Marginal energy intensity of water supply

TL;DR

This paper introduces the first algorithm to quantify the marginal energy intensity of water supply, providing a tool to optimize energy use and policy interventions in water systems.

Contribution

It develops a novel MEI algorithm and analyzes its sensitivity to water system features, enabling improved operational and planning decisions.

Findings

MEI quantifies location-specific embedded energy in water.

Incorporating MEI enhances energy efficiency and policy planning.

MEI can improve energy co-benefits and grid services.

Abstract

Reducing global carbon emissions will require diverse industrial sectors to use energy more efficiently, electrify, and operate intermittently. The water sector is a transformation target, but we lack energy quantification tools to guide operational, infrastructure, and policy interventions in complex water sourcing, treatment, and distribution networks. The marginal energy intensity (MEI) of water supply quantifies the location-specific, instantaneous embedded energy in water delivered to consumers. We describe the first MEI algorithm and elucidate the sensitivity of MEI to generalizable water system features. When incorporated in multi-objective operational and planning models, MEI will dramatically increase the energy co-benefits of water efficiency, conservation, and retrofit programs; maximize energy flexibility services that water systems can deliver to the grid; and facilitate full cost recovery in distribution system operation.