Thermal-economic and sensitivity analysis of different Rankine-based Carnot battery configurations for energy storage

有机朗肯循环 卡诺循环 兰金度 朗肯循环 火用 工艺工程 热力循环 热力学 热泵 环境科学 余热 工程类 废物管理 机械工程 热交换器 功率(物理) 物理
作者
Xiaohui Yu,Hongna Qiao,Bin Yang,Haitao Zhang
出处
期刊:Energy Conversion and Management [Elsevier BV]
卷期号:283: 116959-116959 被引量:57
标识
DOI:10.1016/j.enconman.2023.116959
摘要

The rapid growth of renewable energy, accompanied by intermittent and instability, has brought great challenges to energy storage technology. Rankine-based Carnot batteries are considered a promising solution to electricity storage in view of their high energy density at a low temperature. Determining the suitable Rankine-based Carnot battery configuration for its development and application requires accurate prediction and comprehensive comparison of the system performance under different conditions. In this paper, three Rankine-based Carnot Battery systems were constructed using a heat pump-organic Rankine cycle. Mathematical models of the aforementioned systems were built to assess and compare their performance from a thermodynamic standpoint. The results showed that the basic heat pump-organic Rankine cycle and reversible heat pump-organic Rankine cycle are better in energy and exergy aspects, where power-to-power-efficiency and exergy efficiency are higher by about 21.4% and 18.7% than that of reversible heat pump-organic Rankine cycle using a dual-function machine, respectively. Compared with basic heat pump-organic Rankine cycle and reversible heat pump-organic Rankine cycle, the levelized cost of storage of reversible heat pump-organic Rankine cycle using a dual-function machine is lower by about 12.3% and 5.4%, respectively. Taking the three criteria together, it seems that the reversible heat pump-organic Rankine cycle is better thermo-economically. The sensitivity analysis revealed that the heat source temperature has a greater impact on the reversible heat pump-organic Rankine cycle using a dual-function machine, and its absolute value of the sensitivity coefficient is 3.
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