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Benchmarking the Timmins Process – a novel approach for low energy pre‐combustion carbon capture in IGCC flowsheets
Author(s) -
Hallmark Bart,
ParraGarrido Julian,
Murdoch Andrew,
Salmon Ian,
Hodrien Chris
Publication year - 2017
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.22746
Subject(s) - integrated gasification combined cycle , process engineering , wood gas generator , coal , waste management , carbon capture and storage (timeline) , environmental science , process (computing) , process simulation , combustion , engineering , syngas , computer science , chemistry , ecology , organic chemistry , climate change , biology , operating system , hydrogen
This paper reports results from an initial benchmarking study of the Timmins Process, a novel pre‐combustion carbon capture process that uses a combination of traditional unit operations, DEPG scrubbing, carbon monoxide shift, and carbon dioxide liquefaction, in a unique arrangement. The study examines the performance of the Timmins Process embedded within an integrated gasifier combined cycle (IGCC) flowsheet and the results are compared to data from the US Department of Energy (DoE) cost and performance baseline studies for coal‐fired energy plants. Modelling was undertaken using UniSim R400 (Honeywell Inc.) with thermodynamic parameters for DEPG interactions being regressed from literature data; these results are also reported here. The net efficiency of an IGCC flowsheet incorporating the Timmins Process, with a carbon capture level of 91.8 % on a mass basis, varies between 33.8 % and 34.3 % depending on the process configuration and the cooling water temperature. This result compares very favourably to a DoE study for a conventional capture process embedded within an IGCC flowsheet that operated at an efficiency of 31.2 %. Further, more detailed, studies are recommended to assess the impact of various assumptions that underpin this work.