Identifying waste
We identify unnecessary running hours, conflicting operating modes, incorrect setpoints and consumption that does not deliver the required result.
Engineering digitalisation
HVAC digital twin
We show how building services systems actually operate, where they waste energy and which solutions can deliver practical results for the facility.
We bring equipment, documentation, settings and actual operating data together in a single digital model.
We start with one system and a measurable objective — without digitalising the entire building.
Outside +18.6 °CHistory: 14 monthsLoad forecast: stable
AHU-01Ventilation · 68% · normal
VRF-02Office zones · 23.1 °C
CH-01Chiller · load 72%
P-03Pump group · 2.8 bar
Example of an HVAC digital model structure. Its scope and functions are defined individually for each facility.
Practical value
What the building owner gains
Not just a digital model, but a reliable basis for technical and financial decisions.
Equipment condition monitoring
We detect deviations and signs of equipment deterioration before a serious fault occurs.
Informed spending
We identify what genuinely needs repair or upgrading and what can remain in service.
Knowledge retention
We preserve the system structure, settings, service history and the reasoning behind decisions.
The owner gains a clear picture of HVAC operation and becomes less dependent on individual specialists or contractors.
A unified engineering model
More than documentation or a BMS
An HVAC digital twin is a living digital model of a facility’s building services systems. It links equipment to its specifications, documentation, actual settings, service history and current operating parameters.
01Equipment
02Controllers and sensors
03Data
04Digital model
05Analytics
06Intelligent control
Each subsequent level is added only after the previous one has been verified.
Financial outcome
Where the financial benefits come from
A digital twin does not reduce costs by itself. It helps identify, investigate and confirm the causes of inefficient operation.
Record
Consumption, operating modes, faults, downtime, operating schedules and settings.
Analyse
We link data to equipment and the system’s physical operation.
Test
We develop technical hypotheses and implement agreed changes.
Compare
We assess before-and-after results and whether scaling up is worthwhile.
Simultaneous heating and coolingOperation without loadIncorrect schedulesConflicting setpointsCommand without responseDeclining efficiency
Core offer
First, we verify the results on one system
There is no need to digitalise the entire building at once. We select an air handling unit, VRF system, central cooling plant, heat pump, floor or individual process area.
The pilot aims to establish whether data from the specific facility can deliver a measurable technical or financial result.
What the pilot includes
- Survey of the selected system
- Checking controls, sensors and data
- Creating a baseline digital model
- Recording baseline performance
- Analysing operating modes and testing hypotheses
- Scaling assessment
What the owner receives
FindingsRecommendationsWhat was verifiedResults achievedWhether scaling is worthwhile
Post-pilot assessment
How we assess economic viability
The financial outcome depends on the nature of the problems identified and the changes verified. At one site, energy consumption is the key factor; at another, it is reliability, reduced downtime, lower servicing costs or avoiding unjustified equipment replacement.
We assess the economic viability of scaling after the pilot, based on verified technical results and actual site data.The next level
A digital twin prepares the system for intelligent control
AI requires structured information, high-quality data and a verified operating history. A digital twin builds this foundation gradually, and individual decisions are handed over to automatic control only after verification.
Transparency
The actual condition of the systems is verified by data.
Manageability
Engineering information is retained when personnel change.
Readiness for modernisation
New sensors, equipment and algorithms are integrated into an established structure.
Asset value
A clear understanding of technical condition simplifies valuation, management and preparation for modernisation.
A digital twin transforms HVAC from a collection of equipment into a clear, manageable digital asset.
The SM Systems approach
Digitalisation grounded in real HVAC engineering
Data must be correctly linked to equipment, controls, air exchange, hydraulics and actual operating modes. We first verify the physical operation of the system, then create the model and integrate analytics.
Measurements first — conclusions second.Recommendations first — automatic control second.A pilot first — scaling second.
Security: data is encrypted, and the basic digital twin operates in read-only mode without sending commands to equipment.
Concept demonstration
One model — multiple data layers
Switch between layers to see how the digital twin develops step by step.
AHU-01Ventilation
CH-01Chiller
P-03Pump group
VRF-02Office zones
Site structure
- Equipment and circuits
- Connections between components
- Specifications and documentation
Demonstration of the operating principle. The actual data and functions available depend on the equipment and the site's requirements.
Engineering history
What data the owner retains
System change log
Date, reason for intervention, settings before and after, person responsible and verification result.
Digital asset record structureReviewing the site's history
How operational data helps a new team understand the building's condition and reduce uncertainty.
Why a building's history has valueFREQUENTLY ASKED QUESTIONS
Frequently asked questions
How does a digital twin differ from a BMS?
A BMS collects signals and controls equipment. A digital twin adds system structure, equipment specifications, documentation, service history and analytical context.
Do the existing controls need to be replaced?
Not necessarily. We first check the available controllers, protocols, sensors and historical data.
Does a digital twin guarantee savings?
No. It helps identify and verify the causes of losses. Financial benefits arise after verified changes are implemented.
How is payback determined?
After the pilot, we compare the cost of scaling with the verified potential for savings, fewer failures or lower servicing costs.
Can we start with a single system?
Yes. A pilot on an individual unit, floor or building services circuit allows the approach to be tested without digitalising the entire site.