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How to design organic Rankine cycle system under fluctuating ambient temperature: A multi-objective approach

机译：如何在波动环境温度下设计有机朗肯循环系统：多目标方法

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摘要

Affected by the fluctuating ambient temperature, the organic Rankine cycle (ORC) system deviates from the design point during operation, resulting in the deterioration of system performance. How to design the best ORC system considering the fluctuating ambient temperature is an important and challenging topic. This study proposes a multi-objective approach to determine the optimal design of the ORC system, based on hourly off-design operating conditions. The concept of optimal design ambient temperature (T-a,opt(d)) is introduced to represent the optimal design of multiple system parameters. Its specific value, the relationship with the ambient characteristics, and the variation for three different target variables and two ORC configurations are revealed. The results of 15 cities in different climate zones indicate that, although the average value of annual ambient temperature (T-av) itself is not the best system design point, it significantly affects the value of T-a,opt(d). To maximize the lifetime electricity generation, Tda, opt should be designed to be 5 degrees C lower than T-av. In contrast, if the optimization objective is to maximize the net present value, T-a,opt(d) should be 5 degrees C higher than T-a,opt(d). Moreover, compared with the conventional approach where the design ambient temperature is 20 degrees C or T-av, using T-a,opt(d) can increase the electricity production by 7% and 0.8%, respectively. Furthermore, the effects of electricity market parameters including the discount rate and electricity price on the optimal design are also revealed in the sensitivity analysis.
机译：受到波动的环境温度影响，有机朗肯循环（ORC）系统在操作期间偏离设计点，导致系统性能的恶化。考虑到波动环境温度的最佳兽人系统是一种重要而挑战性的主题。本研究提出了一种基于每小时非设计操作条件来确定ORC系统的最佳设计的多目标方法。介绍了最佳设计环境温度的概念（T-A，opt（D））以表示多系统参数的最佳设计。其特定的值，与环境特征的关系，以及三种不同目标变量的变化和两个兽人配置。不同气候区15个城市的结果表明，虽然年环境温度（T-AV）本身的平均值不是最佳的系统设计点，但它显着影响T-A，OPT（D）的值。为了最大限度地提高寿命电力，TDA，opt应设计为5度小于T-AV。相反，如果优化目标是最大化净现值，则T-A，opt（d）应高于T-A，选择OPT（D）。此外，与使用T-A的设计环境温度为20摄氏度或T-AV的常规方法相比，OPT（D）可以分别将电力产量增加7％和0.8％。此外，在敏感性分析中也揭示了电力市场参数的影响，包括最佳设计上的折扣率和电价。

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