Steam Trap Monitoring: Turning Process Components into Sustainability Assets

Process plant engineers face an ongoing dual challenge: reducing operating costs while simultaneously driving measurable sustainability gains. In the push to meet these objectives, the focus often falls on major equipment.

However, achieving substantial improvements increasingly requires scrutinising the smallest components on the plant floor. 

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One of the most overlooked opportunities for carbon reduction and cost saving lies in condition-based maintenance.

Here, Stephen Howes, Product Specialist, Process Automation at IMI, outlines how, by shifting away from reactive fixes or rigid schedule-based servicing, plants can prevent energy waste before it accumulates. 

Understanding steam loss 

In many industrial process applications, steam is a highly efficient method of transferring energy, used extensively across industries from oil and gas and chemical processing to food and beverage, pharmaceuticals, and district heating. Whether it drives turbines, heats chemical pipes, or sterilises hospital equipment, steam must remain dry to do its job effectively. If liquid water or air remains in the system, it reduces efficiency, accelerates corrosion, and risks causing mechanical damage. 

As process industries continue to digitise, the ability to turn basic components into smart, data-capturing assets will become a standard foundation for operational excellence.

Steam traps are small, automatically operating valves designed to drain water out of the steam line while keeping the valuable dry steam contained. However, they also provide a perfect practical example of how intelligent monitoring can transform a basic process component into an important sustainability asset. 

Operating in harsh, high-pressure environments, these mechanical devices endure significant wear. Industry estimates suggest failure rates for steam traps can reach up to 25% per year*. When they fail, they typically do so in one of two ways: blocked or failed-open.

A blocked steam trap causes water to back up into the steam system, which is a serious process and safety fault that can damage downstream equipment. A failed-open trap leaks live steam constantly. While the process might continue to run, the plant bleeds energy. The boiler must burn more fuel to replace the lost steam, driving up operating costs and unnecessarily inflating the site's carbon footprint. 

Why manual inspections fall short 

Traditionally, maintenance teams manage steam traps through periodic manual inspections. Once or twice a year, an engineer walks the plant with a clipboard, an acoustic stethoscope, and a thermometer to check each trap. This approach is not without its flaws. If a trap fails the day after an inspection, it might leak continuously for another six months before anyone notices.

During that time, the energy waste and avoidable CO₂ emissions accumulate substantially. Manual inspections also present genuine safety risks. Process pipework can reach temperatures of up to 600°C.

Engineers often have to secure work permits, climb ladders, and access awkward or hazardous areas just to take a reading. It's a slow, often labour-intensive task that takes skilled maintenance personnel away from other mission-critical duties. 

The boiler must burn more fuel to replace the lost steam, driving up operating costs and unnecessarily inflating the site's carbon footprint.

Continuous monitoring and condition-based maintenance 

To address these inefficiencies, the process sector is moving toward continuous, automated monitoring. Rather than checking a component every six months, modern sensors can measure performance every 12 hours.

If a fault occurs, the maintenance team receives an alert immediately and can replace the trap before the energy loss becomes significant. This approach relies on the technology being simple to deploy and manage.

Modern acoustic sensors can clamp directly onto the outside of the pipework, requiring no process interruption or pipe cutting. Solutions like the IMI TWTG Neon Sonic are designed specifically for this purpose, offering clamp-on acoustic, condensate and ambient temperature monitoring that requires no process interruption. 

In addition, the most effective systems use edge diagnostics. Rather than continuously transmitting streams of raw acoustic and temperature data to a central server for analysis, the intelligence sits within the sensor itself.

The device listens to the acoustic signature of the operating valve, analyses it locally, and simply transmits a clear, actionable insight: the steam trap is functioning normally, it is blocked, or it is leaking.

This edge-processing approach drastically reduces bandwidth requirements, allowing process engineers to use scalable networks like LoRaWAN, which can support thousands of sensors across a vast facility without requiring complex IT infrastructure. 

Reducing the maintenance burden 

When deploying thousands of sensors, plant managers must ensure they're not simply replacing one maintenance task with another. If a sensor requires a battery change every few years, the burden of managing the wireless network quickly outweighs the benefits. Current low-power designs allow batteries to last up to 14 years, meaning the sensor will likely outlast the mechanical valve it is monitoring. 

Process environments often contain explosive atmospheres. For industries like chemical processing and oil refining, sensors must carry rigorous safety certifications. Devices rated for hazardous areas, such as ATEX Zone 0, allow engineers to deploy monitoring across the entire site without worrying about creating maintenance or safety issues. 

Intelligent, wireless monitoring removes the guesswork from maintenance.

Beyond steam traps 

While steam traps offer a clear, immediate payback in terms of energy savings and emissions reductions, they're just one example of how condition-based monitoring improves plant operations. Safety relief valves sit closed for most of their operational life, as they are designed to open only to relieve excess pressure.

However, they rarely align perfectly when they close again, often leading to slow, undetected leaks. By applying similar clamp-on acoustic monitoring used for steam traps, engineers can detect fugitive emissions from safety valves or monitor the health of actuated control valves. 

Automated monitoring also simplifies regulatory compliance. In many regions, plants are required by law to audit and prove the integrity of their steam and pressure systems. Continuous data provides a verifiable, digital audit trail, replacing the reliance on manual paperwork and estimates. 

Moving toward process efficiency 

Achieving ambitious sustainability targets requires moving away from the assumption that a certain amount of energy waste is inevitable. By addressing the health of fundamental process components like valves, including steam traps, process engineers can capture significant cost savings and reduce their environmental impact.

Intelligent, wireless monitoring removes the guesswork from maintenance. It keeps workers away from hazardous, high-temperature environments, frees up skilled engineers for critical tasks, and ensures energy is used for production rather than wasted. 

As process industries continue to digitise, the ability to turn basic components into smart, data-capturing assets will become a standard foundation for operational excellence.

FAQs

What is steam trap monitoring?

Steam trap monitoring uses sensors to continuously assess the condition of steam traps detecting faults such as leaks or blockages before they lead to significant energy losses or equipment damage.

Why are steam traps important in industrial processes?

Steam traps remove condensate and air while preventing valuable steam from escaping. Properly functioning steam traps maintain energy efficiency protect equipment and support safe plant operation.

What happens when a steam trap fails?

A failed-open steam trap wastes live steam increasing fuel consumption energy costs and carbon emissions. A blocked steam trap allows condensate to accumulate which can damage equipment and create safety risks.

How does intelligent steam trap monitoring improve sustainability?

Continuous monitoring identifies faults as they occur allowing maintenance teams to fix problems quickly reducing wasted energy lowering emissions and extending equipment life.

What are the advantages of wireless steam trap monitoring?

Wireless monitoring reduces installation costs avoids process interruptions improves worker safety and enables continuous monitoring across large industrial facilities.

What is edge diagnostics?

Edge diagnostics processes sensor data within the device itself before transmitting only meaningful maintenance information reducing network traffic and improving system scalability.

Can intelligent monitoring be used on equipment other than steam traps?

Yes. Similar acoustic monitoring technologies can also monitor safety relief valves control valves and other critical process components to detect leaks and equipment degradation.

How does condition-based maintenance reduce operating costs?

By replacing fixed maintenance schedules with real-time equipment monitoring plants only perform maintenance when necessary reducing downtime labour costs energy waste and unnecessary replacement of healthy equipment.