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si-C Foam Porous-Medium Combustion Power-Generation System for Low-Calorific-Value Biomass Syngas

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Journal of Thermal Science 2025年第1期34卷 206-222页

作者： YANG Jianwen CHEN wei CAO Bingwei LIU Xinhui LI Hang College of Mechanical and Aerospace Engineering Jilin University School of Mechanical and Vehicle Engineering Changchun University

Syngas produced from the gasification of organic feedstocks from biomass is one of the clean and sustainable sources of *** advantages of simple access and renewability of biomass energy can meet the energy needs of temporary power *** study presents a biomass power-generation system for vehicular *** biomass and a free-piston Stirling engine generator（FPSEG） as the primary material and prime mover,respectively,biomass energy is converted into electricity by combusting the syngas to heat the *** and key parameter design for biomass gasification and thermoelectric conversion systems within a power generation system were performed.A porous medium area was constructed using si-C foam ceramics to obtain an energy-conversion experimental *** effects of bed height,porosity,porous-region diameter,and air-intake conditions on the power-generation performance were investigated,and optimisations were performed for the thermoelectric conversion *** rate of increase during FPSEG power generation first increased and then decreased with increasing bed height,peaking at a bed height of 40 *** increasing porous-region diameter accelerated FPSEG power generation,whereas porosity changes in the porous media did not significantly affect the rate of change during FPSEG power *** increasing air intake,the rate of increase during power generation first increased and then *** maximum change rate and the highest thermoelectric conversion efficiency of the power-generation system occurred at 9.5 m3/h and 6.5 m3/h（～45.1%）air intakes,*** the thermal inertia and combustion structure of the thermoelectric conversion system significantly increased the power-generation rate of the system,with 1.8 W/s being observed at a 9.7 m3/h air intake.

关键词： biomass combined heat and power (CHP) gasification porous media combustion power generation

Melting Evaluation of Phase Change Materials Impregnated into Cascaded Metal Foams with Regionalized Enhancement

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Journal of Thermal Science 2025年第1期34卷 223-241页

作者： wei Xinyi ZHANG nan ZHANG Zhaoli CAO Xiaoling YUAN Yanping School of Mechanical Engineering Southwest Jiaotong University

Metal foam promotes the heat transfer of phase change materials(PCMs) in the penalty of reducing the energy storage density of the composite *** this work,the effects of constant porosity(0.96,0.94,0.92,or 0.90) and pore density(PPI) of metal foam on heat transfer of composite PCMs are *** rate could be enhanced by employing with low porosity copper ***,aiming to the right bottom phase changing "dead region",a regionalized enhancement strategy of cascaded metal foams is *** dynamic melting performances of all the composite PCMs are comprehensively *** results reveal that the cascaded configuration is beneficial for *** show that the horizontal strategy enhances melting performance:a maximum of 17.98% reduction in total melting time could be reached when the rear part porosity is 90%.The energy storage density rate could be raised by 5.48%.Besides,the vertical strategy performs with a better average temperature uniformity of 0.441 and brings a lower temperature in the heated *** sum up,the regionalized enhancement of copper foam provides better performance in the phase change *** shows significant potential for solar heat storage and thermal protection.

关键词： copper metal foam heat transfer enhancement phase change materials regionalized enhancement

A Wind Tunnel Experimental Study on the Wake Characteristics of a Horizontal Axis Wind Turbine

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Journal of Thermal Science 2025年第1期34卷 145-158页

作者： GUO Xingduo LI Yinran LI Rennian MA Yulong wei Kui College of Energy and Power Engineering Lanzhou University of Technology Key Laboratory of Fluid Machinery and Systems Gansu Provincial Technology Centre for Wind Turbines

The characteristics of wind turbine wakes are influenced by multiple factors,including the atmospheric boundary layer(ABL) wind and wind turbine operating conditions(e.g.,tip speed ratio and yaw angle).In this study,two types of ABL winds with different velocity gradients and turbulence intensities are generated in a wind tunnel through configurations of spires,baffles,and various numbers of roughness elements.A wind turbine with a rotor diameter of 0.8 m and a hub height of 0.6 m is tested under varying tip speed ratios,yaw angles,and ABL wind *** results indicate that the streamwise velocity deficit in the near-wake region becomes more pronounced with an increase in the tip speed ratio,while the far-wake velocity deficit remains largely unaffected by changes in the tip speed *** the yaw angle increases,the wake deflection becomes more prominent and the wake narrows;the offset of the wake center at various downstream positions grows linearly,reaching a maximum value of approximately half the rotor ***,the turbulence level and influence range in the wake region are reduced when the turbine is *** ABL wind conditions,high turbulence intensity in the incoming flow accelerates wake recovery,and the Reynolds stress at different lateral positions tends to become consistent with increasing longitudinal ***,turbulence has a significant impact on the meandering characteristics of the wind turbine wake,with greater fluctuations in the wake center observed under higher turbulence ***,this study provides insights that could inform the optimal operation of wind farms.

关键词： horizontal axis wind turbine turbulence wind tunnel experiment wind turbine wake

Effect of a Carbon Fibre-steel Fibre-graphite Conductive Filler on the Electrothermal Properties of Cementitious Materials

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 141-151页

作者： FAN Yanan wei Hong ZHENG Hongyong DU Hongxiu Department of Architecture and Environmental Engineering Taiyuan UniversityTaiyuan 030032China College of Civil Engineering Taiyuan University of TechnologyTaiyuan 030032China

Carbon fibre,steel fibre and graphite were used as conductive fillers to prepare cementitious materials with excellent electrothermal *** electrically conductive cementitious materials with different volume dosages were analysed through compressive and flexural strength,electrochemical impedance spectroscopy and temperature rise *** equivalent circuit model was established to study the electrically conductive heat generation mechanism in the electrically conductive cementitious *** results indicate that the mechanical properties of cementitious composite materials with a ternary conductive phase are better than those of pristine cementitious materials because the fibrous filler improves their mechanical ***,the incorporation of graphite in the material reduces its *** fibrous and point-like conductive phase materials into the cementitious material enhances the overall conductive pathway and considerably reduces the electrical resistance of the cementitious material,enhancing its conductive *** volume ratios of carbon fibre,steel fibre and graphite that achieve an optimal complex doping in the cementitious material were 0.35%,0.6%and 6%,*** was determined using the mutation point of each circuit element parameter as the percolation *** addition,at a certain safety voltage,there is a uniform change between the internal and surface temperatures of the conductive cementitious material,and the heating effect in this materialis is considerably better than that in the pristine cementitious material.

关键词： cementitious composites conductive fillers electrothermal properties electrochemical impedance spectroscopy

Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

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Energy Engineering 2025年第1期122卷 243-264页

作者： Liyao Yang HongyanMa Yingda Zhang wei He School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China Institute of Distributed Energy Storage Safety Big Data Beijing100044China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing100044China

Accurately estimating the State of Health(SOH)and Remaining Useful Life(RUL)of lithium-ion batteries(LIBs)is crucial for the continuous and stable operation of battery management ***,due to the complex internal chemical systems of LIBs and the nonlinear degradation of their performance,direct measurement of SOH and RUL is *** address these issues,the Twin Support Vector Machine(TWSVM)method is proposed to predict SOH and ***,the constant current charging time of the lithium battery is extracted as a health indicator(HI),decomposed using Variational Modal Decomposition(VMD),and feature correlations are computed using Importance of Random Forest Features(RF)to maximize the extraction of critical factors influencing battery performance ***,to enhance the global search capability of the Convolution Optimization Algorithm(COA),improvements are made using Good Point Set theory and the Differential Evolution *** Improved Convolution Optimization Algorithm(ICOA)is employed to optimize TWSVM parameters for constructing SOH and RUL prediction ***,the proposed models are validated using naSA and CALCE lithium-ion battery *** results demonstrate that the proposed models achieve an RMSE not exceeding 0.007 and an MAPE not exceeding 0.0082 for SOH and RUL prediction,with a relative error in RUL prediction within the range of[-1.8%,2%].Compared to other models,the proposed model not only exhibits superior fitting capability but also demonstrates robust performance.

关键词： State of health remaining useful life variational modal decomposition random forest twin support vector machine convolutional optimization algorithm

基于共表达网络分析发掘调控玉米株高发育的关键ZmGRF基因

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玉米科学 2020年第5期28卷 39-46页

作者：司伟娜王恒生董金磊李玲玲陈金武程备久顾龙江安徽农业大学/作物抗逆育种与减灾国家地方联合工程实验室合肥230036 合肥师范学院生命科学学院合肥230601

生长调控因子(growth-regulating factors,GRF)基因家族是一类植物特有的转录因子。在模式植物水稻、拟南芥中,部分GRF基因被证实是影响株高发育的核心调控因子。利用加权基因共表达网络分析方法(weight⁃ed Gene Co-expression Network ... 详细信息

生长调控因子(growth-regulating factors,GRF)基因家族是一类植物特有的转录因子。在模式植物水稻、拟南芥中,部分GRF基因被证实是影响株高发育的核心调控因子。利用加权基因共表达网络分析方法(weight⁃ed Gene Co-expression Network Analysis,WGCna),初步构建以玉米ZmGRF基因与调控株高发育的功能基因为核心的共表达网络。结果表明,有9个ZmGRF基因与已报道的调控株高发育基因具有显著的共表达关系,并呈现出网络化的共表达模式,推测这9个ZmGRF基因是调控玉米株高发育的潜在候选基因。进一步通过微共线性分析发现,9个ZmGRF候选基因中有8个基因可以形成基因对,并且所有基因对的Ka/Ks值均显著小于1,暗示调控株高发育候选ZmGRF基因功能的保守性。

关键词：玉米共表达网络生长调控因子株高微共线性分析

参与食品可追溯体系对农户绿色生产转型的影响

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西北农林科技大学学报（社会科学版） 2025年第1期25卷 89-100页

作者：陈哲李晓静司伟西北农林科技大学经济管理学院陕西杨凌712100 烟台大学经济管理学院山东烟台264005 中国农业大学经济管理学院北京100083

基于2022年山东和陕西2省6县(市、区)1 248户苹果种植户的微观调查数据,在使用有限混合模型(FMM)测度农户绿色生产转型程度的基础上,实证检验参与食品可追溯体系对农户绿色生产转型的影响。研究结果表明:(1)参与食品可追溯体系会显著促... 详细信息

基于2022年山东和陕西2省6县(市、区)1 248户苹果种植户的微观调查数据,在使用有限混合模型(FMM)测度农户绿色生产转型程度的基础上,实证检验参与食品可追溯体系对农户绿色生产转型的影响。研究结果表明:(1)参与食品可追溯体系会显著促进农户绿色生产转型,这一结论在解决潜在的内生性问题和经过多种稳健性检验后依然成立;(2)异质性分析表明,参与食品可追溯体系对大规模种植户、参与组织和受教育水平更高的农户绿色生产转型的促进作用更为明显;(3)机制分析结果表明,参与食品可追溯体系可以通过产品收益激励、绿色认知提升、社会声誉维护三条路径影响农户绿色生产转型。据此提出加大食品可追溯体系建设,提高农户参与比率;明晰转型关键制约因素,增强农户绿色生产转型意愿;充分考虑不同资源禀赋农户特征,给予针对性的政策引导等对策建议。

关键词：食品可追溯体系绿色生产转型溢价激励随机前沿模型苹果种植户

玉米叶片早衰突变体les1的生理特性及基因初步定位

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玉米科学 2021年第5期29卷 50-56页

作者：司伟娜高梦程振王文龙程亦峰路小铎朱芮江海洋安徽农业大学生命科学学院合肥230036

通过甲基磺酸乙酯诱变得到玉米叶早衰突变体les1(leaf early senescence 1),突变体les1从7叶期开始叶片由下往上失绿黄化,生长后期叶片黄化干枯面积逐渐增大,且突变体les1地下部分生物量及子粒变小、子粒千粒重显著降低。与叶片黄化表... 详细信息

通过甲基磺酸乙酯诱变得到玉米叶早衰突变体les1(leaf early senescence 1),突变体les1从7叶期开始叶片由下往上失绿黄化,生长后期叶片黄化干枯面积逐渐增大,且突变体les1地下部分生物量及子粒变小、子粒千粒重显著降低。与叶片黄化表型一致,研究发现,突变体les1叶片中光合色素含量以及净光合速率显著降低,且突变体les1中活性氧及丙二醛大量积累,可能与叶绿素的降解及叶片早衰相关。遗传分析表明,les1的叶片早衰表型由单基因隐性突变所致,进一步通过混池建库和全基因重测序将les1的突变位点初步定位在2号染色体。

关键词：玉米突变体叶片早衰活性氧基因初步定位

AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation

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Computers, Materials & Continua 2025年第1期82卷 799-816页

作者： Congcong Wang Chen Wang Wenying Zheng wei Gu School of Software Nanjing University of Information Science and TechnologyNanjing210044China School of Information Science and Engineering Zhejiang Sci-Tech UniversityHangzhou310018China State Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China School of Computer Science and Technology(School of Artificial Intelligence) Zhejiang Sci-Tech UniversityHangzhou310018China School of Computer Science(School of Cyber Science and Engineering) Nanjing University of Information Science and TechnologyNanjing210044China

As smart grid technology rapidly advances,the vast amount of user data collected by smart meter presents significant challenges in data security and privacy *** research emphasizes data security and user privacy concerns within smart ***,existing methods struggle with efficiency and security when processing large-scale *** efficient data processing with stringent privacy protection during data aggregation in smart grids remains an urgent *** paper proposes an AI-based multi-type data aggregation method designed to enhance aggregation efficiency and security by standardizing and normalizing various data *** approach optimizes data preprocessing,integrates Long Short-Term Memory(LSTM)networks for handling time-series data,and employs homomorphic encryption to safeguard user *** also explores the application of Boneh Lynn Shacham(BLS)signatures for user *** proposed scheme’s efficiency,security,and privacy protection capabilities are validated through rigorous security proofs and experimental analysis.

关键词： Smart grid data security privacy protection artificial intelligence data aggregation