Incorporating resilience and variable demand in the multi-objective optimization of a water supply network

PIETRASANTA, ARIANA M.; MUSSATI, SERGIO F.; HAMOUDA, MOHAMED A.; MORTULA MD; OSMAN-AHMED AHMED; SHAABAN, MOSTAFA F.

Leicester

Conferencia; 19th International Computing & Control for the Water Industry Conference; 2023

Brunel University (London), De Monfort University (Leicester), Exeter University, Imperial College London and The University of Sheffield

This project aims to develop a mathematical model for a water network (WN) supplied by a desalination system. The model must be flexible enough to cope with different demand requirements and can be modified for different scenarios. For proper representation, the model incorporates different variables, such as pipe diameter, water flow rate, flow velocity, pump design, and reservoir design, for the water network. For reverse osmosis (RO), the variables involved are flow rates, brine concentration, working pressures, number of membranes, etc.As a second step, the purpose is to find the optimal design and operating values to minimize the investment and operating costs of the global system. However, minimizing the total cost of water network design means focusing on reducing the system’s initial capital investment and operating costs. This does not take into account the resilience of the network, which means that additional investments may be required to ensure that the network can continue to operate effectively in the event of a disruption. While minimizing costs is an important factor in water network design, resilience must also be taken into account to ensure water supply. For this reason, the aim is to find a balance in the design and operation of the water network and desalination between minimizing costs and ensuring resilience to develop a system that is cost-effective and reliable.