Using Thermodynamics Principles to Optimize Performance of Capacitive Mixing Cycles for Salinity Gradient Energy Generation

Daniel Moreno, M. Hatzell
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Abstract

Understanding the thermodynamics associated with ion mixing and separation processes is important in order to meet the rising demands for clean energy and water production. Several electrochemical-based technologies such as capacitive deionization and capacitive mixing (CapMix) are capable of achieving desalination and energy production through ion mixing and separation processes, yet experimental investigations suggest energy conversion occurs with low second law (thermodynamic) efficiency. Here, we explore the maximum attainable efficiency for different CapMix cycles to investigate the impact cycle operation has on energy extraction. All investigated cycles are analogous to well documented heat engine cycles. In order to analyze CapMix cycles, we develop a physics-based model of the electric double layer based on the Gouy-Chapman-Stern theory. Evaluating CapMix cycles for energy generation revealed that cycles where ion mixing occurs at constant concentration and switching occurs at constant charge (a cycle analogous to the Stirling engine) attained the highest overall first law (electrical energy) efficiency (39%). This first law efficiency is nearly 300% greater than the first law efficiency of the Otto, Diesel, Brayton, and Atkinson analog cycles where ion mixing occurs while maintaining a constant number of ions. Additionally, the maximum first law efficiency was 89% with a maximum work output of 0.5 kWh per m3 of solution mixed (V = 1.0V) using this same Stirling cycle. Here the salinity gradient was CH = 600 mM and CL = 1 mM (ΔGmix = 0.56 kWh/m3). The effect of voltage was also examined at CH = 600 mM (seawater) and CL = 20 mM (river water). CapMix cycles operated at lower voltage (V < 1.0V), resulted in the Otto cycle yielding the highest first law efficiency of approximately 25% (compared to under 20% for the Stirling cycle); however, this was at the expense of a reduction (50x) in net electrical energy extracted from the same mixing process (0.01 kWh per m3).
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利用热力学原理优化盐梯度发电电容混合循环性能
为了满足对清洁能源和水生产日益增长的需求,了解与离子混合和分离过程相关的热力学是很重要的。几种基于电化学的技术,如电容去离子和电容混合(CapMix),能够通过离子混合和分离过程实现海水淡化和能源生产,但实验研究表明,能量转换的第二定律(热力学)效率较低。在这里,我们探索不同CapMix循环可达到的最大效率,以研究循环操作对能源提取的影响。所有研究的循环都类似于有充分记录的热机循环。为了分析CapMix周期,我们基于Gouy-Chapman-Stern理论建立了一个基于物理的双电层模型。对CapMix循环发电的评估表明,离子混合在恒定浓度下发生,开关在恒定电荷下发生的循环(类似于斯特林发动机的循环)获得了最高的第一定律(电能)效率(39%)。这种第一定律效率比奥托、迪塞尔、布雷顿和阿特金森模拟循环的第一定律效率高出近300%,其中离子混合发生在保持离子数量不变的情况下。此外,使用相同的斯特林循环,最大第一定律效率为89%,每立方米混合溶液(V = 1.0V)的最大输出功率为0.5 kWh。这里的盐度梯度为CH = 600 mM, CL = 1 mM (ΔGmix = 0.56 kWh/m3)。在CH = 600 mM(海水)和CL = 20 mM(河水)条件下,还考察了电压的影响。CapMix循环在较低电压(V < 1.0V)下工作,导致Otto循环产生最高的第一定律效率,约为25%(相比之下,斯特林循环的第一定律效率低于20%);然而,这是以从相同的混合过程中提取的净电能(每立方米0.01千瓦时)减少(50倍)为代价的。
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