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Navigating Multisector Dynamics: Cha...

Ghaffari, Ali,

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Navigating Multisector Dynamics: Challenges and Solutions in the Regional Food-Energy-Water Nexus /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Navigating Multisector Dynamics: Challenges and Solutions in the Regional Food-Energy-Water Nexus // Ali Ghaffari.
Author:	Ghaffari, Ali,
Description:	1 electronic resource (213 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
Contained By:	Dissertations Abstracts International86-11B.
Subject:	Water resources management. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31997672
ISBN:	9798315734512

Navigating Multisector Dynamics: Challenges and Solutions in the Regional Food-Energy-Water Nexus /
Ghaffari, Ali,

Navigating Multisector Dynamics: Challenges and Solutions in the Regional Food-Energy-Water Nexus /Ali Ghaffari. - 1 electronic resource (213 pages)

Source: Dissertations Abstracts International, Volume: 86-11, Section: B.

The food-energy-water (FEW) nexus is characterized by bidirectional interconnections, where each component influences and is influenced by the others. These interdependencies can lead to critical challenges, including food insecurity, unmet energy demand, and water scarcity. To address these complexities, this dissertation presents an integrated modeling framework that captures the natural processes, human systems' operations and dynamic feedback mechanisms within the FEW nexus. This framework leverages agent-based modeling (ABM) approach to simulate the decision-making behaviors of individual agents, allowing for a more realistic representation of interactions among food, energy, and water sectors. By incorporating both human and physical system dynamics, the proposed approach provides deeper insights into resource management strategies under changing conditions. The first research topic examines how human decision-making influences capacity expansion planning in energy systems under climate change impacts. This is achieved by developing a two-way coupled model that integrates an ABM with a power dispatch model. The ABM represents power generation companies as individual agents with heterogeneous characteristics, capturing their decision-making processes and collective behavioral patterns. Additionally, this study explores how technological advancements and varying future energy demand projections shape agents' investment and expansion decisions. The second research topic shifts focus to another critical challenge of the FEW nexus: water scarcity. This study enhances existing drought prediction tools to support long-term, large-scale drought mitigation planning. To achieve this, we developed a predictive model that leverages remote sensing data to forecast agricultural droughts 12 months in advance. The model's performance was evaluated by comparing its predictions with widely used drought indicators, assessing drought extent, intensity, and stability. Finally, the third research topic combines the previous two topics and expands the scope of the FEW nexus analysis by incorporating energy, water and human system dynamics into an integrated modeling framework. Water plays a crucial role in both the energy and food sectors, serving as a cooling resource for natural gas power plants and as an irrigation source for farmers. By integrating a hydrological model with the ABM that represents both the energy and food sectors, we developed a three-way coupled framework that captures the bidirectional feedback among sectoral interdependencies of energy, water and human system under direct climate change and technology improvement scenarios. This study examines capacity expansion decisions in the energy sector and farmers' irrigation decisions under different technology evolution policies and a climate stress test, incorporating projections for temperature and precipitation. In summary, this dissertation develops a cohesive framework to untangle the complexities of the FEW nexus under climate change and water constraints by explicitly modeling human decision-making and sectoral interactions.

English

ISBN: 9798315734512Subjects--Topical Terms:

794747
Water resources management.
Subjects--Index Terms:

Agent-based modeling

Navigating Multisector Dynamics: Challenges and Solutions in the Regional Food-Energy-Water Nexus /
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520 $a The food-energy-water (FEW) nexus is characterized by bidirectional interconnections, where each component influences and is influenced by the others. These interdependencies can lead to critical challenges, including food insecurity, unmet energy demand, and water scarcity. To address these complexities, this dissertation presents an integrated modeling framework that captures the natural processes, human systems' operations and dynamic feedback mechanisms within the FEW nexus. This framework leverages agent-based modeling (ABM) approach to simulate the decision-making behaviors of individual agents, allowing for a more realistic representation of interactions among food, energy, and water sectors. By incorporating both human and physical system dynamics, the proposed approach provides deeper insights into resource management strategies under changing conditions. The first research topic examines how human decision-making influences capacity expansion planning in energy systems under climate change impacts. This is achieved by developing a two-way coupled model that integrates an ABM with a power dispatch model. The ABM represents power generation companies as individual agents with heterogeneous characteristics, capturing their decision-making processes and collective behavioral patterns. Additionally, this study explores how technological advancements and varying future energy demand projections shape agents' investment and expansion decisions. The second research topic shifts focus to another critical challenge of the FEW nexus: water scarcity. This study enhances existing drought prediction tools to support long-term, large-scale drought mitigation planning. To achieve this, we developed a predictive model that leverages remote sensing data to forecast agricultural droughts 12 months in advance. The model's performance was evaluated by comparing its predictions with widely used drought indicators, assessing drought extent, intensity, and stability. Finally, the third research topic combines the previous two topics and expands the scope of the FEW nexus analysis by incorporating energy, water and human system dynamics into an integrated modeling framework. Water plays a crucial role in both the energy and food sectors, serving as a cooling resource for natural gas power plants and as an irrigation source for farmers. By integrating a hydrological model with the ABM that represents both the energy and food sectors, we developed a three-way coupled framework that captures the bidirectional feedback among sectoral interdependencies of energy, water and human system under direct climate change and technology improvement scenarios. This study examines capacity expansion decisions in the energy sector and farmers' irrigation decisions under different technology evolution policies and a climate stress test, incorporating projections for temperature and precipitation. In summary, this dissertation develops a cohesive framework to untangle the complexities of the FEW nexus under climate change and water constraints by explicitly modeling human decision-making and sectoral interactions.
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650 4 $a Energy. $3 876794
650 4 $a Agriculture. $3 518588
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653 $a Agent-based modeling
653 $a Capacity expansion planning
653 $a Climate change
653 $a Drought
653 $a Renewable penetration
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690 $a 0473
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710 2 $a Lehigh University. $b Civil Engineering. $e degree granting institution. $3 3826280
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