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A review of heat integration approaches for organic rankine cycle with waste heat in production processes

机译:生产过程中有机朗朗循环热集成方法综述

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Production systems represent a significant source of waste heat. The waste heat cannot be reused often. Many optimization methods can give a solution for waste heat recovery. However, the results do not depend only on the method. The low-temperature waste heat makes difficulties for its recovery within the processes. Organic Rankine Cycle units can be used for low-temperature heat transformation into electricity. Linking the Organic Rankine Cycle within the heat integrated system is not simple. This depends on the influence of a few important factors. The process parameters of the working medium, the physical and chemical characteristics of the working fluid, the continuity of heat supply, and the temperature level of waste heat are necessary conditions that must be included in optimization. The optimization method should determine the optimal operating point of the Organic Rankine Cycle. The displacement of the operating point leads to decrease in the effective transformation of heat into electricity. These problems are analyzed through a review of the methods and approaches used for the integration of Organic Rankine Cycle in thermal process systems. These include Pinch technology, Non Linear Programming, Multiple Integer Linear Programming, Genetic Algorithm, Artificial Neural Network and many different approaches for polygeneration systems. All methods were compared and systematized in a general scheme for integration of an Organic Rankine Cycle with low-temperature industrial waste heat supply. This work also includes experience in implemented and designed projects of an integrated Organic Rankine Cycle.
机译:生产系统代表了废热的重要来源。浪费不能经常重复使用。许多优化方法可以提供废热回收的解决方案。但是,结果仅依赖于该方法。低温余热使难以在过程中恢复。有机朗肯循环单元可用于低温热变换为电力。在热集成系统内连接有机朗肯循环并不简单。这取决于一些重要因素的影响。工作介质的过程参数,工作流体的物理和化学特性,供热的连续性,以及废热的温度水平是必须包括在优化中的必要条件。优化方法应确定有机朗肯循环的最佳操作点。操作点的位移导致对电力的有效转化减小。通过审查用于在热处理系统中集成有机朗肯循环的方法和方法的方法和方法来分析这些问题。这些包括捏合技术,非线性编程,多个整数线性编程,遗传算法,人工神经网络以及多种多说系统的许多不同方法。将所有方法与一般方案进行比较和系统化,以将有机兰敏循环与低温工业废料供热整合。这项工作还包括实施和设计的集成有机朗肯循环的经验。

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