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Cost-Efficient Pump Operation in Water Supply Systems Considering Demand-Side Management
Demand-side management (DSM) programs are essential to accommodate larger shares of distributed, variable, renewable energy generation. These programs can be used by water utilities to foster a more sustainable operational management. In this work, an integrated DSM strategy is adopted for the optimal control of pumping loads to reduce energy costs in a water supply system (WSS). For this purpose, the participation in demand response programs, namely, using time-of-use (TOU) and real-time pricing (RTP), as well as on-site renewable energy generation, are explored. A gradient-based method was used to optimize the pump scheduling based on a nonlinear programming model integrating hydraulic simulation with optimization tools. The main original contribution of this work is the development of a thorough optimization model integrating available supply and demand energy resources into WSS operational management, as well as presenting a novel approach to formulate the pump operation problem. The Anytown WSS benchmark is used to validate the proposed model. The results show a decrease of 11%–52% in the cost of WSS operation when considering an integrated optimization of the available energy resources in a time-differentiated tariffs context.
Cost-Efficient Pump Operation in Water Supply Systems Considering Demand-Side Management
Demand-side management (DSM) programs are essential to accommodate larger shares of distributed, variable, renewable energy generation. These programs can be used by water utilities to foster a more sustainable operational management. In this work, an integrated DSM strategy is adopted for the optimal control of pumping loads to reduce energy costs in a water supply system (WSS). For this purpose, the participation in demand response programs, namely, using time-of-use (TOU) and real-time pricing (RTP), as well as on-site renewable energy generation, are explored. A gradient-based method was used to optimize the pump scheduling based on a nonlinear programming model integrating hydraulic simulation with optimization tools. The main original contribution of this work is the development of a thorough optimization model integrating available supply and demand energy resources into WSS operational management, as well as presenting a novel approach to formulate the pump operation problem. The Anytown WSS benchmark is used to validate the proposed model. The results show a decrease of 11%–52% in the cost of WSS operation when considering an integrated optimization of the available energy resources in a time-differentiated tariffs context.
Cost-Efficient Pump Operation in Water Supply Systems Considering Demand-Side Management
J. Water Resour. Plann. Manage.
Reis, Ana L. (author) / Andrade-Campos, A. (author) / Henggeler Antunes, Carlos (author) / Lopes, Marta A. R. (author) / Antunes, André (author)
2024-06-01
Article (Journal)
Electronic Resource
English
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