宏畔水厂水泵运行效率评估及组合优化
EFFICIENCY ASSESSMENT AND DISPATCH OPTIMIZATION OF WATER PUMP OPERATIONS AT THE HONGPAN WATER TREATMENT PLANT
王立彪 1王雪松 2吴伟峰 1周华珍 1郑家骏 1张淼佳1
作者信息
- 1. 杭州余杭水务控股集团有限公司,杭州 311100
- 2. 浙江大学滨海产业技术研究院,天津 300457
- 折叠
摘要
随着水资源稀缺和能源环保压力的增加,水泵系统在供水领域的能效优化变得尤为重要,通过优化水泵组合及运行策略,提高供水系统的能源利用效率,降低运营成本,实现绿色、可持续的水资源管理,具有显著的经济和环境效益.提出了一种基于梯度算法的并联水泵曲线参数优化方法,并构建了并联水泵运行效率评估及组合优化调度系统框架.以杭州临平区宏畔水厂供水泵站为例,验证该技术的有效性和可行性,校正后的水泵特性曲线98％时间内的绝对百分比误差在3％以内,优化后的水泵组合效率相比原调度方案提升了 4～6个百分点.该研究成果有助于降低供水泵站的能耗、提高供水泵站的运行效率,为供水泵站的优化调度提供了一定的参考和借鉴意义.
Abstract
With the increasing scarcity of water resources and growing pressure for energy conservation and environmental protection,energy efficiency optimization of pump systems in the water supply sector has become particularly crucial.Optimizing pump dispatch and operational strategies can enhance the energy utilization efficiency of water supply systems,reduce operational cost,and achieve green and sustainable water resource management,which has significant economic and environmental benefits.This paper presented a parallel pump curve parameter optimization method based on gradient algorithms,constructed a framework for evaluating the operational efficiency,and combined optimization scheduling of parallel pumps.Taking the water supply pump station at Hongpan Water Supply Plant in Linping District,Hangzhou as an example,the effectiveness and feasibility of this technique were verified,with the calibrated pump having an absolute percentage error within 3％for 98％of the operation time,and the optimized pump combination efficiency improved by 4 to 6 percentage points compared to the original scheduling plan.This ensures low-carbon and efficient operation of the pump station under various working conditions.The achievements of this study can help reduce the energy consumption of water pump stations,improve their operational efficiency,and provide a reference and inspiration for optimizing the scheduling of similar water pump stations.
关键词
供水管网/泵曲线校正/效率评估/优化调度Key words
water supply network/pump curve calibration/efficiency evaluation/optimal operation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据