Energy Storage最新文献

Amino acid–based block copolymers (BCPs) have distinct features such as secondary structure formation, chirality, amphoteric nature, non-toxicity, and biodegradability, setting them apart from other BCPs. This suggests that amino acid–based BCPs may exhibit unique self-assembly behaviors. Despite these advantages, they have not yet been utilized as templates for mesoporous carbons (MCs) synthesis. Here, we investigate, for the first time, the effect of hydrophobicity of two different poly(ethylene glycol) (PEG) conjugated amino acid–based BCP templates (PEG-poly(β-benzyl-l-aspartate) (PEG-PBLA) and PEG-poly(γ-benzyl-l-glutamate) (PEG-PBLG)) on the construction of MC materials and also their physicochemical and electrochemical characteristics. MCs produced using PEG-PBLA and PEG-PBLG as templates are labeled CPBLA and CPBLG, respectively. Utilizing amino acid–based BCP systems enabled achieving MC materials with nearly 1 at% nitrogen doping without external nitrogen dopants. Physicochemical analysis showed CPBLA had a smaller particle size, higher specific surface area, pore size, and hydrophilicity due to increased oxygen and nitrogen contents, as well as a higher defective structure than CPBLG. The higher hydrophilicity of PEG-PBLA led to the formation of CPBLA MC particles with smaller size and higher specific surface area of 602 m²g⁻¹ and pore size of 7.8 nm. Cyclic voltammetry demonstrated that CPBLA had superior charge-storing capacity (specific capacitance of 147 F g⁻¹ at 1 mv s⁻¹) than CPBLG, attributed to its better physicochemical properties. These promising findings suggest that amino acid–based BCP systems can serve not only as templates but also as carbon and nitrogen sources, offering potential for high-performance electrochemical energy storage devices.

Water splitting, a critical milestone in the development of renewable energy, allows the production of pure hydrogen and oxygen. Iron oxide (Fe₂O₃), a fundamental component in electrochemical water splitting for both the hydrogen evolution reaction (HER) and the oxygen evolution reaction (OER), offers potential because of its accessibility, low cost, and environmental safety. Herein, to analyze the impact of the methodology on its properties, Fe₂O₃ was produced in three different ways: freeze-drying (aerogel) (Fe₂O₃-AG), hydrothermal (Fe₂O₃-HT), and microwave (Fe₂O₃-MW). The Fe₂O₃-AG outperformed Fe₂O₃-HT and Fe₂O₃-MW in most properties which showed improved current and overall water-splitting efficiency. The resulting materials demonstrated good electrocatalytic performance for both HER and OER in alkaline media, with overpotentials for HER of 204, 235, and 255 mV and overpotentials for OER of 222, 288, and 292 mV for the Fe₂O₃-AG, Fe₂O₃-HT, and Fe₂O₃-MW samples, respectively, at a current density of 10 mA/cm². The freeze-drying synthesis process has significant potential as a feasible method for the manufacture of Fe₂O₃-based electrocatalysts for water-splitting applications. This study provides important insights into the influence of electrocatalytic and energy storage properties of Fe₂O₃ based on the use of different methodologies, that is, hydrothermal, microwave-assisted, and freeze-drying. Through that, a more assertive analysis can be made concerning changes in morphology, conductivity, exposure of active area, and electrochemical stability which are crucial for the overall performance, hence providing valuable information and considerations for possible large-scale applications for energy generation and energy storage.

Tackling climate change is crucial, and electrifying the vehicular transportation sector is essential to reduce greenhouse gas emissions. Lithium-ion (Li-ion) batteries are highly efficient for electric vehicles (EVs) but face challenges such as thermal management, risk of thermal runaway, and high costs of lithium and cobalt. Overcoming these challenges is vital for the widespread adoption of hybrid and EVs. To overcome this drawback, this article proposed a large-kernel attention graph convolutional network (LKAGCN) with leaf in wind optimization algorithm (LWOA) named as LKAGCN-LWOA technique, which enhances the thermal management of prismatic Li-ion batteries by integrating both active and passive cooling techniques. The system incorporates phase change materials (PCMs) with porous-filled mini-channels to regulate battery temperature effectively. The LKAGCN analyze thermal properties, battery conditions, and PCM characteristics to predict and optimize the thermal behavior of the battery pack using LWOA. The proposed methods tune the parameters of the hybrid thermal management system, ensuring efficient thermal regulation and improved performance. The proposed method is compared to various existing methods such as convolutional neural network (CNN), Taguchi method, and Finite element model (FEM).

Biomass and biowaste resources can be used to create self-doped carbon with a distinctive microstructure. Using an economical and environmentally friendly method to create heteroatom-doped carbon electrode materials with excellent electrochemical performance has attracted much attention in the energy storage industry. A novel facile two-step, low-cost, and eco-friendly synthesis method for Colocasia esculenta peels has been developed to manufacture activated carbon (CEPAC) and used as an electrode material for supercapacitor application. The CEPAC 1:1 displayed a high specific surface area of 910 m²/g with oxygen-heteroatom polar sites in the carbon network. A specific capacitance of 525.3 F/g was recorded in the three-electrode system using a 3 M KOH solution. The assembled symmetric cell delivered an impressive specific capacitance of 98.7 F/g at 1 A/g while maintaining 98.4% of the initially recorded capacitance after 10 000 charge–discharge cycles. These results present a promising low-cost and simple processing route for synthesizing electrode materials with superior surface properties for high-performance supercapacitors.

Two nanoprecursors with capping agents were incorporated in stearyl alcohol–adipic acid combination phase change material (PCM) in this study. The addition of nanomaterials made the eutectic reliable in the manner of its thermal properties like higher enthalpy, degradation point, and more compatible with the metal encapsulation materials when compared with the pristane eutectic. The importance of nano-metal oxides in parent material was shown by the reduced time frame of the PCM's thermal energy storing and releasing process for space heating applications. The specific heat capacity of both the aluminum and titanium oxide nanocomposites were greater than the eutectic, which indicates that the material can retain more energy. The thermal conductivities of base material and nanocomposite PCMs were 0.2686, 0.2815, and 0.4395 W/mK at 40°C, and the highest percentage increment of nanocomposites was seen as 9.19% and 63.62% at varied encircled temperatures. The crystal structure and chemical disintegration were evinced with the X-ray diffractometer results of the composites.

To enhance the electrochemical performance of the Zn solid-state battery, we introduce simonkolleite as a novel anode material. With oxygen vacancies on its surface, simonkolleite exhibits both electrical and chemical activity; these vacancies serve as n-type donors, significantly improving the material's conductivity. In this research, simonkolleite is synthesized using a straightforward and cost-effective method and employed as the anode. The all-solid-state Zn battery combines the simonkolleite anode, sodium silicate (SS) electrolyte, and graphite film (GF) cathode. Our battery configuration (simonkolleite/Ingot SS/GF) achieves a high 1280 mAh g⁻¹ capacity and demonstrates improved cyclic stability. The large-scale module battery can also power a motor-fan unit for 1 h and 19 min.

In India, energy security and electrification of rural area remains significant challenges. In addressing energy changes, solar photovoltaic (SPV) systems will play a major role, particularly in remote and rural areas. This research presents the design and performance assessment of a hybrid SPV plant integrated with battery energy storage system (BESS) at a government school within an Indian village. This hybrid SPV system is designed to utilize grid electricity when available, switch to solar power during the day when it is available, and use stored battery power at night time. The designed SPV system is of 1785 Wp, capacity coupled with a 560 Ah battery pack. The performance metrics, energy production, and storage efficiency, are analyzed using simulation data from PVsyst software. The results shows that system produces an annual energy of 2149.28 kWh/year and shows a performance ratio (PR) of 72.75% and a solar fraction (SF) of 98.31%. This proposed hybrid SPV system ensures continuous power supply, reduces dependency on the grid, and significantly lowers CO₂ emissions.

The ongoing transition in the energy sector demands more efficient and reliable energy storage solutions. Our study addresses this need by optimizing the industrial process of liquefied natural gas (LNG) storage, focusing on enhancing thermal performance and energy efficiency. Leveraging a standard LNG storage design, we meticulously evaluated critical supporting variables, modeled key components, and conducted integrated cycle simulations. The primary goal was to minimize the volume of stored gas (achieving a reduction to approximately 1/600th of its gaseous state) while maintaining optimal storage conditions. Our methodology prioritizes insulation over pressure-bearing factors in large-scale tanks, aligning with the unique thermal challenges of LNG storage. Simulations were based on methane, which constitutes over 86% of the natural gas in the Middle East, ensuring relevance to the region's resources. The results are promising, with a compression stage reaching a maximum pressure of 2.377, an energy efficiency ratio of 60.71%, and a performance coefficient of 3.188. These findings offer a significant step forward in developing more effective and efficient LNG storage systems, contributing to the broader goal of sustainable energy management.