US-based Coastal Bend LNG has initiated a front-end engineering and design (FEED) study with Solvanic to implement an electrochemically mediated amine regeneration (EMAR) carbon capture technology at its facility.
This technology, which has been in development for more than ten years at the Massachusetts Institute of Technology, is aimed at reducing energy consumption and costs associated with carbon capture.
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The 22.5 million ton per annum (mtpa) natural gas liquefaction and export facility on the Texas Gulf Coast will include up to five 4.5mtpa liquefaction trains, cogeneration, liquefied natural gas (LNG) storage tanks, and export facilities for shipping, bunkering and ISO containers.
Coastal Bend LNG CEO Nick Flores said: “To deliver on our ambitious low carbon intensity LNG goals, we need to capture carbon dioxide emissions from both our natural gas pretreatment and cogeneration facilities.
“For post-combustion capture on our onsite cogeneration facilities, we need a step change in carbon capture efficiency. We are highly encouraged by Solvanic’s preliminary techno-economics and are keen to accelerate their technology readiness with this FEED study.”
Solvanic has secured an option agreement to deploy the technology, which leverages electrochemical process to release captured carbon dioxide (CO₂) from amines, a method that is more energy-efficient compared to the high-temperature steam used in traditional systems.
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By GlobalDataThe technology has been fine-tuned to reach Technology Readiness Level 4, showcasing low energy consumption, increased stability and modular scalability.
Solvanic co-founder and chief technology officer Michael Nitzsche said: “This FEED study accelerates our techno-economic analyses for gas processing and post-combustion carbon capture with the full engineering support of Coastal Bend LNG and their contractors.”
Earlier in the year, Coastal Bend LNG announced plans to leverage generative AI solutions from ClassVI.AI for its permitting application with the Federal Energy Regulatory Commission.
