Central Plant Simulation Software

Chilled Water Plant Services, Drawn from One Digital Twin

A calibrated digital twin of your central plant. Used first to cut 5–35% of its energy through the BMS you already own, then to answer every question about that plant that used to take a design day and a guess.

CALIBRATED TWINCT-1CT-2CT-3CONDENSER WATERChiller 1Chiller 2Chiller 3kWr, kWkWr, kWkWr, kWCHILLED WATERFIELD DEMAND, kWr1Physics engine2Machine learning3Predictive control4M&V baselineWET BULB, °C
5–35%
less chilled water plant energy. Published engagements sit between 5.3% and 33.4%, each measured to IPMVP Option B.
10–15%
peak demand reduction, from staging on field demand rather than on chiller loading.
~18 mo
average payback. The full range across published sites is 6–24 months.
None
new hardware, new technicians or new software on site. Your incumbent controls contractor implements.

The chilled water plant is the largest single load in most buildings

Chillers, pumps and cooling towers account for 25–50% of a commercial building’s electricity. Each machine has its own efficiency profile, and every profile depends on what the others are doing. The setpoint that is right for one chiller at one load and one wet-bulb temperature is wrong an hour later.

The plant is governed by thermodynamics, so there is an optimal way to run it. Finding that optimum across millions of combinations is a simulation problem, not a rule-of-thumb problem. That is what the software does, from the data the plant already logs.

How the calibrated digital twin works

One twin. Six services drawn from it.

Controls optimisation is where most engagements start and where the savings come from. The same calibrated models then answer the questions a plant has never been run to answer: what a runtime target costs in energy, which chiller to buy, what a central plant should be sized to, and what the emissions look like over twenty years.

Where most engagements start

Each option includes the one before it. The Feasibility Study is credited in full against any option purchased within 90 days.

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

Option
Includes
Feasibility Study
Desktop forecast from the plant’s own BMS data.
Data ingestion, normalisation and plant digitisation. Data gap analysis and plant health check report. Plant Potential: forecast savings by strategy, as a business case.
Dynamic Condenser Water Reset
The highest-payback single control.
Dynamic condenser water temperature reset strategy. Energy and mass balance. Plant Potential business case. Requires plant digitisation.
Staging Optimisation
The staging optimiser recommendations.
Chiller staging on field demand, sequencing and load balancing. Pump and fan modulation. Plant Potential business case.
Full Optimisation
The complete recommendation set, verified.
All of the above, plus dynamic condenser water loop reset. What-if analyser: simulation engine for equipment replacement and fault fallback. First-year Measurement and Verification at month 12, IPMVP Option B.
Measurement and Verification
Standalone, or each year after the first.
Twelve months of metered energy against the adjusted baseline. IPMVP Option B, Retrofit Isolation, suitable for utility submission.
Every optimisation option includes
Haystack-normalised points, plant metadata centralisation, building load profiles, weather profiles, equipment performance models, a plant energy baseline model, mechanical performance baselining and a functional description for the BMS contractor.

Retrofit Analysis, Trade-Off Simulation, Central Plant Design and Lifetime Emissions are scoped from the same calibrated model and quoted per study. Continuous optimisation is available as an annual subscription.

Value at every stage of data access

A plant with a basic BMS and no trending can still be optimised. Each stage is a complete engagement: we model the plant from whatever exists today, deploy strategies the BMS can run now, and define exactly what to capture next. Targets are cumulative, for total chilled water plant energy.

Stage 1
5–10%

Site walk

No trend data, no documents. One structured survey of the plant room: nameplates, pumps, towers, piping. A like-for-like model matched from thousands of chillers already on the platform.

Unlocks dynamic condenser water temperature reset.
Stage 2
10–15%

Documentation

Still no trending, but the paperwork survives: functional descriptions, O&M manuals, as-builts and OEM part-load data. The model matches your actual machines.

Adds condenser water flow reset and chilled water temperature reset.
Stage 3
15–20%

Load profile

The thermal side is trended: temperatures and flow or chiller load. Enough history to build the cooling load profile and stage against the real load.

Adds chiller sequencing and staging optimisation.
Stage 4
20–25%

Full trends

Thermal and electrical sides trended for six months or more, chiller power above all. A calibrated twin, an energy baseline, and savings verified rather than estimated.

The full package, with independently verified M&V.

Earlier stages are simulation-based estimates; only the final stage is independently verified.

Twelve months from data to verified savings

All Exergenics work is remote. Implementation of control changes is by your incumbent BMS contractor, outside normal hours, with every existing safety and interlock retained.

When
Step
What happens
Weeks 1–2
Data and documentation
Historical trend data via API, historian export or flat file. Functional descriptions, as-builts and OEM selections.
Weeks 3–4
Processing and review
Data gap analysis, energy and mass balance, plant health check. Points normalised and the plant digitised.
Weeks 5–10
Calibration and strategy
Model calibrated to ASHRAE Guideline 14. Optimised strategy simulated and its savings forecast. A workshop with your site team and contractor confirms the strategy is the right fit before anything is written.
Implementation
Setpoint update
A functional description in industry-standard format, implemented by the incumbent contractor. Remote witnessing confirms the plant is running the strategy as written.
Week 52
Measurement and verification
Twelve months of metered energy against the adjusted baseline, to IPMVP Option B. Suitable for reporting and utility submission.
Ongoing
Continuous commissioning
Model tuning as the plant and its use change. Drift flagged remotely. Savings verified against the baseline every year.

The Exergenics way vs. the old way

Exergenics
Legacy optimisation
Hardware
None. Software only, air-gapped.
New controller or gateway required, IT review and approvals.
Savings
Accurately forecast before implementation using your own data, then verified at month 12.
Unknown until after implementation.
Time to value
Setup in about a month. The model is trained on your historical trend data before deployment, so you save from day one.
60–90 days of on-site learning before it does anything useful, or 6–12 months of engineering hours.
People
Your incumbent contractor implements. No new technicians or software to learn.
New technician or engineer required to run and maintain it.
Transparency
Readable setpoint logic in your BMS. The strategy is yours to own.
The strategy leaves the building with the black box.
Verification
M&V to IPMVP Option B, included as standard.
Third-party billable, if done at all.
Cost
Priced per kWr of plant capacity. Average payback around 18 months. Less than 12 months with utility incentives.
High capex for hardware and installation, high opex for the people to run it.

Six sites, up to 33.4%, each measured to IPMVP Option B

Verified reduction against a weather and load adjusted baseline. Further client names available on request.

Read the case studies
Site
Scale
Plant energy
Annual saving
Carbon, p.a.
Sydney Airport, Terminal 1
International terminal. Plant already at 0.56 kW/ton before optimisation
33.4%
1,742 MWh
1,377 tCO₂e
University research facility, US Northeast
800 TR research and laboratory plant. Commissioned June 2026, M&V August 2026
14.0%
80,832 kWh
29.3 tCO₂e
Hotel and casino, Australia
658 rooms, 5,600 TR plant. Deployed June 2022, M&V June 2023
12.3%
A$105,160
561 tCO₂e
Office tower, Sydney
51,034 sqm, 2,126 TR. Began March 2023, M&V March 2024
10.4%
A$23,680
118.4 tCO₂e
Stadium, Los Angeles
70,240 seats
7.2%
–
98 tCO₂e
Hospital, Queensland
No disruption to clinical areas
6.8%
A$58,200
–

Recognition: CIBSE Building Performance Awards 2026, shortlisted, Product or Innovation of the Year, Building Performance Evaluation. CIBSE Building Performance Awards 2025, Best Digital Innovation, Project Delivery. AIRAH Awards 2024, Excellence in Innovation and Excellence in Sustainability.

Who we work with

Talk to our team
Building owners
Facility managers
Mechanical engineers
Consulting engineers
BMS providers
FDD platforms
Data warehousing
Digital twin providers

Frequently asked questions

How much energy can chiller plant optimisation save?

Up to 35% of chilled water plant energy. Published sites range from 5.3% to 33.4%, each verified to IPMVP Option B against a weather and load adjusted baseline.

Do we need new hardware or a new controller?

No. The work is software only that is programmed natively into the BMS and is air-gapped. Nothing is installed: servers, controllers, sensors and the BMS itself all stay as they are.

Who implements the strategy?

Your internal controls technician or incumbent BMS contractor, in the existing BMS, with every safety and interlock retained. Exergenics witnesses remotely and does not write to the BMS.

Do our existing safeties and min/max limits stay in place after deployment?

Yes. Every safety interlock, constraint, minimum and maximum limit, and rate-of-change safety parameter remains in place. Optimised setpoints work inside those limits, never around them.

What data do you need to start?

Using historical telemetry data, strategies can be produced with as little as a few months of data. In an ideal case, twelve months enables Exergenics to confidently produce a strategy that is fully optimised year round. Historic temperature, pressure, energy and flow rate data at 5 or 15 minute intervals from the chillers, pumps and towers is all that is required, though optimised strategies can be produced with even a subset of these data.

What if we already have an FDD platform or data lake?

That makes it easier. In many cases clients simply provide Exergenics read-only access and we pull the data ourselves, with zero effort required from the site team.

Can you optimise a plant with no trend data?

Yes. A plant with a basic BMS and no trending can still be optimised. A site walk alone unlocks dynamic condenser water temperature reset. Earlier stages are simulation-based estimates. For greenfield sites, Exergenics can produce an optimised strategy simply utilising design documentation and projected load profiles.

How long does it take, and what is the payback?

Setup takes about a month, with the calibrated twin in weeks 6–10 and savings verified at month 12. Average payback is around 18 months, with a 6–24 month range across published sites. With utility incentives it is generally under 12 months.

Does the technology qualify for utility incentives?

Yes, depending on the country and region. In the US, many sites qualify for utility programs, and with incentives the payback is often under 12 months. Exergenics handles all the paperwork and M&V submissions.

Can the recommendations be deployed in a modular or phased approach?

Yes. Every recommendation comes from one calibrated model of the plant, broken into modules that are each independently useful and independently verified. A site can adopt one, prove it, and decide the next step from its own data. Each phase is verified before the next is deployed. Later phases reuse the model and data already in place, so each one reaches savings faster than the first.

Is the strategy a black box?

No. Setpoints are published as readable logic in a site-specific functional description. The strategy is yours to keep.

How is it priced?

Per kilowatt of refrigeration (kWr) of installed plant capacity. The Feasibility Study is credited in full against any option purchased within 90 days. Request a price list

What if the twin does not match our plant?

The twin is proven against the plant’s own data to ASHRAE Guideline 14, or calibration fees are refunded in full.

Start with a Feasibility Study

A desktop forecast from your plant’s own BMS data. Credited in full against any option purchased within 90 days.

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

What you get

Data ingestion, normalisation and plant digitisation
Data gap analysis and plant health check report
Plant Potential: forecast savings by strategy, as a business case