规划粮食-能源-水-废物(FEW2)关系促进可持续发展

Bowen Feng, Koen H. van Dam, Miao Guo, Nilay Shah, Stephen Passmore, Xiaonan Wang
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引用次数: 21

摘要

在系统层面解决食物-能源-水-废物(FEW2)关系对于可靠的基础设施规划至关重要。本文介绍了弹性的适用性。io平台横跨水、能源和废物部门(包括食品和农业废物),重点关注废物转化为能源的途径,旨在根据经济和环境指标建立最佳的低碳排放关系。评估了一系列丰富的技术选择,包括水生产设施、清洁能源技术和废物转化为能源,以满足水和能源(主要是天然气和电力)的需求以及废物和废水的处理要求。本研究以澳大利亚最大的地区亨特地区为例,以发达国家的供需背景为特征。从单个节点和整个系统的角度,创建了一整套场景,包括照常运营(BAU)、水和废水、发电厂退役、废物转化为能源和政策干预。研究结果表明,厌氧消化和气化产生沼气和合成气对废物转化为能源的途径有好处,同时在水和能源部门也有发现。然后,分析的结果可以形成涉及相关利益相关者的区域规划的基础,建模工具支持情景评估和协作学习,以便根据不同的绩效指标(包括财务和环境指标)达成共识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Planning of Food-Energy-Water-Waste (FEW2) nexus for sustainable development

It is critical for reliable infrastructure planning to address the Food-Energy-Water-Waste (FEW2) nexus at system level. This paper presents the applicability of resilience.io platform across water, energy and waste sectors (including food and agricultural waste) with focus on waste-to-energy pathway, aiming to establish the optimal FEW2 nexus based on economic and environmental indicators. A rich array of technology options, including water production facilities, clean energy technologies and waste-to-energy conversions are evaluated to meet the demand of water and energy (mainly gas and electricity), and the treatment requirement of waste and wastewater. A case study of Hunter Region, the largest region in Australia, is presented in this study, featuring the supply and demand context of developed countries. A full set of scenarios, including business-as-usual (BAU), water and wastewater, power plant decommission, waste-to-energy and policy intervention, is created to present FEW2 nexus from the perspective of individual nodes and the whole system. The results signal the benefits of biogas and syngas generation from anaerobic digestion and gasification for waste-to-energy pathway, alongside findings in water and energy sectors. The outcome of this analysis can then form the foundation of regional planning involving relevant stakeholders, with the modelling tools supporting scenario evaluation and collaborative learning to reach consensus in view of different performance indicators including financial and environmental metrics.

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