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The Energy Extended Resource Task Network, a general formalism for the modeling of Production systems:Application to waste heat valorization
Energy ( IF 9.0 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.energy.2020.118970
Raphaële Théry Hétreux , Gilles Hétreux , Pascal Floquet , Alexandre Leclercq

Abstract While real-time control of process plays an important role, it is now increasingly necessary to forecast and plan production systems in order to be energy efficient and to ensure a balance between energy demand and production. In this context, a short-term planning approach of energy supply chain is presented in this paper. Because of the presence of enthalpy balance in the optimization model, the core of this system is based on the formulation and the resolution of a Mixed-Integer Non Linear Programming (MINLP) model. To facilitate the instantiation of this optimization model and its adaptation to different kinds of value chain, a specific graphical formalism named Energy Extended Resource Task Network (EERTN) is exploited. This generic framework makes it possible to model in an unambiguous way the material and energy flows passing through any type of production system. In addition, it takes into account the influence of temperature on the physicochemical phenomena involved in the process. To illustrate the potentiality of this modelling framework, it is applied to a case study aimed at carrying out the operational planning and performance evaluation of a waste heat recovery chain. This system consists, on the one hand of an industrial unit whose heat requirements are provided by a steam utility plant, and on the other hand, of a district heating network (DHN). In this study, the problem consists to optimally plan the energy use of the district heating network by recovering the flus gas (the waste heat) from the industrial site’s power plant. The planning system leads to a significant reduction in the primary fuel consumption of the overall system and an efficient exploitation of the waste heat generated by the industrial site.

中文翻译:

能源扩展资源任务网络,生产系统建模的一般形式:在余热利用中的应用

摘要 虽然过程的实时控制起着重要作用,但现在越来越需要预测和规划生产系统,以提高能源效率并确保能源需求和生产之间的平衡。在此背景下,本文提出了能源供应链的短期规划方法。由于优化模型中存在焓平衡,因此该系统的核心是基于混合整数非线性规划 (MINLP) 模型的公式和分辨率。为了促进该优化模型的实例化及其对不同类型价值链的适应,开发了一种名为能源扩展资源任务网络 (EERTN) 的特定图形形式。这种通用框架可以以明确的方式对通过任何类型的生产系统的材料和能量流进行建模。此外,它还考虑了温度对过程中涉及的物理化学现象的影响。为了说明该建模框架的潜力,将其应用于旨在执行废热回收链的运营规划和性能评估的案例研究。该系统一方面由一个工业单元组成,其热量需求由蒸汽公用事业厂提供,另一方面由区域供热网络 (DHN) 组成。在本研究中,问题包括通过回收工业现场发电厂的烟气(废热)来优化规划区域供热网络的能源使用。
更新日期:2021-01-01
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