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Korean Chemical Engineering Research,
Vol.54, No.3, 320-331, 2016
Vol.54, No.3, 320-331, 2016
Linze-Donawitz 가스로부터 일산화탄소(CO) 분리를 위한 흡수 및 흡착공정에 대한 기술경제성 비교
Techno-economic Comparison of Absorption and Adsorption Processes for Carbon Monoxide (CO) Separation from Linze-Donawitz Gas (LDG)
제철소에서 부생되는 LDG (Linze Donawitz gas) 가스는 일산화탄소(CO)를 60% 이상 포함한다. LDG로부터 CO를 고순도로 분리하는 2가지 공정을 고려하였다: COSORB와 CO-PSA (pressure swing adsorption). 이 연구의 목적은 기술경제성평가(TEA: techno-economic analysis) 를 통하여 이 두 공정 중 어떤 공정이 더 경제성이 높은 지를 결정하는 하는 것이었다. TEA의 기술적 측면에서는 초기투자비(TCI: total capital investment) 와 총생산비용(TPC: total production cost)을 추정하기 위하여 먼저 공정흐름도(PFD: process flow diagram)를 완성하고, 물질 및 에너지 수지식을 계산한후, 장치 종류 및 크기를 결정하였다. TEA의 경제성 측면에서는 투자회수율(ROI: return on investment) 및 투자회수기간(PBP: payback period) 과 같은 경제성 판단기준을 산출하였고, ROI와 PBP에 가장 큰 영향을 주는 인자들을 찾기 위하여 민감도 분석을 수행하였다. CO-PSA 공정은COSORB 공정 보다 더 높은 ROI와 더 낮은 PBP 로 인하여 경제적 우위를 보여주었다. CO의 가격은 ROI와 PBP에 가장 큰 영향을 주는 인자로 파악되었다.
Linze-Donawitz gas (LDG) adjunctively produced in the steel mill contains over 60% of CO. Two processes that recover high purity CO from LDG were considered: COSORB and CO-Pressure swing adsorption (PSA). This study aimed to decide which one is more economically feasible than the other by techno-economic analysis (TEA). From the technical point of view of TEA, the process flow diagram (PFD) was constructed, the mass and energy balances were calculated, and the equipment type and size were determined in order to estimate the total capital investment (TCI) and the total production cost (TPC). From the economic point of view of TEA, economic performance such as return on investment (ROI) and payback period (PBP) was evaluated, and the sensitivity analysis was carried out to identify key factors influencing ROI and PBP. It was found that CO-PSA is more economically feasible due to higher ROI and lower PBP. The CO price highly influenced ROI and PBP.
Keywords:
LDG (Linze-Donawitz gas); Carbon monoxide (CO); COSORB; PSA (pressure swing adsorption); TEA (technoeconomic analysis); Sensitivity analysis
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