Wang Zhaoqing, Gu Dungang, Lu Jiaqi, Zhang Nan, Liu Yang, Li Guanghui
Innovation Centre for Environment and Resources, School of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Centre for Process Integration, Department of Chemical Engineering and Analytical Science, The University of Manchester, Manchester M13 9PL, U.K.
ACS Omega. 2022 Aug 8;7(32):28525-28533. doi: 10.1021/acsomega.2c03302. eCollection 2022 Aug 16.
High operating cost caused by electric energy consumption is a common problem challenging many municipal wastewater treatment plants (WWTPs). Due to the characteristics of intermittent inflow and aeration, WWTPs using sequencing batch reactor technology and its variants can be managed to relieve operating cost through taking advantage of time-of-use electricity pricing. However, little attention has been paid to the scheduling of treatment processes in the context of WWTPs. In this paper, a novel mixed-integer linear programming model is established for scheduling the batch operation of a WWTP under time-of-use electricity pricing, which considers constraints arising from task allocation, processing sequence, and processing duration. The modeling method is developed from the event-based continuous-time approach. The start time and end time of each treatment task are optimized to shift electricity consumption from peak hours to off-peak hours to the greatest extent, thus minimizing electricity cost. A case study demonstrates that the proposed model can quickly generate precise operational plans for the investigated WWTP. By implementing the optimum schedules, the WWTP can save on its electricity bill without changing the treatment capacity or the treatment process. The widening of peak and off-peak electricity pricing gap is favorable for the proposed model to display a more significant effect in reducing electricity cost.
电能消耗导致的高运营成本是困扰许多城市污水处理厂的一个常见问题。由于进水和曝气的间歇性特点，采用序批式反应器技术及其变体的污水处理厂可以通过利用分时电价来降低运营成本。然而，在污水处理厂的背景下，很少有人关注处理过程的调度。本文建立了一种新颖的混合整数线性规划模型，用于在分时电价下调度污水处理厂的间歇运行，该模型考虑了任务分配、处理顺序和处理持续时间所产生的约束。建模方法是从基于事件的连续时间方法发展而来的。优化每个处理任务的开始时间和结束时间，以最大程度地将电力消耗从高峰时段转移到非高峰时段，从而使电力成本最小化。一个案例研究表明，所提出的模型可以快速为所研究的污水处理厂生成精确的运营计划。通过实施最优调度，污水处理厂可以在不改变处理能力或处理工艺的情况下节省电费。峰谷电价差距的扩大有利于所提出的模型在降低电力成本方面发挥更显著的作用。
