Which energy strategy fits your plant?
Energy is one of the largest controllable costs at a treatment plant. Three routes lower it. Each saves in a different way and changes operations differently. Every route uses the same validated, plant-specific simulation. Only the price signal changes.
Load that varies is load that can be shifted
A treatment plant’s electricity use follows the flow of wastewater into the plant, which varies across each day and with the weather. Pumping, blower control, biogas and cogeneration, solar PV and battery, and dewatering with sludge storage all offer some timing flexibility, depending on your plant: see what that looks like at a WWTP for the detail. That variability is what all three routes act on.
Three options. One simulation. Different commercial implications.
Every route is quantified with the same plant model. The differences are where the saving comes from and whether your risk position changes.
01 Tariff Optimisation
Savings from: existing contract
Changes: operating pattern within same tariff
Risk: no change to exposure
Use when: you want savings without new risk
02 Alternate Tariffs
Savings from: a new retail offer
Changes: tariff structure you pay under
Risk: set by new contract terms
Use when: you are comparing offers at renewal
03 Demand Response
Savings from: wholesale spot price
Changes: load moved to spot market
Risk: you take on price volatility
Use when: you have appetite for spot
Only route that changes exposure. Shown in simulation first.
Need to test new assets as well?
Any of the three routes can be extended into a CAPEX Business Case Assessment. It tests whether pumps, blowers, storage, solar PV, batteries, digestion or cogeneration would strengthen the case. Assessed in the same model, as one coordinated system.
The plant assessment is the common first step
Under every route the first step is the same: an assessment of your plant, then a simulation configured to your actual process: how your tanks, pumps and blowers behave, and what capacity can be shifted within constraints that protect treatment. It is not a plug-and-play model from another plant. It is not a rebuild from scratch. It starts from proven process fundamentals and is validated against your data.