LAPSE:2018.0443v3
Preprint
LAPSE:2018.0443v3
Optimization of Coke Oven Gas Desulphurization and Combined Cycle Power Plant Electricity Generation
September 12, 2018. Originally submitted on September 11, 2018
Many steel refineries generate significant quantities of coke oven gas (COG), which is in some cases used only to generate low pressure steam and small amounts of electric power. In order to improve energy efficiency and reduce net greenhouse gas emissions, a combined cycle power plant (CCPP) where COG is used as fuel is proposed. However, desulphurization is necessary before the COG can be used as a fuel input for CCPP. Using a local steel refinery as a case study, a proposed desulphurization process is designed to limit the H2S content in COG to less than 1 ppmv, and simulated using ProMax. In addition, the proposed CCPP plant is simulated in Aspen Plus and is optimized using GAMS to global optimality with net present value as the objective function. Furthermore, carbon tax is considered in this study. The optimized CCPP plant was observed to generate more than twice the electrical efficiency when compared to the status quo for the existing steel refinery. Thus, by generating more electricity within the plant gate, the need to purchase electricity reduces and hence reducing lifecycle CO2 emissions considerably.
Title in Alternate Language
焦炉煤气除硫以及联合循环发电的优化
Abstract in Alternate Language
很多炼钢厂排放大量焦炉煤气。大部分焦炉煤气被用于燃烧来生产低压蒸汽以及通过汽轮机生产少量的电。为了提高发电效率并减少温室效应,本文提出运用联合循环发电来替代蒸汽发电。不同于现有的蒸汽发电的是,在联合循环发电过程中,焦炉煤气必须经过脱硫处理。基于当地炼钢厂的情况,本文提出并设计了焦炉煤气脱硫方案,使得焦炉煤气中H2S含量低于1 ppmv。该脱硫过程采用ProMax模拟。联合循环发电采用Aspen Plus模拟。并且整个联合循环发电过程又用GAMS软件模拟,以最大化纯现价为目标来优化整个联合循环发电过程。本文还考虑了二氧化碳排放税对纯现价的影响。优化后的联合循环发电效率是现有的低压蒸汽发电的两倍多。因此,通过提高发电效率,钢铁厂所需购买电量降低,也因而从生命周期的角度来说大大减少了二氧化碳的排放量。
Keywords
carbon tax, coke oven gas valorization, combined cycle power plant, desulphurization, net present value, Optimization, steel refinery
Suggested Citation
DENG L, Adams TA II. Optimization of Coke Oven Gas Desulphurization and Combined Cycle Power Plant Electricity Generation. (2018). LAPSE:2018.0443v3
Author Affiliations
DENG L: McMaster University [ORCID]
Adams TA II: MCMASTER UNIVERSITY [ORCID]
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Journal Name
Industrial and Engineering Chemistry Research
Year
2018
Publication Date
2018-08-28
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Revision of Version 2
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