Services / Central Plant Design

Simulation study, priced per study

Central Plant Design, Sized on Measured Hours, Not a Design Day

Right-sizing from measured hours, not a design day. Coincident heating and cooling, heat recovery, storage and electrification solved as one optimisation problem.

CALIBRATED TWINCT-1CT-2CT-3CONDENSER WATERChiller 1Chiller 2Chiller 3kWr, kWkWr, kWkWr, kWCHILLED WATERFIELD DEMAND, kWr1Physics engine2Machine learning3Predictive control4M&V baselineWET BULB, °C
3
load profiles, annual, seasonal and daily, built from data the site already logs.
4
measures compared for every option: capex, lifecycle cost, energy and emissions.
1 problem
Coincident heating and cooling, heat recovery, storage and electrification, solved together.
OEM data
Detailed designs iterated with OEM part-load data, then Monte Carlo on energy price, load, carbon price and refrigerant.
Answers
What a central plant should be sized to
Inputs
The data the site already logs
Compares
Capex, lifecycle cost, energy and emissions
Priced
Per study, scoped from the same model
On this page
Why measured hoursHow a design study runsOne optimisation problemFAQ

Why size on measured hours

The same calibrated models that optimise a plant’s controls can answer what a central plant should be sized to. Instead of a single design day, the load profile is built from the hours the site has actually logged, with coincident heating and cooling load by season.

That answers a question that used to take a design day and a guess.

How a design study runs

1

Load profiles from the data you already log

Annual, seasonal and daily heating and cooling load profiles from the data the site already logs, with coincident load by season.

2

Options simulated in batch

Capacity, supply temperature, storage, water-source and air-source options, compared for capex, lifecycle cost, energy and emissions.

3

Detailed design simulation

Staging, storage charge and discharge, cascading and heat recovery configurations, iterated with OEM part-load data.

4

Risk on the final designs

Monte Carlo on energy price, load, carbon price and refrigerant choice.

Heating, cooling, storage and electrification as one problem

Coincident heating and cooling, heat recovery, storage and electrification are treated as one optimisation problem rather than sized one system at a time. Each final design carries its lifecycle cost and emissions, with the uncertainty shown. For whole-of-life carbon across scenarios, pair the study with Lifetime Emissions.

Frequently asked questions

Why not size to a design day?

Because the site already logs its real hours. Load profiles are built from that data, with coincident heating and cooling load by season, so the plant is sized to measured demand.

Does the study cover electrification and heat recovery?

Yes. Coincident heating and cooling, heat recovery, storage and electrification are solved as one optimisation problem, with water-source and air-source options compared.

How is it priced?

Per study, scoped from the same calibrated model. Contact us to scope one.

Related services

Start with a Feasibility Study

A desktop forecast from your plant’s own BMS data: data gap analysis, a plant health check and a Plant Potential business case. Credited in full against any option purchased within 90 days.

Priced per kilowatt of refrigeration (kWr) of installed plant capacity. Request a price list