Two-Stage Land Use Optimization for A Food-Energy-Water Nexus System: A Case Study In Texas Edwards Region

Yaling Nie, Styliani Avraamidou, Xin Xiao, Efstratios N. Pistikopoulos, Jie Li

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


    Efficient land use planning and scheduling in Food-Energy-Water Nexus (FEW-N) related systems is a complicated decision-making problem with resource competitions and conflicting objectives. Systematic thinking based on FEW-N is a necessity for modeling and optimization of the systems. However, challenges arise in making decisions while encountering conflicting objectives, multi-scale and multi-period problems, and multiple stakeholders. To address these challenges, we developed a generic optimization-based land allocation approach, which provides i) a composite FEW-N metric to help solve the multi-objective optimization problem and carry out assessments, and ii) a two-stage decomposition strategy to solve the multi-scale and multi-period planning and scheduling problem. The developed strategy was applied in a case study within the Texas Edwards Region. Computational results indicate that the approach can provide a comprehensive FEW-N metric to select strategies for optimal land allocation and limit stresses in the FEW-N, and achieve trade-off solutions for the multi-scale and multi-period FEW land use systems.

    Original languageEnglish
    Title of host publicationComputer Aided Chemical Engineering
    PublisherElsevier BV
    Number of pages6
    Publication statusPublished - 2019

    Publication series

    NameComputer Aided Chemical Engineering
    ISSN (Print)1570-7946


    • Food-Energy-Water Nexus
    • Land use optimization
    • multi-period planning


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