کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4762827 | 1422947 | 2018 | 25 صفحه PDF | دانلود رایگان |
- NLP optimization model for NGCC and CO2 capture processes.
- Simultaneous optimization of the design and operating conditions.
- CO2 avoided cost minimization for a given CO2 capture and electric power generation.
- Optimal coupling configuration of the NGCC and CO2 capture processes.
- Detailed comparison between optimal and sub-optimal solutions.
This paper deals with the optimization of the coupling between a natural gas combined cycle (NGCC) plant and a post-combustion CO2 capture process by minimizing the mitigation cost - defined as the ratio between the cost of electric power generation and the amount of CO2 emitted per unit of total net electric power generated - while satisfying the design specifications: electric power generation capacity and CO2Â capture level. Three candidate coupling configurations, which differ in the place where the steam is extracted from, are optimized using detailed and rigorous models for both the NGCC and the CO2 capture plants. By comparing the mitigation cost of each configuration, the optimal integration configuration and the corresponding optimal sizes and operating conditions of all process units (steam turbines, gas turbines, heat recovery steam generators HRSGs, absorption and regeneration columns, reboilers and condensers, and pumps) are provided. In the computed optimal solution, the steam required by the CO2 capture plant is extracted from both the steam turbine and the HRSG (evaporator operating at low pressure), and the mitigation cost is 90.88Â $/t CO2. The optimal solution is compared with suboptimal solutions corresponding to the other two candidate coupling schemes. These solutions are compared in detail regarding capital investment and operating costs, HRSG configuration, process unit sizes, and operating conditions.
Journal: Chemical Engineering Journal - Volume 331, 1 January 2018, Pages 870-894