Science, Technology, and Public Policy

A large part of operating costs in urban water supply networks is usually due to energy use, mostly in the form of electricity consumption. There is growing pressure to reduce energy use to help save operational costs and reduce carbon emissions. This study shows how a hybrid linear and multi-objective optimization approach can be used to identify key energy consumption elements in a water supply system, and then evaluate the amount of investment needed to achieve significant operational gains at those points in the supply network.

In this report, the authors conduct a benchmarking analysis for energy and CO2 emissions intensity of the steel industry among the largest steel-producing countries.