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Optimizing urban block morphologies for net-zero energy cities:Exploring photovoltaic potential and urban design prototype

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Building Simulation 2024年第4期17卷 607-624页

作者： Xiaotian Geng Dong Xie Zhonghua Gou School of Urban design Wuhan UniversityWuhanChina

The morphology of urban areas plays a crucial role in determining solar potential,which directly affects photovoltaic capacity and the achievement of net-zero *** study focuses on the City of melbourne to investigate the utilization of solar energy across different urban densities and proposes optimized *** analysis encompasses blocks with diverse population densities,examining medium and high-density *** utilizing a multi-objective genetic optimization approach,the urban morphology of these blocks is *** findings indicate that low-density blocks exhibit photovoltaic potential ranging from 1 to 6.6 times their total energy *** and high-density blocks achieve photovoltaic potential levels approximately equivalent to 40%-85%of their overall energy ***,significant variations in photovoltaic potential are observed among different urban forms within medium and high-density ***“elevated corners with central valley”prototype is proposed as an effective approach,enhancing the overall photovoltaic potential by approximately 14%.This study introduces novel analytical concepts,shedding light on the intricate relationship between urban morphologies and photovoltaic potential.

关键词： net-zero energy solar energy urban density urban morphology multi-objective optimization photovoltaic potential

Numerical simulation study on the hygrothermal performance of building exterior walls under dynamic wind-driven rain condition

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Building Simulation 2024年第2期17卷 207-221页

作者： Xing Hu Huibo Zhang Hui Yu School of design Shanghai Jiao Tong UniversityShanghai200240China

Wind-driven rain(WDR)has a significant influence on the hygrothermal performance,durability,and energy consumption of building *** calculation of WDR loads using semi-empirical models has been incorporated into the boundary conditions of coupled heat and moisture transfer ***,prior research often relied on fixed WDR absorption ratio,which fail to accurately capture the water absorption characteristics of porous building materials under rainfall ***,this study aims to investigate the coupled heat and moisture transfer of exterior walls under dynamic WDR boundary conditions,utilizing an empirically obtained WDR absorption ratio model based on field *** developed coupled heat and moisture transfer model is validated against the HAmSTAD *** findings reveal that the total WDR flux calculated with the dynamic WDR boundary is lower than that obtained with the fixed WDR boundary,with greater disparities observed in orientations experiencing higher WDR *** variations in moisture flow significantly impact the surface temperature and relative humidity of the walls,influencing the calculation of cooling and heating loads by different *** to the transient heat transfer model,the coupled heat and moisture transfer model incorporating dynamic WDR boundary exhibits maximum increases of 17.6%and 16.2%in cooling and heating loads,*** dynamic WDR boundary conditions provide more precise numerical values for surface moisture flux,offering valuable insights for the thermal design of building enclosures and load calculations for HVAC systems.

关键词： wind-driven rain building component hygrothermal model transient simulation cooling and heating loads

Unraveling the catalytic redox mechanism of lithium–sulfur batteries through advanced in-situ/operando characterizations

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Science China Chemistry 2024年

作者： Pan Zeng Cheng Yuan Bin Su Genlin Liu Jiechang Gao Kun Yang Qingyuan Wang Liang Zhang Institute for Advanced study School of Mechanical Engineering Chengdu University Institute of Functional Nano & Soft materials (FUNSOm) Soochow University Dyson School of design Engineering Imperial College London

Accelerating the redox conversion of lithium polysulfides(LiPSs) with electrocatalysts has been regarded as an effective avenue to surmount the shuttle effect and realize high-performance lithium–sulfur(Li–S) batteries. However, the complicated reaction process, especially the real-time evolution of sulfur-containing species and electrocatalysts under working conditions, has brought great difficulties in the explicit understanding of reaction mechanism of Li–S batteries, thereby severely hampering the design of highly efficient electrocatalysts. Therefore, a crucial prerequisite for correctly identifying the reaction mechanism is an in-depth analysis of the dynamic evolution of reaction intermediates and their structure-performance relationships. In this review,we comprehensively summarized the most recent progress in the dynamic behaviors of LiPSs and electrocatalysts of Li–S batteries under working conditions in conjunction with closely related in-situ/operando characterizations to recognize the realtime evolution of phase, composition, and atomic/electronic structure, thereby unraveling the corresponding catalytic mechanism. In addition, the major challenges and unexplored issues of catalytic conversion of LiPSs were summarized and discussed, aiming to provide perspectives into the development of highly efficient electrocatalysts in Li–S chemistry. Based on this review, we believe that reasonable regulation of reconstruction behaviors can achieve satisfactory electrocatalysts with high catalytic activity, accelerating the development of green energy.

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Application-driven development of a thermal imaging-based cabin occupant thermal sensation assessment model and its validation

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Building Simulation 2024年第8期17卷 1401-1417页

作者： Junmeng Lyu Yuxin Yang Yongxiang Shi Zhiwei Lian Department of Architecture School of DesignShanghai Jiao Tong UniversityShanghaiChina

The air conditioning(A/C)of cabins allows for customized control,but manual adjustments may distract drivers,as well as result in energy *** existing thermal sensation models require complex inputs,which are challenging to gather whilst *** address this issue,this study developed a non-contact thermal sensation model for cabin occupants based on thermal imaging *** collect actual data used for modeling,an outdoor subject experiment was *** this study,initial training was conducted to compare the performance of six algorithms in building the model,with random forests algorithm showing the best ***,this study employed the recursive feature elimination(RFE)method with cross-validation algorithm for identifying the key *** the end,the model was retrained using the selected *** model that incorporated both environmental parameters and facial-temperature features demonstrated the best performance,with an R2 of 0.659 on the test *** the hard-to-measure windshield surface temperature resulted in a slight reduction in accuracy,yielding an R2 of *** verify the generalizability of the model,this study further conducted independent validation *** selected model,which exhibited a mean absolute error(mAE)of less than 0.4 in thermal sensation units,was proven to be highly *** results can offer new solutions for automatic control of cabin A/C.

关键词： model assessment thermal imaging vehicle air conditioner thermal sensation transient cabin indoor environment

Identifying Brand Consistency by Product Differentiation Using CNN

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Computer modeling in Engineering & Sciences 2024年第7期140卷 685-709页

作者： Hung-Hsiang Wang Chih-Ping Chen Department of Industrial design National Taipei University of TechnologyTaipeiTaiwan Department of Product design Ming Chuan UniversityTaoyuanTaiwan

This paper presents a new method of using a convolutional neural network(CNN)in machine learning to identify brand consistency by product appearance *** Experiment 1,we collected fifty mouse devices from the past thirty-five years from a renowned company to build a dataset consisting of product pictures with pre-defined design features of their appearance and *** show that it is a challenge to distinguish periods for the subtle evolution of themouse devices with such traditionalmethods as time series analysis and principal component analysis(PCA).In Experiment 2,we applied deep learning to predict the extent to which the product appearance variation ofmouse devices of various *** investigation collected 6,042 images ofmouse devices and divided theminto the Early Stage and the Late *** show the highest accuracy of 81.4%with the CNNmodel,and the evaluation score of brand style consistency is 0.36,implying that the brand consistency score converted by the CNN accuracy rate is not always perfect in the real *** relationship between product appearance variation,brand style consistency,and evaluation score is beneficial for predicting new product styles and future product style *** addition,the CNN heat maps highlight the critical areas of design features of different styles,providing alternative clues related to the blurred *** study provides insights into practical problems for designers,manufacturers,and marketers in product *** not only contributes to the scientific understanding of design development,but also provides industry professionals with practical tools and methods to improve the design process and maintain brand *** can use these techniques to find features that influence brand ***,capture these features as innovative design elements and maintain core brand values.

关键词： machine learning product differentiation brand consistency principal component analysis convolutional neural network computer mouse

An explainable AI model for power plant NOx emission control

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Energy and AI 2024年第1期15卷 171-180页

作者： Yuanye Zhou Ioanna Aslanidou mikael Karlsson Konstantinos Kyprianidis School of Business Society and EngineeringMälardalens UniversityUniversitetsplan 172220VästeråsSweden Future Energy Centre Mälardalens UniversityUniversitetsplan 172220VästeråsSweden School of Innovation Design and EngineeringMälardalens UniversityUniversitetsplan 172220VästeråsSweden

In recent years,developing Artificial Intelligence(AI)models for complex system has become a popular research *** have been several successful AI models for predicting the Selective Non-Catalytic Reduction(SNCR)system in power plants and large ***,all these models are in essence black box models and lack of explainability,which are not able to give new *** this study,a novel explainable AI(XAI)model that combines the polynomial kernel method with Sparse Identification of Nonlinear Dynamics(SINDy)model is proposed to find the governing equation of SNCR system based on 5-year operation data from a power *** proposed model identifies the system’s governing equation in a simple polynomial format with polynomial order of 1 and only 1 independent variable among original 68 input *** addition,the explainable AI model achieves a considerable accuracy with less than 21%deviation from base-line models of partial least squares model and artificial neural network model.

关键词： Explainable AI SINDy Kernel SNCR Power plant Boiler

Impact of COVID-19 on the energy consumption of commercial buildings:A case study in Singapore

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Energy and Built Environment 2024年第3期5卷 364-373页

作者： Senhong Cai Zhonghua Gou School of Urban design Wuhan UniversityWuhanChina

Numerous studies have demonstrated that commercial activities have significantly reduced during COVID-19,while there are few studies disclosing the consequent impacts on the energy consumption of commercial *** study explores the changes in energy consumption of different types of commercial buildings in Sin-gapore under the impact of the pandemic,using commercial building energy performance data from 2017 to 2020(n=540).The sampled buildings include 93 hotel buildings,303 office buildings,106 retail buildings,and 38 mixed *** analysis mainly used linear regression and paired sample *** results showed that relative to 2019,the mean energy use intensity(EUI)of sampled commercial buildings decreased by 56.77 kWh/m^(2)in the pandemic year(2020),a plunge of 19.9%.The extent to which the EUI of each type of commercial building is affected by the pandemic is found as:mixed development>retail>office>*** study also identi-fied the factors that significantly influenced the EUI of commercial buildings before and during the *** results of the study complement existing knowledge about the factors influencing energy consumption in com-mercial buildings by considering the impact of the pandemic and furthermore contribute to the improvement of energy management in commercial buildings by providing directions for building energy efficiency approaches.

关键词： Commercial buildings Energy consumption Energy use intensity Impact of COVID-19 Influential factors

Theoretical and Experimental study on the Performance of Hermetic Diaphragm Squeeze Film Dampers for Gas-Lubricated Bearings

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Chinese Journal of mechanical Engineering 2024年第3期37卷 151-169页

作者： Jianwei Wang Haoxi Zhang Shaocun Han Hang Li Peng Wang Kai Feng State Key Laboratory of Advanced design and manufacturing for Vehicle Body Hunan UniversityChangsha 410082China

Low damping characteristics have always been a key sticking points in the development of gas *** application of squeeze film dampers can significantly improve the damping performance of gas lubricated *** paper proposed a novel hermetic diaphragm squeeze film damper(HDSFD)for oil-free turbomachinery supported by gas lubricated *** types of HDSFDs with symmetrical structure were proposed for good damping *** considering the compressibility of the damper fluid,based on hydraulic fluid mechanics theory,a dynamic model of HDSFDs under medium is proposed,which successfully reflects the frequency dependence of force *** on the dynamic model,the effects of damper fluid viscosity,bulk modulus of damper fluid,thickness of damper fluid film and plunger thickness on the dynamic stiffness and damping of HDSFDs were *** experimental test rig was assembled and series of experimental studies on HDSFDs were *** damper fluid transverse flow is added to the existing HDSFD concept,which aims to make the dynamic force coefficients independent of *** the force coefficient is still frequency dependent,the damping coefficient at high frequency excitation with damper fluid supply twice as that without damper fluid *** results serve as a benchmark for the calibration of analytical tools under development.

关键词： Hermetic diaphragm squeeze film damper Compressibility Dynamic model Experimental studies

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study of interfacial transition zones between magnesium phosphate cement and Portland cement concrete pavement

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 523-537页

作者： Fei Liu Baofeng Pan Changjun Zhou Ge Li Xiaocun Wang Jiaquan Li Faculty of Infrastructure Engineering Dalian University of TechnologyDalian 116024China Tongren City Transportation Bureau Tongren 554300China Beijing Civil Aviation design and Research Institute of China design Group Beijing 101318China

The Portland cement concrete pavement(PCCP)often suffers from different environmental distresses and vehicle load failure,resulting in slab corner fractures,potholes,and other *** repair has become one of the effective ways to open traffic *** this study,a novel type of rapid repair material,basalt fiber reinforced polymer modified magnesium phosphate cement(BFPmPC),is used to rapidly repair ***,the mechanical properties and characteristics of the repair interfaces which are named interfacial transition zones(ITZs)formed by BFPmPC and cement concrete are focused on as a decisive factor for the performance of the rapid *** changing trend of the elastic moduli was studied by nanoindentation experiments in the ITZs with the deconvolution analysis that the elastic moduli of certain kinds of substances can be *** experimental results show that the elastic modulus of ITZ-1 with a width of about20μm can be regarded as 0.098 times of the aggregate,and 0.51 times of the ordinary Portland cement(OPC)*** BFPmPC-OPC mortar ITZ has roughly the same mechanical properties as the ITZ between aggregate and BFPmPC.A multi-scale representative two-dimensional model was established by random aggregate and a two-dimensional extended finite element method(XFEm)to study the mechanical properties of the repair *** simulation results show that the ITZ formed by the interface of BFPmPC and OPC mortar and basalt aggregate is the most vulnerable to failure,which is consistent with the nano-indentation experimental results.

关键词： Portland cement concrete pavement Interfacial transition zone magnesium phosphate cement Repair interface Nanoindentation mechanical properties and characteristics

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