Advanced Monitoring, Predictive Analytics and

Prescriptive Maintenance for Industrial Heat Transfer Systems

We combine Artificial Intelligence (AI) with physics-based models and deep domain knowledge to monitoring, design and maintenance of heat exchanger networks.

Our hybrid digital twins deliver increased production, improved energy efficiency, reduced maintenance requirements and GHG emissions.

Hybrid Digital Twins for Predictive Maintenance of Heat Exchangers

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Hexxcell Studio™ is the world's first Hybrid Digital Twin (HDT) for predictive maintenance of industrial heat transfer equipment and is used by Plant Personnel, Maintenance Engineers, Energy Efficiency Analysts and Heat Transfer Specialists around the world to predictively assess the thermal and hydraulic impact of fouling in heat 

exchangers, to devise mitigation strategies and optimally manage cleaning schedules and flow split operations.​

Our comprehensive software framework integrates AI and deterministic models in hybrid digital twins for monitoring, design and predictive maintenance of heat exchangers and their networks in a unified platform.

Enabling Your Digital Transformation Journey

Traditional heat exchangers maintenance philosophies are time-based or "preventative": assets are cleaned at specified time intervals (e.g. at turnaround) or, at best, cleaning decisions are made based on simple, potenitally misleading) monitoring indicators (e.g. fouling resistance). This approach is not only sub-optimal and leaves significant econmic opprtunities on the table but it can also result in selecting the wrong action to take, leading to ineffective cleanings and costly remedial actions to be taken (e.g. clean again the same unit!).

 

At Hexxcell, we enable your digital transformation journey from a preventative approach to a predictive one whereby future operational issues (e.g. production loss) are detected in advance and corrective actions or optimisation opportunities and are suggested to operators. 

 

Even further, we enable a Prescriptive approach where we indicate not only when to take a certain cleaning action and for whcih heat exchanger, but aslo what cleaning action to take (e.g. mechanical, chemical or thermal cleaning).

Preventative

Cleaning actions are performed at regular intervals

Predictive

Clean before loss in production, hitting furnace limits etc.

Prescriptive

Select Mechanical, Chemical, Thermal, cleaning

Condition-based

Cleaning action and duration are a function of the asset state

ABOUT US

We spun out from Imperial College in 2013, we are now an independent private company based in London

Our History

We bring digital disruption to design, monitoring and maintenance of  industrial thermal systems

Our Mission

We are a team of passionate engineers with a knack for heat transfer, data science and programming

Our TEAM

Our customers include 6 of the top IOC and have saved MM$ and MMtons of CO2 using our technology

Our Customers

TECHNOLOGY

 

 Hexxcell’s proprietary technology, originally developed at Imperial College London, is powered by the state-of-the-art software Hexxcell Studio™ which enables the prediction of fouling in industrial heat exchangers.

SOLUTIONS

 

Hexxcell offers a variety of solutions helping customers digitise operations in the Industry 4.0 era.

These include advanced heat exchanger monitoring and operations improvement, crude oil fouling testing services and much more.