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Operating cost per cubic metre: the items that actually move the number

A practical OPEX benchmark starts with a clean cost model, not with a single spreadsheet total. This article shows how to allocate energy, chemicals, labour, maintenance and sludge disposal per cubic metre treated, then rank the improvement actions that actually change the result.

2026-09-17 5 min read
Operating cost per cubic metre: the items that actually move the number

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OPEX benchmark at a glance

Label
Value
---
---
Benchmark basis
Cost per cubic metre treated, with a defined plant boundary and load profile
Main cost buckets
Energy, chemicals, maintenance, labour, sludge disposal, consumables
Most controllable drivers
Polymer demand, washing frequency, sludge dryness, runtime, idle losses
Typical benchmarking use
Compare like-for-like process trains and identify cost hotspots
Important caution
Small changes in influent quality can distort a simple €/m³ view

A useful OPEX benchmark does not begin with the invoice total. It begins with a system boundary. Decide first what “treated” means: raw influent to final effluent, equalised flow to discharge, or a specific treatment step such as tertiary filtration, dewatering, or flotation. Then assign every recurring cost to the same denominator, usually cubic metres treated over a month or a year.

The standard method is to separate costs into five groups. Energy includes pumps, mixers, blowers, drives, and control systems. Chemicals cover coagulants, flocculants, pH correction, cleaning agents, and antifoam where relevant. Maintenance includes wear parts, service contracts, lubrication, planned shutdown work, and corrective repairs. Labour covers operators, supervision, sampling, and routine cleaning. Sludge disposal includes transport, landfill or thermal treatment fees, water content penalties, and container handling.

To build the benchmark from first principles, use the following formula:

OPEX per m³ = (energy + chemicals + maintenance + labour + sludge disposal + consumables) / m³ treated

The next step is to split cost drivers into controllable and fixed. Controllable items respond to operating choices: polymer dose, chemical setpoint, wash-water use, runtime strategy, solids loading, cake dryness, and preventive maintenance discipline. Fixed or semi-fixed items include depreciation, minimum staffing, contract availability fees, and some inspection costs. The benchmark becomes meaningful when management can see which part can be improved within one budget cycle and which part requires a capital project or contract renegotiation.

For tertiary filtration, a realistic OPEX range is often about 0.03 to 0.20 EUR per m³ treated, depending on solids load, cloth or media type, backwash demand, and energy needs. Cloth-based tertiary filtration tends to sit in the lower to middle part of that range when the influent is stable and solids capture is efficient. The main cost drivers are pressure drop, solids loading, cleaning frequency, and the cost of downtime caused by fouling.

For dewatering, the benchmark is usually much more sensitive to sludge characteristics. A sensible planning range is about 2 to 12 EUR per tonne of dry solids processed, or roughly 0.10 to 0.80 EUR per m³ of feed sludge depending on solids content. Here, the decisive variable is not only the press itself, but the dryness achieved at discharge. Every additional percentage point of cake solids can reduce disposal cost materially. A screw-press often lowers labour intensity and power demand compared with more complex mechanical systems, but its advantage disappears if polymer selection or feed consistency is poor.

For flotation steps, especially when used for oil, grease, or light suspended solids, an indicative operating range is often 0.08 to 0.40 EUR per m³ treated. Energy for recirculation, air saturation, chemical conditioning, and skimming all matter, but the biggest swing factor is usually chemical efficiency. A polymer-preparation system that produces consistent dilution and mature solution can reduce overdosing and improve floc structure, which lowers both operating spend and downstream sludge volume.

Cost bucket Typical share of OPEX Main driver Controllable?

--- ---: --- ---

Energy 10–25% Runtime, headloss, pumping duty Partly

Chemicals 15–40% Dose, mixing quality, influent variability Yes

Maintenance 10–20% Wear, fouling, service strategy Partly

Labour 15–35% Staffing model, automation, cleaning time Partly

Sludge disposal 20–50% Cake dryness, solids capture, disposal route Yes

A single €/m³ figure can be misleading if the influent load changes sharply. A plant treating dilute flow and a plant treating concentrated flow may show similar unit costs while performing very differently in absolute spend, sludge generation, and treatment reliability.

How to build the benchmark in a defensible way

  1. 11. Define the plant boundary and the denominator: influent, treated water, or a sub-process.
  2. 22. Collect at least 3 to 12 months of data to smooth seasonal and loading effects.
  3. 33. Separate fixed costs from variable costs, and record the rule used for allocation.
  4. 44. Assign each cost to one bucket only; avoid double counting polymer, sludge handling, or shared utilities.
  5. 55. Normalize by cubic metres treated, and where useful also by kg of dry solids or kg COD removed.
  6. 66. Compare the result with process-specific ranges, not with unrelated plant types.
  7. 77. Rank the top three cost drivers by spend and controllability, then select actions with the fastest payback.
  8. 88. Recalculate after each change to verify whether the benchmark moved for the right reason.
Should OPEX be benchmarked per cubic metre or per load removed?+

Use both if possible. Cubic metres are useful for management reporting, while load-based metrics such as kg of dry solids removed can explain why one period looks expensive even when the flow is unchanged.

Why is sludge disposal often the largest swing factor?+

Because disposal cost depends on cake dryness, transport weight, and the chosen end route. Small improvements in dewatering can reduce both mass and volume, which compounds quickly.

What is the fastest way to improve a poor benchmark?+

Start with the highest-spend variable item. In many plants that means polymer optimisation, better polymer preparation, reduced wash losses, or improved solids capture before disposal.

Engineering Hub: get this sized for your plant

Describe your goal, effluent limit or sludge volume and receive a technology shortlist plus a sizing proposal – by email, no phone call required.

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