广东工业大学学报 ›› 2022, Vol. 39 ›› Issue (02): 91-98.doi: 10.12052/gdutxb.200168

• 综合研究 • 上一篇    下一篇

基于PC-SAFT的混合工质筛选与有机朗肯循环系统优化

梁俊伟, 罗向龙, 杨智, 梁颖宗, 陈健勇, 陈颖   

  1. 广东工业大学 材料与能源学院, 广东 广州 510006
  • 收稿日期:2020-12-16 出版日期:2022-03-10 发布日期:2022-04-02
  • 通信作者: 罗向龙(1978-)，男，教授，博士生导师，主要研究方向为热力系统集成与优化、换热器强化与优化，E-mail：lxl-dte@gdut.edu.cn
  • 作者简介:梁俊伟(1996-)，男，硕士研究生，主要研究方向为工质物性及有机朗肯循环优化
  • 基金资助:
    国家自然科学基金资助项目(51876043, 51736005)

Selection of Mixtures and Optimization of Organic Rankine Cycle System Based on PC-SAFT

Liang Jun-wei, Luo Xiang-long, Yang Zhi, Liang Ying-zong, Chen Jian-yong, Chen Ying   

  1. School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2020-12-16 Online:2022-03-10 Published:2022-04-02

HTML

PDF (PC)

2422

摘要： 混合工质在相变过程存在温度滑移现象，能与冷热源更好地匹配从而提高有机朗肯循环(Organic Rankine Cycle, ORC)性能，成为ORC工质研究热点。混合工质组合和数量巨大，常规方法用于混合工质筛选及与系统参数的同步优化难度较大。建立了基于Perturbed-Chain Statistical Associating Fluid Theory(PC-SAFT)状态方程计算物性的混合工质三级筛选与ORC系统同步优化模型，基于机器学习极端梯度提升预测气液平衡初值模型，采用遗传算法实现工质筛选与系统参数的同步优化。从26种常用工质组成的纯工质库组合混合工质，根据温度滑移、压力初筛合适的混合工质，有效减少搜索范围。通过混合工质筛选与ORC系统参数同步优化，以净功和?效率为目标得到的工质分别为R12/perfluoro-pentane和R40/R160。分析对比了不同热源进口温度下不同目标时工质组合与ORC运行参数优化结果。

关键词: 有机朗肯循环, 混合工质, 状态方程, 工质筛选

Abstract: Temperature slip exists in the phase transition process of the mixtures, which can better match the cold and heat sources, so as to improve the performance of organic Rankine cycle (ORC). Due to the large number and combination of mixtures, it is difficult to use conventional methods to select mixtures and optimize them synchronously with system parameters. A synchronous optimization model of three-stage screening and ORC system of mixtures based on the calculated physical properties of Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) was established. The initial value model of gas-liquid equilibrium was predicted based on eXreme Gradient Boosting of machine learning. Genetic algorithm was used to realize the synchronous optimization of working fluid screening and system parameters. From the pure working fluid pool composed of 26 kinds of common working fluids, the suitable mixtures were selected according to the temperature slip and pressure, which effectively reduced the search range. The mixtures R12/Perfluoro-pentane and R40/R160 were obtained for net work and exergy efficiency, respectively. The optimization results of working fluid combination and ORC operation parameters under different heat source inlet temperatures and different targets were compared.

Key words: organic Rankin cycle, mixtures, equation of state, selection of working fluids

中图分类号: 

  • TK212
[1] 宋建忠, 张小松, 李舒宏, 等. 太阳能有机朗肯循环系统的实验特性[J]. 化工学报, 2014(12): 4958-4964.
SONG J Z, ZHANG X S, LI S H, et al. Experimental characteristics of solar organic Rankine cycle system [J]. CIESC Journal, 2014(12): 4958-4964.
[2] 刘继芬, 王景甫, 马重芳, 等. 中低温地热发电循环参数的优化[J]. 化工学报, 2011, 62(S1): 190-196.
LIU J F, WANG J F, MA C F, et al. Optimization of cycle parameters in low-medium temperature geothermal power generation [J]. CIESC Journal, 2011, 62(S1): 190-196.
[3] 杨凯, 张红光, 宋松松, 等. 变工况下车用柴油机排气余热有机朗肯循环回收系统[J]. 化工学报, 2015, 66(3): 1097-1103.
YANG K, ZHANG H G, SONG S S, et al. Waste heat organic Rankine cycle of vehicle diesel engine under variable working conditions [J]. CIESC Journal, 2015, 66(3): 1097-1103.
[4] 王羽鹏, 罗向龙, 梁俊伟, 等. 有机朗肯循环系统工质设计与系统参数的同步优化[J]. 广东工业大学学报, 2020, 37(1): 69-80.
WANG Y P, LUO X L, LIANG J W, et al. A simultaneous optimization of working fluid design and system parameters in organic Rankine cycle [J]. Journal of Guangdong University of Technology, 2020, 37(1): 69-80.
[5] 邱观福, 罗向龙, 陈健勇, 等. 考虑环境温度变工况的分液冷凝有机朗肯循环系统优化设计[J]. 广东工业大学学报, 2019, 36(6): 99-104.
QIU G F, LUO X L, CHEN J Y, et al. An off-design optimization of liquid separation condenser-based organic Rankine cycle under different ambient temperature [J]. Journal of Guangdong University of Technology, 2019, 36(6): 99-104.
[6] 涂俊平, 黄计康, 罗向龙, 等. 水平光滑管内R245fa轴向均匀沸腾传热特性实验研究[J]. 广东工业大学学报, 2020, 37(6): 71-77.
TU J P, HUANG J K, LUO X L, et al. An experimental study of axial uniform boiling heat transfer characteristics of R245fa in horizontal smooth tube [J]. Journal of Guangdong University of Technology, 2020, 37(6): 71-77.
[7] BRAIMAKIS K, PREIßINGER M, BRÜGGEMANN D, et al. Low grade waste heat recovery with subcritical and supercritical organic rankine cycle based on natural refrigerants and their binary mixtures [J]. Energy, 2015, 88: 80-92.
[8] PENG D, ROBINSON D B. A new two-constant equation of state [J]. Industrial & Engineering Chemistry Fundamentals, 1976, 15(1): 59-64.
[9] ZHAO L, BAO J. Thermodynamic analysis of organic Rankine cycle using zeotropic mixtures [J]. Applied Energy, 2014, 130: 748-756.
[10] WU Y, ZHU Y, YU L. Thermal and economic performance analysis of zeotropic mixtures for organic Rankine cycles [J]. Applied Thermal Engineering, 2016, 96: 57-63.
[11] 郑晓生, 罗俊伟, 卢沛, 等. 采用R1234ze(E)/R245fa的非共沸混合工质有机朗肯循环系统实验研究[J]. 广东工业大学学报, 2020, 37(3): 114-120.
ZHENG X S, LUO J W, LU P, et al. An experimental study of zeotropic-mixture organic Rankine cycle system utilizing R1234ze (E)/R245fa [J]. Journal of Guangdong University of Technology, 2020, 37(3): 114-120.
[12] GROSS J, SADOWSKI G. Perturbed-chain SAFT: an equation of state based on a perturbation theory for chain molecules [J]. Industrial & Engineering Chemistry Research, 2001, 40(4): 1244-1260.
[13] JOBACK K G, REID R C. ESTIMATION of pure-component properties from group-contributions [J]. Chemical Engineering Communications, 1987, 57(1-6): 233-243.
[14] STAVROU M, BARDOW A, GROSS J. Estimation of the binary interaction parameter k of the PC-SAFT Equation of State based on pure component parameters using a QSPR method [J]. Fluid Phase Equilibria, 2016, 416: 138-149.
[15] CHEN T, GUESTRIN C. XGBoost: A scalable tree boosting system[C]//Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [s. l.]: ACM, 2016.
[16] LI Y, DU M, WU C, et al. Potential of organic Rankine cycle using zeotropic mixtures as working fluids for waste heat recovery [J]. Energy, 2014, 77: 509-519.
[17] 王克峰, 姚平经, 袁一, 等. 遗传算法在过程综合混合整数非线性规划中的应用[J]. 高校化学工程学报, 1997(4): 65-71.
WANG K F, YAO P J, YUAN Y, et al. Application of genetic algorithm in mixed integer nonlinear programming (MINLP) of process system synthesis [J]. Journal of Chemical Engineering of Chinese Universities, 1997(4): 65-71.
[18] Geatpy: the genetic and evolutionary algorithm toolbox with high performance in python[EB/OL]. [2020/12/11]. http://www.geatpy.com/.
[19] 吴亮红, 王耀南. 动态差分进化算法及其应用[M]. 北京: 科学出版社, 2014.
[1] 危由兴, 罗向龙, 胡凌锋, 陈健勇, 梁颖宗, 杨智, 陈颖. 基于时间序列聚合的有机朗肯循环系统优化方法[J]. 广东工业大学学报, 2022, 39(06): 98-106.
[2] 罗俊伟, 罗向龙, 郑晓生, 陈健勇, 梁颖宗, 杨智, 陈颖. 有机朗肯循环系统换热设备仿真研究[J]. 广东工业大学学报, 2022, 39(04): 128-134.
[3] 涂俊平, 黄计康, 罗向龙, 陈健勇, 杨智, 梁颖宗, 陈颖. 水平光滑管内R245fa轴向均匀沸腾传热特性实验研究[J]. 广东工业大学学报, 2020, 37(06): 71-77.
[4] 郑晓生, 罗俊伟, 卢沛, 罗向龙, 陈健勇, 杨智, 梁颖宗, 陈颖. 采用R1234ze(E)/R245fa的非共沸混合工质有机朗肯循环系统实验研究[J]. 广东工业大学学报, 2020, 37(03): 114-120.
[5] 王羽鹏, 罗向龙, 梁俊伟, 陈健勇, 杨智, 陈颖. 有机朗肯循环系统工质设计与系统参数的同步优化[J]. 广东工业大学学报, 2020, 37(01): 69-80.
[6] 邱观福, 罗向龙, 陈健勇, 杨智, 陈颖. 考虑环境温度变工况的分液冷凝有机朗肯循环系统优化设计[J]. 广东工业大学学报, 2019, 36(06): 99-104,110.
[7] 李廷勋； 刘志刚； . 基于 PR 方程的气液相平衡计算[J]. 广东工业大学学报, 1999, 16(1): 31-36.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2017 《广东工业大学学报》编辑部
地址：广州市东风东路729号广东工业大学 邮编：510090
电话：020-37626653,020-37626139,020-37626396
邮箱：xbzrb@gdut.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发