
Xi'an Jiaotong University, China


fmos
Open Access
Article
Article ID: 2211
by George Efthimiou
Energy Storage and Conversion, Vol.3, No.2, 2025;
This study investigates the maximum wind energy potential of points that exhibit the highest correlation in an urban environment. A wind tunnel experiment that was simulated in a previous study using the Large Eddy Simulation (LES) methodology to generate wind speed time series at various locations within a complex urban setting. The analysis focuses on the correlation of wind speeds at different heights and spatial points, demonstrating a clear dependence on height, with maximum correlations generally increasing as height increases. This phenomenon is attributed to the disruption of turbulent eddies by buildings, which significantly influences the wind flow patterns. The Spectral Proper Orthogonal Decomposition (SPOD) technique is employed to calculate the maximum wind energy, revealing that the maximum values occur on building rooftops. Additionally, an empirical equation is proposed, relating the maximum wind energy to the distance between the most correlated points, with a relatively high correlation coefficient. The findings of this research have practical implications for the optimization of renewable energy resources, particularly in urban environments where wind flow is highly complex. This study contributes to the understanding of wind energy potential in urban settings, offering insights that could be valuable for the placement and design of wind turbines in such challenging environments. The study revealed a significant dependence of wind energy potential on spatial positioning and height, with maximum values occurring at rooftops. An empirical equation was developed to predict the difference in maximum wind energy based on the distance between highly correlated points, offering a practical tool for urban wind energy optimization. These findings provide actionable insights for the integration of renewable energy systems in complex urban settings.
Open Access
Article
Article ID: 2232
by Jale Gülen, Abdullah Bilal Öztürk
Energy Storage and Conversion, Vol.3, No.2, 2025;
Energy is a prime agency for economic liberty and sustainability. It can be supplied from fossil or renewable sources. Hydropower is a renewable energy source that generates electricity without emitting greenhouse gases. So, it possesses significant potential for replacing fossil fuel power plants and providing energy by reducing carbon-based energy sources. In that sense, Turkey has several promising initiatives, such as the Southeastern Project (GAP), which generates 27 billion kWh of hydroelectric energy. On the other hand, Turkey has significant installed capacity. The Atatürk Dam is the sixth largest volume dam in the world, and the average electricity energy production is 8.5 billion kWh/year. Based on the geographic distribution of these sources, a significant portion of the water potential is located in the southeast (28%) and the Black Sea region (8%). Considering these advantages of hydropower, this article shows the hydraulic energy potential in our country. Energy necessities and the balance between supply and demand and their effects are also comprehensively discussed. Finally, the presented study emphasized that Turkey has high hydraulic potential due to its varied topology and numerous rivers. That source also displays economically feasible, environmentally available, and unique domestic characteristics.
Open Access
Article
Article ID: 2104
by Eva-Maria Grommes, Leonie Bremer, Valérie Varney, Ulf Blieske
Energy Storage and Conversion, Vol.3, No.2, 2025;
This study examines the application of sufficiency practices in rental housing with a focus on enhancing energy efficiency. In particular, it considers how rental market structures influence tenants’ energy use behaviors. Given that rental housing represents a substantial proportion of urban residential buildings, it is imperative to gain insight into the dynamics between landlords and tenants in order to effectively manage energy usage. The research methodology employs a combination of literature review, chatbot-based surveys, and expert interviews to gather insights from tenants and landlords, with the objective of identifying practical strategies to support energy-efficient living. The findings indicate a significant interest among tenants in energy-saving practices, underscoring the pivotal role of landlords in disseminating information about energy efficiency measures. However, the prevailing market structures frequently constrain tenants’ ability to implement significant energy savings. The implementation of supportive policies, particularly those that encourage landlords to undertake energy-efficient retrofits, is identified as a crucial means of facilitating tenant engagement. The study concludes with policy recommendations that emphasize the necessity of both tenant engagement and landlord accountability in promoting energy-efficient behaviors. These insights are intended to inform the development of future retrofitting standards and policies that foster a more sustainable rental housing market.
Open Access
Article
Article ID: 3249
by Seyit Emre Özcan, Hayri Arabaci
Energy Storage and Conversion, Vol.3, No.2, 2025;
The electrical equivalent circuit model (ECM) is widely employed for state of charge (SOC) estimation in lithium-ion batteries. Among ECM-based approaches, the Thevenin equivalent circuit model (TECM) is particularly favored due to its computational efficiency and ease of parameter identification. TECM can be implemented in various configurations, with 1RC, 2RC, and 3RC structures being the most common. In these configurations, each RC unit consists of a resistor (R) and a capacitor (C) connected in parallel and incorporated into the circuit branch in series. As the number of RC branches increases, the computational burden of SOC estimation also rises. However, the improvement in estimation accuracy does not scale proportionally with the increased model complexity. A critical factor influencing the accuracy of SOC estimation is the precise determination of ECM parameters. A widely accepted principle suggests that when a parameter can be directly computed from the available data, it is preferable to use the calculated value rather than an estimated one. In line with this principle, this study directly calculates the internal resistance parameter (R0), which is connected in series with the RC branches in TECM, using test data while estimating the remaining RC parameters. SOC estimation is conducted for 1RC, 2RC, and 3RC configurations, and results are compared with those obtained from ECMs where all parameters, including R0, are estimated. To ensure a rigorous comparison, all estimations are performed using the nonlinear least squares method (LSM). The study employs test data from the US06 and UDDS driving cycles, and performance evaluation is conducted based on error distributions (box plots), root mean square error (RMSE), mean absolute error (MAE), and computational cost. The results showed that there is no significant difference between the error values of the predictions made using the model in which R0 is directly calculated and those made using the model in which R0 is estimated. Specifically, for the 1RC model structure, the lowest MAE values are 6.2 and 6.1 millivolts, respectively. However, these values indicate that the nonlinear LSM can be effectively used for estimating the parameters of the battery electrical circuit model.
Open Access
Review
Article ID: 2945
by Nadezhda A. Andreeva, Vitaly V. Chaban
Energy Storage and Conversion, Vol.3, No.2, 2025;
Metal film capacitors are ubiquitous components in modern electronics, playing an important role in energy storage, filtering, and voltage regulation. However, their performance and reliability can be reduced by partial electrical breakdowns caused by defects in the dielectric material. An attempt to partially mitigate this problem is the use of self-healing capacitors. The self-healing phenomenon significantly increases the service life of the device. This review presents a comprehensive analysis of the currently known aspects and mechanisms of self-healing in metal film capacitors. The role of the self-healing phenomenon in increasing the number of operating cycles of a dielectric capacitor is discussed. The molecular processes underlying significantly different self-healing potentials of dielectric polymers are verified. The review is addressed to specialists in electrical engineering.
Open Access
Perspective
Article ID: 2515
by Ayesha Kausar
Energy Storage and Conversion, Vol.3, No.2, 2025;
In light of eras of scientific endeavors on carbon nanotubes and related nanomaterials, we notice extending applications of carbon nanotubes from high-tech energy/electronic devices to defense, engineering, and medical fields. Carbon nanotubes, being one of the initial nanocarbon technology breakthroughs, emerged as a frontline competitor for designing advanced energy devices/systems. As per literature so far, carbon nanotubes render valuably high specific surface area/properties, design adaptabilities, structural synergies, low expenses/density/toxicity, interfacial/percolation effects, and desirable energy storage (charge/electron flow, capacity/capacitance, capacity retention, reversible discharge, cyclic span, etc.) and energy conversion (power conversion efficiencies, energy/power density, photovoltaic effects, durability, etc.) parameters for devices. Looking at the up-to-date demand for carbon nanotubes in high-end energy storage and conversion systems (batteries, capacitors, photovoltaics), this perspective manuscript is planned to unveil the actual state-of-the-art and advancements in this field. Despite the success to date, real-world employment of carbon nanotube-derived energy systems seems to rely upon overcoming challenges for integrating these nanomaterials in next-generation energy assemblies. To meet current technological necessities, green-sourced carbon nanotube nanomaterials must be practiced for modern and future sustainable energy industries.