Energy Storage最新文献

Forecasting future wind electricity generation requires diverse methods and tools to estimate potential output at specific locations. This study utilizes historical meteorological data and simple models at particular sites, along with past electricity production records from selected wind farms. The interannual and decadal oscillations of wind energy production at the grid level are computed. The large-scale, long-term energy storage needed to achieve dispatchable electricity, addressing generation variability is assessed. For the continental United States, the estimated storage requirement is approximately 1300 GWh per GW of installed capacity. The inclusion of solar power generation and the round-trip efficiency of energy storage positively or negatively impact this estimation.

In this study, an experimental model of a photovoltaic (PV) solar chimney (SC) was built and study the extent to which the asphalt material, being a phase-change material, affects its performance electrical and thermal. Results were taken for the two systems: The photovoltaic solar chimney which contains phase change material (SCPV-PCM), and the photovoltaic solar chimney which does not contain phase change material (SCPV). The finding demonstrated that the PCM affects the SCPV electrical and thermal performance; the results were as follows: The electrical power for the SCPV-PCM system increased during the day and its highest value at noon was 384.34 W, and then it began to decrease. The SCPV system had a higher power at the end of the test, 73.24 W, due to the lower temperature of the PV panel. The highest electrical efficiency was for the SCPV-PCM system at the beginning of the test, reaching the highest value of 13.12%, then it decreased at the end of the test to be less than the SCPV system at 5:00 pm. The thermal efficiency of the SCPV-PCM arrangement is lesser than the arrangement that does not contain PCM, reaching its highest value at noon, which was 57.1% for the SCPV system. The total efficiency of the SCPV-PCM system is lesser than the SCPV system from the beginning of the test until 3:30 pm approximately, reaching its highest value of 68.05% at noon.

The review on printable supercapacitors (SCs) and their printing technologies delves into the realm of energy storage devices, focusing on the advancements in SC technology and the role of printing techniques in their fabrication. The abstract highlights the key advantages of SCs over traditional batteries and the latest developments in materials and fabrication methods. Highlighting materials like graphene oxide and carbon nanotubes showcases their role in printable inks for SCs. Additive manufacturing techniques like inkjet printing enable precise electrode deposition, leading to high-performance SCs with enhanced energy storage capabilities. The integration of printable SCs in portable electronics, wearable devices, and soft robotics demonstrates their versatility and impact across industries. Future research directions aim to optimize material formulations, enhance printing processes, and explore novel applications in emerging fields like IoT devices and smart textiles. Through a comprehensive analysis of research articles and studies, this review provides valuable insights into the potential of printable SCs to revolutionize the energy storage landscape.

Given the growing demand for new materials for supercapacitor applications, high entropy alloys (HEAs) are being extensively investigated. They are an efficient alternative to existing energy sources due to their synergistic contribution from individual element. We demonstrate the development of nanostructured HEA (FeCoNiCuMn) as a cathode material with specific capacitance (C_s) of ~388 F g⁻¹ (5 mV s⁻¹). As anode material, green graphene (rice straw biochar) synthesized using pyrolysis shows a maximum C_s of ~560 F g⁻¹ at similar scan rate (5 mV s⁻¹). A hybrid asymmetric liquid state device was assembled using the FeCoNiCuMn nanostructured HEA and green graphene as electrodes. Utilizing the green source, the device provided a high C_s of 83.22 F g⁻¹ at 2 A g⁻¹. The specific energy of the device was 33.4 Wh kg⁻¹ and specific power of 1.7 kW kg⁻¹. The electrochemical behavior of each element in the high entropy composition was studied through post X-ray photoelectron spectroscopy and scanning electron microscopic analysis. The chemical behavior of FeCoNiCuMn is further investigated using DFT studies. The enhanced electrochemical properties and synergistic contribution of each element of the HEA is studied via d-band theory. The current study can be utilized to develop asymmetric hybrid supercapacitors as environmental friendly energy source.

A battery energy storage system (BESS), due to its very fast dynamic response, plays an essential role in improving the transient frequency stability of a grid. The performance of the BESS varies with the system's installation site. Hence, the optimal location of the BESS is of utmost importance for improving transient frequency stability. Therefore, this paper presents a hierarchical approach for optimizing the BESS placement to improve a grid's transient frequency stability. In most research, frequency nadir and rate of change of frequency (ROCOF) have been considered for studying frequency stability. This paper considers two more parameters, along with frequency nadir and ROCOF, to study the transient frequency stability, settling time, and decay ratio. A novel frequency stability index (FSI) using the four transient frequency parameters has been developed. After a significant disturbance in a benchmarked test system, the FSI was used to identify the optimal location of the BESS for stabilizing the frequency. It has been observed that, after a sudden generator outage, the ROCOF and the frequency nadir improve the best when the BESS is located at the bus closest to the generator experiencing the outage. However, considering the other two parameters as well, the value of the FSI is the minimum; that is, the optimum solution is when the BESS is located at the bus that is the second closest to the generator experiencing the outage. Results of similar studies validate the proposed FSI in indicating the optimal location of the BESS in improving the transient frequency behavior of the system.

Enhancing the nanosized-electrolyte's characteristics in Lithium-driven micro-batteries (LIMBs) is indispensable to improve the overall efficiency, security, and lifespan of these energy devices, designing nano-sized electrolyte with a wide electrochemical stability window while keeping them compatible with electrode materials is one of the improvement goals. Battery technologies must go through this optimization process in order to be used practically. A sensing mechanism to keep an eye on the health of Li-ion energy devices through the magnetization. Magnetic micro-fluidic patterns that change could be a sign of battery deterioration or other problems with performance. Li-ion battery health is one application of magnetic sensing that you can do with magnetic sensing. Battery health variations and other performance problems can be found using magnetic mass transport patterns. Present study examines the effects of magnetic field on Eyring–Powel mass transport in nano-porous channels over a stretching sheet. The principal equations exhibiting the phenomenon are transformed into non-linear differential equation by second-order approximation by using a similarity transformation. Furthermore, a semi-analytic technique named optimal homotopy asymptotic method (OHAM) is used to solve the transformed Eyring–Powell model. The numerical results demonstrated the impact of variations in velocity, skin-friction coefficient and Sherwood number for the proposed scheme.

Batteries' aging evolution and degradation functions may vary depending on the application area and various stress factors. Studies on its aging characteristics are ongoing, considering the unpredictable tendency of battery degradation during first and secondary usage periods. Battery degradation directly affects operating costs and prevents many stakeholders from making reliable short- or long-term investment plans. Thus, this review study first introduces the battery models commonly used by researchers and provides an overview of the aging mechanism and estimation methods for health status and remaining capacity. Analytical and deterministic aging/degradation functions/models proposed by the researchers are discussed in detail, and cost equations based on degradation are reviewed. This approach was followed for the fresh and second-life batteries by further investigating the impact of stress factors on the aging process and cost. The details of aging prediction approaches based on traditional methods, machine learning, and artificial intelligence are out of the scope of this review article. Discussing the shortcomings of aging analyses/functions and introducing different perspectives on the degradation characteristics will help researchers and provide a roadmap for many stakeholders.

The aim of this article is to study the degradation of a composite material under static pressure. The high pressure condition is similar to the one encountered inside hydrogen tanks. Damage modeling was used to evaluate the behavior of hydrogen tanks to high pressure. A practical approach, coupling a finite element method (FEM) simulation and machine learning (ML) algorithm, is suggested. The representative volume element (RVE) was used in association with a choice of a behavior law and a damage law as an input data. Algorithms for ML classification such as K-nearest neighbors (k-NN) and a special k-NN with a dynamic time warping metric were used. The hierarchical clustering through dendrograms visualizations allowed to exhibit the impact of composite parameters in relation to fiber, matrix properties and fiber volume fraction on the strain degradation under external static pressure. Continuing this, the optimum RVE which shows a low degradation value will be exhibited.

This study presents the fabrication of an all-solid-state lithium-ion battery using lithium manganese oxide (LiMn₂O₄; LMO) as the cathode, graphite (C), and carbon-coated magnesium (MgC) as the anode, along with a silicate-based solid electrolyte. To assess the charge/discharge mechanism, three polymeric membranes with varying weight percentages (5%, 30%, and 50%) of magnesium silicate are produced through battery-cloth deposition (BCD) for use as the solid electrolyte. The findings reveal that enhancing the magnesium silicate content in the solid electrolyte (particularly at 50%) results in an increased specific capacity of the battery. The MgC anode exhibits a peak capacity of approximately 780 mAh/g during the third cycle, maintaining capacity retention of 100% over 26 cycles, addressing the issues of low specific capacity and self-discharge in the solid-state Li-ion battery. Nevertheless, prolonged charge/discharge testing leads to an escalation in the surface roughness and porosity of the carbon coating on the MgC anode, resulting in a decline in capacity. These results demonstrate that the LMO-BCD-MgC battery system proposed in this study is a secure, eco-friendly, and cost-effective option with potential applications in energy storage.

It is important to enhance the efficiency of perovskite solar cells (PSCs) to improve the energy storage performance within a time frame. In this study, a lead-free perovskite Cs₂NaGaBr₆ n-i-p solar cell is presented for higher PCE to improve energy storage performance. Keeping the toxicity of lead-based perovskite in mind we have made attempts to study the characteristics of n-i-p solar cells based on lead-free double halide perovskite Cs₂NaGaBr₆ novel material. In the proposed photovoltaic framework, M₂¹⁺N²⁺N³⁺X₆¹⁻ as a double perovskite material is used, where N²⁺ = Na, M₂¹⁺ = Cs, N³⁺ = Ga, and X₆¹⁻ = Br. The Cs₂NaGaBr₆ is an organic-inorganic perovskite material because of its direct band gap structure with a band gap of 1.762 eV. The solar cell proposed in the present framework has achieved a higher efficiency of 26.09% with optimized parameters specific to device design in terms of different absorber layer thicknesses (0.6–1.2 μm), and absorber layer doping concentrations (1 × 10¹⁸ cm⁻³ to 1 × 10²² cm⁻³). In the present study, improved results are obtained such as electric field, current density, energy band profile, generation and recombination factor, quantum efficiency, and generation/ recombination factor by suitably varying the absorber layer thicknesses and absorber layer doping concentrations. Additionally, many parameters related to the photovoltaic performance of solar cells such as J_sc (19.535 mA/cm²), V_oc (1.775 V), FF (91.35%), and PCE (η) (27.81%) have been evaluated in the present study. Therefore, the device, that is, solar cell based on lead-free double halide perovskite Cs₂NaGaBr₆ novel material, proposed in the present study may be used to manufacture much more efficient lead-free perovskites for photovoltaic applications and also improve the energy storage performance within a time frame.