Energy Storage最新文献

Solid-state hydrogen storage using metal hydrides offers the potential for high energy storage capacities. However, the requirement for high-temperature operations (above 400°C) and challenges with heat exchange are significant drawbacks. From this perspective, adsorption on porous materials presents a viable solution to these challenges. Carbon nanostructures, such as graphene and graphene oxide (GO) derivatives, are well-suited for hydrogen storage because of their lightweight nature, low density, and large surface area. However, the primary obstacle for practical applications is the poor storage capacity of carbon nanostructures under ambient conditions. Utilizing a cost-effective transition element such as nickel as a catalyst offers significant potential for storing hydrogen in atomic and molecular forms by invoking the spillover mechanism. Thermally reduced graphene oxide (TrGO) modifies the surface, providing abundant active sites that attract hydrogen effectively. Porous silicon (PS) enhances the surface properties of graphene sheets, attracting hydrogen to the surface. The current study assesses a synthesized TrGO, PS, and Ni composition to leverage their individual properties for hydrogen storage. Field-emission scanning electron microscopy examines the sheet structure of TrGO (used as the host material) and the incorporation of PS and Ni on its surface. The calculated specific surface area of TrGO is ~450 m² g⁻¹. X-ray diffraction is used to identify the various phases in the composition, while Raman spectroscopy measures the degree of disorder within the composition. The pressure-composition isotherms reveal hydrogen storage capacities of ~6.53 wt% for the TrGO + PS composition and ~2.43 wt% for the TrGO + PS + Ni composition. Despite the decrease in weight percentage of TrGO + PS + Ni due to the higher Ni content, dissociation enhances the adsorption rate from 0.35 to 0.53 wt% h⁻¹.

Electric vehicles (EVs) are a fundamental paradigm shift in the automotive industry, driven by the desire to achieve sustainable mobility, ameliorate climate change, and cut greenhouse gas emissions. Electric vehicle (EV) technology has advanced significantly in recent years, with improvements in battery efficiency, range, and charging infrastructure among them. Lithium-ion battery technology has evolved tremendously, boosting energy density and cutting costs as the primary energy storage option for electric vehicles. The advancement of fast-charging stations and smart grid integration, which have significantly resolved concerns with convenience and charging time, has also fostered a wider acceptance of EVs. Nonetheless, the operating temperature range of the lithium-ion cells currently in use is 15°C-35°C. The vehicle's range and battery performance can be impacted by temperatures above or below. For efficient cooling and to keep the cells within the operational temperature range, a suitable Battery Thermal Management System (BTMS) must be implemented. The utilization of fly ash nanoparticles dispersed in water-ethylene glycol base fluid as coolant in indirect liquid cooling systems is the main topic of the current work. For 14 LFP cylindrical cells with a 2S7P configuration and a serpentine cooling channel between the cells, an ANSYS FLUENT model has been created. The goal of the current study is to comprehend the rise in temperature at the outlet for various flow velocities by using fly ash nanofluid with 5% particle concentration as cooling. When the fluid flow rate was 0.1 m/s, the cooling performance was better, resulting in an outlet temperature rise of 311.976 K and a 4% temperature rise above the 300 K inlet fluid flow temperature. Indicating efficient cooling at lower fluid flow velocities, the percentage difference between the rise in temperature of the fluid's outflow at 0.1 and 3 m/s is 3.07%. Compared to the current coolant, ethylene glycol, the average increase in temperature difference (∆T)% is between 0.9% and 1.2% using fly ash nanofluid. Thus, the use of Fly ash as a nanofluid in battery cooling applications will certainly help to reduce the temperature of the battery pack and can provide a sustainable solution leading to lesser degradation of the environment.

Developing high-performance materials for electrochemical energy storage devices such as batteries, and supercapacitors is a significant topic in material chemistry-based research. The high consumption and limited availability of numerous materials used in energy devices lead to the development of alternative, effective, and cost-effective materials exhibiting superior electrochemical chemical performance. A porous activated carbon, derived from polyaniline (PANI) synthesized through chemical oxidative polymerization, can be considered a viable solution in this context. In this study, the electrochemical window of the nitrogen-doped porous activated carbon was enhanced through a combined synthesis process involving the carbonization and activation of PANI nanotubes with KOH. Moreover, alternations in surface area and porosity were evaluated using BET analysis for the samples having PANI to KOH ratios 1:0.5, 1:1, and 1:2. The results revealed a significant improvement in surface area and pore volume, increasing from 18 to 3535 m²/g from pure PANI to chemically treated samples. Among those materials, the PANI to KOH ratio of 1:1 exhibited the highest surface area of 3535 m²/g and the highest pore volume of 0.7131 cm³/g. Subsequently, the electrochemical performance of all materials was evaluated using a three-electrode cell system and a symmetrical coin-cell device. Electrodes fabricated with PANI to KOH ratio of 1:1 by weight showed better electrochemical performance in an aqueous electrolyte (6 M KOH) in both systems. This material exhibited the highest capacitance of 378 F/g (at 0.5 A/g) in the three-electrode system and 143 F/g (at 0.5 A/g) in the SCCD. The SCCD achieved a maximum energy density of 23 Wh/kg with a power density of 544 W/kg. Additionally, these supercapacitors provided a good Coulombic efficiency of about 99% with capacitance retention of 97% at 7 A/g current density after 10 000 charge–discharge cycles. Further, this study expanded by investigating variations of electrochemical performance across various electrolytes, including aqueous, organic, and ionic liquids in coin-cell supercapacitors. The findings reveal promising results, suggesting potential commercial applications for this facile approach to synthesize nitrogen-doped activated carbon, especially for supercapacitors with aqueous electrolytes.

Advances in non-conventional energy technologies and increasing fossil fuel prices along with environmental concerns have made hybrid renewable energy systems important. In view of this scenario, solar panel mounted on a vertical axis wind turbine (called as solar-wind tower) can be utilized to produce more electric energy than individual one. This solar-wind tower will be located in the space available between two opposite roads of expressways/highways. Solar-wind tower located in such a manner that the air velocity produced from driving vehicles on both sides of the road is adequate to cut the turbine blades which will produce unidirectional torque. A battery energy storage system (BESS) stores the power produced by the solar-wind tower so that it can subsequently be used for local loads and electric vehicle charging stations (EVCS) and remaining energy can be supplied to the grid. In this work, a hybrid system composed of wind and solar is designed and modelled in Simulink (MATLAB) and tested on real data of wind speed and validated by Opal-RT simulator. From the simulation result, it is estimated that total electrical power output of a single solar-wind tower is around 15 to 20 kWh in a day under the assumed conditions.

The present investigation aims to synthesize a novel (AlCuCoFeMnNi)₃O₄ type high entropy spinel oxide through the sol-gel and investigate the effect of different carbon-based additives on charge storage performance. The formation of the inverse spinel phase of [B(AB)O₄] type inverse spinel phase was confirmed through the detailed x-ray diffraction analysis of the synthesized sample. The synthesized spinel phase was indexed with the space group of Fd−3m and has a lattice parameter of 8.2697 Å. The synthesized high entropy oxide (HEO) phase Ni, Co, and Fe coexists in +2 and +3 states. At the same time, Cu in +2 state, Al in +3 state, and Mn in +3 and +4 states confirmed through x-ray photoelectron spectroscopy. The electrochemical charge storage performance of synthesized HEO was measured through the three-electrode setup in 2 M KOH aqueous electrolyte solution in two different potential windows, such as −0.2 to 0.4 V and 0.0 to 0.5 V. Different carbon-based conducting materials such as acetylene black, reduced graphene oxide (RGO), and carbon particles obtained from 10-hour ball-milling of used dry cell carbon electrode (CP). The charge storage mechanism changes from electrochemical double layer capacitance to pseudocapacitive type as the potential window varies from −0.2 to 0.4 to 0 to 0.5 V. The value of specific capacitance for an electrode made of HEO with acetylene black, RGO, and CP was found to be 32.67, 7.50, and 4.58 F/g and 30.68, 16.33, and 9.05 F/g in the potential window of −0.2 to 0.4 V and 0 to 0.5 V at a scan rate of 5 mV/s, respectively. The cyclic performance of the developed three electrodes was measured at a scan rate of 100 mV/s for 1000 cycles, and it was found to be 94%, 98%, and 99% for electrodes made of HEO with acetylene black, RGO, and CP, respectively.

The present study employs rigorous DFT analysis using WIEN2k for the best suitability of the Cr₂O₃ as an electron transport layer, synergetic with nontoxic and thermally stable CsSnCl₃ perovskite solar energy storage device, configured as FTO/Cr₂O₃/CsSnCl₃/CBTS/Au. The main objective of our investigation is to improve the device performance by optimizing thickness, carrier concentration, bulk defect density of each layer, interface defects, operating temperature, as well as the impact of parasitic elements on device performance. SCAPS-1D tool was used to optimize the novel device architecture. The simulation results reveal that a CsSnCl₃ layer with an optimized thickness of 800 nm and a doping concentration of 1 × 10¹⁵ cm⁻³ yields noteworthy outcomes, specifically, champion efficiency (𝜂) of 22.01% along with an open-circuit voltage (V_oc) of 1.12 V, a short-circuit current (J_sc) of 23.86 mA/cm², and a fill factor of 81.65%. These improved findings were compared with existing theoretical and experimental reported data and found to exhibit the best performance. The present research substantially enhances the understanding of eco-friendly CsSnCl₃ perovskite solar cell optimization, thereby extending its applicability to future photovoltaic and optoelectronic devices.

In terms of electric vehicle architectures, the drivetrain offers unprecedented freedom, but it also creates new obstacles in terms of achieving all needs. The architecture of electric vehicles is simplified and adjustable at the component level because they don't have a combustion engine or fuel tank, only an electric motor and a battery. Implementing safe zones within electric vehicles (EVs) to accommodate battery packs necessitates significant adjustments to ensure the secure integration of the battery. A Battery EV, also known as a pure EV, solely relies on rechargeable battery packs as its source of energy, without any additional propulsion system. The Battery Management System (BMS) plays a significant role in maintaining the safety of electric vehicles by controlling the electronics of rechargeable batteries, whether they are individual cells or battery packs. The BMS plays crucial role in protecting both the user and the battery by monitoring and maintaining the cell's operation within safe limits. This research paper focuses on the control of solar-powered charging for lithium-ion batteries. An optimized FOPID controller is utilized to maximize power extraction from PV array and efficiently charge the battery. A hybrid optimization model is employed to optimize the gain parameters of the FOPID controller.

In order to achieve the “carbon peaking and carbon neutrality” goals, we must vigorously develop renewable energy power generation. As the penetration of renewables progressively escalates, the corresponding demand for battery energy storage systems (BESS) within the power grid rises concomitantly. This paper presents an innovative optimization approach for configuring BESS, taking into account the incremental variations in renewable energy penetration levels and BESS charge-discharge cycles. Employing incremental analytical techniques and pivotal metrics such as capacity elasticity, the proposed method determines the optimal penetration rate and corresponding BESS capacity outcomes for deploying energy storage systems. An example analysis of a rural power distribution benchmark is carried out by using the method in this paper, which proves the effectiveness of the method in this paper. This methodology was substantiated through its application to a case study of a rural power distribution benchmark, thereby validating its efficacy. Furthermore, it was compared with the particle swarm optimization, providing a comparative assessment of their relative performance.

This article evaluates the growing prominence of electric vehicles (EVs) driven by factors like cost reduction and increased environmental awareness. It scrutinizes EV progress, focusing on battery technology advancements, charging methods, and emerging research prospects. It also delves into the global EV market status and its future potential. With batteries being a pivotal EV component, this article offers an extensive overview of various battery technologies, spanning from traditional Lead-acid to modern lithium-ion batteries. Furthermore, it explores diverse EV charging standards, emphasizing battery energy management, and underscores unexplored research opportunities for both industry and academia.