Field Of Renewable Energy Research Articles

The application of semiconductor nanomaterials in renewable energy

Abstract. In the development of renewable energy, the usage of solar cells, fuel cells, hydrogen energy, thermoelectric energy, and thermal energy has become a significant focus of research and development. Semiconductor nanomaterials play important roles in these fields. This paper focuses on the usage of TiO2 and In2O3 in renewable energy and finds out the trends and outlook of semiconductor nanomaterials in this field. TiO2 nanomaterials have attracted widespread attention due to their unique structure and excellent properties, such as their large specific surface area, high surface activity, and sensitivity. TiO2 nanomaterials are highly active in photovoltaic applications and play an important role in the search for renewable, clean energy technologies. In2O3 is an excellent n-type transparent semiconductor functional material, characterized by high sensitivity, low resistivity, good conductivity, high catalytic activity, and wide bandgap width. It has shown good competitiveness in gas sensors, solar cells, and photocatalysis fields. Although these semiconductor nanomaterials have many advantages, there are still some drawbacks that hinder their development. There is still much work to be done for the wider application of semiconductor nanomaterials in the field of renewable energy.

Global renewable energy transition in fossil fuel dependent regions

The worldwide shift towards renewable energy, as defined by the United Nations' Sustainable Development Goals (SDGs) in 2015, is a crucial milestone in achieving a sustainable future. The core focus of SDG 7 is to advance the accessibility, dependability, and environmentally-friendly nature of energy, aiming to substantially enhance the proportion of renewable energy sources and enhance energy efficiency. Although there have been significant developments in renewable energy, notably in solar and wind technologies, the rate of transition is still inadequate to achieve climate objectives. This study examines the imperative of implementing policy changes and integrated strategies to align global and local goals, while tackling the issues of resource allocation and the pressing need to transition away from fossil fuels in order to mitigate global temperature increase. Case studies showcase effective national endeavors, such as Brazil's Proalcool, Germany's Energiewende, and India's ambitious renewable energy objectives, illustrating diverse strategies for bolstering renewable energy capability. The report also analyzes the economic consequences for emerging nations that heavily rely on fossil fuels and the expected effects of reduced fossil fuel consumption. This article offers a detailed analysis of the current advancements, difficulties, and variations across different regions in the field of renewable energy. It gives valuable information on the future of global renewable energy plans, highlighting the importance of unified worldwide endeavors to attain a sustainable energy future.

Simulation of PSDF (Photovoltaic, Storage, Direct Current and Flexibility) Energy System for Rural Buildings

The PSDF (photovoltaic, storage, direct current, and flexibility) energy system represents an innovative approach aimed at achieving carbon neutrality. This study focused on rural buildings and utilized Modelica to develop a dynamic simulation model of the PSDF system. The research introduced a framework for direct current distribution microgrid systems with flexible regulatory mechanisms, employing a virtual inertia control strategy to provide stable adjustments for flexible operations and support integration with local grids. Case simulation results indicated that the system equipped with a water tank saved 3.15 kWh compared to the system without a water tank, resulting in an energy savings rate of 22.14%. Compared to traditional photovoltaic systems, the PSDF system significantly enhanced energy management flexibility and system reliability through the integration of thermal storage and battery management. This research made significant contributions to the fields of renewable energy and building energy systems by offering a scalable and practical solution suitable for rural contexts.

Analysis of the Impact of China's Carbon Neutrality Policy on the Environment and Economy at Home and Abroad

China has made remarkable achievements in reducing greenhouse gas emissions, especially in achieving the emission reduction targets set for 2020. This progress is mainly due to China's reduced dependence on coal and other fossil fuels, which not only promotes significant improvements in air quality but also lays the foundation for the transformation of China's economic structure. Especially in the energy and industrial fields, carbon neutrality policies are driving companies to transform into greener and more sustainable operating models. Facing the economic challenges brought about by the COVID-19 epidemic, China is actively seeking a path to low-carbon economic recovery by increasing public investment in renewable energy and other fields. From an international perspective, China's carbon neutrality commitment has the potential to inspire other large carbon-emitting countries, especially countries along the Belt and Road and neighboring countries, to strengthen their emission reduction efforts. At the same time, Southeast Asian countries face shortages of technology, equipment, and raw materials, as well as insufficient investment when developing renewable energy. In this regard, Chinas experience and investment have a significant impact on Southeast Asian countries carbon neutrality policies and renewable energy development. China can use its technological and manufacturing advantages to share resources with neighboring countries in renewable energy technology and equipment manufacturing, and provide support for ASEAN countries to achieve their renewable energy goals.

Nonlinear control of the permanent magnet synchronous motor PMSM using input-output linearization control and sliding mode control

Today, electric machines are becoming increasingly important in all sectors (industrial drives, the automotive industry, aviation, traction systems, and agriculture, etc.). Among these machines, permanent magnet synchronous machines (PMSMs) hold a significant place in the control of industrial mechanisms, automated systems, and in the fields of renewable energy like (wind energy, solar energy, and hybrid systems, etc ). Currently, in variable speed drives, the use of PMSM, especially for low power and certain special industrial applications, is replacing DC motors and asynchronous motors because they offer higher efficiency, power factor, and torque density. Moreover, PMSM do not have an excitation circuit in the rotor, which leads to reduced maintenance demands. The control of permanent magnet synchronous machines (PMSM) presents significant challenges due to their nonlinear behavior. Classical linear controllers, such as PI, perform well with linear systems that have constant parameters. However, for nonlinear systems with varying parameters, the conventional control methods may prove insufficient and exhibit a lack of robustness. To address the issues and achieve decoupled machine control, various methods have been proposed. Nonlinear robust control techniques have been extensively explored within the domain of power electronics and drive systems. Included in these, sliding mode control and nonlinear input-output feedback linearization (IOFL). Sliding mode control (SMC) is a control technique known for its excellent dynamic performance in PMSM drives. It offers high robustness and straightforward implementation in both software and hardware. However, a significant drawback of this method is the chattering phenomenon. By the way the input/output linearization control can provide good behavior in steady and dynamic regimes and also provides good decoupling between system variables. This article presents a design of tow control laws based on sliding mode and feedback linearization controller based on input-output feedback linearization to adjust the speed of a permanent magnet synchronous motor (PMSM). To highlight the effectiveness of the designed controllers, a comparison was carried out Matlab Simulink, revealing that the feedback linearization controller outperforms the SMC.

Innovation in renewable energy in Morocco: economic opportunities and policy measures

Our study examines the analysis of the determinants of eco-innovation in renewable energy in Morocco. To this end, we have tried to conceptually and theoretically understand eco-innovation, its emergence and its affirmation in the field of renewable energies. Using hypothetical-deductive reasoning, we made a quantitative assessment of the main economic and policy measures related to renewable energy and eco-innovation. The results show that "the propensity to collaborate with third countries in environmental technologies", as well as "energy depletion", stimulate innovation in renewable energy, while "revenues generated from environmental taxes" appear to have a deterrent effect on patenting. In sum, the key insights from the theoretical and empirical exploration resulting from our work highlight the factors driving innovation in renewable energy and prompting Moroccan policymakers to put in place the necessary measures to further support the energy transition.

A Systematic Review of Literature on Intellectual Property and the Creative Industry in Africa Using Scopus

The shift of the world to a knowledge economy, mainly driven by Intellectual Property (IP), calls for research dissemination through scholarly publishing to promote the protection and commercialisation of IP. In Africa, innovations such as mobile payment systems, drones, and development in the fields of renewable energy, biotechnology, and artificial intelligence have become key drivers of economic growth and development. However, many African countries have yet to know and appreciate the value of IP to their economies. The benefits of IP may be fully realised through proper awareness and understanding of IP using scholarly publications. The study sought to examine the published documents that focus on IP and the creative industry in Africa in order to create awareness and understanding of the breadth and scope of IP and IPRs. Content analysis was conducted on Scopus using descriptive informetrics. The Scopus database was used to ascertain the published documents that focus on IP and the creative industry in Africa. The researcher used the search string TITLE, ABSTRACT, KEYWORD and also applied Scopus “Analyse Search Results”, which facilitated in-depth analysis of the documents according to the key indicators (the year of publication, territory or country, source, author, institute/ affiliation, types of document, subject areas and sponsors). The analysis revealed that there were very few documents published each year on IP and the creative industry published in Africa. Although documents on IP and the creative industry in Africa were published through three document types, there was a diversity of the subject areas in which research on IP and the creative industry in Africa was found. Of the available research, most authors were affiliated with institutions in Africa, but only one of the journals belonged to an African country, and of all the sponsors, only four belonged to an African country. There was very little research on IP and the creative industry published in Africa, although IP is applicable to different disciplines. Africa needs to improve its science and technology capacity, research facilities and funding, and understanding and awareness of IP. Scholarly publishing on IP and the creative industries would be more pronounced if supported by local sponsors and journals instead of relying on scholars and institutions affiliated with countries outside Africa.

High-throughput screening of efficient graphdiyne supported transition metal single atom toward water electrolysis and oxygen reduction

Efficient single-atom electrocatalysts show great potential for application in the field of renewable energy. In this work, dispersion-corrected density functional theory (DFT) calculations based on high-throughput screening were used to identify effective graphdiyne (GDY) supported single-atom electrocatalysts (SAECs) for water electrolysis and the oxygen reduction reaction (ORR). The solvation effect on the electrocatalytic performance of the catalysts was carefully discussed. A general design principle was established to evaluate the activities of TM@GDY SAECs for ORR and oxygen evolution reaction (OER). ΔGOH* could serve as the sole descriptor for the onset potential of OER and ORR. Additionally, a universal structural descriptor φ, which is strongly related to ΔGOH*, was identified. This descriptor only includes intrinsic features such as the number of electrons in d orbitals and elemental electronegativity. Consequently, a structure-activity volcano was plotted. Combined with the electronic properties calculations, the mechanism behind the relationship between ΔGOH* and descriptor φ was deeply analyzed. Among the investigated candidates, TM@GDY (TM = Ni, Pt, Pd, Cu, Co, Rh, and Ag) are potential bifunctional electrocatalysts for OER and ORR. Three non-noble metal-based SAECs (Ni@GDY, Co@GDY, and Cu@GDY) and two noble metal-based SAECs (Rh@GDY and Ag@GDY) are potential trifunctional electrocatalysts for OER, ORR, and the hydrogen evolution reaction.

DFT based computational investigations of the physical properties of chalcogenide perovskites CsXS3 (X=P, Ta) for optoelectronic and photovoltaic applications

In this study, we employed density functional theory (DFT) calculations to systematically characterize the structural, mechanical, electronic, thermal, and optical properties of CsXS₃ (X = P, Ta), one of the most promising members of the chalcogenide perovskite (CP) family. Our theoretical findings align strongly with reported syntheses of other CP's, highlighting CsXS₃ (X = P, Ta) as most stable compounds. These materials satisfy the Born stability criteria, indicating robust mechanical stability, exhibit anisotropy, and demonstrate acceptable resistance to deformation under external stress. CsPS₃ and CsTaS₃ feature direct bandgaps of 1.91 eV and 0.51 eV, with small photocarrier effective masses, high absorption coefficients (1.6 × 10⁶ and 2.1 × 10⁶ cm⁻1), low reflectivity (15 % and 20 %), reduced loss function (0.6 and 0.4) and low refractive index (2.5 and 3.1), respectively. These properties underscore the potential of CsXS₃ (X = P, Ta)-based CP's for developing more efficient and stable optoelectronic devices and indoor photovoltaics. Notably, CsPS₃ is a strong contender for thermoelectric applications due to its lower Debye temperature compared to other CP's. Overall, our results demonstrate the great promise of CsXS₃ (X = P, Ta) chalcogenide perovskites in advancing the field of renewable energy and optoelectronics.

Photocatalytic Reforming of Ethanol in the Liquid Phase Using a Ternary Composite of Rh/TiO2/g-C3N4 as a Catalyst.

Photocatalytic reforming of ethanol provides an effective way to produce hydrogen energy using natural and nontoxic ethanol as raw material. Developing highly efficient catalysts is central to this field. Although traditional semiconductor/metal heterostructures (e.g., Rh/TiO2) can result in relatively high catalyst performance by promoting the separation of photoinduced hot carriers, it will still be highly promising to further improve the catalytic performance via a cost-effective and convenient method. In this study, we developed a highly efficient photocatalyst for ethanol reformation by preparing a ternary composite structure of Rh/TiO2/g-C3N4. Hydrogen is the main product, and the reaction rate could reach up to 27.5 mmol g-1 h-1, which is ∼1.41-fold higher than that of Rh/TiO2. The catalytic performance here is highly dependent on the wavelength of the light illumination. Moreover, the photocatalytic reforming of ethanol and production of hydrogen were also dependent on the Rh loading and g-C3N4:TiO2 ratio in Rh/TiO2/g-C3N4 composites as well as the ethanol content in the reaction system. The mechanism of the enhanced hydrogen production in Rh/TiO2/g-C3N4 is determined as the improvement in the separation of photoinduced hot carriers. This work provides an effective photocatalyst for ethanol reforming, largely expanding its application in the field of renewable energy and interface science.

Sustainable hybrid energy system’s reliability optimization by solving RRAP-CM with integration of metaheuristic approaches

PurposeThis research introduces an innovation strategy aimed at bolstering the reliability of a renewable energy resource, which is hybrid energy systems, through the application of a metaheuristic algorithm. The growing need for sustainable energy solutions underscores the importance of integrating various energy sources effectively. Concentrating on the intermittent characteristics of renewable sources, this study seeks to create a highly reliable hybrid energy system by combining photovoltaic (PV) and wind power.Design/methodology/approachTo obtain efficient renewable energy resources, system designers aim to enhance the system’s reliability. Generally, for this purpose, the reliability redundancy allocation problem (RRAP) method is utilized. The authors have also introduced a new methodology, named Reliability Redundancy Allocation Problem with Component Mixing (RRAP-CM), for optimizing systems’ reliability. This method incorporates heterogeneous components to create a nonlinear mixed-integer mathematical model, classified as NP-hard problems. We employ specially crafted metaheuristic algorithms as optimization strategies to address these challenges and boost the overall system performance.FindingsThe study introduces six newly designed metaheuristic algorithms. Solve the optimization problem. When comparing results between the traditional RRAP method and the innovative RRAP-CM method, enhanced reliability is achieved through the blending of diverse components. The use of metaheuristic algorithms proves advantageous in identifying optimal configurations, ensuring resource efficiency and maximizing energy output in a hybrid energy system.Research limitations/implicationsThe study’s findings have significant social implications because they contribute to the renewable energy field. The proposed methodologies offer a flexible and reliable mechanism for enhancing the efficiency of hybrid energy systems. By addressing the intermittent nature of renewable sources, this research promotes the design of highly reliable sustainable energy solutions, potentially influencing global efforts towards a more environmentally friendly and reliable energy landscape.Practical implicationsThe research provides practical insights by delivering a comprehensive analysis of a hybrid energy system incorporating both PV and wind components. Also, the use of metaheuristic algorithms aids in identifying optimal configurations, promoting resource efficiency and maximizing reliability. These practical insights contribute to advancing sustainable energy solutions and designing efficient, reliable hybrid energy systems.Originality/valueThis work is original as it combines the RRAP-CM methodology with six new robust metaheuristics, involving the integration of diverse components to enhance system reliability. The formulation of a nonlinear mixed-integer mathematical model adds complexity, categorizing it as an NP-hard problem. We have developed six new metaheuristic algorithms. Designed specifically for optimization in hybrid energy systems, this further highlights the uniqueness of this approach to research.

Cu2+ ions implanted porous titania for efficient dye sensitized solar cells

In the quest to unlock the remarkable potential of nanotechnology, the sol-gel method was employed to craft a porous TiO2 nanostructured film, meticulously deposited onto FTO glass substrates. This endeavor marked a significant leap as a controlled bombardment of Cu ions, accelerated at 700 keV, at varying flux rates of 2x1013, 2x1014, and 2x1015 ions/cm² was introduced to these ingeniously engineered films. A comprehensive assessment of these nanocrystalline TiO2 structures, both before and after Cu+2 ion irradiation, revealed a fascinating array of results. he anatase tetragonal structure's permanence was validated by X-ray diffraction (XRD), which improved the material's stability and integrity. In the present study, an interesting observation was made that band edges show a dynamic behavior in Cuirradiated samples in UV-Vis spectroscopy. At 2x1014 ions/cm2, the phenomena peaked, revealing an intriguing redshift and an exceptionally low band gap value of 3.39 eV. In photoluminescence spectra, the peaks corresponding to the lattice defects show a significant reduction when the flux of the Cu ions on TiO2 is adjusted to 2 x 1014 ions/cm2. It is an indication that film quality and purity have improved. This arrangement for photoanode modification helps in the development of dye-sensitized solar cells with tremendous characteristics. The fabricated device with this novel approach results in high values of open circuit voltage (Voc), short circuit current density (Jsc), fill factor (FF), and maximum photoconversion efficiency of 5.10%. These findings indicate a new era of possibilities in the field of renewable energy, since these nanostructured materials have the ability to significantly alter the solar field.

무선전력전송기술을 적용한 차세대 제품디자인 연구 - 캠핑용 인덕션 버너를 중심으로

The research background was to present a new breakthrough in the current difficult situation in many ways due to the COVID-19 crisis, the war between Ukraine and Russia and the economic downturn. The research method was to present a new concept to the general public as well as companies based on the theoretical and technical foundation through various case studies and statistics and a study on the use of eco-friendly energy through convergence with the new and renewable energy field was also conducted. By receiving and using new and renewable energy such as solar power and hydro power rather than the existing energy supply method it will be able to reduce the risk of fire, flexibly cope with carbon emission regulations, which are one of the causes of environmental pollution and develop safer more efficient and more convenient products and designs than existing products with wireless power transmission technology, it will be an opportunity to inspire designers in the future.

Encounter Barrier Factor Biogas as Renewable Energy

The existence of an anaerobic bioreactor that produces biogas can provide two benefits. First, it can produce sustainable energy. Second, it helps reduce greenhouse gas emissions and waste. Based on these two advantages, obstacles to its implementation must be overcome to realize regional energy security. The research method used is descriptive-quantitative and enriched by descriptive-qualitative by FGD, through in-depth interviews, direct observation of the field, and interviews of related parties. This research is to find the source of the problem for the gap that occurs between the real condition of biogas potential that is utilized and wasted as emissions. Based on the results of this study, there are three main obstacles that need to be optimized. The first is the difficulty of raw materials because most of them are imported. The second challenge is the price difference because the power purchase agreement was calculated before the new law came out. And third, the lack of government support. Based on these three constraints, the optimization strategy carried out is: first, facilitate regulations in the ease of procurement of supporting materials. Second, the government regulates and straightens regulations related to price differences. Third, central and local governments should actively support development by increasing training, education, and capacity building for policymaking and analysis in the field of new and renewable energy.

Harnessing Renewable Energy in Basra, Iraq: Study the Wind Energy

This research focuses on an important sector in the field of renewable energies, which is wind energy in Basra Governorate, where an area characterized by high grasses on flat land was chosen, and monthly wind speed data was used for thirty years during the period (1/1/1982 until (1/1/) 2021) and at an altitude of 10 m from the European Center for Weather Forecasting (ECMWF). To calculate the wind speed at several altitudes, the power law was used at several altitudes (70, 80, 90, 100) m, where it was possible to identify the wind behavior during the chosen time period, and a change was observed. Wind speed from one month to another, from one season to another, and from one year to another when changing the height of the wind turbine. The actual power extracted from the wind was also calculated and its effect by changing the height of the wind turbine. It was found that by increasing the height to 70, 80, 90, 100 meters, the power of the wind increases. Each time, its maximum value reached (6.36) megawatts at a height of 100 meters above the ground. By calculating wind energy at different heights, this study can be considered as attempt to develop and harnessing renewable energy in Basra, Iraq. ​

Zn/Co bimetallic metal-organic framework derived carbon anode with enchanted rate capability for lithium-ion capacitors

Lithium-ion capacitors (LICs) combine the advantages of lithium-ion batteries and supercapacitors, demonstrating great application prospects in the fields of large-scale renewable energy, and have been attracting increasing attention. Regrettably, the power capability of LICs is significantly hindered by the incongruent kinetics between battery-type anodes and capacitive cathodes. To address this challenge, in this study, a carbon anode derived from Zn/Co bimetallic metal-organic framework (MOF), specifically the Zn80Co20-PC, is synthesized through a direct carbonization process. Benefitting from the optimal degree of graphitization, substantial specific surface area, and comprehensive porous structure, the incongruent behaviour is effectively alleviated. As a result, the battery assembled with Zn80Co20-PC yielded an impressive capacity of 397.1 mAh g−1 at a current density of 0.1 A g−1 and a commendable rate capability of 109.6 mAh g−1 at 1.6 A g−1. Moreover, the LICs crafted with a pre-lithiated Zn80Co20-PC anode and an activated carbon (AC) cathode (designated as Zn80Co20-PC//AC LICs) exhibit a notable energy density of 123 Wh kg−1 and an elevated power density of 7150.3 W kg−1, maintaining exceptional durability through 5000 cycles. This study introduces innovative strategies for integrating advanced anode materials into lithium-ion capacitors.

Optimizing Electric Vehicle (EV) Charging with Integrated Renewable Energy Sources: A Cloud-Based Forecasting Approach for Eco-Sustainability

As electric vehicles (EVs) are becoming more common and the need for sustainable energy practices is growing, better management of EV charging station loads is a necessity. The simple act of folding renewable power from solar or wind in an EV charging system presents a huge opportunity to make them even greener as well as improve grid resiliency. This paper proposes an innovative EV charging station energy consumption forecasting approach by incorporating integrated renewable energy data. The optimization is achieved through the application of SARLDNet, which enhances predictive accuracy and reduces forecast errors, thereby allowing for more efficient energy allocation and load management in EV charging stations. The technique leverages comprehensive solar and wind energy statistics alongside detailed EV charging station utilization data collected over 3.5 years from various locations across California. To ensure data integrity, missing data were meticulously addressed, and data quality was enhanced. The Boruta approach was employed for feature selection, identifying critical predictors, and improving the dataset through feature engineering to elucidate energy consumption trends. Empirical mode decomposition (EMD) signal decomposition extracts intrinsic mode functions, revealing temporal patterns and significantly boosting forecasting accuracy. This study introduces a novel stem-auxiliary-reduction-LSTM-dense network (SARLDNet) architecture tailored for robust regression analysis. This architecture combines regularization, dense output layers, LSTM-based temporal context learning, dimensionality reduction, and early feature extraction to mitigate overfitting. The performance of SARLDNet is benchmarked against established models including LSTM, XGBoost, and ARIMA, demonstrating superior accuracy with a mean absolute percentage error (MAPE) of 7.2%, Root Mean Square Error (RMSE) of 22.3 kWh, and R2 Score of 0.87. This validation of SARLDNet’s potential for real-world applications, with its enhanced predictive accuracy and reduced error rates across various EV charging stations, is a reason for optimism in the field of renewable energy and EV infrastructure planning. This study also emphasizes the role of cloud infrastructure in enabling real-time forecasting and decision support. By facilitating scalable and efficient data processing, the insights generated support informed energy management and infrastructure planning decisions under dynamic conditions, empowering the audience to adopt sustainable energy practices.

Constructing renewable energy sphere for efficient search

In the field of renewable energy (RE), traditional methods for understanding, development, and education have heavily relied on 2D table formats for data retrieval and presentation. However, these formats suffer from inefficiency and an inability to fully capture the relationships between variables. In response to this challenge, Li et al. (2022) demonstrated that their therapeutic 3D sphere system significantly outperformed the therapeutic 2D table in query processing time. Furthermore, Shih et al. (2020) utilized a T-test to underscore the superiority of the TED Talks sphere over the TED Talks 2D table format website in terms of convenience, query processing efficiency, usefulness, and intuitiveness. Building upon this foundation, this study referenced and enhanced the work of Li et al. by introducing a three-dimensional spherical visualization model driven by cluster-based binary integer programming (BIP). This novel approach resulted in a 58% reduction in information retrieval time and achieved an impressive 86.4% user satisfaction rating. It is worth noting that compared to the previous Systematic Review and Synthesis (SRS), user satisfaction experienced a significant 19% improvement. This improvement enhances the search efficiency for RE information, thereby fostering public awareness and development of RE. Taking energy supply-demand balance sheets as an example, this study demonstrates that the spherical retrieval system (SRS) constructed by the visualization 3D spherical model resolves the issue of inefficient retrieval in 2D table formats, and the newly added functionality of highlighting objects on the spherical surface intuitively illustrates the one-to-many relationships between individual RE supply and demand. To optimize hardware and software performance, data mining techniques are employed to cluster supply data, reducing complexity, and improving optimization efficiency. The experiment is that testers search for the same targets and compared the proposed 3D SRS with the Taiwan Power Company (Taipower) 2D website in terms of retrieval speed and accuracy. The statistical results of the T-test indicate that the proposed 3D SRS is more effective and accurate than the Taipower 2D website. The research findings indicate: 1. The new 3D SRS reduces query time by 58%. 2. Adopting the k-means algorithm for clustering and batch optimization can transform from an initially infeasible solution to finding the optimal solution within 12 s. This method also reduces computer software and hardware costs, providing effective solutions for relevant applications. These technologies can be used for the education, promotion, publicity, and dissemination of RE.

Reimagining Teaching Style Through Renewable Energy Quality Assessment—A Focus on Power Technology and Equipment

This article delves into teaching style translation strategies from the perspective of power energy quality assessment, using power technology and equipment as specific cases, with the aim of enhancing the international dissemination efficiency of power energy professional knowledge in the education field. Through detailed data analysis, this article reveals the rapid pace of technological updates and equipment upgrades in the power energy industry, especially in the fields of smart grids and renewable energy. As of 2023, the proportion of non fossil energy generation installed capacity worldwide has approached 50%, indicating that the power industry is accelerating its transition to green and low-carbon. This article pays special attention to the complex terms and concepts involved in the teaching of power technology and equipment. Using the principle of adaptability in translation theory, it analyzes how to accurately convey the precise meanings of these terms in the translation process, ensuring that international students can accurately understand and master key knowledge points. By comparing traditional teaching methods with a new teaching model that incorporates elements of power energy quality assessment, the study found that the latter performs more outstandingly in improving students' practical and problem-solving abilities. Specifically, the accuracy of students in simulating power system fault handling has increased by about 30%. In addition, this article also utilizes big data analysis technology to comprehensively sort out and evaluate teaching resources in the field of power energy, and finds that high-quality teaching materials and case sharing are crucial for improving teaching effectiveness. Based on the above analysis, this article proposes a series of optimization suggestions for teaching style translation, in order to provide strong support for the international education of power energy majors and promote the exchange and progress of global power energy technology.

Development of Bromine Adsorbing Carbon Felt Electrode by Coating of Nitrogen-Doped Mesoporous Carbon Layer for Highly Stable Flowless Zinc-Bromine Battery

Renewable energy is well known for the extreme volatility of power production, and secondary battery-based energy storage systems (BESS) are the key to the novel and safe energy industry to expand the supply of renewable energy. Currently, lithium-ion battery-based ESS is commonly used, but the frequent ignition accidents from these ESSs rather become an obstacle to the growth of the renewable energy field. Among the redox batteries, the flowless zinc-bromine battery (FLZBB) is studied as the alternative since it uses a non-flammable and cost-effective aqueous Zn- Br2 electrolyte. However, its main challenges are that bromine (Br2) and polybromide anions (), formed at the positive electrode during the charging process, cross over to the negative electrode due to the difference in chemical potential between the electrodes. The diffused Br2 oxidizes the zinc metal, electrodeposited on the negative electrode, and causes a self-discharge reaction that consumes the charging active material and Br2 the battery performance and life. Herein, we present a nitrogen-doped mesoporous carbon coated on the pristine graphite felt fibers (NMC/GF). By uniformly forming a nitrogen-doped porous carbon material on the GF fibers through the evaporation-induced self-assembly (EISA) method, it is a simple and cost-effective method to develop the structural and properties of the GF positive electrode to increase the ability of adsorption and storing the active materials, Br2 and polybromide anions (,, and ) generated during the charging process. In addition, it also improved the bromine redox reaction kinetics by having a strong affinity with the aqueous Zn-Br2 electrolyte. This facilitates long-term charge/discharge cycles, enabling high performance and improved durability for Coulombic efficiency over 95% for 5000 cycles in the FLZBB single-cell platform at a current density of 20 mA cm-2 and a high-rate areal capacity of 2 mAh cm-2.