Optimise your onboard climate systems with our AI supported software platform
Improves HVAC energy consumption
Our AI supported software platform helps marine vessels to reduce the energy consumption of the onboard HVAC system by continuously optimising the system’s settings to varying conditions
Easy to install during service
Our software platform is non-invasive and can be installed during service, is retrofittable to all types of vessels and can be operational within 2-3 months
AI supported control
Our AI supported software platform continuously optimises the systems parameters while the engineers onboard remain full control over the HVAC system
“Arkitech has been running on the MSC Magnifica for over a year. Thanks to Arkitech, we expect to save 10-12 percent of HVAC energy consumption, equating to nearly 1 ton of fuel saved daily. The greatest emissions savings come from the fuel we don’t use.”
Proven results on the MSC Magnifica
Arkitech has been running on the MSC Magnifica for over a year. The result: 12.7% structural energy savings—equivalent to over 300 tons of fuel per year. Thanks to our performance-based model, you only pay when savings are proven.
“Arkitech has been running on the MSC Magnifica for over a year. Thanks to Arkitech, we expect to save 10-12 percent of HVAC energy consumption, equating to nearly 1 ton of fuel saved daily. The greatest emissions savings come from the fuel we don’t use.” - MSC
Because onboard conditions are constantly changing—from outside temperature to room occupancy—our self-learning model automatically adapts to these changes. This allows you to save energy without compromising comfort.
Plug-in during sailing
Model learns your ship (2–3 months)
Software adjusts based on predictions
Risk-Free
By combining advanced algorithms, real-time data and dynamic setpoints we can significantly reduce HVAC energy consumption while maintaining comfort and operational efficiency.
DATA COLLECTION
Our equipment gathers real-time data from the vessel which includes data from the chillers, AHUs, pumps and actual and forecast weather data. This data is stored in a secured cloud platform and published into a real-time dashboard.
MODEL PREDICTIVE CONTROL
By combining predictive models with advanced algorithms, real-time data and dynamic setpoint adjustments, our solution continuously optimises the system’s parameters to reduce energy consumption while maintaining comfort and operational efficiency.
ENERGY SAVINGS
By continuously optimising cooling demand and supply and optimising off-peak balancing, overcooling can be reduced and the energy consumption of the overall system can be reduced.
Depending on system configuration, usage patterns, and climate conditions expected energy savings can be up to 20%
OUR PARTNERS
Let’s Save Energy Together