Applicability of Different Double-Layer Models for the Performance Assessment of the Capacitive Energy Extraction Based on Double Layer Expansion (CDLE) Technique

Zou, Zhi; Liu, Longcheng; Meng, Shuo; Bian, Xiaolei; Li, Yongmei

doi:10.3390/en14185828

Cited by 6 publications

(5 citation statements)

References 45 publications

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“…Simultaneously, in the lower level, the customer aims to solve the distribution from each distribution center to the customer, striving for the lowest total cost, typically the cost borne by the consumer for logistics and distribution services. The model encompasses the game dynamics between the location decision-maker and the customer, considering the interests of both parties and aligning with real-world scenarios (Zou et al, 2021).…”

Section: Basic Mathematical Model Of DL Planningmentioning

confidence: 99%

Enhancing Logistics Optimization

Wang,

Liu,

Hamam

2024

Journal of Organizational and End User Computing

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With the expansion of the logistics network, enterprise logistics distribution faces increasing challenges, including high transportation costs, low distribution efficiency, and unstable distribution networks. To address these issues, this study focuses on optimizing enterprise logistics distribution using a double-layer (DL) model. In this paper, we propose a DL model for optimizing enterprise logistics distribution. The DL model is designed to find the optimal solution using the particle swarm optimization (PSO) algorithm. By leveraging location data from the region, the DL model evaluates and compares alternative distribution centers to determine the most efficient distribution strategy. The results demonstrate that the DL site selection model developed in this study effectively addresses the tasks of logistics center location and distribution optimization among alternative distribution centers. Comparison tests reveal that the distribution path proposed by the DL model is more accessible and cost-effective compared to alternative approaches.

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Section: Basic Mathematical Model Of DL Planningmentioning

confidence: 99%

Enhancing Logistics Optimization

Wang,

Liu,

Hamam

2024

Journal of Organizational and End User Computing

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“…This is why these electrodes are designed to have the largest possible surface-and hence give rise to the largest possible cell capacitance. In order to further increase this surface, the current collectors of CapMix cells (typically made of graphite or titanium) are covered with activated carbon deposits, which have a high specific surface area [21][22][23].…”

Section: Characteristics Of the Capmix Cellmentioning

confidence: 99%

“…The ease with which the parameters of this model are determined makes this the most commonly used model, and it is used in this work to reduce the computing time of the simulations carried out. The analysis of the diffusion of the ions and the formation of the double layer would require the complex modeling at the electrochemical level to understand the correct internal operation of the cell [15,23]. However, for the design of the power stages in charge of managing the energy stored, simple electrical models are used that fundamentally allow for quantifying the energy and the power dissipation.…”

Section: Characteristics Of the Capmix Cellmentioning

confidence: 99%

“…This figure also shows that, due to the high output voltage fixed by the grid, the inductor discharge is again very fast as compared with the time needed for the charging process. Although the current thus injected into the grid is mainly formed by spikes, Section 3.4 has already indicated that it is possible to reduce high-frequency harmonics by connecting several bridgeless buck-boost converters in parallel to have a multistage interleaved converter that transfers the energy from the cells to the grid through the nonautonomous inverter [22][23][24].…”

Section: Energy Transfer To the Gridmentioning

confidence: 99%

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Current Source Strategy for Energy Injection from a CapMix Cell

Busto,

Prieto,

Martín-Ramos

et al. 2023

Electronics

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Circulation of salty and fresh water through the electrodes of a deionization cell produces a voltage between the electrodes caused by the Capacitive Donnan Potential (CDP). The voltage so generated is very low (100 mV), but this work demonstrates that it is possible to develop a power converter suitable to inject this energy into the grid or into energy storage systems; this is a relevant aspect of this paper, for most works in the literature simply dissipate this energy over a resistor. To increase the input voltage, a stack of electrodes is connected in series. A bridgeless rectifier that uses a dual buck–boost converter to operate with both the positive and negative cycles is used to extract the energy from the cell. The topology chosen, which is operated as a current source, can work at extremely low voltage levels and provide power factor correction. After this stage, an H-bridge inverter can be included to inject the energy into the AC grid. The whole system implements a hysteresis control system using the current through the inductor of the power converter as control variable. This paper investigates the influence of such current on the efficiency of the total system.

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“…(v) With the increase of flow rate, the ion diffusion is accelerated and the total power generation is increased. (vi) Treating two electrodes in different ways, such as using coatings or functionalized electrodes to generate different surface charges, can increase power density. − …”

Section: Technologies For Harvesting Salinity Gradient Energymentioning

confidence: 99%

Principles and Materials of Mixing Entropy Battery and Capacitor for Future Harvesting Salinity Gradient Energy

Zhou

Zhang

Han

et al. 2022

ACS Appl. Energy Mater.

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The salinity gradient energy, also known as "blue energy", widely exists at the junction of river water and seawater, which is a promising renewable energy. When two solutions with different salt concentrations are mixed, they will spontaneously release energy. The blue energy is in the form of chemical energy. The available salinity gradient energy all over the world is huge, so the study of it is of great significance. In this review, various techniques and their principles for obtaining salinity gradient energy are reviewed, and the mixing entropy battery (MEB) technique is introduced in detail. The MEB can not only extract but also store electrochemical energy through a simple four-step cycle. We focus on the principles of MEB and the calculation of energy consumption during the process of mixing, as well as the anode materials, cathode materials, and natural electrolyte used in MEB. The electrolyte of the mixing entropy battery or capacitor is not limited to river and seawater; salt-lake brine, geothermal water, and urban wastewater can also be used, but further research is needed.

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Applicability of Different Double-Layer Models for the Performance Assessment of the Capacitive Energy Extraction Based on Double Layer Expansion (CDLE) Technique

Cited by 6 publications

References 45 publications

Enhancing Logistics Optimization

Enhancing Logistics Optimization

Current Source Strategy for Energy Injection from a CapMix Cell

Principles and Materials of Mixing Entropy Battery and Capacitor for Future Harvesting Salinity Gradient Energy

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