Environmental impact assessment for a meta-model-based food-energy-water-nexus system

A growing global population uses essential resources such as food, energy, and water to drive economic growth. However, population growth, urbanization, and human activities strain these limited resources, resulting in serious harm, particularly from global warming and climate change. Sustainable re...

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Main Authors: Omolola A. Ogbolumani, Nnamdi I. Nwulu
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723015573
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author Omolola A. Ogbolumani
Nnamdi I. Nwulu
author_facet Omolola A. Ogbolumani
Nnamdi I. Nwulu
author_sort Omolola A. Ogbolumani
collection DOAJ
description A growing global population uses essential resources such as food, energy, and water to drive economic growth. However, population growth, urbanization, and human activities strain these limited resources, resulting in serious harm, particularly from global warming and climate change. Sustainable resource allocation in the Nexus system is required for improved resource security. This issue is essential since it impacts resource management, sustainability, and the environment. This research proposes developing an integrated assessment model (IAM) for the FEW-N system. The system undergoes a comprehensive evaluation that considers sustainability, economics, social aspects, and the environment. This evaluation combines an environmental impact assessment with a meta-model-based approach to the FEW-N system. A multi-objective optimization model is utilized to optimize the system with three key targets: maximum economic benefit, positive environmental impact, and least negative environmental impact. The findings show significant improvements in resource security within a community-level FEW-N system, with the Nexus system sectors contributing to both food and energy security. Greenhouse farming, rainfed farming, and irrigated farming supply 55.6%, 11.9%, and 32.5% of food security, respectively. Similarly, bioenergy, solar/wind hybrid renewable energy, and hydropower contribute 52.7%, 40.1%, and 7.2% of total energy security, respectively. The FEW-N system optimizes resource allocation for sustainability, reliability, and efficiency while emphasizing the specific contributions of diverse sectors to food and energy security. These findings provide critical insights for making educated resource allocation policy decisions in South Africa, emphasizing balancing societal, economic, and environmental factors. The study has increased the evidence base for the FEW-N environmental impact assessment framework to address resource allocation issues.
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spelling doaj.art-50400aeb49c74af694864026933e1fd32023-12-06T04:17:32ZengElsevierEnergy Reports2352-48472024-06-0111218232Environmental impact assessment for a meta-model-based food-energy-water-nexus systemOmolola A. Ogbolumani0Nnamdi I. Nwulu1Corresponding author.; Center for Cyber Physical Food, Energy and Water Systems (CCP-FEWS), University of Johannesburg, Auckland Park 2006, South AfricaCenter for Cyber Physical Food, Energy and Water Systems (CCP-FEWS), University of Johannesburg, Auckland Park 2006, South AfricaA growing global population uses essential resources such as food, energy, and water to drive economic growth. However, population growth, urbanization, and human activities strain these limited resources, resulting in serious harm, particularly from global warming and climate change. Sustainable resource allocation in the Nexus system is required for improved resource security. This issue is essential since it impacts resource management, sustainability, and the environment. This research proposes developing an integrated assessment model (IAM) for the FEW-N system. The system undergoes a comprehensive evaluation that considers sustainability, economics, social aspects, and the environment. This evaluation combines an environmental impact assessment with a meta-model-based approach to the FEW-N system. A multi-objective optimization model is utilized to optimize the system with three key targets: maximum economic benefit, positive environmental impact, and least negative environmental impact. The findings show significant improvements in resource security within a community-level FEW-N system, with the Nexus system sectors contributing to both food and energy security. Greenhouse farming, rainfed farming, and irrigated farming supply 55.6%, 11.9%, and 32.5% of food security, respectively. Similarly, bioenergy, solar/wind hybrid renewable energy, and hydropower contribute 52.7%, 40.1%, and 7.2% of total energy security, respectively. The FEW-N system optimizes resource allocation for sustainability, reliability, and efficiency while emphasizing the specific contributions of diverse sectors to food and energy security. These findings provide critical insights for making educated resource allocation policy decisions in South Africa, emphasizing balancing societal, economic, and environmental factors. The study has increased the evidence base for the FEW-N environmental impact assessment framework to address resource allocation issues.http://www.sciencedirect.com/science/article/pii/S2352484723015573Environmental impact assessmentFood-energy-water-nexusIntegrated assessment modelMulti-objective optimizationResource securitySustainability
spellingShingle Omolola A. Ogbolumani
Nnamdi I. Nwulu
Environmental impact assessment for a meta-model-based food-energy-water-nexus system
Energy Reports
Environmental impact assessment
Food-energy-water-nexus
Integrated assessment model
Multi-objective optimization
Resource security
Sustainability
title Environmental impact assessment for a meta-model-based food-energy-water-nexus system
title_full Environmental impact assessment for a meta-model-based food-energy-water-nexus system
title_fullStr Environmental impact assessment for a meta-model-based food-energy-water-nexus system
title_full_unstemmed Environmental impact assessment for a meta-model-based food-energy-water-nexus system
title_short Environmental impact assessment for a meta-model-based food-energy-water-nexus system
title_sort environmental impact assessment for a meta model based food energy water nexus system
topic Environmental impact assessment
Food-energy-water-nexus
Integrated assessment model
Multi-objective optimization
Resource security
Sustainability
url http://www.sciencedirect.com/science/article/pii/S2352484723015573
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