The Food-Energy-Water Nexus in Sustainable Energy Systems Solutions

Martino, Marcello Di; Allen, R. Cory; Pistikopoulos, Efstratios N.

doi:10.1007/978-3-030-72322-4_168-1

Handbook of Smart Energy Systems 2022

DOI: 10.1007/978-3-030-72322-4_168-1

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The Food-Energy-Water Nexus in Sustainable Energy Systems Solutions

Marcello Di Martino

R. Cory Allen²,

Efstratios N. Pistikopoulos³

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2024

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Cited by 1 publication

References 45 publications

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Uncertainty and Complexity Considerations in Food-Energy-Water Nexus Problems

Martino,

Linke,

Pistikopoulos

2024

Systems and Control Transactions

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The food-energy-water nexus (FEWN) has been receiving increasing interest in the open literature as a framework to address the widening gap between natural resource availability and demand, towards more sustainable and cost-competitive solutions. The FEWN aims at holistically integrating the three interconnected subsystems of food, energy and water, into a single representative network. However, such an integration poses formidable challenges due to the complexity and multi-scale nature of the three subsystems and their respective interconnections. Additionally, the significant input data uncertainty and variability, such as energy prices and demands, or the evaluation of emerging technologies, contribute to the system�s inherent complexity. In this work, we revisit the FEWN problem in an attempt to elucidate and address in a systematic way issues related to its multi-scale complexity, uncertainty and variability. In particular, we provide a classification of the sources of data and technology uncertainty from historic data, forecasting and process parameters, and propose ways to quantify their impact on the integrated system analysis. To effectively tame the FEWN�s multi-scale complexity, we distinguish between the introduced error of approximation and optimization of employed surrogate models. In turn, it is possible to characterize their impact on optimal FEWN decision-making based on the quantification of the introduced errors at all levels. Thus, we present strategies to systematically characterize FEWN process systems modeling and optimization. Ultimately, this facilitates translating obtained solutions into actionable knowledge by quantifying the level of confidence one can have in the derived process model and optimal results.

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Uncertainty and Complexity Considerations in Food-Energy-Water Nexus Problems

Martino,

Linke,

Pistikopoulos

2024

Systems and Control Transactions

View full text Add to dashboard Cite

show abstract

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The Food-Energy-Water Nexus in Sustainable Energy Systems Solutions

Cited by 1 publication

References 45 publications

Uncertainty and Complexity Considerations in Food-Energy-Water Nexus Problems

Uncertainty and Complexity Considerations in Food-Energy-Water Nexus Problems

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