Brenda Cansino-Loeza, José Maria Ponce-Ortega

The Water-Energy-Food Nexus (eBook, ePUB)

Optimization Models for Decision Making

• Format: ePub

Produktbeschreibung

The Water-Energy-Food Nexus: Optimization Models for Decision Making covers the discussion about water, energy, and food as a crucial resource for human well-being and for sustainable development. These resources are inextricable interrelated, therefore, to cover water, energy, and food demands in different sectors and at different scales, it must be considered several sources to produce resources even conventional or unconventional, and there must be considered the interlinkages of resources for a proper integration.

This book will emphasize several issues that must be considered in the design of water-energy-food nexus systems such as the selection of technologies to produce water or energy, size of technologies and food required to cover nutritional demands. Therefore, in The Water-Energy-Food Nexus: Optimization Models for Decision Making, mathematical models are presented for the design of water-energy-food nexus systems involving several strategies to account for issues like sustainable development, security of resources, interest in conflicts from stakeholders, and efficient allocation of resources.

• Includes different optimization models for the integration of water-energy-food nexus
• Considers sustainability criteria in the presented models
• Helps readers understand different approaches for trade-off solutions
• Presents general software that can be used in solving different problems

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 260
• Erscheinungstermin: 3. November 2023
• Englisch
• ISBN-13: 9780443135729
• Artikelnr.: 69297289

Autorenporträt

M.C. Brenda Cansino-Loeza received her master's degree in the Chemical Engineering Department in the Universidad Michoacana de San Nicolás de Hidalgo in Mexico in 2019. She stayed as a scholar researcher at Texas A&M University Currently, she is PhD Student at the Chemical Engineering Department in the Universidad Michoacana de San Nicolás de Hidalgo in Mexico. Her research interest is in optimization of water-energy-food nexus systems for the improvement of Sustainable Development Goals. She has published 11 papers and three book chapters.José María Ponce-Ortega is a Professor in the Chemical Engineering Department at the Universidad Michoacana de San Nicolás de Hidalgo, Mexico. He earned his Ph.D. and Master's degrees in Chemical Engineering from the Institute of Technology of Celaya, Mexico, in 2009 and 2003, respectively. He completed postdoctoral research at Texas A&M University, USA, and served as a visiting scholar at Carnegie Mellon University, USA. Dr. Ponce-Ortega is a full professor and a member of the National Research System of Mexico. His research focuses on the optimization of chemical processes, sustainable design, energy, mass, water, and property integration, and supply chain optimization. He has published more than 310 papers, five books, and 60 book chapters. He has supervised 30 Ph.D. students and 50 Master's students and secured funding for 15 research projects totaling approximately $1,000,000. Dr. Ponce-Ortega serves on the editorial boards of Clean Technologies and Environmental Policy and Process Integration and Optimization for Sustainability, and is a subject editor for Sustainable Production and Consumption, as well as associate editor in Frontiers in Chemical Engineering.

Inhaltsangabe

1. The water
energy
food nexus 2. Water
energy
food nexus security 3. Decision making and optimization models of the water
energy
food system 4. A Systematic Approach for Assessing the Water
Energy
Food Nexus for Sustainable Development 5. Involving the Water
Energy
Food Nexus in Integrating Low
Income Communities 6. Stochastic Optimization of the Water
Energy
Food Nexus in Disadvantaged Rural Communities 7. Sustainable Assessment of Water
Energy
Food Nexus Through a Multi
Stakeholder Optimization Approach 8. A water
energy
food security nexus framework based on optimal resource allocation