Carbon Capture Costs: FEED & pre-FEED Cost Reports

Membrane Technology and Research Inc., with Technology Centre Mongstad, Dresser-Rand, Trimeric Corporation, and WorleyParsons/Advisian, is scaling up its advanced Polaris™ membranes for post-combustion CO₂ capture and testing them at engineering scale at TCM in Norway. The Polaris membranes, about 20 times more permeable than prior commercial versions, use a patented selective recycle design to boost CO₂ concentration in flue gas and lower capture costs. The project will design, build, and operate a modular membrane system for a six-month field test, including performance verification, steady-state operation, techno-economic updates, and integration studies with advanced compression technology.

The Peterhead CCS Project in Aberdeenshire, Scotland, was designed to demonstrate the world’s first commercial-scale post-combustion CO₂ capture from a gas-fired power station. Using amine-based CANSOLV technology, it aimed to capture around one million tonnes of CO₂ annually from one turbine at SSE’s Peterhead Power Station, compress and condition it, and transport it via a new offshore pipeline for injection into the depleted Goldeneye gas reservoir over 2 km beneath the North Sea. The FEED study defined project scope, refined CAPEX and OPEX estimates, and assessed cost uncertainties, providing a basis for the Execute phase while also documenting budget performance and emergent costs during FEED.

Electric Power Research Institute (EPRI), with Fluor Corporation and California Resources Corporation (CRC), conducted a FEED study to assess the feasibility of retrofitting Fluor’s solvent for post-combustion CO₂ capture at the 550 MW Elk Hills NGCC power plant. The system aims to capture approximately 4,000 tonnes of CO₂ per day (75% of total emissions, or 90% of an 83% slipstream), with the captured CO₂ intended for enhanced oil recovery. Deliverables include the full engineering design package—such as process flow diagrams, equipment datasheets, and capital cost estimates—optimized for site-specific performance, operations, and construction practices.