...
首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Thermodynamic and thermoeconomic performance analyses and optimization of a novel power and cooling cogeneration system fueled by low-grade waste heat
【24h】

Thermodynamic and thermoeconomic performance analyses and optimization of a novel power and cooling cogeneration system fueled by low-grade waste heat

机译:低级余热热量的热力学和热经济性能分析和优化新型电源和冷却热电联产系统

获取原文
获取原文并翻译 | 示例
           

摘要

The ejector refrigeration cycle (ERC) is often used as the sub-cycle of power and cooling cogeneration systems due to its advantages of simple structure design, few moving parts, less system investment, good stability and reliable operation. Considering the potential of organic Rankine cycle (ORC) in the utilization of low-grade heat, and the advantages of simple structure and many choices for working fluid, a novel power and cooling cogeneration system was designed, based on dual-pressure evaporation ORC (DORC) and ERC. In this system, a common condenser was used by DORC and ERC, and a part of working fluid separated from low-pressure steam generator outlet in DORC was used as the primary flow of ejector to drive ERC. A mathematical model for calculating the thermodynamic and thermoeconomic performances of the system was established. Sensitivity analysis was performed to determine the key parameters of the system, the results showed that the low-pressure evaporation temperature (T-LPSG,(out)), high-pressure evaporation temperature (T-HP,T-E), vapor fraction of the low-pressure steam generator outlet (x(LPSG,)(out)) and working fluid mass flow ratio of high-pressure stage to low-pressure stage (k) were the four key parameters of the system. Parametric analysis showed that higher T-LPSG,(out), Out and lower x(LPSG,)(out) were beneficial to increase the cooling output and thermal efficiency, while higher T-HP,T-E and larger k were helpful to increase the net power output and exergy efficiency. The net power output and exergy efficiency can be optimized by T-LPSG,(out) and x(LPSG,) (out). Using genetic algorithm (GA), multi-objective function optimization was carried out with T-HP,T-E, T-LPSG,T-out, x(LPSG, out) and k as the decision variables. Moreover, the system's adaptability for working fluids R245fa, R236ea, R600, R600a, R601 and R601a was investigated. According to the optimization results, R236ea was the most suitable working fluid. When T-HP,T-E was 402.43 K, T-LPSG,(out) was 392.42 K, x(LPSG,)(out) was 0.357 and k was 0.321, the calculated net power output, cooling output, thermal efficiency, exergy efficiency and total cost of unit exergy product (SUCP) were 273.00 kW, 121.80 kW, 14.52%, 44.03% and 42.62$/MWh, respectively. Exergy analysis was conducted using R236ea as working fluid. The results showed that the two steam generators and condenser were the main components responsible for most of the exergy destruction of the system in both basic case and optimized case. Compared to the basic case, the exergy destruction of the steam generators decreased by about 32.3%, and the total exergy destruction of the system decreased by about 5.0% in optimized case.
机译:喷射器制冷循环(ERC)通常用作电源和冷却热电联产系统的子循环,因为其结构设计简单,移动部件少,系统投资较少,稳定性较低,操作可靠。考虑到有机朗肯循环(ORC)在利用低级热量的情况下,基于双压蒸发ORC( DORC)和ERC。在该系统中,DORC和ERC使用公共冷凝器,并从DORC中与低压蒸汽发生器出口分离的工作流体的一部分用作驱动ERC的喷射器的主要流动。建立了计算系统热力学和热经济性能的数学模型。进行敏感性分析以确定系统的关键参数,结果表明,低压蒸发温度(T-LPSG,(OUT)),高压蒸发温度(T-HP,TE),蒸气分数低压蒸汽发生器出口(X(LPSG,)(OUT))和高压级与低压级(K)的工作流体质量流量比是系统的四个关键参数。参数分析表明,较高的T-LPSG,(OUT),OUT和较低x(LPSG,)(OUT)有利于提高冷却输出和热效率,而较高的T-HP,TE和更大的K有助于增加净功率输出和高效效率。通过T-LPSG,(OUT)和X(LPSG)(OUT)可以优化净功率输出和漏洞效率。使用遗传算法(GA),使用T-HP,T-E,T-LPSG,T-OUT,X(LPSG,OUT)和K作为决策变量进行多目标函数优化。此外,研究了系统对工作流体R245FA,R236EA,R600,R600A,R601和R601A的适应性。根据优化结果,R236EA是最合适的工作液。当T-HP,TE为402.43 k时,T-LPSG(OUT)为392.42K,X(LPSG)(OUT)为0.357和K为0.321,计算净功率输出,冷却输出,热效率,高效率单位漏洞产品(SUCP)的总成本分别为273.00千瓦,121.80千瓦,分别为14.52%,44.03%和42.62美元/米。使用R236EA作为工作流体进行的Deergy分析。结果表明,两种蒸汽发生器和冷凝器是主要成分,负责基本情况和优化案例中系统的大部分漏洞破坏。与基本情况相比,蒸汽发生器的出电压破坏减少了约32.3%,系统的总漏洞破坏在优化的情况下减少了约5.0%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号