Conference Proceedings
Optimisation of pre-combustion capture for IGCC with a focus on the water balance
T Harkin, A Hoadley, B Hooper
Energy Procedia | ELSEVIER SCIENCE BV | Published : 2011
Abstract
Multi-objective optimisation is applied to the simulation of an IGCC power station with solvent based CCS technology. An Aspen Plus® model of the IGCC power station including CCS is interfaced with an Excel based genetic algorithm to optimise the process. The process is optimised with respect to capital cost and energy efficiency for a range of operating conditions of the solvent plant. This work is based on an air-blown gasification process consuming pre-dried lignite, it uses pinch analysis to design a HRSG for the IGCC power station with CCS to determine the power produced by the power station as well as estimating the additional capital costs due to the CCS equipment. The genetic algorit..
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Funding Acknowledgements
This work is prepared as part of the CO2CRC/HRL Mulgrave Capture Project with support of the Victorian Government ETIS Brown coal R&D Program and the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), which is funded through the Australian Governments Cooperative Research Centre program, other federal and state Government programs, CO2CRC participants and wider industry.