Reduced-order modelling of flexible CCS and assessment using short-term resource scheduling approach
Reduced-order modelling of flexible CCS and assessment using short-term resource scheduling approach
复制标题
灵活 CCS 的降阶建模和使用短期资源调度方法的评估
DOI：
10.1016/j.ijggc.2016.01.025
复制
发表时间：
2016
影响因子：
3.9
通讯作者：
E. Croiset
中科院分区：
文献类型：
--
作者：
Colin F. Alie;A. Elkamel;P. Douglas;E. Croiset
CCS（碳捕获和储存）可以允许使用传统的发电燃料，同时实现温室气体（GHG）排放的大幅减少，但相对于没有CCS的电力系统，效率和容量会降低。有人建议，部署具有CCS灵活性的发电机组，特别是可以根据市场条件调节其CO2回收量的发电机组，将减轻与该技术相关的一些不利因素。本文采用短期资源调度的方法来评估灵活的发电机组与CCS（碳捕获和储存）的价值，发电机组的部分负荷性能，变化的CO2回收，电力系统的详细操作，包括传输和可靠性的限制，同时考虑。采用白杨Plus®稳态模型对采用CCS的燃煤发电机组的性能进行了参数研究，并采用回归分析开发了代表机组帕累托最优前沿的降阶模型。电力系统模拟器的基础经济调度扩展，以适应灵活的发电机组与CCS。将带CCS的柔性发电机组加入到IEEE RTS'96（Institute of Electrical and Electronics Engineers One-Area Reliability Test System-1996）中，并对改进后的IEEE RTS'96进行了为期一周的运行模拟。将结果与Alie等人（2015）针对基础IEEE RTS'96和具有“固定”CCS的IEEE RTS'96的结果进行对比。“灵活的”CCS在减少温室气体排放方面是有效的，尽管其程度略低于通过“固定的”CCS观察到的程度。然而，随着温室气体监管的到位，灵活性显着增加了净能源效益的发电机组与CCS，这是实现了不是通过调整CO2回收，以适度的输出，而是通过提高发电机组的能力，成功地竞争提供备用电源。不考虑温室气体减排方案对能源效益影响的绩效指标可能无法正确地对温室气体减排方案进行排名。
CCS (Carbon Capture and Storage) can allow conventional fuels for electricity generation to be used while achieving deep reductions in GHG (Greenhouse Gas) emissions at the cost, though, of reduced efficiency and capacity relative to an electricity system without CCS. It has been proposed that the deployment of generating units with CCS that areflexible—in particular, that can moderate their CO2recovery in response to market conditions—would mitigate some of the disbenefit associated with the technology. This paper uses the short-term resource scheduling approach to assess the value of flexible generating units with CCS (Carbon Capture and Storage); generating unit part-load performance, variability of CO2recovery, and detailed operation of an electricity system including transmission and reliability constraints are considered simultaneously. A parametric study of the performance of a coal-fired generating unit with CCS is undertaken using an Aspen Plus® steady-state model and a reduced-order model representing the Pareto optimal frontier of the unit is developed using regression analysis. The base economic dispatch underlying the electricity system simulator is extended to accommodate flexible generating units with CCS. The flexible generating unit with CCS is added to the IEEE RTS’96 (Institute of Electrical and Electronics Engineers One-Area Reliability Test System—1996) and the operation of the modified IEEE RTS’96 is simulated for one week. The results are contrasted with results taken from Alie et al. (2015) for the base IEEE RTS’96 and an IEEE RTS’96 with “fixed” CCS. “Flexible” CCS is effective at reducing GHG emissions, though to a slightly lesser extent than was observed via “fixed” CCS. However, with GHG regulation in place, flexibility markedly increases the net energy benefit of the generating unit with CCS and this was achieved not through adjustment of CO2recovery in order to moderate output but, rather, by increasing the generating unit's ability to successfully compete to provide reserve power. Performance metrics that do not consider the impact of GHG mitigation options on energy benefit may not correctly rank GHG mitigation options.