Computers & Chemical Engineering ( IF 3.9 ) Pub Date : 2017-10-27 , DOI: 10.1016/j.compchemeng.2017.10.030 Irene Lotero , Ajit Gopalakrishnan , Thierry Roba
In the operation of power-intensive Air Separation Units (ASUs) that produce storable liquid products, optimization opportunities exist at two time scales − week-ahead production scheduling to leverage fluctuations in electricity prices, and real-time decisions that optimize the entire plant operation and capture spot opportunities. In our previous work, we proposed a methodology based on flexibility analysis and robust optimization to ensure feasibility of real-time operational decisions at ASUs for future time periods within a scheduling horizon. In this paper, we build upon the methodology to propose approaches to improve the online performance of a production schedule for ASUs by using the real-time optimization layer. We compare several policies for real-time optimization and our studies on real plant data show interesting trade-offs between week-ahead scheduling and real-time optimization.
中文翻译:
关于提高生产计划的在线性能:在空分设备上的应用
在生产可存储液体产品的高功率空气分离装置(ASU)的运行中,存在两个时间尺度上的优化机会-提前一周进行生产调度以利用电价的波动,以及实时决策来优化整个工厂的运行并抓住机会。在我们以前的工作中,我们提出了一种基于灵活性分析和鲁棒优化的方法,以确保在ASU上针对调度范围内的未来时间段进行实时操作决策的可行性。在本文中,我们基于该方法论,提出了通过使用实时优化层来提高ASU生产计划的在线性能的方法。