A complete decision-support infrastructure for food waste valorisation

被引:11
|
作者
Sheppard, Phil [1 ]
Garcia-Garcia, Guillermo [1 ,2 ]
Stone, Jamie [1 ]
Rahimifard, Shahin [1 ]
机构
[1] Loughborough Univ, Ctr Sustainable Mfg & Recycling Technol, Loughborough LE11 3TU, Leics, England
[2] Univ Sheffield, Chem & Biol Engn, Sheffield S1 3JD, S Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
Food waste; Valorisation; Process engineering; Reaction pathways; Decision-support; Biorefining; AIDED MOLECULAR DESIGN; PROGRAMMING FORMULATION; BIOREFINERY; OPTIMIZATION; SELECTION;
D O I
10.1016/j.jclepro.2019.119608
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The quantity of energy and materials embodied in food means that wasting a third of it, which is the level of inefficiency reached according to studies in recent years, impacts negatively on living standards at whatever level they are around the world. An increased level of consciousness about the issue has stimulated initiatives to address it, leading, sensibly, to the development of decision-making systems to support proper management of the materials. Here, we present the first review and evaluation of four recently developed systems targeting food waste. These tools broadly embody a logical model which identifies and quantifies food waste flows at different scales, characterises them, identifies appropriate conversion technologies, and enables assessment of the economic, environmental and social effects of different pathway options, along with other factors to provide a final fit with the circumstances of each owner of the food waste. Our review concludes that these tools are necessary but not sufficient to lift the management of food waste from a grossly sub-optimal level to a system which would be recognised by pre-and emerging-industrial generations but with valorisations of much higher value. Specifically, we identify knowledge-based elements of a management system which would be free of specific supply chain context and therefore have much greater power to direct resources affordably for maximum economic, environmental and social value. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页数:15
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