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The water-food-energy nexus optimization approach to combat agricultural drought: a case study in the United States
Univ Maryland, USA..
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-1351-9245
Univ Space Res Assoc, Columbia, USA..
KTH Royal Inst Technol, Stockholm, Sweden..
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2018 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 227, p. 449-464Article in journal (Refereed) Published
Abstract [en]

The frequent recent drought events in the Great Plains of United States have led to significant crop yield reductions and crop price surges. Using an integrated water-food-energy nexus modelling and optimization approach, this study laid the basis for developing an effective agricultural drought management system by combining real-time drought monitoring with real-time irrigation management. The proposed water-food-energy simulation and optimization method is spatially explicit and was applied to one major corn region in Nebraska. The crop simulations, validated with yield statistics, showed that a drought year like 2012 can potentially reduce the corn yield by 50% as compared to a wet year like 2009. The simulation results show that irrigation can play a key role in halting crop losses due to drought and in sustaining high yields of up to 20 t/ha. Nevertheless, the water-food-energy relationship shows that significant investments on water and energy are required to limit the negative effects of drought. The multi-criteria optimization problem developed in this study shows that the optimal crop yield does not necessarily correspond to the maximum yield, resulting in potential water and energy savings. (C) 2017 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2018. Vol. 227, p. 449-464
Keywords [en]
Water-food-energy nexus, Drought, Optimization, Energy for irrigation, Crop modelling, Spatial analysis
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-41193DOI: 10.1016/j.apenergy.2017.07.036ISI: 000445987200046Scopus ID: 2-s2.0-85028029082OAI: oai:DiVA.org:mdh-41193DiVA, id: diva2:1256949
Available from: 2018-10-18 Created: 2018-10-18 Last updated: 2018-12-18Bibliographically approved

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Campana, Pietro EliaYan, Jinyue

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  • apa
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