Molecular dynamics study of chloride solid electrolyte-water interfacesRan, Xiayu
doi: 10.1088/1742-6596/3018/1/012001pmid: N/A
High energy density in all-solid-state lithium batteries (ASSLBs) requires the development of highly Li+ conductive solid-state electrolytes (SSEs) with good chemical and electrochemical stability. Recently, halide SSEs based on different material design principles have opened up new opportunities for ASSLBs. However, the large-scale use of such inorganic superionic conductors seems unlikely due to the easy hydrolysis of metal halides. Utilizing theoretical computational tools, we investigate the reaction mechanism between halide solid-state electrolytes, particularly Li3InCl6, and water. Our study delves into the atomic-level structural changes that occur at the SSEs/water interface during this reaction. These findings provide a foundation for enhancing the water tolerance of SSEs and further advance the design of high-performance solid-state electrolytes.
Automatic simulation and energy storage assessment algorithm for heating networks considering ring topologyZhou, Ziyu; He, Kelun; Chen, Qun; Yu, Peng; Li, Dianyang; Cui, Dai
doi: 10.1088/1742-6596/3018/1/012020pmid: N/A
To address the complexity of energy storage evaluation and dispatch in ring-shaped heating networks within integrated electrical-thermal energy systems, this paper proposes a dynamic energy storage automation evaluation and optimal control method based on the heat current method. Leveraging graph theory, the ring-shaped network is decomposed into modular heat current models under supply and return water conditions. By combining time-domain simulation with a bisection iteration strategy, the passive energy storage capacity of the network is quantified in real-time. Using dynamic thermal storage characteristics as boundary conditions, a model predictive control (MPC) rolling optimization framework is constructed to generate day-ahead dispatch plans that balance thermal system requirements and wind power accommodation. The proposed method significantly reduces carbon emissions in integrated energy systems, enhances multi-energy synergy flexibility, and provides theoretical and technical pathways for integrating high-penetration renewable energy.
Photovoltaic power prediction based on quadratic decomposition and deep learningCao, Qianlei; Chen, Guici; Dai, Jiajun
doi: 10.1088/1742-6596/3018/1/012006pmid: N/A
A collaborative deep learning prediction model based on the secondary decomposition of high-frequency data is presented to increase the prediction accuracy and robustness of photovoltaic power generation. The fully adaptive noise ensemble empirical modal algorithm (CEEMDAN) first decomposes the original power sequence. Next, the variational modal algorithm (VMD) decomposes the high-frequency randomly perturbed signals in it twice. Finally, the CNN-LSTM model predicts each component, and reconstruction yields the final power prediction. The CEEMDAN-VMD-CNN-LSTM model is compared and analyzed with other models using the Australian DKASC dataset as an example. The results demonstrate that the target method has high prediction accuracy and that the MAE is reduced by 11.49%, 30.98%, and 14.92%, respectively, in comparison to the primary decomposition prediction models, VMD-CNN-LSTM and CEEMDAN-CNN-LSTM. With an R2 of up to 0.99, the model prediction results also show the best fit to the real power, demonstrating how much the method increases the accuracy of the PV power forecast.
Prefacedoi: 10.1088/1742-6596/3018/1/011001pmid: N/A
The 2025 International Conference on Renewable Energy and Energy Conservation (REEC 2025) marked a significant milestone in the global discourse on sustainable energy solutions. Held in-person from March 7-9, 2025, in the vibrant city of Xinyu, Jiangxi, China, the conference brought together researchers, engineers, policymakers, and industry leaders to exchange cutting-edge ideas and innovations. Against the backdrop of accelerating climate change and the urgent need for energy transition, REEC 2025 served as a dynamic platform to explore interdisciplinary advancements in renewable energy technologies, energy conservation strategies, and their integration into modern infrastructure. The event was hosted by the Jiangxi New Energy Technology Institute, China.The conference agenda was meticulously designed to foster knowledge sharing and collaboration. The Opening Ceremony set the tone with inspiring remarks on the global energy landscape, followed by a series of keynote speeches delivered by eminent scholars. Prof. Qinmin Yang (Zhejiang University) elucidated the frontiers of intelligent control systems for wind turbines, bridging theory and practical implementation. Prof. Wei Xu (Chinese Academy of Sciences) unveiled breakthroughs in linear oscillatory machines, highlighting their potential for high-efficiency energy conversion. Prof. Zhipeng Wang (Jiangxi Normal University) captivated the audience with his insights into vertical graphene’s role in supercapacitor technology, while Prof. Pin Jern Ker (Sunway University) provided a comprehensive overview of hybrid energy storage systems for microgrids. Closing the keynote sessions, Prof. Raffaele Carli (Polytechnic University of Bari) presented innovative decision-making frameworks for agro-voltaic systems, emphasizing their socio-economic impact on rural communities. These talks not only deepened theoretical understanding but also sparked discussions on scalable real-world applications.The oral presentation sessions further enriched the conference, featuring rigorously peer-reviewed research across four thematic tracks: Solar and Wind Energy Technologies, Energy Storage and Grid Integration, Policy and Economics of Renewable Energy, and Emerging Materials for Energy Applications. Presentations delved into topics such as hybrid energy systems, AI-driven energy management, and socio-technical barriers to adoption. The interactive Q&A sessions fostered lively debates, reflecting the conference’s commitment to collaborative problem-solving. The Closing Ceremony celebrated these contributions and reiterated the collective responsibility to translate research into actionable solutions.List of Committee Member are available in this PDF.
A bidirectional AC-DC converter for charging piles with a backflow power optimization control strategyShen, Qingxiang; Yao, Tengfei
doi: 10.1088/1742-6596/3018/1/012022pmid: N/A
This paper proposes a single-stage isolated converter with a backflow power optimization method for V2G charging piles. The modulation algorithm is optimized, and the phase shifts are designed to minimize the backflow power. Due to the suppression of backflow power during the switching period, the power factor correction (PFC) is realized within the line frequency. Meanwhile, the transformer RMS current is decreased under both the V2G and G2V modes, which improves the efficiency of the converter. To verify the proposed strategy, simulations are carried out in PLECS and validate the effectiveness of the proposed bidirectional converter.
Shutdown load of offshore monopile wind turbine under typhoon conditionsHan, Yongcan; Cao, Fuyi; Liu, Shu
doi: 10.1088/1742-6596/3018/1/012009pmid: N/A
The performance and safety of wind turbines, which are important renewable energy facilities, are affected by many factors. Among them, the performance of the wind turbine in the face of extreme weather conditions is critical. Due to the complexity of the typhoon’s structure, the load of the wind turbine varies greatly in different life cycles. At present, there is a lack of research on the load of the wind turbine during the whole process of typhoon transit in China. Based on the comprehensive consideration of the current research on typhoons, this paper first uses the relationship between complex exponential function and trigonometric function combined with fast Fourier transform to simulate the three-dimensional wind speed time history of typhoons. Second, the Monin-Obukhov similarity theory is used to decompose the typhoon power spectrum. Finally, we take the NERL 5MW wind turbine as an example and use the improved BEM theory to analyze the whole process load of the wind turbine during the typhoon transit. The typhoon transit simulation method used in this paper can well reproduce the actual situation of typhoon transit. When the typhoon is in the front and back wall stages of the typhoon eye, the energy in the low-frequency band is significantly higher than that in the front and back wall stages of the vortex periphery. In the stage of typhoon transit, the front and rear walls of the typhoon eye have the greatest influence on the wind turbine blades. In addition, it is also found that no matter which stage in the life cycle of the typhoon, the bending moment of wind turbine blades is always dominated by the flapping bending moment.
Green energy technology: Study on anti-seepage technology of reservoir of a pumped storage power stationZhao, Kaili; Yan, Bin; Wang, Jue; Wang, Wei; Shi, Mingzhu; Duan, Xizhi
doi: 10.1088/1742-6596/3018/1/012011pmid: N/A
In this paper, the anti-seepage type design of the upper reservoir basin of a pumped storage power station is evaluated and selected comprehensively. Firstly, the importance, basic concept, classification and influencing factors of anti-seepage type design of the upper reservoir basin of pumped storage power station are summarized. Then, according to this project, three different anti-seepage design schemes for reinforced concrete panels, asphalt concrete panels, and a comprehensive anti-seepage scheme are put forward. The three schemes are comprehensively evaluated based on the analysis of the structural technical characteristics and the investment of anti-seepage technology. As a result, the solution combining a reinforced concrete panel on the bank with a geomembrane at the bottom of the reservoir is ultimately recommended as the most effective option. Finally, this paper gives the proposed results and puts forward the follow-up research and optimization direction suggestions to provide a reference for designing the upper reservoir basin anti-seepage type of pumped storage power station.
Research on the efficiency of phase change thermal storage solar collectors based on MATLABZhang, Yang; Zhu, Chuanhui; Xu, Zhendong; Wang, Xifang; Zong, Yuqian; Ye, Jingrong
doi: 10.1088/1742-6596/3018/1/012012pmid: N/A
Thermal storage solar air collectors are to increase the heat storage(HS) function based on solar air collector, which can store part of the heat when the solar radiation is relatively strong, and release the heat at night or Where direct solar radiation is lacking. The article adopts the theoretical analysis method to examine the heat collection mechanism of phase change thermal storage solar collectors(PCSSC). The study utilized MATLAB software to perform numerical simulations and analyses aimed at improving the collector efficiency of air-type PCSSC, with three types of materials serving as PCM, namely, calcium oxide, aluminum and sodium dodecyl sulfate, and the results showed that calcium oxide had the most obvious improvement on the efficiency of the solar collector. In addition, the effects of solar irradiance and ambient humidity on the collector efficiency were also analyzed. Solar irradiance and collector efficiency are generally positively proportional to each other, while there is no inevitable functional connection between collector efficiency and ambient humidity, but based on the assumptions and calculations of various parameters of the collector, the results of the collector efficiency are generally inversely proportional to the ambient humidity were obtained.
Life cycle carbon footprint analysis of new energy vehicles: a comparative study of different technical routesJiao, Yufan; Liu, Dandan; Lv, Li; Chen, Chuan; Lu, Haixia; Tian, Haoyu
doi: 10.1088/1742-6596/3018/1/012005pmid: N/A
The development of new energy vehicles is one of the important ways to ensure energy security and reduce carbon emissions in the field of transportation. The carbon footprint of a product is a key index to measure the carbon emission of a product throughout its life cycle, which can be used to evaluate the emission reduction capacity and carbon reduction potential of different links of a product. Based on the theory of life cycle carbon footprint calculation, this paper selected three typical new energy technology routes of passenger vehicles and commercial vehicles, including BEV, PHEV and FCEV, respectively, calculated the product carbon footprint of typical new energy vehicles, and compared it with that of gasoline and diesel vehicles. It is found that among the three technical routes, the carbon footprint of BEV models has obvious advantages. Compared with the traditional energy vehicles of the same type, the carbon footprint of a BEV passenger car, light-duty truck and heavy-duty truck can be reduced by 40%, 48% and 20%, respectively. The carbon emission ratio of new energy passenger and commercial vehicles in vehicle and fuel cycles is about 1:1 and 2:8, respectively. The emission reduction emphases of passenger vehicles and commercial vehicles are revealed in different links, and the reference is provided for the carbon management policy formulation of the automobile industry.
Numerical investigation of tangential injection angle effects on thermal separation performance in vortex tubesZhao, Jinhui; Li, Wanlong; Wang, Xu
doi: 10.1088/1742-6596/3018/1/012017pmid: N/A
This study investigates a counter-flow vortex tube using air as the working fluid. A numerical model was established to systematically examine the influence of tangential injection angle in the vortex chamber nozzle on thermal separation performance. The results demonstrate that significant temperature separation occurs within the tangential injection angle range of 0° - 50°. The energy separation efficiency exhibits a non-monotonic trend with increasing injection angle, initially rising and then declining, reaching its peak at a 30° tangential angle where the cold flow ratio attains its minimum value. Rational adjustment of the tangential injection angle enables effective regulation of cold-end temperature, thereby optimizing the energy separation performance of the vortex tube. These findings provide a crucial theoretical foundation for structural design and performance optimization of vortex tubes.