en.Wedoany.com Reported - Miura America has announced that it will showcase its modular steam generation and boiler monitoring technologies at the ChemE Show, to be held June 9–10, 2026, at the George R. Brown Convention Center in Houston, Texas.
At Booth 624, the company will display the LX Series steam boilers, the EX Series dual-fuel steam boilers, and the Miura Connect monitoring platform. According to Miura America, these technologies are designed to help industrial facilities improve efficiency, operational flexibility, and system reliability.
The LX Series steam boilers can go from a cold start to producing steam in under five minutes, with nitrogen oxide emissions as low as five parts per million. The modular platform offers scalable capacity, built-in redundancy, and a compact footprint, enabling facilities to increase steam output as demand grows while minimizing downtime during maintenance and inspections.
The EX Series dual-fuel steam boilers can operate on natural gas, propane, or No. 2 fuel oil, also reaching full steam output in under five minutes. These boilers combine high-pressure capability, low-emission performance, and a compact design, with an integrated early-warning scale monitor that helps operators identify potential maintenance issues before they affect performance.
The Miura Connect monitoring platform includes centralized boiler water analysis functionality, allowing operators to monitor water quality across multiple boilers from a single location and assess the condition of up to 20 boilers within a facility. Miura states that the platform helps improve oversight, streamline monitoring activities, and support stable boiler performance.
During the exhibition, Miura America will provide information on how its boiler technologies and monitoring tools can help facilities create more responsive and resilient steam operations. Attendees can also watch videos, obtain brochures, and participate in discussions on boiler room modernization, operational performance, sustainability, and long-term reliability.
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