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An MILP model for the simultaneous design of mass and heat networks of a collaborative eco-industrial park

机译:同时设计了协同生态工业园区质量和热网络的摩洛族摩尔普模型

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Process integration methodologies have greatly addressed the issue of designing optimal heat and mass recovery networks at the process scale. Lately, with the advent of the concept of industrial ecology, the interest for exploring untapped synergies between industrial sites has arisen; aiming at reducing their resources consumption and the operating costs; thus, forming an eco-industrial park (EIP). In such structure, sharing resources can be done either directly or indirectly through intermediate networks for economic or safety reasons. In this perspective, a new model has been developed to design heat and mass recovery networks between industrial sites on a territorial scale. Based on an MILP model (Ghazouani et al., 2017) optimizing recovery networks at a process scale, specific concepts are added enabling exchanges between companies (sites, clusters, and intermediate mass and heat networks). The purpose is to find a collaborative partnership denned by a global economic objective without taking into account individual economic strategies. A case study is developed based on a virtual industrial zone containing three independent processes found in the literature. In addition, potential interactions with urban water and heat networks are considered in this case study. Finally, an additional opportunity to use low grade heat locally via a thermal membrane distillation unit and to transform it into fresh water is introduced. A sequentialmethodology is proposed consisting of first optimizing individual cluster. Then, the remaining requirements met by external utilities as well as the wastes not recovered internally in each cluster are made available to others through the intermediate networks. Overall, despite the sharp increase in capital costs, the optimal EIP manages to be profitable in many considered scenarios. The cooling utility savings are very important in all the cases (more than 80% of the operating costs). The marginal heat and water costs for the urban networks are very competitive. This suggests that, in this case of a cooperative relationship between industrial sites, the sharing and selling of resources and wastes can be profitable.
机译:过程集成方法极大地解决了在过程规模上设计最佳热量和质量恢复网络的问题。最近,随着工业生态学概念的出现,出现了探索工业场地之间未开发协同效应的兴趣;旨在降低资源消费和运营成本;因此,形成生态工业园(EIP)。在这种结构中,共享资源可以通过中间网络直接或间接地完成经济或安全原因。在这种观点中,已经开发了一种新模型,以在地域规模上设计工业部位之间的热量和质量恢复网络。基于MILP模型(Ghazouani等,2017)以过程规模优化恢复网络,在公司(站点,集群和中间质量和热网络)之间增加了特定概念。目的是在不考虑个人经济策略的情况下,找到一个由全球经济目标谴责的合作伙伴关系。基于包含在文献中发现的三种独立进程的虚拟工业区开发了案例研究。此外,在这种情况下,考虑了与城市水和热网络的潜在相互作用。最后,引入了通过热膜蒸馏装置局部使用低级热的额外机会并将其转化为淡水。提出了一种顺序方法,其由首先优化单个群集组成。然后,通过中间网络将外部实用程序满足的剩余需求以及在每个群集中未在内部恢复的废物。总体而言,尽管资本成本急剧增加,但最佳EIP在许多被认为的情景中赚取有利可图。在所有情况下,冷却效用节省非常重要(超过80%的运营成本)。城市网络的边际热量和水成本非常具竞争力。这表明,在这种情况下,工业场地之间的合作关系,资源和废物的共享和销售可以有利可图。

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