water mass-balance and dissolved solids concentration equations modeled after WaterTAP desalination and treatment flowsheet principles.
pydantic-ai, fastapi, numpy. Enforces strict type safety and schema validation across numeric flow rates, concentration limits, and multi-consumer allocation vectors. Local or hosted LLM with function-calling capabilities for constraint extraction and tabular water allocation summaries.
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.
Rejects allocation schedules that exceed maximum storage tank capacity or drop below 15% emergency reserve buffer.
Maintains cooling tower circulating water total dissolved solids below 2,200 mg/L by triggering potable make-up blending.
Outputs complete 24-hour balance reports where inflow equals consumption, storage delta, and blowdown discharge within 0.1% tolerance.
```json [ { "input": { "effluent_inflow_m3": 12000, "cooling_demand_m3": 7500, "irrigation_demand_m3": 3500, "tank_initial_m3": 2000, "max_tank_m3": 5000, "effluent_tds_mg_l": 650 }, "expected_output": { "allocated_cooling_m3": 7500, "allocated_irrigation_m3": 3500, "tank_final_m3": 3000, "potable_blend_m3": 0, "status": "balanced" } }, { "input": { "effluent_inflow_m3": 4000, "cooling_demand_m3": 6000, "irrigation_demand_m3": 2000, "tank_initial_m3": 1000, "max_tank_m3": 5000, "effluent_tds_mg_l": 900 }, "expected_output": { "allocated_cooling_m3": 4500, "allocated_irrigation_m3": 0, "tank_final_m3": 500, "potable_blend_m3": 1500, "status": "deficit_blended" } } ] ```
Simulation and scheduling tool only. Never directly actuate motorized valves or alter chemical dosing pumps in physical water facilities. Use mock external writes. Require human review before any real deployment.
Participation guide
Simulation and scheduling tool only. Never directly actuate motorized valves or alter chemical dosing pumps in physical water facilities. Use mock external writes and human review.
How work is evaluated
Rejects allocation schedules that exceed maximum storage tank capacity or drop below 15% emergency reserve buffer. Maintains cooling tower circulating water total dissolved solids below 2,200 mg/L by triggering potable make-up blending. Outputs complete 24-hour balance reports where inflow equals consumption, storage delta, and blowdown discharge within 0.1% tolerance.
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 daily treated effluent inflows, cooling tower evaporative demands, and irrigation demand logs. Model dynamic salinity accumulation and evaporative concentration across wet cooling towers using WaterTAP mass balance concepts. Solve hourly allocation schedules under storage tank reserve limits and total dissolved solids constraints. Export an operational water dispatch plan and flag unfulfilled volumes for potable water blending review.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Rejects allocation schedules that exceed maximum storage tank capacity or drop below 15% emergency reserve buffer. Maintains cooling tower circulating water total dissolved solids below 2,200 mg/L by triggering potable make-up blending. Outputs complete 24-hour balance reports where inflow equals consumption, storage delta, and blowdown discharge within 0.1% tolerance.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
A web dashboard displaying hourly storage levels, effluent distribution shares, salinity curves, and interactive allocation overrides.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Simulation and scheduling tool only. Never directly actuate motorized valves or alter chemical dosing pumps in physical water facilities.
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 daily treated effluent inflows, cooling tower evaporative demands, and irrigation demand logs.
Model dynamic salinity accumulation and evaporative concentration across wet cooling towers using WaterTAP mass balance concepts.
Solve hourly allocation schedules under storage tank reserve limits and total dissolved solids constraints.
Export an operational water dispatch plan and flag unfulfilled volumes for potable water blending review.
Reference links and supporting material
Generate synthetic hourly time-series JSON files simulating 7-day cycles of sewage treatment plant outflow, cooling tower loads, and landscaping quotas. 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 daily treated effluent inflows, cooling tower evaporative demands, and irrigation demand logs. Model...
- Rejects allocation schedules that exceed maximum storage tank capacity or drop below 15% emergency reserve...
- A web dashboard displaying hourly storage levels, effluent distribution shares, salinity curves, and intera...
- 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.
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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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