基于时间序列聚合的有机朗肯循环系统优化方法

危由兴; 罗向龙; 胡凌锋; 陈健勇; 梁颖宗; 杨智; 陈颖

doi:10.12052/gdutxb.200177

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基于时间序列聚合的有机朗肯循环系统优化方法

综合研究 | 更新时间：2026-05-27

- 基于时间序列聚合的有机朗肯循环系统优化方法
- Optimization Method of Organic Rankine Cycle System Based on Time Series Aggregation
- 广东工业大学学报 2022年39卷第6期页码：98-106
- 作者机构：
  
  广东工业大学材料与能源学院,广东,广州,510006
- 作者简介：
  
  危由兴(1995–) ，男，硕士研究生，主要研究方向为低温余热有机朗肯循环系统优化
  罗向龙(1978–) ，男，教授，博士，主要研究方向为热力系统集成与优化、换热强化与优化等，E-mail：lxl-dte@gdut.edu.cn
- 基金信息：
  
  国家自然科学基金资助面上项目(51876043)
- DOI：10.12052/gdutxb.200177
  中图分类号： TK121
- 纸质出版：2022
- 稿件说明：
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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(6): 98-106.

Wei You-xing, Luo Xiang-long, Hu Ling-feng, et al. Optimization Method of Organic Rankine Cycle System Based on Time Series Aggregation[J]. 2022, 39(6): 98-106.
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(6): 98-106. DOI： 10.12052/gdutxb.200177.

Wei You-xing, Luo Xiang-long, Hu Ling-feng, et al. Optimization Method of Organic Rankine Cycle System Based on Time Series Aggregation[J]. 2022, 39(6): 98-106. DOI： 10.12052/gdutxb.200177.

摘要

有机朗肯循环(Organic Rankine Cycle

ORC) 发电技术在回收中低温余热和中低温太阳能热发电方面具有广阔的应用前景，系统优化设计对提高系统发电效率和降低系统全年发电成本具有重要意义。本文建立了太阳能驱动ORC系统设备结构参数和系统运行参数同步优化模型；考虑到太阳能辐射量和环境温度随时间变化的特性，基于时间序列聚合法获得5个聚合点作为设计工况，分别得到了5个聚合设计工况下最优设计方案。结果表明：太阳能辐射量和环境设计温度不同，设计的系统结构参数和运行方案不同；在环境温度值低、太阳辐射值高时度电成本 (Electricity Production Cost

EPC) 最低，ORC效率最高。

Abstract

Organic Rankine cycle (ORC) power generation technology has a wide application potential in the recovery of medium-to-low temperature waste heat and medium-to-low temperature solar thermal power generation. The system optimization design is of great significance to improve system power generation efficiency and reduce the annual generation cost of the system. A synchronous optimization model of the equipment structure parameters and system operation parameters of the solar-driven ORC system is established. Considering the characteristics of solar radiation and ambient temperature changes with time

based on the time series aggregation method

five aggregation points were obtained as design conditions

and the optimal design schemes under the five aggregation design conditions are obtained. The results show that the solar radiation and the environmental design temperature are different

and the designed system structure parameters and operating schemes are different; When the solar radiation is low and the solar radiation value is high

the electricity production cost (EPC) is the lowest and the ORC efficiency is the highest.

关键词

Keywords

references

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