Abstract

Spatially unbalanced energy supply and demand drive energy transfer. However, the spatial impact of energy transfers on water resources throughout the energy chain remains unexplored. This gap is largely a result of the difficulty in modeling successive transfers of virtual scarcity water (VSW). Thus, a more detailed approach than single or discrete transfer modeling is required. Here, we integrated the water footprint, water stress index, and multi-flow and multi-node models into an analytical framework for a coal-based electric chain (CBEC) to link discrete VSW transfers owing to coal transport and electricity transmission. A case study in China was modeled to illustrate the building mechanism of successive VSW transfers along the CBEC. Our model shows that interprovincial coal transport leads to a VSW transfer of 280.95 Mm3, 8.8 % of which was inherited by a VSW transfer of 388.18 Mm3 for interprovincial electricity transmission. The two-stage transfer results in a 451.42 Mm3 of difference in provincial VSW and the water scarcity footprint. We propose to promote technical-level strategies of cleaner production and technical configuration adjustment, management-level patterns of energy supply chain optimization and power source diversification, and market-level incentives of interprovincial compensation and resource coordination to enhance energy-water co-benefits.

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