Thermodynamic analysis and high-dimensional evolutionary many-objective optimization of dual loop organic Rankine cycle (DORC) for CNG engine waste heat recovery
Thermodynamic analysis and high-dimensional evolutionary many-objective optimization of dual loop organic Rankine cycle (DORC) for CNG engine waste heat recovery
复制标题
CNG发动机余热回收双回路有机朗肯循环（DORC）的热力学分析和高维演化多目标优化
DOI：
10.1016/j.energy.2021.121508
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发表时间：
2021-12
期刊：
影响因子：
9
通讯作者：
Yang Fubin
中科院分区：
文献类型：
--
作者：
Ping Xu;Yao Baofeng;Zhang Hongguang;Yang Fubin
压缩天然气（CNG）发动机复杂多变的工作条件给废热能的高效回收带来了巨大挑战。双回路有机朗肯循环（DORC）系统由于其结构上的优势，可以有效地回收和利用天然气发动机的余热。确定运行参数和热力性能之间的非线性变化是获得DORC系统热力性能极限的基础。然而，传统的分析方法在这方面有明显的局限性。基于双线性插值算法，综合分析和评价了机组运行参数与净出力、热效率、火用损失之间的非线性、强耦合特性。此外，DORC系统的综合热力性能极限对其工程应用有着至关重要的影响，但尚未得到彻底和全面的优化。因此，本文提出了一种基于平衡的热力学高维进化多目标优化（EMO）方法的DORC系统。DORC系统的最佳热效率、净功率输出和总火用损失分别达到37.11 kW、14.27%和104.58 kW。基于平衡和非平衡重量下的优化结果，分析了DORC系统不同热力性能之间的主导关系。该研究可为分析和优化DORC系统的综合热力性能提供直接参考。(c)2021爱思唯尔有限公司版权所有。
The complex and changeable working conditions of compressed natural gas (CNG) engines have brought great challenges to the efficient recovery of waste heat energy. The dual loop organic Rankine cycle (DORC) system can effectively recover and utilize CNG engine waste heat due to its structural advantages. Determining the nonlinear variations between operating parameters and thermodynamic performance serves as the basis for obtaining the thermodynamic performance limits of the DORC system. However, traditional analysis methods have obvious limitations in this area. Based on the bilinear interpolation algorithm, this paper comprehensively analyzes and evaluates the nonlinear and strong coupling characteristics between operating parameters and net power output, thermal efficiency, and exergy destruction. In addition, the comprehensive thermodynamic performance limits of the DORC system have a critical effect on its engineering application yet have not been thoroughly and comprehensively optimized. Therefore, this paper proposes an equilibrium-based thermodynamic high-dimensional evolutionary many-objective optimization (EMO) method for the DORC system. The optimal thermal efficiency, net power output, and total exergy destruction of the DORC system reached 37.11 kW, 14.27%, and 104.58 kW, respectively. Based on the optimization results under equilibrium and unequilibrium weight, the dominant relationship between the different thermodynamic performances of the DORC system is then analyzed. This research can provide a direct reference for analyzing and optimizing the comprehensive thermodynamic performance of the DORC system. (c) 2021 Elsevier Ltd. All rights reserved.
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影响因子：
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