Shao Qing, Li Chaojing, Yi Yiyi, Xie Yuxiang, Wei Jia, Gong Qingwu, Liu Zizheng, Chen Yiqun, Xie Xiaolong
School of Civil Engineering, Wuhan University, Wuhan 430072, China.
School of Civil Engineering, Wuhan University, Wuhan 430072, China.
Sci Total Environ. 2024 Jul 10;933:173062. doi: 10.1016/j.scitotenv.2024.173062. Epub 2024 May 7.
Sewage treatment as a high energy consumption industry, its electricity consumption accounts for 3 % of the total electricity consumption of society. That means significant greenhouse gas emissions. In the context of China's goal of "reaching carbon peak by 2030 and achieving carbon neutrality by 2060", reducing the energy consumption of wastewater treatment systems has emerged as an important issue in recent years. In this paper, the GPS-X simulation software was employed to conduct a simulation study of a modified Anoxic-Aerobic-Oxic wastewater treatment plant (WWTP) in Wuhan, and the response surface methodology (RSM) was utilized to ascertain the interactive effects of DO, IRF, ERR, and SD on the effluent quality, thereby identifying the operational parameters that minimize energy consumption while maintaining satisfactory effluent quality. Additionally, the PVsyst software was employed to design the solar power generation system of the WWTP and analyze its power generation potential. On this basis, through the coupling of photovoltaic power, electricity load, time-of-use pricing, and the water quality simulation model, and taking the WWTP data in September as a case study, the electricity usage strategies under various illumination conditions were formulated. The aim is to maximize the use of photovoltaic power to reduce the cost and carbon emissions of the WWTP. The results show that the optimal combination of operational parameters, including an external reflux ratio of 0.3, the internal recycle flow of 50,000 m/d, and the sludge discharge of 448 m/d, resulted in a reduction in power of 208.5 kW, and after the combination optimization of operational parameters and electricity utilization, the operation cost of the WWTP in September was reduced by 40 % ∼ 60 %, and the carbon emission attributable to electricity was reduced by 30 % ∼ 50 %.
污水处理作为一个高能耗行业，其耗电量占社会总耗电量的3%。这意味着大量的温室气体排放。在中国“2030年前实现碳达峰、2060年前实现碳中和”目标的背景下，降低污水处理系统的能耗已成为近年来的一个重要问题。本文采用GPS-X模拟软件对武汉某改良型缺氧-好氧-好氧污水处理厂（WWTP）进行模拟研究，并利用响应面法（RSM）确定溶解氧（DO）、内回流比（IRF）、外回流比（ERR）和污泥龄（SD）对出水水质的交互作用，从而确定在保持令人满意的出水水质的同时使能耗最小化的运行参数。此外，采用PVsyst软件设计污水处理厂的太阳能发电系统并分析其发电潜力。在此基础上，通过光伏电力、电力负荷、分时电价和水质模拟模型的耦合，并以9月份污水处理厂的数据为例进行研究，制定了不同光照条件下的用电策略。目的是最大限度地利用光伏发电，以降低污水处理厂的成本和碳排放。结果表明，运行参数的最优组合，包括外回流比为0.3、内循环流量为50000 m³/d和污泥排放量为448 m³/d，使功率降低了208.5 kW，运行参数与电力利用组合优化后，9月份污水处理厂的运行成本降低了40%～60%，电力产生的碳排放量减少了30%～50%。
