Literature DB >> 28686428

Insight-Based Approach for the Design of Integrated Local Food-Energy-Water Systems.

Melissa Yuling Leung Pah Hang1, Elias Martinez-Hernandez2, Matthew Leach1, Aidong Yang3.   

Abstract

Society currently relies heavily on centralized production and large scale distribution infrastructures to meet growing demands for goods and services, which causes socioeconomic and environmental issues, particularly unsustainable resource supply. Considering local production systems as a more sustainable alternative, this paper presents an insight-based approach to the integrated design of local systems providing food, energy, and water to meet local demands. The approach offers a new hierarchical and iterative decision and analysis procedure incorporating design principles and ability to examine design decisions, in both synthesis of individual yet interconnected subsystems and integrated design of resource reuse across the entire system. The approach was applied to a case study on design of food-energy-water system for a locale in the U.K.; resulting in a design which significantly reduced resource consumption compared to importing goods from centralized production. The design process produced insights into the impact of one decision on other parts of the problem, either within or across different subsystems. The result was also compared to the mathematical programming approach for whole system optimization from previous work. It was demonstrated that the new approach could produce a comparable design while offering more valuable insights for decision makers.

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Year:  2017        PMID: 28686428     DOI: 10.1021/acs.est.7b00867

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  1 in total

1.  Coupling and Coordination Degrees of the Core Water⁻Energy⁻Food Nexus in China.

Authors:  Shasha Xu; Weijun He; Juqin Shen; Dagmawi Mulugeta Degefu; Liang Yuan; Yang Kong
Journal:  Int J Environ Res Public Health       Date:  2019-05-11       Impact factor: 3.390

  1 in total

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