Carbon Capture Costs: FEED & pre-FEED Cost Reports

Calpine Texas CCUS Holdings LLC, with Electricore Inc., is conducting a FEED study for a modular post-combustion CO₂ capture system at the Deer Park Energy Center NGCC plant in Texas. Using Shell’s commercial-scale amine technology, the system will capture 95% of emissions—about 5 MTPA—while maintaining low energy use and fast reaction rates. The study will include business case, techno-economic, life cycle, environmental, and public policy analyses, including environmental justice and job creation impacts.

This report summarizes Trimeric’s Phase II work under the SSEB ECO2S project in Kemper County, Mississippi, focused on Task 7 – Infrastructure Development. Trimeric evaluated CO₂ compression and dehydration costs, compared pumping versus compression for dense phase CO₂, and developed pipeline transport cost estimates. Using experience from past projects, screening-level designs and cost estimates were prepared for a nominal 1 MTPY case and scaled to site-specific conditions. Results showed that increasing discharge pressure modestly raises costs, with pumping offering slight savings and operational flexibility but added complexity. Pipeline costs were estimated using NPC benchmarks, while compression and dehydration costs were scaled for Plant Daniel, Plant Miller, and Kemper. Overall, capital costs were roughly three times equipment costs, with electricity for compression as the dominant operating expense. The costs are associated with 8-stage compression to 1,500 psig

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.