Trade-offs and synergies in the water-energy-food nexus

The case of Saskatchewan, Canada

Journal Article (2021)
Author(s)

Lina Wu (University of Saskatchewan)

Amin Elshorbagy (Global Institute for Water Security, University of Saskatchewan)

S. Pande (TU Delft - Water Resources)

La Zhuo (Institute of Soil and Water Conservation Chinese Academy of Sciences, Northwest A and F University)

Research Group
Water Resources
DOI related publication
https://doi.org/10.1016/j.resconrec.2020.105192
More Info
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Publication Year
2021
Language
English
Research Group
Water Resources
Volume number
164

Abstract

Socioeconomic and climatic changes and limited water resources pose various challenges to water, energy, and food sectors across the globe. The inevitable interactions between water, energy, and food systems bring about trade-offs but also synergies under different decisions and policies. To gain insights into these issues, we developed a water-energy-food (WEF) nexus model that incorporates both production (supply) and demands sides of WEF systems into a single system-of-systems model using the system dynamics (SD) approach. The model is applied to Saskatchewan, Canada, and so is named WEF-Sask. The model results reveal the various levels of sensitivities of water, energy, and food (and feed) sectors to the socioeconomic and climatic drivers. The analysis of trade-offs and synergies shows that the proposed large irrigation expansion (400%) boosts food production by 1.6% while reducing hydropower production by 2.7% in Saskatchewan. Wind expansion strategy (from 5% to 30% of total capacity) makes synergies that not only contribute to electricity supply but also reduce greenhouse gas emissions, industrial water demand, and groundwater use by 2.0, 5.7, and 3.8%, respectively. Biofuel use (blending mandate: 10% ethanol and 5% biodiesel) in transportation cuts GHG emissions by 1.2% but reduces the potential food export (food surplus) by 5.0%. The WEF-Sask model allows for scenario analysis toward integrated resources management, and its generic model structure can be expanded to other regions.

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