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Optimization-Based Systems Modeling for the Food-Energy-Water Nexus

  • Energy Markets (R Sioshansi and A Mousavian, Section Editors)
  • Published:
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Abstract

Purpose of Review:

Optimization-based methods for the food-energy-water nexus can assist decision-making on critical infrastructure but are limited in scope and applicability. We provide an overview of optimization-based systems modeling techniques for operations researchers and systems modelers for the nexus.

Recent Findings:

We find that the literature has contributed to the understanding of nexus interdependencies and has provided a framework for sustainability studies. We observe that the majority of the papers expand bottom-up models for one or two nexus components into the three, which may lead to asymmetric representation of the three sectors. Socioeconomic and political economy drivers are often exogenous to the models.

Summary:

The vast majority of papers can be further enhanced to account for local priorities, and the underlying decision-making process of stakeholders across the supply chains and at the interdependencies. Greater regional downscaling and technological detail along with more robust data could also enhance nexus systems modeling.

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Notes

  1. The nexus is also referred to as food-energy-water (FEW) or energy-water-food (EWF), see [16,17,18].

  2. Urbinatti et al. [23] report 1455 nexus-related papers.

  3. International Food Policy Research Institute (IFPRI).

  4. Model of Agricultural Production and its Impact on the Environment (MAgPIE).

  5. Global Change Assessment Model (GCAM).

  6. Integrated Model to Assess the Global Environment (IMAGE).

  7. FEW-nexus systems applications include neural networks [87], Dynamic Bayesian Networks [88], genetic algorithms [89], Differential Evolution [90], and Reinforcement Learning [91].

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Authors and Affiliations

  1. Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA

    Charalampos Avraam

  2. Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, 20740, USA

    Ying Zhang

  3. Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montreal, QC, Canada

    Sriram Sankaranarayanan

  4. Department of Earth & Planetary Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA

    Benjamin Zaitchik

  5. Johns Hopkins School of Public Health, Johns Hopkins University, Baltimore, MD, 21218, USA

    Emma Moynihan & Roni Neff

  6. Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA

    Prathibha Juturu

  7. Department of Environmental Science, American University, Washington, DC, 20016, USA

    Sauleh Siddiqui

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Avraam, C., Zhang, Y., Sankaranarayanan, S. et al. Optimization-Based Systems Modeling for the Food-Energy-Water Nexus. Curr Sustainable Renewable Energy Rep 8, 4–16 (2021). https://doi.org/10.1007/s40518-020-00161-5

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  • DOI: https://doi.org/10.1007/s40518-020-00161-5

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