bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hierarchical machine learning models can identify stimuli of climate change misinformation on social media
Authors: Rojas Cristian , Algra-Maschio Frank , Andrejevic Mark , Coan Travis , Cook John , Li Yuan-Fang 
Published: August 2024

AbstractMisinformation about climate change poses a substantial threat to societal well-being, prompting the urgent need for effective mitigation strategies. However, the rapid proliferation of online misinformation on social media platforms outpaces the ability of fact-checkers to debunk false claims. Automated detection of climate change misinformation offers a promising solution. In this study, we address this gap by developing a two-step hierarchical model. The Augmented Computer Assisted Recognition of Denial and Skepticism (CARDS) model is specifically designed for categorising climate claims on Twitter. Furthermore, we apply the Augmented CARDS model to five million climate-themed tweets over a six-month period in 2022. We find that over half of contrarian climate claims on Twitter involve attacks on climate actors. Spikes in climate contrarianism coincide with one of four stimuli: political events, natural events, contrarian influencers, or convinced influencers. Implications for automated responses to climate misinformation are discussed.
Data‐driven cooperative adaptive cruise control for unknown nonlinear vehicle platoons
Authors: Lan Jianglin 
Published: August 2024

AbstractThis article studies cooperative adaptive cruise control (CACC) for vehicle platoons with consideration of the unknown nonlinear vehicle dynamics that are normally ignored in the literature. A unified data‐driven CACC design is proposed for platoons of pure automated vehicles (AVs) or of mixed AVs and human‐driven vehicles (HVs). The CACC leverages online‐collected sufficient data samples of vehicle accelerations, spacing, and relative velocities. The data‐driven control design is formulated as a semidefinite program that can be solved efficiently using off‐the‐shelf solvers. Efficacy of the proposed CACC are demonstrated on a platoon of pure AVs and mixed platoons with different penetration rates of HVs using a representative aggressive driving profile. Advantage of the proposed design is also shown through a comparison with the classic adaptive cruise control (ACC) method.
Energy optimization dispatch based on two‐stage and multi‐objective comparative analysis for PV and BESS integrated fast charging stations with V2G
Authors: Zhan Shuhe , Zhou Yun , Feng Donghan , Wang Haojing , Fang Chen 
Published: August 2024

AbstractAs an effective way to promote the usage of electric vehicles (EVs) and facilitate the consumption of distributed energy, the optimal energy dispatch of photovoltaic (PV) and battery energy storage systems (BESS) integrated fast charging stations with vehicle‐to‐grid is of considerable value to the efficient use of renewable energy. Based on an examination of the electrical structure and operation modes of PV and BESS integrated fast charging stations, considering the randomness of EVs’ arrival and departure, a rolling optimization strategy is adopted. Combining the energy architecture characteristics of the charging stations, the economic dispatch model is established by scheduling the orderly charging and discharging of EVs and the BESS to minimize the expense of daily operations. In view of the shortcomings of the first‐stage economic dispatch, two further optimization strategies are proposed to level out the power fluctuation of the grid connection point (POC) of the charging station, and the effect of the two‐stage optimization model and the multi‐objective optimization model are studied in comparison. Finally, an intraday real‐time optimization algorithm is designed, and the similarities and differences of the economic index and power fluctuation index are comprehensively analysed by using an actual charging station as a case study.
Analysis of single-crystal 3C-SiC subsurface damage mechanisms based on molecular dynamics indentation speed
Authors: Le Jianbo , Liu Juan , Liu Jian , Jiang Hong , Li Jiao , Yu Dongling 
Published: August 2024

In order to explore the subsurface damage of single crystal 3C-SiC at different indentation speeds, molecular dynamics model of nanoindentation under a diamond indenter is constructed. The impact of varying indentation speeds on the formation of subsurface damage is thoroughly analyzed. Combining the diamond structure identification method and dislocation analysis, three indentation speeds of 50, 250, and 450 m/s are selected. From several perspectives, such as load–displacement curves, volumetric strain, atomic bond breaking, and dislocation evolution processes, the effect of different indentation speeds on the subsurface damage of single-crystal 3C-SiC is deeply investigated. When the indentation speed is 50 m/s, as the depth of the indentation increases, workpieces are more susceptible to elastic–plastic deformation under the action of external forces, and volumetric strain is significantly increased. At the indentation speed of 50 m/s, with a higher dislocation density, the atoms rearrange around the dislocation and more dislocation loops are formed. The atoms are also more closely arranged, and the local structure is more distorted. This leads to a high peak of C–Si in the radial distribution function, which reflects the irregularity of local atomic arrangement and the concentration of distribution. At the 50 m/s indentation speed, the elastic–plastic deformation of the workpiece leads to grain boundary stress concentration and damage. Grain evolution occurs with fractures and dislocations. The squeezing between atoms is strong, atomic bonds are broken and connected frequently, and subsurface damage is significant.
The Velocity Aberration Effect of the CSST Main Survey Camera*
Authors: Feng Hui-Mei , Cao Zi-Huang , Lam Man I. , Li Ran , Tian Hao , Zhang Xin , Wei Peng , Li Xin-Feng , Wang Wei , Jones Hugh R. A. , Liu Mao-Yuan , Liu Chao 
Published: August 2024

Abstract
In this study, we conducted simulations to find the geometric aberrations expected for images taken by the Main Survey Camera of the Chinese Space Station Telescope (CSST) due to its motion. As anticipated by previous work, our findings indicate that the geometric distortion of light impacts the focal plane's apparent scale, with a more pronounced influence as the size of the focal plane increases. Our models suggest that the effect consistently influences the pixel scale in both the vertical and parallel directions. The apparent scale variation follows a sinusoidal distribution throughout one orbital period. Simulations reveal that the effect is particularly pronounced in the center of the Galaxy and gradually diminishes along the direction of ecliptic latitude. At low ecliptic latitudes, the total aberration leads to about a 0.94 pixel offset (a 20 minute exposure) and a 0.26 pixel offset (a 300 s exposure) at the edge of the field of view. Appropriate processings for the geometric effect during the CSST pre- and post-observation phases are presented.
Research on security protection strategies for household distributed photovoltaic clusters
Authors: Meng Xu , Baofeng Li , Yu Qin , Bin Xu 
Published: August 2024

Abstract
As of the end of March 2023, the cumulative grid-connected capacity of distributed photovoltaics in China was 176.32 GW. In the first quarter of 2023, the new added capacity of it amounted to 18.13 GW. Among them, the addition of grid-connected household-scale photovoltaic capacity was 8.92 GW. The installed capacity and grid-connected capacity continue to maintain a rapid growth trend, with characteristics such as small capacity, large quantity, large load fluctuation, multiple grid-connected points, and difficulty in adjustment. Access to distributed devices on the massive user side cannot be achieved through traditional authentication methods due to their limited resources. Besides, when conducting group dispatching and control for distributed photovoltaic clusters, it is necessary to encrypt and protect the parameters and control command data of group equipment. In response to the above issues, this article studies and proposes a security protection strategy for household distributed photovoltaic clusters. On resource-limited photovoltaic end devices, lightweight authentication of photovoltaic end devices is achieved through a security communication connector embedded with a security module in a software-hardware integrated mode. Then, a photovoltaic cluster data encryption strategy was designed to achieve encrypted transmission of group data, such as parameters and control instructions between intelligent fusion terminals and photovoltaic end devices.
Thermodynamic performance analysis of a coupled system of solar energy and AA-CAES
Authors: Zheng Zhimei , Chen Guang , Xie Ningning , Cui Sen , Zhong Shengyuan , Mei Shengwei , Zhong Geyu 
Published: August 2024

Abstract
Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) is a new large-scale physical energy storage technology that can not only further solve the problem of peak shaving and pressure regulation but also has the advantages of high efficiency, clean zero emissions, integration with renewable energy, and great development space. The article first establishes a thermodynamic model for the compression, heat exchange, expansion, heat storage, and throttle valve of the AA-CAES system, and uses air, nitrogen, and oxygen as storage media to study the impact of non-ideal gas properties on system efficiency, further improving system accuracy. The simulation results show that the system has good performance, with a designed charging and discharging efficiency of 67.7%. In order to further improve efficiency, this paper designs a solar thermal storage and Advanced Adiabatic Compressed Air Energy Storage coupling system (AA-CAES+CSP) and simulates its thermodynamic performance and variable operating conditions. The final system’s electrical-to-electrical conversion efficiency reaches 78.22%.
Solar tracking cycle charger system based on IPSO-DE
Authors: Chen Sirui 
Published: August 2024

Abstract
Aiming to address the problem of resource waste in the photovoltaic industry chain, a solar tracking cycle charger based on IPSO-DE has been designed. The device converts solar energy into electricity through solar photovoltaic panels and stores it in a storage battery. The light-sensitive sensor controls the orientation of the solar panel through a stepper motor according to the position of the Sun, and the single-chip microcomputer is used to control the cyclic charging and discharging of multiple storage batteries. In addition, the charging-discharging voltages at both ends of the battery and the internal temperature of the device are collected and uploaded to the computer terminal. In order to monitor the working status and working environment of the battery in real-time. Meanwhile, the situation of a single battery working for a long time and over-charging or over-discharging will not happen. This prolongs the life of the battery to a certain extent. The maximum power point tracking system based on the IPSO-DE algorithm, short circuit protection circuit, DC-DC circuit, and other modules are also added to improve the solar energy conversion efficiency and refine the load capacity and the solar energy utilization rate.
Capacity optimization of shared energy storage for renewable energy stations considering frequency regulation constraints
Authors: Yang Chang , Li Xiaozhu , Ma Lei , Di Yanqiang , Chen Laijun 
Published: August 2024

Abstract
A sizing method for minimized cost is proposed to optimize the capacity configuration of centralized shared energy storage in new energy-gathering areas. The energy storage system can respond to the Secondary Frequency Regulation (SFR) of the power grid while assuming Primary Frequency Regulation (PFR) obligations. The study generated output and frequency from historical data and established a mixed integer linear optimization configuration model that conforms to PFR and SFR. The results of simulation analysis show that the proposed method meets the Frequency Regulation (FR) requirements of 95.7%. Compared to the self-allocated energy storage, the cost is reduced by 1.4%. The configuration size meets the energy storage grid connection standard, and it can reduce costs and achieve better economic benefits.
Combustion performance optimization of marine diesel-natural gas dual-fuel engines under low operation loads
Authors: Ding Yu , Farrugia Mario , Peng Yang , Xiang La , Scerri Kenneth 
Published: August 2024

Abstract
With the increasingly stringent IMO emission regulations, the diesel-natural gas dual-fuel engine is gradually applied to ship’s power systems. However, the misfire and unconventional emissions of dual-fuel engines under low operation loads limit its application. In this study, a marine diesel/natural gas dual-fuel engine was used as a prototype to develop a 3D CFD simulation model using CONVERGE, which was then validated by using the experimental data under different operation loads. The validated model was used to study the effect of injection timing, intake temperature, and EGR rate on the combustion and emission characteristics under low operation loads soon afterward. The effects of different operating parameters on engine performance and emissions were determined by observing the formation of combustion intermediates and in-cylinder temperature variation. Results show that under small load conditions, advancing diesel injection timing and increasing intake temperature can reduce the emissions of HC and CO while improving the misfire phenomenon partly, but NOx increases. A larger EGR rate can effectively reduce NOx emissions but cause an increase in unconventional emissions. After optimization, the effective power increased by 5.9%, while the HC and CO emissions decreased by 33.1% and 35.2%, respectively. The misfire phenomenon under low operation loads has been significantly improved, thus providing theoretical support for the de sign and operation of dual-fuel engines.
Effect of refueling parameters on state of charge and temperature rise of hydrogen cylinders undergoing fast-filling
Authors: Li Cang , zhang Juyin , Wang Xueping , Zhang Yixiao , Jin Shufeng 
Published: August 2024

Abstract
High-pressure gaseous hydrogen cylinders have been the mainstream onboard storage technology for hydrogen energy vehicles because they offer the benefits of high energy storage density while maintaining low cost. However, the temperature inside the carbon fiber composite cylinders will rise sharply during the hydrogen charging process because of the throttling effect, which affects the mechanical properties of the composites and leads to an insufficient state of charge (SOC) and other problems. This work presents the establishment of a numerical model that describes the rapid filling progress of 35 MPa hydrogen storage cylinders. Important evaluation criteria of the cylinder, namely the state of charge (SOC) and temperature rise, have been analyzed in relation to the filling rate and other parameters using the computational fluid dynamics (CFD) method and thermodynamic analysis methods. The theoretical analysis results, which are consistent with the outcomes of the CFD simulation and experimental analysis, offer the theoretical foundation for the controlling strategy of the filling rate of the gas source from refueling stations and hydrogen temperature. This consequently lowers the energy demand for hydrogen refueling stations to invest in hydrogen pre-cooling.
Research on the optimal allocation of regionally integrated energy systems including multiple energy storage
Authors: Yang Zhenrui , Dou Zhenlan , Sun Chen , Zhang Chunyan , Jiang Kuan , Cai Bin , Zhou Xin , Zhang Baihan 
Published: August 2024

Abstract
The current rapid development of renewable energies, represented by wind energy, poses an enormous challenge for the planning and configuration of integrated energy systems. In this article, a method for optimal allocation of integrated district energy system considering multiple energy storage is proposed, an optimization model of the configuration of the integrated energy system is established to minimize the cost of the integrated system, and the model is solved by using the HJ-PSO optimization algorithm to obtain the optimal energy configuration of the system. The results show that integrated energy systems with multiple energy storage equipment can effectively meet energy demand and the total economic cost of the system can be reduced by 10.4% compared with integrated power systems without energy storage devices, thus achieving better economic and environmental benefits.
Matching maximum power point of gaas solar cells for a photo-rechargeable system with >26% overall efficiency
Authors: Li Shuning , Gao Kun , Qu Ao , Zhu Wei , Zhang Zhipan 
Published: August 2024

Abstract
The rapid development of the Internet of Things and portable/wearable electronic devices has posed increasing demands for handy and efficient off-grid powers. Solar self-powered systems are one of the emerging options, yet their performance is generally not satisfactory. Herein, a rationally designed photo-rechargeable system is constructed by combining highly efficient GaAs solar cells with an array of aqueous Zn-I2 microbatteries (MBs). Through judiciously matching the charging platform of MBs with the maximum power point (MPP) of GaAs solar cells via circuit designs, an unprecedented overall conversion efficiency (η
overall) of 26.32% has been achieved. As a proof of concept, the photo-rechargeable system discharges for 1389 seconds in darkness after 1-minute charging under AM 1.5 G, underscoring its potential for the energy supply of future smart devices.
Research on multi-time scale cooperative optimal scheduling of source, load, and storage in microgrid with flexible resources
Authors: Zhu Cong , Wen Maolin , Lei Yuliang , Xu Gang , Yu Minqi , Lu Xinyao 
Published: August 2024

Abstract
The large-scale integration of wind power and photovoltaics (PV) has increased the uncertainty in power system operation, posing challenges to energy balance. To enhance the flexibility and renewable energy integration capability of the new power system, a multi-timescale coordinated optimization method for microgrid generation-load-storage considering flexibility resource regulation potential is proposed. Based on the regulation potential of demand-side flexibility resources, their multi-timescale characteristics are utilized for operation and regulation. Simulation results confirm that the model can enhance the integration capability of renewable energy, smooth the load curve, and reduce system operating costs.
Collaborative optimization and scheduling of source, load and storage of distribution networks considering distributed energy and load uncertainty
Authors: Zhang Shuo , Chen Shuhao , Lin Fei , Zhao Xin , Li Ganlin 
Published: August 2024

Abstract
Because distributed energy is affected by natural environmental influences, its power output has certain uncertainties, and it is challenging to achieve effective scheduling after it is incorporated into the distribution network. Based on this, a collaborative optimization scheduling strategy for the distribution network source storage load and distribution network is proposed. The scheduling strategy fully considers the randomness of the output of the distributed power supply and the uncertainty of the load demand, builds a target model to minimize the operating cost of the distribution network, uses the slime mold optimization algorithm to solve it, and finally verifies it based on actual cases. The results show that the predicted values of distributed power supplies and energy storage devices can be obtained, proving the accuracy of the proposed model and the proposed algorithm, and providing reference value for the collaborative optimization of actual source-load storage.
Optimization of multi-element energy storage layout and zoning in oilfield power grid under high ratio distributed power source access
Authors: Sun Yun , Li Hualong , Jiang Yafeng , Tan Bin 
Published: August 2024

Abstract
Distributed power generation is a small-scale power generation system, which is distributed in an oil field power grid. In order to improve the poor effect of weak voltage nodes, a new partition optimization method of multi-energy storage layout in the oilfield power grid is proposed by introducing a high proportion of distributed power supply access. The investment and construction cost, the cumulative life cycle discharge loss cost, the operating income and the market income of electric energy are mined, and the model is constructed based on the mining results. The output results are input into the economic benefit maximization function to obtain the constraint conditions of the basic optimization objective function. Based on the constraints, the objective function of multi-energy storage system optimization is constructed, and the function is solved by a differential evolution algorithm to realize the partition optimization of multi-energy storage layout in an oil field power grid. Through experiments, it can be seen that the operation performance of the oil field power grid has been significantly improved through partition optimization of multi-energy storage layout under the condition of a high proportion of distributed power supply access. The experimental results show that the voltage fluctuation of the distributed power supply is small and that the self-absorption rate of photovoltaic power is high.
A self-powered, portable disinfection system based on a triboelectric nanogenerator
Authors: Li Ming , Jiang Tianyi , Liu Shuofu , Sun Haoxiu , Zhang Shanguo , Wu Hao , Wu Wenlong , Li Yu , Jiang Hongyuan 
Published: August 2024

Abstract
Infectious diseases caused by bacteria in air and drinking water have resulted in a huge threat to human health. Here, a self-powered, portable disinfection system based on a triboelectric nanogenerator (TENG) is proposed for air and drinking water. In the system, a UV lamp can be directly powered by TENG due to the high voltage of up to 2500 V and then emits UV rays to break the DNA nucleic acid chains. The output of TENG and the effects of designed parameters on the irradiance are studied systematically. Finally, the disinfection performance for air and drinking water is studied through the system prototype experiments and the results demonstrate that the time needed for complete disinfection (> 6-log) of air and drinking water is 7 min and 11 min. Overall, the proposed system independent of the power grid reveals an excellent disinfection performance and is a potential technology for alleviating air and drinking water safety issues.
Study on lightning overvoltage of mixed collection line in wind farm
Authors: Huang Yu 
Published: August 2024

Abstract
Lightning strikes are a major problem wind power plants face during thunderstorm season. The frequent lightning trips of the collector line, much equipment damage, and high power loss bring great hidden dangers to the safe operation of the wind farm. Combined with the current situation of a wind farm in the Duolei area, western Sichuan, this paper carried out lightning strike overvoltage simulation analysis on the hybrid collector line based on ATP-EMTP, respectively discussed the characteristics of lightning strike overvoltage of the collector line and the collector line under the lightning strike tower and carried out in-depth analysis on the weak lightning protection of the hybrid collector line. The corresponding protection suggestions for different types of lightning strikes have been put forward.