期刊
FUEL
卷 265, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2019.116932
关键词
Post-combustion CO2 capture; Process uncertainty; Model Predictive Control
资金
- Natural Sciences and Engineering Research Council of Canada (NSERC)
This study presents the design of a robust nonlinear model predictive controller (NMPC) for the absorber unit of a post-combustion CO2 capture process operating downstream from a coal-fired power plant. The controller employs a dynamic mechanistic model for this process, which allows for a precise treatment of the sources of uncertainty. In the case of the absorber, the model enables explicit consideration of uncertainty in the process operating conditions dictated by upstream units and in physical property parameters associated with phenomenological descriptions of the process. Using the multi-scenario approach, discrete realizations of the uncertain parameters inside a given uncertainty region can be incorporated into the controller to produce control actions that result in a robust operation in closed-loop. The multi-scenario controller was tested under several disturbance rejection scenarios of varying complexity and their performance was assessed against that of single-scenario NMPCs. The benefits of the robust NMPC approach were most evident for longer simulations and, considering the continuous nature of a power plant and its emissions, make the robust NMPC approach suitable for the operation of this process in the presence of uncertainty and disturbances.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据