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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >Optimization techniques for coupling renewable/hybrid energy options with desalination systems for carbon footprint reduction
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Optimization techniques for coupling renewable/hybrid energy options with desalination systems for carbon footprint reduction

机译：用于碳足迹碳足迹耦合可再生/混合能源选择的优化技术

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摘要

In light of the global concerns for increased greenhouse gas (GHG) emissions, the industrial market is shifting towards more environmentally friendly processes, to meet strict emission standards. Although many studies have addressed the problem of carbon footprint reduction in desalination processes through the replacement of standard fossil fuel options with renewable energy sources, to date, none of these assessment methods have captured the effects of imposing different carbon reduction targets on the optimal design of desalination systems, and their respective energy sources. This paper proposes an optimization-based technique for the design of cost-effective desalination networks, integrated with renewable energy sources, subject to different carbon reduction targets. The presented methodology is capable of identifying optimum configurations for an integrated system that combines desalination options with renewable/hybrid energy technologies, whilst ultimately satisfying the water and energy demand that is required from the entire system. The importance of this approach lies in its ability to guide decision-making activities for such networks. A Mixed Integer Nonlinear Program (MINLP) has been proposed, which ultimately allows for the selection of the best mix between desalination technologies, and associated energy sources, based on a required carbon emission target. The proposed model has been illustrated using a case study, and the sensitivity of attained designs has been studied with respect to a number of key operating parameters. (C) 2019 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译：鉴于全球对温室气体（GHG）排放量增加的担忧，工业市场正在转向更环保的流程，以满足严格的排放标准。迄今为止，许多研究通过更换标准化石燃料选择来解决了碳足迹减少的碳足迹减少的问题，迄今为止，这些评估方法都没有捕获对最佳设计施加不同的碳减排目标的影响海水淡化系统及其各自的能源。本文提出了一种基于优化的技术，用于设计具有成本效益的海水淡化网络，与可再生能源集成，受不同的碳还原目标。所提出的方法能够识别用于将脱盐选项与可再生/混合能源技术相结合的集成系统的最佳配置，同时最终满足整个系统所需的水和能量需求。这种方法的重要性在于指导该网络的决策活动的能力。已经提出了一种混合整数非线性程序（MINLP），这最终允许基于所需的碳排放目标选择脱盐技术和相关能源之间的最佳混合。已经使用案例研究说明了所提出的模型，并且已经研究了所获得的设计的敏感性已经相对于许多关键操作参数研究。 （c）2019化学工程师机构。 elsevier b.v出版。保留所有权利。

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