Turning Plant Data into Action: The Key Indicators That Reveal Hidden Performance
Modern treatment plants have SCADA systems and lab results generate vast amounts of information every day, but without structured analysis, critical insights remain buried. The result? Plants that appear to be operating “fine” while quietly losing capacity, efficiency, and resilience. The data unused.
The water industry is facing many challenges. The cost of energy to operate plants is increasing, capital investments are becoming more difficult to sign off and there is a shortage of technical experienced operational staff in the industry. These challenges create a great opportunity to use applied data analytics to unlock valuable insights from the unused stores of operational data.
Its possible to reduce operational costs, increase process stability and unlock unused capacity by undertaking a focussed data diagnostic.
Using existing operational and laboratory data, it’s possible to quickly identify where a plant is underperforming, where risk is building, and where untapped opportunity exists, often without any capital investment.
Below are the key areas Promethean typically investigate for a treatment plant, the indicators we look for, and what they insight they could reveal. Every plant is different and approaches will be tailored to the application.
Most plants are not limited by design, they are limited by how they are operated.
Most treatment plants are not short of operational data. They are short of clarity and actionable insights.
A data diagnostic of your plant by Promethean can provide that.
1. Process Performance
Is the plant actually working as intended?
At its core, this is about truth versus assumption. Many plants meet compliance most of the time, but that doesn’t mean the process is stable or optimal.
Key Indicators
Influent vs effluent quality trends (e.g BOD, COD, TSS, NH₃, TP).
Removal efficiency (%) across each treatment stage.
Variability and standard deviation of effluent quality.
Frequency of near limit or “borderline” compliance results.
Shock load response and recovery time.
What This Reveals
Under treatment: Incomplete removal, risk of future non compliance.
Over treatment: Excess chemical or energy use beyond what’s required.
Instability: Oscillating performance indicating control or process issues.
Hidden compliance risk: Plants that pass, but only just.
2. Capacity & Loading
Are assets being fully utilised?
Most plants are not limited by design capacity, they are limited by how that capacity is used.
Key Indicators
Flow distribution across parallel treatment trains.
Hydraulic vs biological loading rates.
Peak vs average loading profiles.
Unit by unit throughput comparison.
Diurnal and seasonal loading patterns.
What This Reveals
Over reliance on specific assets: Certain tanks or trains doing all the work.
Idle capacity: Infrastructure that is rarely or never used.
Bottlenecks: Localised constraints limiting overall plant throughput.
Hidden capacity: Opportunity to increase flow without CAPEX.
3. Asset Utilisation
How effectively are plant assets being used?
Even when capacity exists, poor utilisation patterns can reduce resilience and shorten asset life.
Key Indicators
Duty/standby rotation frequency.
Runtime distribution across pumps, blowers, and key equipment.
Start/stop frequency and cycling behaviour.
Equipment availability vs actual use.
Maintenance patterns vs operational demand.
What This Reveals
Uneven wear: Some assets overworked while others sit idle.
Reduced resilience: Standby equipment not truly “ready”.
Operational inefficiency: Manual or legacy operating strategies.
Opportunities to rebalance: Extend asset life and improve reliability.
4. Process Efficiency
Where is energy or performance being lost?
Energy is often one of the largest operating costs and one of the least interrogated.
Key Indicators
Energy intensity (kWh/m³ treated, kWh/kg pollutant removed).
Aeration system performance vs oxygen demand.
Pumping efficiency vs flow and head conditions.
Correlation between energy use and process outcomes.
Baseline vs actual performance benchmarking.
What This Reveals
Energy waste: Systems running harder than necessary.
Mismatch with demand: Aeration or pumping not aligned with process needs.
Control inefficiencies: Poorly tuned systems driving excess consumption.
Immediate cost savings: Often achievable without physical upgrades.
Typical Outcomes from a Data Diagnostic
Individually, these indicators are useful. Together, they tell a story. A plant that is stable but inefficient. A plant that is compliant but at risk. A plant constrained not by design, but by operation.
The goal is not just to diagnose problems, but to identify practical, low cost interventions:
Rebalancing flows across assets.
Adjusting control strategies.
Unlocking latent capacity.
Reducing energy consumption.
All using data you already have to provide:
Reduction in energy use age / chemical usage.
Increased throughput without significant capital investment.
Improved process stability and reduced operator intervention.
Greater confidence in compliance performance.
Visit our case studies to learn more about real world applications.
From Data to Decisions
Our approach is structured but pragmatic, using available plant data to build a reliable understanding of performance using a three stage approach. We review with you the key findings resulting from each stage and paths forward before moving to the next:
Phase 1 - What happened or is happening?
Data Review → Analysis → Findings
Establish a clean operational baseline from available data.
Identify leading indicators of instability and inefficiency.
Diagnose root causes across process, control, and infrastructure.
Phase 2 - What can we do?
→ Recommendations
Quantify performance improvement opportunities.
Phase 3 -What are we doing and how do the improvements compare to the baseline?
→Implementation → Monitoring
Support implementation of targeted operational changes.
Review of their impact against the initial baseline performance.
We do not rely on generic optimisation models and every analysis is grounded in the actual behaviour of your system.
Start with Your Data
Before jumping to capital upgrades, new technology, or expansion studies, there is a simpler question:
Are you getting everything you can from the plant you already own?
At Promethean Engineering, we offer a focused Plant Data Diagnostic. A short, targeted review using your existing SCADA and lab data to identify:
Hidden capacity
Performance instability
Energy inefficiencies
Operational risks
No new systems. No disruption. Just insight.
If you want to understand what your plant is really doing and what it could be doing get in touch.
