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A P-graph model for multi-period optimization of sustainable energy systems

机译:可持续能源系统多周期优化的P图模型

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Deployment of efficient, integrated energy systems can make a substantial contribution to reduction in greenhouse gas emissions. Such systems are suitable for the provision of distributed energy supply in remote areas, and offer the advantages of compactness and operational flexibility. Also, the simultaneous production of multiple products provides the opportunity for Process Integration, thus leading to improved fuel efficiency and reduced carbon emissions. Process Systems Engineering methods can be applied for the synthesis of such sustainable energy systems. For example, process graph (or P-graph) models have previously been developed for synthesizing single-period polygeneration systems based on the Process Network Synthesis framework. In this work, a P-graph model for multi-period optimization of sustainable energy systems is developed. The model is able to synthesize flexible systems that can cope with changes in the availability of raw material supply and variations in product demand. In addition, the P-graph model is also capable of generating near-optimal solutions, which provide insights that may be significant to decision-makers, such as structural features that are common to a range of good solutions. Two case studies are presented to demonstrate the approach developed in this work. (C) 2017 Elsevier Ltd. All rights reserved.
机译:部署有效的集成能源系统可以为减少温室气体排放做出巨大贡献。这样的系统适合于在偏远地区提供分布式能源供应,并且具有紧凑和操作灵活性的优点。同样,同时生产多种产品也为流程集成提供了机会,从而提高了燃油效率并减少了碳排放。过程系统工程方法可以应用于此类可持续能源系统的综合。例如,以前已经开发了过程图(或P图)模型,用于基于过程网络综合框架来合成单周期多代发电系统。在这项工作中,开发了用于可持续能源系统的多周期优化的P图模型。该模型能够综合灵活的系统,以应对原材料供应的可用性变化和产品需求的变化。此外,P图模型还能够生成接近最佳的解决方案,从而提供对决策者可能重要的见解,例如一系列良好解决方案共有的结构特征。提出了两个案例研究,以说明这项工作中开发的方法。 (C)2017 Elsevier Ltd.保留所有权利。

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