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Multi-Time Scale Optimization Scheduling of Data Center Considering Workload Shift and Refrigeration Regulation 认领 引用
1
作者 Luyao Liu Xiao Liao +1 位作者 Yiqian Li Shaofeng Zhang 《Energy Engineering》 EI 2026年第2期451-486,共36页
Data center industries have been facing huge energy challenges due to escalating power consumption and associated carbon emissions.In the context of carbon neutrality,the integration of data centers with renewable ene... Data center industries have been facing huge energy challenges due to escalating power consumption and associated carbon emissions.In the context of carbon neutrality,the integration of data centers with renewable energy has become a prevailing trend.To advance the renewable energy integration in data centers,it is imperative to thoroughly explore the data centers’operational flexibility.Computing workloads and refrigeration systems are recognized as two promising flexible resources for power regulationwithin data centermicro-grids.This paper identifies and categorizes delay-tolerant computing workloads into three types(long-running non-interruptible,long-running interruptible,and short-running)and develops mathematical time-shifting models for each.Additionally,this paper examines the thermal dynamics of the computer room and derives a time-varying temperature model coupled to refrigeration power.Building on these models,this paper proposes a two-stage,multi-time scale optimization scheduling framework that jointly coordinates computing workloads time-shift in day-ahead scheduling and refrigeration power control in intra-day dispatch to mitigate renewable variability.A case study demonstrates that the framework effectively enhances the renewable-energy utilization,improves the operational economy of the data center microgrid,and mitigates the impact of renewable power uncertainty.The results highlight the potential of coordinated computing workloads and thermal system flexibility to support greener,more cost-effective data center operation. 展开更多
关键词 Data center renewable energy load shift multi-time scale optimization
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Low-carbon generation expansion planning considering uncertainty of renewable energy at multi-time scales 认领 引用 被引量：17
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作者 Yuanze Mi Chunyang Liu +2 位作者 Jinye Yang Hengxu Zhang Qiuwei Wu 《Global Energy Interconnection》 EI CSCD 2021年第3期261-272,共12页
With the development of carbon electricity,achieving a low-carbon economy has become a prevailing and inevitable trend.Improving low-carbon expansion generation planning is critical for carbon emission mitigation and ... With the development of carbon electricity,achieving a low-carbon economy has become a prevailing and inevitable trend.Improving low-carbon expansion generation planning is critical for carbon emission mitigation and a lowcarbon economy.In this paper,a two-layer low-carbon expansion generation planning approach considering the uncertainty of renewable energy at multiple time scales is proposed.First,renewable energy sequences considering the uncertainty in multiple time scales are generated based on the Copula function and the probability distribution of renewable energy.Second,a two-layer generation planning model considering carbon trading and carbon capture technology is established.Specifically,the upper layer model optimizes the investment decision considering the uncertainty at a monthly scale,and the lower layer one optimizes the scheduling considering the peak shaving at an hourly scale and the flexibility at a 15-minute scale.Finally,the results of different influence factors on low-carbon generation expansion planning are compared in a provincial power grid,which demonstrate the effectiveness of the proposed model. 展开更多
关键词 Renewable energy Multi-time scales Uncertainty Low-carbon Generation planning
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Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation 认领 引用 被引量：4
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作者 Peng Zhao Yongxin Zhang +2 位作者 Qiaozhi Hua Haipeng Li Zheng Wen 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第2期957-979,共23页
Bio-inspired computer modelling brings solutions fromthe living phenomena or biological systems to engineering domains.To overcome the obstruction problem of large-scale wind power consumption in Northwest China,this ... Bio-inspired computer modelling brings solutions fromthe living phenomena or biological systems to engineering domains.To overcome the obstruction problem of large-scale wind power consumption in Northwest China,this paper constructs a bio-inspired computer model.It is an optimal wind power consumption dispatching model of multi-time scale demand response that takes into account the involved high-energy load.First,the principle of wind power obstruction with the involvement of a high-energy load is examined in this work.In this step,highenergy load model with different regulation characteristics is established.Then,considering the multi-time scale characteristics of high-energy load and other demand-side resources response speed,a multi-time scale model of coordination optimization is built.An improved bio-inspired model incorporating particle swarm optimization is applied to minimize system operation and wind curtailment costs,as well as to find the most optimal energy configurationwithin the system.Lastly,we take an example of regional power grid in Gansu Province for simulation analysis.Results demonstrate that the suggested scheduling strategy can significantly enhance the wind power consumption level and minimize the system’s operational cost. 展开更多
关键词 Biological system multi-time scale wind power consumption demand response bio-inspired computermodelling particle swarm optimization
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Multi-Time Scale Optimal Scheduling of a Photovoltaic Energy Storage Building System Based on Model Predictive Control 认领 引用
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作者 Ximin Cao Xinglong Chen +2 位作者 He Huang Yanchi Zhang Qifan Huang 《Energy Engineering》 EI 2024年第4期1067-1089,共23页
Building emission reduction is an important way to achieve China’s carbon peaking and carbon neutrality goals.Aiming at the problem of low carbon economic operation of a photovoltaic energy storage building system,a ... Building emission reduction is an important way to achieve China’s carbon peaking and carbon neutrality goals.Aiming at the problem of low carbon economic operation of a photovoltaic energy storage building system,a multi-time scale optimal scheduling strategy based on model predictive control(MPC)is proposed under the consideration of load optimization.First,load optimization is achieved by controlling the charging time of electric vehicles as well as adjusting the air conditioning operation temperature,and the photovoltaic energy storage building system model is constructed to propose a day-ahead scheduling strategy with the lowest daily operation cost.Second,considering inter-day to intra-day source-load prediction error,an intraday rolling optimal scheduling strategy based on MPC is proposed that dynamically corrects the day-ahead dispatch results to stabilize system power fluctuations and promote photovoltaic consumption.Finally,taking an office building on a summer work day as an example,the effectiveness of the proposed scheduling strategy is verified.The results of the example show that the strategy reduces the total operating cost of the photovoltaic energy storage building system by 17.11%,improves the carbon emission reduction by 7.99%,and the photovoltaic consumption rate reaches 98.57%,improving the system’s low-carbon and economic performance. 展开更多
关键词 Load optimization model predictive control multi-time scale optimal scheduling photovoltaic consumption photovoltaic energy storage building
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Multi-time scale analysis of precipitation variation in Guyuan, China:1957-2005 认领 引用 被引量：1
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作者 Liu Delin Li Bicheng 《Ecological Economy》 2008年第4期512-518,共7页
Morlet wavelet transformation is used in this paper to analyze the multi time scale characteristics of pre cipitation data series from 1957 to 2005 in Guyuan region.The results showed that(1) the annual precipitation ... Morlet wavelet transformation is used in this paper to analyze the multi time scale characteristics of pre cipitation data series from 1957 to 2005 in Guyuan region.The results showed that(1) the annual precipitation evo lution process had obvious multi time scale variation characteristics of 15 25 years,7 12 years and 3 6 years,and different time scales had different oscillation energy densities;(2) the periods at smaller time scales changed more frequently,which often nested in a biggish quasi periodic oscillations,so the concrete time domain should be ana lyzed if necessary;(3) the precipitation had three main periods(22 year,9 year and 4 year) and the 22 year period was especially outstanding,and the analysis of this main period reveals that the precipitation would be in a relative high water period until about 2012. 展开更多
关键词 Precipitation variation Multi-time scale Wavelet analysis Guyuan region Loess Plateau
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Multi-Time Scale Operation and Simulation Strategy of the Park Based on Model Predictive Control 认领 引用
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作者 Jun Zhao Chaoying Yang +1 位作者 Ran Li Jinge Song 《Energy Engineering》 EI 2024年第3期747-767,共21页
Due to the impact of source-load prediction power errors and uncertainties,the actual operation of the park will have a wide range of fluctuations compared with the expected state,resulting in its inability to achieve... Due to the impact of source-load prediction power errors and uncertainties,the actual operation of the park will have a wide range of fluctuations compared with the expected state,resulting in its inability to achieve the expected economy.This paper constructs an operating simulation model of the park power grid operation considering demand response and proposes a multi-time scale operating simulation method that combines day-ahead optimization and model predictive control(MPC).In the day-ahead stage,an operating simulation plan that comprehensively considers the user’s side comfort and operating costs is proposed with a long-term time scale of 15 min.In order to cope with power fluctuations of photovoltaic,wind turbine and conventional load,MPC is used to track and roll correct the day-ahead operating simulation plan in the intra-day stage to meet the actual operating operation status of the park.Finally,the validity and economy of the operating simulation strategy are verified through the analysis of arithmetic examples. 展开更多
关键词 Demand response model predictive control multiple time scales operating simulation
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Research on multi-time scale doubly-fed wind turbine test system based on FPGA+CPU heterogeneous calculation 认领 引用
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作者 Qing Mu Xing Zhang +3 位作者 Xiaoxin Zhou Xiaowei Fan Yingmei Liu Dongbo Pan 《Global Energy Interconnection》 2019年第1期7-18,共12页
As the proportion of renewable energy increases, the interaction between renewable energy devices and the grid continues to enhance. Therefore, the renewable energy dynamic test in a power system has become more and m... As the proportion of renewable energy increases, the interaction between renewable energy devices and the grid continues to enhance. Therefore, the renewable energy dynamic test in a power system has become more and more important. Traditional dynamic simulation systems and digital-analog hybrid simulation systems are difficult to compromise on the economy, flexibility and accuracy. A multi-time scale test system of doubly fed induction generator based on FPGA+ CPU heterogeneous calculation is proposed in this paper. The proposed test system is based on the ADPSS simulation platform. The power circuit part of the test system is setup up using the EMT(electromagnetic transient simulation) simulation, and the control part uses the actual physical devices. In order to realize the close-loop testing for the physical devices, the power circuit must be simulated in real-time. This paper proposes a multi-time scale simulation algorithm, in which the decoupling component divides the power circuit into a large time scale system and a small time scale system in order to reduce computing effort. This paper also proposes the FPGA+CPU heterogeneous computing architecture for implementing this multitime scale simulation. In FPGA, there is a complete small time-scale EMT engine, which support the flexibly circuit modeling with any topology. Finally, the test system is connected to an DFIG controller based on Labview to verify the feasibility of the test system. 展开更多
关键词 Renewable energy gen erati on Doubly fed in duction generator ADPSS simulati on system Wind turbine test system Multi-time scale FPGA+CPU
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Multi-Timescale Coordinated Optimal Dispatch of Active Distribution Networks Incorporating Thermal Storage Electric Heating Clusters 认领 引用
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作者 Song Zhang Yang Yu +1 位作者 Shuguang Li Xue Li 《Energy Engineering》 EI 2026年第3期459-480,共22页
Thermal storage electric heating(TSEH),as a prevalent variable load resource,offers significant potential for enhancing system flexibility when aggregated into a cluster.To address the uncertainties of renewable energ... Thermal storage electric heating(TSEH),as a prevalent variable load resource,offers significant potential for enhancing system flexibility when aggregated into a cluster.To address the uncertainties of renewable energy and load forecasting in active distribution networks(ADN),this paper proposes a multi-timescale coordinated optimal dispatch strategy that incorporates TSEH clusters.It utilizes the thermal storage characteristics and short-term regulation capabilities of TSEH,along with the rapid and gradual response characteristics of resources in active distribution grids,to develop a coordinated optimization dispatch mechanism for day-ahead,intraday,and real-time stages.It provides a coordinated optimized dispatch technique across several timescales for active distribution grids,taking into account the integration of TSEH clusters.The proposed method is validated on a modified IEEE 33-node system.Simulation results demonstrate that the participation of TSEH in collaborative optimization significantly reduces the total system operating cost by 8.71%compared to the scenario without TSEH.This cost reduction is attributed to a 10.84%decrease in interaction costs with the main grid and a 47.41%reduction in network loss costs,validating effective peak shaving and valley filling.The multi-timescale framework further enhances economic efficiency,with overall operating costs progressively decreasing by 3.91%(intraday)and 4.59%(real-time),and interaction costs further reduced by 5.34%and 9.25%,respectively.Moreover,the approach enhances system stability by effectively suppressing node voltage fluctuations and ensuring all voltages remain within safe operating limits during real-time operation.Therefore,the proposed approach achieves rational coordination of diverse resources,significantly improving the economic efficiency and stability of ADNs. 展开更多
关键词 Active distribution network thermal storage electric heating distributed energy resources rolling optimization multiple time scales
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Multi-time scale dynamics in power electronics-dominated power systems 认领 引用 被引量：1
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作者 Xiaoming YUAN Jiabing HU Shijie CHENG 《Frontiers of Mechanical Engineering》 SCIE CSCD 2017年第3期303-311,共9页
Electric power infrastructure has recently undergone a comprehensive transformation from electromagnetics to semiconductors. Such a development is attributed to the rapid growth of power electronic converter applicati... Electric power infrastructure has recently undergone a comprehensive transformation from electromagnetics to semiconductors. Such a development is attributed to the rapid growth of power electronic converter applications in the load side to realize energy conservation and on the supply side for renewable generations and power transmissions using high voltage direct current transmission. This transformation has altered the fundamental mechanism of power system dynamics, which demands the establishment of a new theory for power system control and protection. This paper presents thoughts on a theoretical framework for the coming semiconducting power systems. 展开更多
关键词 power electronics power systems multi-time scale dynamics mass-spring-damping model self-stabilizing and en-stabilizing property multi-time scale power system stabilizer
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A Multi-time Scale Tie-line Energy and Reserve Allocation Model Considering Wind Power Uncertainties for Multi-area Systems 认领 引用 被引量：4
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作者 Jian Xu Siyang Liao +7 位作者 Haiyan Jiang Danning Zhang Yuanzhang Sun Deping Ke Xiong Li Jun Yang Xiaotao Peng Liangzhong Yao 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2021年第4期677-687,共11页
Continued expansion of the power grid and the increasing proportion of wind power centralized integration leads to requirements in sharing both energy and reserves among multiple areas under a hierarchical control str... Continued expansion of the power grid and the increasing proportion of wind power centralized integration leads to requirements in sharing both energy and reserves among multiple areas under a hierarchical control structure,which successively requires a correction between schedule plans within multi-time scale.In order to address this problem,this paper develops an information integration method integrating complicated relationships among fuel cost,total thermal power output,reserve capacity,owned reserves and expectations of load shedding and wind curtailment,into three types of time-related relationship curves・Furthermore,a multi-time scale tieline energy and reserves allocation model is proposed,which contains two levels in the control structure,two time scales in dispatch sequence and multiple areas integrated within wind farms as scheduling objects・The efficiency of the proposed method is tested in a 9-bus test system and IEEE 118-bus system.The results show that a cross-regional control center is able to approach the optimal scheduling results of the whole system with the integrated uploaded relationship curves.The proposed model not only relieves energy and reserve shortages in partial areas but also allocates them to more urgent need areas in a high effectivity manner in both day-ahead and intraday time scales. 展开更多
关键词 Energy and reserve allocation hierarchical control structure multi-area system multi-time scale economic dispatch wind power
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An Explicit Multi-Time Stepping Algorithm for Multi-Time Scale Coupling Problems in SPH 认领 引用
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作者 Xiaojing Tang Dong Wu +2 位作者 Zhentong Wang Oskar Haidn Xiangyu Hu 《Communications in Computational Physics》 SCIE 2024年第10期1219-1261,共43页
Simulating physical problems with multi-time scale coupling presents a considerable challenge due to the concurrent solution of processes with different time scales.This complexity arises from the necessity to evolve ... Simulating physical problems with multi-time scale coupling presents a considerable challenge due to the concurrent solution of processes with different time scales.This complexity arises from the necessity to evolve large time scale processes over long physical time,while simultaneously small time step sizes are required to unveil the underlying physics in shorter time scale processes.To address this inherent conflict in the multi-time scale coupling problems,we propose an explicit multi-time step algorithm within the framework of smoothed particle hydrodynamics(SPH),coupled with a solid dynamic relaxation scheme,to quickly achieve equilibrium state in the comparatively fast solid response process.To assess the accuracy and efficiency of the proposed algorithm,a manuscript torsional example,two distinct scenarios,i.e.,a nonlinear hardening bar stretching and a fluid diffusion coupled with Nafion membrane flexure,are simulated.The obtained results exhibit good agreement with analytical solution,outcomes from other numerical methods and experimental data.With this explicitly multi-time step algorithm,the simulation time is reduced firstly by independently addressing different processes being solved under distinct time step sizes,which stands in contrast to the implicit counterpart,and secondly decreasing the simulation time required to achieve a steady state for the solid by incorporating the dynamic relaxation scheme. 展开更多
关键词 SPH multi-time scale coupling multi-time step algorithm dynamic relaxation multiphysics problem
Atomic-scale ultrafast laser processing of nanocrystal with plasmonic modulation for machine learning combined flexible sensor devices 认领 引用 被引量：1
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作者 Ma Luo Jiaqun Li +6 位作者 Jiawang Xie Haoze Han Jianfeng Yan Yuzhi Zhao Yaoyao Li Huhu Cheng Liangti Qu 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期620-638,共19页
Nanometallic materials have attracted wide research attention in the fabrication of functional devices,including flexible electronics circuits and high-sensitive sensors.Sintering of nanometallic materials is generall... Nanometallic materials have attracted wide research attention in the fabrication of functional devices,including flexible electronics circuits and high-sensitive sensors.Sintering of nanometallic materials is generally thought as an effective technology for the functional manufacturing,and the controllable sintering of nanometallic materials and its major mechanisms have long been a challenge.Here,an ultrafast laser processing strategy for Ag nanoparticles(NPs)is achieved by modulating plasmonic.The excitation mode of plasmon can be designed by laser parameters,including polarization with a specific crystal size.The atomic-scale ultrafast dynamics are revealed for understanding the sintering process and design of the sintered structures.The non-equilibrium energy transfer between electron and lattice and dynamic evolution of pressure are proved to be the foremost driving forces on the motion of atomic structures.Through research of plasmonic-induced electric field enhancement and non-uniform deposition of heat and in-situ observation of relative transmittance,mapping from atomic-scale structure to micro behavior is established.Based on plasmonic modulation and processing of Ag NPs,a machine learning combined flexible gesture sensor with high recognition accuracy is displayed.This work expands the knowledge of interactions between lasers and nanometallic materials and provides a method for designing functional devices for a wide range of applications. 展开更多
关键词 ultrafast laser fabrication plasmonic modulation atomic scale processing flexible devices
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Research on composite scale inhibitors for inhibiting calcium carbonate scaling in high temperature geothermal fluid 认领 引用
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作者 Shuai Li Yongli Ma +1 位作者 Baixu Cao Mingyan Liu 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第4期279-289,共11页
Geothermal energy is a crucial renewable resource for achieving carbon neutrality.However,its exploitation is hampered by scaling,particularly calcium carbonate(CaCO3)deposition in wellbores.To address this,a novel... Geothermal energy is a crucial renewable resource for achieving carbon neutrality.However,its exploitation is hampered by scaling,particularly calcium carbonate(CaCO3)deposition in wellbores.To address this,a novel composite polymer scale inhibitor was synthesized via the copolymerization of five monomers:acrylic acid,hydroxyethyl methacrylate,sodium allyl sulfonate,citric acid,and monosodium glutamate.This molecular design enables the synergistic integration of multiple functional groups(carboxyl,sulfonic,hydroxyl,ester,and amide).Fourier transform infrared spectroscopy confirmed the successful incorporation of these groups,and thermogravimetric analysis demonstrated excellent thermal stability.Evaluation experiments revealed that the copolymer serves as a highly effective scale inhibitor under simulated high-temperature geothermal conditions(150℃—200℃),achieving an inhibition rate exceeding 96%against CaCO3 scaling.This work presents a promising and sustainable solution for scaling control in challenging geothermal environments. 展开更多
关键词 Geothermal energy Calcium carbonate Scaling Prediction Inhibitor
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Stand structural attributes exert stronger and scale-dependent control on forest biomass than tree diversity across typical forest ecosystems in China 认领 引用
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作者 Yonghong Zhang Honglin He +5 位作者 Liang Shi Josep Peñuelas Jordi Sardans Yijing Bai Chenxi Li Jiuying Pei 《Plant Diversity》 SCIE CAS CSCD 2026年第3期598-607,共10页
Understanding how biodiversity-ecosystem functioning(BEF)relationships scale spatially and temporally remains critical under global change.Here,using continuous monitoring databases across temperate,subtropical and tr... Understanding how biodiversity-ecosystem functioning(BEF)relationships scale spatially and temporally remains critical under global change.Here,using continuous monitoring databases across temperate,subtropical and tropical natural forests in China from 2004 to 2020,we quantified multiscale tree diversity-biomass dynamics.Linear mixed-effect and structural equation models were used to further disentangle the direct and indirect pathways through which tree diversity influences forest biomass at different scales.The results revealed significant positive linear relationships between tree species richness and stand biomass at 1200 and 400 m² scales(P0.05).Notably,these demonstrated relationships exhibited consistent temporal stability across all spatial scales throughout the study period.Importantly,the direct effect of tree diversity on biomass intensified with increasing spatial scale,while indirect effects mediated through stand structural attributes(CV_DBH and tree density)became proportionally stronger at finer scales.Further analyses showed that stand structural attributes emerged as the strongest predictor of biomass variation across all scales,surpassing both diversity and climate effects.Furthermore,spatial variation of climate factors(mean annual temperature and mean annual precipitation)mainly affected stand biomass through the indirect effects on tree species diversity and stand structural attributes.Overall,multiscale analyses revealed stand structural attributes dominates biomass prediction,with climate acting indirectly.Scaling biodiversity-structure strategies can enhance forest resilience under global change.Future work should integrate cross-scale mechanisms into climate-smart afforestation for sustainable carbon sequestration. 展开更多
关键词 Forest ecosystem Species richness Stand structure Biomass Spatial scale Succession
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Characteristics and driving factors of population age structure in China:A study based on the scale nesting theory 认领 引用
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作者 YING Kui HA Lin +1 位作者 DUAN Liancheng DING Jinhong 《Journal of Geographical Sciences》 SCIE CSCD 2026年第5期1278-1298,共21页
China's population age structure(PAS)has already entered a modern phase,with the effects of aging and declining birth rates becoming increasingly severe.These trends pose significant challenges to demographic and ... China's population age structure(PAS)has already entered a modern phase,with the effects of aging and declining birth rates becoming increasingly severe.These trends pose significant challenges to demographic and socioeconomic stability.In this study,the scale nesting theory was used to analyze the population census data for 2000-2020 from prefecture-level cities.Using a multiscale geographically weighted regression model,this study explores the spatial characteristics of China's age structure and quantitatively examines the driving factors within this nested framework.The evolution of PAS in the prefecture-level cities in China exhibited distinct stages,while depicting a rapid transition toward an aging model.In the nested space,single-scale nesting was primarily synchronous,while double-scale nesting was characterized by simultaneous synchronization.The Northeast region exhibited the highest degree of synchronous development in the PAS within the nested space.The regression coefficients indicated that the population system and per capita gross domestic product(GDP)were the primary and secondary factors,respectively.Topographical variation exerted an influence on only the synchronous-advance type,while PM2.5exhibited a significant association with the advance-lag type.This study provides scientific support for high-quality development across regions in the context of heterogeneous population age structures. 展开更多
关键词 age structure spatio-temporal characteristics scale nesting driving factors
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Matching molecular scale with active site spacing induces distinct mechanisms in single-atom catalysts for persulfate activation 认领 引用
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作者 Ying Li Zelin Wu +7 位作者 Xiaoyu Liu Bingkun Huang Jing Zhang Yanbiao Shi Chuan-Shu He Zhaokun Xiong Xingxing An Bo Lai 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第4期319-325,共7页
Extensive research has been devoted to single-atom activation of persulfates in recent years.However,mechanistic understanding of the distinct interactions between different persulfates(i.e.,peroxymonosulfate(PMS)and ... Extensive research has been devoted to single-atom activation of persulfates in recent years.However,mechanistic understanding of the distinct interactions between different persulfates(i.e.,peroxymonosulfate(PMS)and peroxydisulfate(PDS))and the coordination environments of single-atom catalysts(SACs)remains critical for advancing their practical applications.Herein,we developed a Fe-N4 SAC exhibiting dual activation capabilities for both PMS and PDS.Intriguingly,experimental results revealed divergent activation mechanisms:PMS activation was predominantly mediated via single-site reactions generating singlet oxygen(1O2),whereas PDS activation proceeded through both dual-site and single-site pathways involving concurrent1O2 generation and electron transfer processes.Density functional theory calculations further demonstrated that the geometric alignment between the inter-site distances of Fe-N4 centers and the molecular dimensions of PDS serves as the key determinant for enabling the electron transfer pathway.This fundamental structure-reactivity correlation suggests that the intrinsic molecular-scale differences between PMS and PDS govern their distinct interaction mechanisms with Fe-N4 SACs.Finally,the scale-up experiments realized nearly complete sulfamethoxazole degradation during 120 h continuous operation without obvious decline in both the Fe-N4/PMS and Fe-N4/PDS systems.This work provides fundamental insights into molecular-scale effects on persulfate activation mechanisms,establishing new design principles for SACs optimization in advanced oxidation processes. 展开更多
关键词 Fenton-like reaction Single-atom catalysts Molecular scale difference effects Dual-site adsorption
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Towards livable communities:Perceptual scale optimized urban human settlement evaluation at community levels 认领 引用
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作者 Yichen Lei Xiuyuan Zhang +3 位作者 Shuping Xiong Ge Tan Haoyu Wang Shihong Du 《Geography and Sustainability》 CSCD 2026年第3期260-275,共16页
Human settlement quality(HSQ)is a critical component of sustainable urban development,directly affecting residents'health,well-being,and quality of life.However,most existing studies rely on expert-defined service... Human settlement quality(HSQ)is a critical component of sustainable urban development,directly affecting residents'health,well-being,and quality of life.However,most existing studies rely on expert-defined service radii and indicator weights at the city scale,overlooking residents'perceptions and failing to capture fine-grained variations at the community level.This study proposes a Perceptual-Scale Optimized Random Forest(PSO-RF)to enable human-centered,community-scale HSQ evaluation by integrating subjective satisfaction data with objective environmental indicators.The framework captures multi-scale perceptual differences in environmental features and determines the optimal measurement scale for each indicator,leading to more accurate HSQ assessments.Five case cities in China and Germany—Beijing,Changsha,Shenzhen,Berlin,and Munich—were selected to reflect diverse regional,socio-economic,and developmental contexts,based on multi-source spatiotemporal data from 2010,2015,and 2020.The findings reveal that:(1)Residents perceive HSQ across two dominant spatial scales:local(860 m)and accessible(2,050 m);(2)Chinese communities emphasize socio-economic conditions within close proximity,while German communities prioritize broader natural environmental factors;(3)The PSORF model reduces evaluation error by 9.6%compared to fixed-radius approaches by identifying indicator-specific perceptual scales;(4)The generated HSQ and shortcoming maps uncover localized human settlement challenges and offer practical guidance for targeted urban planning.This study advances the methodological foundation for perception-driven livability research and provides actionable insights for precision urban governance. 展开更多
关键词 Human settlement Community level Urban sustainability Perceptual scale Interpretable machine learning
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Multi-distance gray-scale level co-occurrence matrix characteristics and particle size prediction model of sandstone 认领 引用
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作者 Rui XU Xiaolong MA +3 位作者 Yiteng WANG Yong WAN Ming BAI Houzhen WEI 《ENGINEERING Structure and Civil Engineering》 SCIE EI CAS CSCD 2026年第2期321-336,共16页
Instant access to the particle size characteristics of sandstone is of great importance to improve the efficiency and safety of deep in situ mining.It is highly challenging to quantify the particle size under non-dest... Instant access to the particle size characteristics of sandstone is of great importance to improve the efficiency and safety of deep in situ mining.It is highly challenging to quantify the particle size under non-destructive conditions.In this research,six distance-dependent texture features were further extracted via the gray-scale level co-occurrence matrix(GLCM)analysis.The gray-scale distribution reveals that the extremely reflective pixels are prevalent in the gray-scale images of the sandstone,accounting for an average of 0.06%of each image.The image preprocessing can effectively enhance the dynamic range,the global contrast,and the most dominant gray-scale values.Depending on the variation pattern with the distance,all six features were divided into scale-sensitive features and scale-invariant features.A prediction model for the median particle size of sandstone based on the texture feature scale was finally developed and validated.The results indicate entropy exhibits the best prediction performance with a maximum relative error of 15.8%.These achievements could provide a theoretical basis and an effective solution for predicting the physical and mechanical properties of the sandstone by texture features. 展开更多
关键词 multi-distance gray-scale level co-occurrence matrix particle size prediction extreme reflection texture feature scale variation pattern
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Measuring Mental Health Promoting Behaviours:Development and Psychometric Properties of a Danish Act Belong Commit-Mental Health Promoting Behaviours(ABC-MHPB)Scale 认领 引用
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作者 Line Nielsen Ziggi Ivan Santini +5 位作者 Malene Kubstrup Nelausen Carsten Hinrichsen Frederik Schou-Juul Vibeke Jenny Koushede Robert J Donovan Charlotte Bjerre Meilstrup 《International Journal of Mental Health Promotion》 2026年第6期1-21,共21页
Background:The Act Belong Commit-ABCs ofMental Health campaign is the world’s first comprehensive,population-wide,community-based initiative to promote mental health.In response to a growing demand for valid tools to... Background:The Act Belong Commit-ABCs ofMental Health campaign is the world’s first comprehensive,population-wide,community-based initiative to promote mental health.In response to a growing demand for valid tools to monitor mental health promoting behaviours,this study presents the development and psychometric evaluation of the ABC-Mental Health Promoting Behaviours(ABC-MHPB)scale in a Danish population-based sample.Methods:A 10-item scale was developed,based on the ABC framework,to assess mental health promoting behaviours.A total of 119,221 randomly selected participants aged 18+filled out an electronic survey,including the scale to measure the underlying construct of mental health promoting behaviours.Analyses pertaining to construct,content,reliability,discriminant,and convergent validity assessments were carried out,and an operationalization was proposed.Results:The initial 10-item version showed inadequate model fit,resulting in the removal of one item.Construct validity testing supported a 9-item three-factor model with satisfactory fit.Full invariance was observed across education(primary/unknown vs.higher),and partial invariance across sex(women vs.men)and age(<25 vs.25+),with content,discriminant,and convergent validity also supported.Based on a practical operationalization of the scale,regression results showed a cross-sectional pattern characteristic of a dose-response association with the outcomes of mental well-being and loneliness.Conclusion:The findings suggest that the 9-item ABC-MHPB scale is an appropriate tool for assessing and monitoring mental health promoting behaviours in the general population and might be relevant as a tool to evaluate interventions aiming to promote mental health.Further validation over time and in diverse populations,along with intervention and longitudinal studies,is needed to confirm its associations with mental health outcomes. 展开更多
关键词 Mental health mental wellbeing mental health promoting behaviours public mental health scale development psychometrics
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Uniform wafer-scale MOCVD homoepitaxy of β-Ga2O3on 2-inch(010)substrates 认领 引用
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作者 Xuanze Zhou Haozhong Wu +7 位作者 Yuanjie Ding Ziyuan Wang Zhiyu Zhou Ning Xia Song Zhang Guangwei Xu Hui Zhang Shibing Long 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第1期576-580,共5页
The(010)orientation ofβ-Ga2O3is a highly promising platform for next-generation lateral power electronics due to its superior theoretical transport properties.However,progress has been impeded by the unavailabi... The(010)orientation ofβ-Ga2O3is a highly promising platform for next-generation lateral power electronics due to its superior theoretical transport properties.However,progress has been impeded by the unavailability of large-area substrates,limiting studies to small-scale samples.Leveraging the recent emergence of 2-inch wafers,we report the first demonstration of homoepitaxial growth on a 2-inch,Fe-doped semi-insulating(010)β-Ga2O3substrate by metal-organic chemical vapor deposition(MOCVD).A systematic,wafer-scale characterization reveals the successful growth of a highquality epitaxial film.High-resolution x-ray diffraction shows an excellent crystalline structure,with a rocking curve full-width ranging from 21.0 arcsec to 103.0 arcsec.Atomic force microscopy confirms an atomically smooth surface with a root-mean-square roughness below 1.53 nm,displaying a distinct step-flow growth mode across the wafer.Furthermore,mercury-probe capacitance-voltage mapping indicates a well-controlled carrier concentration of~2×10~(18)cm~(-3)with a RSD of 5.12%.This work provides the first comprehensive assessment of 2-inch(010)Ga2O3epitaxial wafers,validating a critical material platform for the development and future manufacturing of high-performance power devices. 展开更多
关键词 β-Ga2O3 metal-organic chemical vapor deposition(MOCVD) wafer scale uniformity
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