Economic assessment of integrated coal gasification combined cycle with sorbent CO2 capture

被引:36
作者
Esmaili, Ehsan [1 ]
Mostafavi, Ehsan [1 ]
Mahinpey, Nader [1 ]
机构
[1] Univ Calgary, Dept Chem & Petr Engn, Schulich Sch Engn, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
关键词
IGCC; CO2; capture; Coal; Process modeling; Aspen plus; Economic analysis; CARBON CAPTURE; POWER-GENERATION; IGCC SYSTEMS; GAS CLEANUP; COMBUSTION; PLANTS; TECHNOLOGIES; PERFORMANCE; HYDROGEN; COPRODUCTION;
D O I
10.1016/j.apenergy.2016.02.035
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
An integrated gasification combined cycle process with sorbent CO2 capture (IGCC-SCC) using lime (CaO) was developed to assess the application of the gasification process to the power generation industry. Aspen Plus was used to simulate the detailed heat and material balance of the process. The process modeling results, including the composition, flow rate, temperature, pressure and enthalpy of different streams, were used to determine the sizes of the process units and related equipment. A high-level economic model was prepared to evaluate the economic viability of an IGCC-SCC plant and to compare it to GE Energy and Shell Convective gasification plants for converting coal to power. The results show that the proposed process would produce 560 MW of power with a net plant efficiency of 46.4% compared to those of the GE Energy and Shell Convective plants, which are 39.2% and 42.0%, respectively. The total capital investment required for an IGCC-SCC facility having a coal capacity of 3000 tpd was estimated to be $1082 million, which translates to a specific annual capital expenditure (CAPEX) of 1889 $/kW. It was estimated that an IGCC-SCC plant could generate an after-tax internal rate of return (IRR) of 14.4%, which is equivalent to a payback period of 9.1 years. This represents an improvement over the IRR and payback period of the GE Energy and Shell Convective plants at the same capacity. A sensitivity analysis was also conducted in order to identify the relative importance of key economic variables driving the project returns and to quantify the impact of any changes to the assumptions used in the project economics. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:341 / 352
页数:12
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