Optimization of Pumps Scheduling in Wastewater Treatment Plants
Mentor 1
Lingfeng Wang
Location
Union Wisconsin Room
Start Date
28-4-2017 1:30 PM
End Date
28-4-2017 4:00 PM
Description
As energy-intensive industrial sectors, water and wastewater treatment consumes about 75,000 to 100,000 GWh electricity, which accounts for nearly 3% of U.S. annual energy consumption. Instead of being energy-intensive, wastewater treatment plants (WWTPs) consume a large amount of electricity during peak hours, which makes load management a potential way to achieve demand response. The main purpose of demand response is to improve the stability of the electric grid and reduce the use of electricity during peak periods so as to lower the total energy costs. Two kinds of strategies can be utilized to reduce electrical loads during peak periods, including load shedding and load shifting. Load shedding strategy is to reduce the total electrical load during a demand response event; and load shifting is to reschedule the flexible electrical loads to partial-peak or off-peak hours. In this work, we review the main treatment processes and their energy-consuming behaviors in WWTPs. The pumping system is one of the most energy-intensive components in WWTPs, so we build a load shifting model focused on pumps in order to reduce the load during peak hours. Based on the particle swarm optimization algorithm, a mathematical problem is formulated. The obtained simulation results indicate that the proposed method can effectively manage the electric demand of pumps; and also verify that economic benefits can be achieved by shifting load demands from peak hours to off-peak hours.
Optimization of Pumps Scheduling in Wastewater Treatment Plants
Union Wisconsin Room
As energy-intensive industrial sectors, water and wastewater treatment consumes about 75,000 to 100,000 GWh electricity, which accounts for nearly 3% of U.S. annual energy consumption. Instead of being energy-intensive, wastewater treatment plants (WWTPs) consume a large amount of electricity during peak hours, which makes load management a potential way to achieve demand response. The main purpose of demand response is to improve the stability of the electric grid and reduce the use of electricity during peak periods so as to lower the total energy costs. Two kinds of strategies can be utilized to reduce electrical loads during peak periods, including load shedding and load shifting. Load shedding strategy is to reduce the total electrical load during a demand response event; and load shifting is to reschedule the flexible electrical loads to partial-peak or off-peak hours. In this work, we review the main treatment processes and their energy-consuming behaviors in WWTPs. The pumping system is one of the most energy-intensive components in WWTPs, so we build a load shifting model focused on pumps in order to reduce the load during peak hours. Based on the particle swarm optimization algorithm, a mathematical problem is formulated. The obtained simulation results indicate that the proposed method can effectively manage the electric demand of pumps; and also verify that economic benefits can be achieved by shifting load demands from peak hours to off-peak hours.
