A multi-objective assessment for the water-energy-food nexus for rural distributed energy systems

Rodríguez-Gutiérrez, Jesús Eduardo; Castillo-Molar, Abril; Fuentes-Cortés, Luis Fabián

doi:10.1016/j.seta.2022.101956

Cited by 6 publications

(3 citation statements)

References 51 publications

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“…Among the widely used methods mentioned above, the optimization methods can effectively establish the nexus relationship and obtain the optimal combination of policy options and parameters, so as to achieve the best performance of the system (Karnib, 2017). Previously, a number of bi‐level and multi‐objective programming methods incorporating uncertainty analysis techniques (e.g., fuzzy and stochastic programming) were proposed to optimize water‐related nexus to maximize system benefit (or minimize system cost), improve resources utilization efficiency, reflect various uncertainties, and make tradeoffs between different interests (Bieber et al., 2018; Enayati et al., 2021; Li et al., 2017; Ma et al., 2020; Peña‐Torres et al., 2022; Rodríguez‐Gutiérrez et al., 2022). For example, Cansino‐Loeza and Ponce‐Ortega (2021) developed a multi‐objective optimization framework to manage the WFE nexus considering economic activities of industry, agriculture and livestock farming.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Ma,

Li,

Huang

et al. 2024

Water Resources Research

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Collaborative management of the water‐energy‐food‐ecosystems (WEFE) nexus can contribute significantly to sustainable development. However, multiple decision‐making levels with diverse preferences and multiple uncertainties in different forms pose intractable challenges to the management process. In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. MCFP has advantages in evaluating trade‐offs among multiple competitive decision makers, solving decentralized planning problems with hierarchical structure, and tackling uncertainties expressed as randomness and vagueness. MCFP is then applied to the WEFE nexus in Central Asia, where five countries, 43 states, six water sources, and eight water users are involved over a long‐term planning horizon (2021–2050). A set of scenarios are designed to reflect decision‐making preferences based on different irrigation efficiencies, food, ecological and electricity demands as well as constraint‐violation probability and system credibility levels. The major findings are: (a) the proportion of agricultural water allocation would reduce to 45.4%–56.6% by 2050 to save more water for ensuring ecological restoration and energy supply; and (b) in order to balance water demands and support regional sustainable development, policymakers should sacrifice some of the benefits, set strict arable land limits for cereal crops, improve irrigation efficiency through adopting drip and sprinkler irrigation, and avoid the effects of the irrigation efficiency paradox. The findings are helpful for policymakers in gaining insight into the interrelationships of water, energy, food and ecosystems as well as making decisions for collaborative management of the WEFE nexus system.

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Section: Introductionmentioning

confidence: 99%

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Ma,

Li,

Huang

et al. 2024

Water Resources Research

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“…Lately, the ideal of utopia-tracking MoMPC was also introduced into the field of integrating process design and control for complex non-linear systems [20,21]. Furthermore, from the application perspective, in recent years, the utopia-tracking MoMPC has been widely used in various fields, such as microbial manufacturing processes [2], intelligent transportation systems [22], wastewater treatment processes [23], wet flue gas desulphurization processes [24], and the assessment of rural distributed energy systems [25].…”

Section: Introductionmentioning

confidence: 99%

Robust multi‐objective model predictive control for constrained nonlinear systems with disturbances

Wu,

Xue,

Liu

2023

IET Control Theory & Appl

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This work develops a new robust multi‐objective model predictive control (MoMPC) strategy for constrained non‐linear systems with bounded disturbances. The multiple objectives are always contradictory, and the presence of disturbances may result in the violation of state constraints and instability of the controlled system. Firstly, the conflict between multiple objectives is reconciled by minimizing the distance of the cost function vector to the vector of independently minimised objectives obtained by solving a set of steady‐state optimisation problems. Then the contractive state set, which takes into account the effect of disturbances on system states, is constructed to guarantee the robust satisfaction of state constraints. Finally, a stability constraint updated online by solving an auxiliary optimization problem is established to ensure the robust stability of the system under MoMPC. An isothermal chemical reactor system is employed to verify the effectiveness of the controller proposed here.

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“…Chemical contamination of water bodies and water shortages due to overexploitation have increased the need for effective water treatment and decontamination processes. However, current methods of removing pathogens, organic impurities, and salts from water require large amounts of energy [1,2]. Moreover, new contaminants appear in rivers because of the generation of new chemicals at a high rate [3].…”

Section: Introductionmentioning

confidence: 99%

Dual Crosslinking of Low-Methoxyl Pectin by Calcium and Europium for the Simultaneous Removal of Pharmaceuticals and Divalent Heavy Metals

Martínez-Sabando¹,

Coin²,

Raposo³

et al. 2023

Preprint

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A multi-objective assessment for the water-energy-food nexus for rural distributed energy systems

Cited by 6 publications

References 51 publications

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Robust multi‐objective model predictive control for constrained nonlinear systems with disturbances

Dual Crosslinking of Low-Methoxyl Pectin by Calcium and Europium for the Simultaneous Removal of Pharmaceuticals and Divalent Heavy Metals

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