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International Conference of the SolarPACES

作者： Sun, Feihu Wang, Zhifeng Guo, Minghuan Bai, Fengwu Xu, Zijian Chinese Acad Sci Inst Elect Engn Key Lab Solar Thermal Energy & Photovolta Syst Zhongguancun Haidian Dis 100190 Peoples R China

Accurate dual-axis sun tracking is the key feature of a heliostat and is critical for the performance of a solar tower power plant. The primary tracking errors with respect to the geometrical errors could be theoretically determined from the measurements of the BCS based on optimization algorithm. Tests are performed on two heliostats in DAHAN solar tower plant and analyses are performed to evaluate the comprehensive effect of the six angular geometrical errors on the heliostat tracking accuracy. The test results show that the altitude-azimuth tracking angle formulas for several fixed geometrical errors work well and have a effectiveness for a given period of time. (C) 2013 Zhifeng Wang. Published by Elsevier Ltd.

关键词： BCS tracking angle geometrical errors optimization algorithm

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Traffic Management System With Symbolic Discrete Controller Synthesis Technique

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IEEE ACCESS 2024年 12卷 105393-105402页

作者： Kurucan, Mehmet Ardahan Univ Dept Comp Engn TR-75002 Ardahan Turkiye

In contemporary urban environments, the growing utilization of vehicles has emerged sophisticated challenges. Notably, degradation in air quality and amplified fuel consumption are the most issues that are being faced in urban cities due to traffic-related disruptions. Addressing these challenges is necessary to concern the adverse impacts on public health and economic aspects. This paper presents a comprehensive Traffic Management System employing the Symbolic Discrete Controller Synthesis Technique, offering a paradigm shift in urban traffic control. Our approach synthesizes effective controllers to reduce congestion and enhance system reliability by benefitting formal control frameworks and advanced modeling techniques. The key features of the approach include a symbolic safety algorithm to ensure compliance with regulations, an optimization algorithm to minimize congestion costs. Simulations across various scenarios validate the efficacy and robustness of our framework and also it suggests its potential to significantly improve urban mobility. The research directions may explore scalability and real-time data integration for broader applicability, however, our work lays a foundation for integrated traffic management systems combining formal control techniques, safety algorithms, and optimization strategies.

关键词： Traffic congestion Biological system modeling Traffic control Roads Transportation Symbols Solid modeling Discrete event systems discrete controller synthesis safety algorithm optimization algorithm traffic management systems

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Preliminary Techno-Economic Study of Optimized Floating Offshore Wind Turbine Substructure

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ENERGIES 2024年第18期17卷 4722-4722页

作者： Ojo, Adebayo Collu, Maurizio Coraddu, Andrea Univ Strathclyde Dept Naval Architecture Ocean & Marine Engn Glasgow G4 0LZ Scotland Delft Univ Technol Dept Maritime & Transport Technol NL-2628 CD Delft Netherlands

Floating offshore wind turbines (FOWTs) are still in the pre-commercial stage and, although different concepts of FOWTs are being developed, cost is a main barrier to commercializing the FOWT system. This article aims to use a shape parameterization technique within a multidisciplinary design analysis and optimization framework to alter the shape of the FOWT platform with the objective of reducing cost. This cost reduction is then implemented in 30 MW and 60 MW floating offshore wind farms (FOWFs) designed based on the static pitch angle constraints (5 degrees, 7 degrees and 10 degrees) used within the optimization framework to estimate the reduction in the levelized cost of energy (LCOE) in comparison to a FOWT platform without any shape alteration-OC3 spar platform design. Key findings in this work show that an optimal shape alteration of the platform design that satisfies the design requirements, objectives and constraints set within the optimization framework contributes to significantly reducing the CAPEX cost and the LCOE in the floating wind farms considered. This is due to the reduction in the required platform mass for hydrostatic stability when the static pitch angle is increased. The FOWF designed with a 10 degree static pitch angle constraint provided the lowest LCOE value, while the FOWF designed with a 5 degree static pitch angle constraint provided the largest LCOE value, barring the FOWT designed with the OC3 dimension, which is considered to have no inclination.

关键词： FOWT optimization algorithm shape parameterization CAPEX fixed-bottom

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Multi-optimized reconfiguration of hybrid photovoltaic-thermoelectric generation (PV-TEG) system for performance enhancement

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ENERGY CONVERSION AND MANAGEMENT 2024年 307卷

作者： Wang, Jingbo Li, Yulin Yang, Bo Jiang, Lin Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ England Kunming Univ Sci & Technol Fac Elect Power Engn Kunming 650500 Peoples R China

This study designs a hybrid photovoltaic-thermoelectric generation (PV-TEG) system, aimed at achieving an efficient photo-thermal-electrical energy conversion. However, dynamically varying real-world environmental conditions frequently lead to partial shading conditions (PSCs) and non-uniform thermal distribution (NTD), which adversely affect the system ' s output characteristics, resulting in power loss and compromised operation reliability. To alleviate the mismatch effects caused by PSCs and enhance the output power of hybrid PV-TEG systems while maintaining the electrical connections intact, array reconfiguration is a desirable solution. However, existing research on PV-TEG system reconfiguration only focuses on maximizing power output, neglecting the importance of service life and control complexity of switching devices. To bridge this gap, this study proposes a multi-optimized PV-TEG reconfiguration strategy based on the devised chaos-driven dynamical interactive whale optimization algorithm (CDI-WOA), aiming at simultaneously improving the power output while minimizing unnecessary switching actions to prolong the service life of switching devices. Case studies are carried out using two commonly utilized scales of array configuration in engineering, i.e., 6x6 and 6x10 arrays under ten different PSC patterns for systematic validation. Five evaluation indicators are employed for a more comprehensive performance evaluation than prior work, the results demonstrate that CDI-WOA based reconfiguration can increase the maximum power output by 28.24% and 32.02% for 6x6 and 6x10 arrays compared with that without reconfiguration, respectively.

关键词： Hybrid PV-TEG system Muti-optimized reconfiguration Partial shading conditions Chaos-driven dynamical interactive whale optimization algorithm Performance enhancement

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A new concept reduced scale aeroelastic model of the four-cable suspension bridge with truss girder and its validation

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JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS 2024年 255卷

作者： Lan, Yizhe Yang, Yongxin Zhang, Jinjie Ge, Yaojun Tongji Univ State Key Lab Disaster Reduct Civil Engn Shanghai 200092 Peoples R China Tongji Univ Key Lab Transport Ind Wind Resistant Technol Bridg Shanghai 200092 Peoples R China

The accuracy of the aeroelastic model or truss girders has consistently been a decisive factor influencing the results of full-bridge aeroelastic wind tunnel tests. A novel design approach, termed the Multi-Spine Frame System, is introduced for the reduced-scale model of the stiffening girder. This system incorporates multiple spines, thinner beams and columns to minimize aerodynamic interference while accurately simulating overall stiffness, mass, and constraints. The design procedure is formulated as an optimization problem with the objective of optimizing the low-order natural frequencies (lateral bending, vertical bending, and torsion) of the aeroelastic model. Pattern search method and penalty functions are employed to identify a locally optimal solution that satisfies engineering applications for this optimization problem. This design method is applied to an actual project involving a four-cable suspension bridge with a truss girder, and the test results demonstrate the accuracy of this approach in simulating the dynamic characteristics of the aeroelastic model. Corresponding wind tunnel tests on flutter instability, as well as numerical multi-modal flutter analysis, are conducted to analyze the critical flutter speed, vibration shapes, and frequencies of this bridge. Furthermore, the impact of deviation in structural mode shapes and natural frequencies on flutter instability is investigated using ten design schemes achieved by altering boundary conditions, mass distributions, and stiffness distributions, were examined. Significant differences in critical flutter speed (up to 9%) are observed due to deviations in mode shapes, emphasizing the necessity of considering modal frequencies and other modal information, such as mode shapes, in aeroelastic model design. This approach contributes to the advancement of aeroelastic model design for bridges with truss girders by introducing an effective system and an optimization method, providing a basis for future studie

关键词： Full-bridge aeroelastic model Truss girder Multi-spine frame system optimization algorithm Flutter instability Mode shapes Natural frequencies

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Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection

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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年第3期35卷 4153-4163页

作者： Xiu, Xianchao Pan, Lili Yang, Ying Liu, Wanquan Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China Shandong Univ Technol Dept Math Zibo 255049 Peoples R China Peking Univ Dept Mech & Engn Sci Beijing 100871 Peoples R China Sun Yat Sen Univ Sch Intelligent Syst Engn Guangzhou 510275 Peoples R China

The canonical correlation analysis (CCA) has attracted wide attention in fault detection (FD). To improve the detection performance, we propose a new joint sparse constrained CCA (JSCCCA) model that integrates the l(2,0)-norm joint sparse constraints into classical CCA. The key idea is that JSCCCA can fully exploit the joint sparse structure to determine the number of extracted variables. We then develop an efficient alternating minimization algorithm using the improved iterative hard thresholding and manifold constrained gradient descent method. More importantly, we establish the convergence guarantee with detailed analysis. Finally, we provide extensive numerical studies on the simulated dataset, the benchmark Tennessee Eastman process, and a practical cylinder-piston process. In some cases, the computing time is reduced by 600 times, and the FD rate is increased by 12.62% compared with classical CCA. The results suggest that the proposed approach is efficient and fast.

关键词： l(2,0)-norm joint sparse canonical correlation analysis (CCA) fault detection (FD) optimization algorithm

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Utilizing tuned mass damper for reduction of seismic pounding between two adjacent buildings with different dynamic characteristics

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SOIL DYNAMICS AND EARTHQUAKE ENGINEERING 2025年 188卷

作者： Kamgar, Reza Dadkhah, Masoud Heidarzadeh, Heisam Javanmardi, Mahmoud Seidali Shahrekord Univ Fac Engn Civil Engn Dept Shahrekord Iran Shahid Bahonar Univ Kerman Civil Engn Dept Kerman Iran

Today, population growth and the need for constructing adjacent buildings have raised the likelihood of pounding between adjacent buildings with different dynamic characteristics. The pounding force applied to adjacent buildings during an earthquake is intensive and may cause total or partial damage to structural elements, leading to collapse. It disturbs and complicates the functioning of buildings during and after an earthquake. Therefore, the main aim of this paper is to minimize and, if possible, eliminate the pounding force between two adjacent structures by considering three objective functions. For this aim, the tuned mass damper is utilized here. Also, this paper aims to reduce the number of collisions between different stories of adjacent buildings through a tuned mass damper system. For this purpose, two adjacent steel moment frames with six and ten stories are nonlinearly modeled and validated using the concentrated plasticity model in OpenSees. Moreover, the pounding element is nonlinearly modeled and validated. Then, tuned mass dampers (TMDs) are used on the roofs of the structures. They are optimized in stiffness, mass, and damping coefficient using the grey wolf optimization (GWO) algorithm. Nonlinear time history analysis (NLTHA) is performed under nine far- and near- field earthquakes. The pounding force and structural responses are analyzed, including maximum story acceleration, maximum inter-story drift, and base shear in the TMD-controlled and uncontrolled adjacent buildings. Finally, the Park-Ang damage index is evaluated for the structures with and without the TMD system. It has been found that the maximum pounding force, the maximum acceleration of the stories, the base shear, the drift ratio, and the number of collisions significantly reduce (or omit) in the presence of TMDs when the objective function is considered to be the minimization of the maximum pounding force. It is shown that the maximum pounding force generally declines to zero for

关键词： Tuned mass damper Pounding force Concentrated plasticity method optimization algorithm Nonlinear time history analysis Damage index

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Rock dynamic strength prediction in cold regions using optimized hybrid algorithmic models

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GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES 2024年第1期10卷 1-29页

作者： Lv, You Shen, Yanjun Zhang, Anlin Ren, Li Xie, Jing Zhang, Zetian Zhang, Zhilong An, Lu Sun, Junlong Yan, Zhiwei Mi, Ou Sichuan Univ Coll Water Resource & Hydropower State Key Lab Intelligent Construction & Hlth Oper Chengdu 610065 Sichuan Peoples R China Changan Univ Dept Geol Engn & Geomatics Xian 710054 Shaanxi Peoples R China Nanyang Technol Univ Coll Sci Asian Sch Environm Singapore 639798 Singapore Sichuan Univ MOE Key Lab Deep Earth Sci & Engn Chengdu 610065 Sichuan Peoples R China

Predicting the dynamic mechanical characteristics of rocks during freeze-thaw cycles (FTC) is crucial for comprehending the damage process of FTC and averting disasters in rock engineering in cold climates. Nevertheless, the conventional mathematical regression approach has constraints in accurately forecasting the dynamic compressive strength (DCS) of rocks under these circumstances. Hence, this study presents an optimized approach by merging the Coati optimization algorithm (COA) with Random Forest (RF) to offer a reliable solution for nondestructive prediction of DCS of rocks in cold locations. Initially, a database of the DCS of rocks after a series of FTC was constructed, and these data were obtained by performing the Split Hopkinson Pressure Bar Test on rocks after FTC. The main influencing factors of the test can be summarized into 10, and PCA was employed to decrease the number of dimensions in the dataset, and the microtests were used to explain the mechanism of the main influencing factors. Additionally, the Backpropagation Neural Network and RF are used to construct the prediction model of DCS of rock, and six optimization techniques were employed for optimizing the hyperparameters of the model. Ultimately, the 12 hybrid prediction models underwent a thorough and unbiased evaluation utilizing a range of evaluation indicators. The outcomes of the research concluded that the COA-RF model is most recommended for application in engineering practice, and it achieved the highest score of 10 in the combined score of the training and testing phases, with the lowest RMSE (4.570,8.769), the lowest MAE (3.155,5.653), the lowest MAPE (0.028,0.050), the highest R2 (0.983,0.94). The PCA approach is employed to reduce the dimensionality of the initial set of data, simplifying its data structure while retaining as much crucial information from the original data as *** paper presents 12 models for forecasting the DCS of rocks for cold areas. It also assesses the

关键词： Freezing and thawing action Dynamic mechanical strength Machine learning optimization algorithm Model tuning

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A single layer 1-bit ultra-wideband conformal metasurface for RCS-reduction with polarization conversion

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JOURNAL OF PHYSICS D-APPLIED PHYSICS 2025年第8期58卷 085002-085002页

作者： Liu, Youya Jiang, Dapeng Fu, Yang Zhou, Xiaofeng Ding, Fan Yang, Helin Cent China Normal Univ Coll Phys Sci & Technol Wuhan 430000 Peoples R China China Ship Dev & Design Ctr Wuhan 430064 Peoples R China Hanjiang Natl Lab Wuhan 430070 Peoples R China

This paper proposes a single layer 1-bit linear polarization converter for reducing the ultra-wideband radar cross section (RCS) of both planar and conformal surfaces. The layout of the supercells was optimized using the simulated annealing algorithm, achieving an average RCS reduction of over 10 dB in the range of 6.39-18.1 GHz in the planar case. By conforming the metasurface with cylinders of different radius of curvature, the result still meets the requirement of a 10 dB reduction within the bandwidth, which solves the expansion of the RCS reduction from planar to curved surfaces. Sample was prepared and experiments were conducted. The test results were consistent with the simulation results, indicating that the designed metasurface has potential applications in electromagnetic stealth for large targets.

关键词： polarization conversion RCS reduction optimization algorithm conformal ultra-wideband

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Optimized control of parallel heat pump units based on the satin bower bird algorithm in a distributed architecture

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CASE STUDIES IN THERMAL ENGINEERING 2025年 69卷

作者： Zhang, Sijia Xi, Jiangtao Zhao, Anjun Liu, Jun Zhang, Yuping Shaanxi Normal Univ Sch Comp Sci Xian 710119 Peoples R China China Northwest Architecture Design & Res Inst Co 98 Wenjing Rd Xian 710018 Peoples R China Xian Univ Architecture & Technol Sch Bldg Serv Sci & Engn Xian 710055 Peoples R China Shaanxi Coal Geol Grp Co Ltd Minist Nat Resources Key Lab Coal Resources Explorat & Comprehens Utili Xian 710021 Peoples R China

Compared to traditional shallow borehole heat exchanger (BHE), medium-deep borehole heat exchanger (MDBHE) exhibits significant advantages in heat extraction capability. Utilizing MDBHE as the heat source for heating systems can effectively achieve primary energy savings. However, in building heating applications, MDBHE is generally combined with heat pump units, which typically operate in parallel. The optimal load distribution of parallel heat pump units is a critical issue in MDBHE heating systems. Reasonable control to meet load demands is of great importance for the energy-efficient operation of the system. To address these issues, this study first establishes and compares optimization models of centralized and distributed systems targeting parallel heat pump units. The Distributed Satin Bowerbird optimization (DSBO) algorithm is proposed to address the load optimization distribution problem in parallel heat pump units within MDBHE. Experimental results confirm the robustness of the D-SBO algorithm, achieving up to a 23.1% improvement in COP. In case 1, the standard deviations of D-SBO range from 0.05 to 0.65 under a load demand of 40% to 90%. In case 2, the standard deviations range from 0.09 to 2.67 with a load demand of 70% to 90%. While D-SBO yields results comparable to DCSA, it demonstrates superior stability. Additionally, D-SBO provides significant energy savings, ranging from 3.90 kW to 140.38 kW in case 1 compared to GA, and from 1.00 kW to 165.00 kW in case 2 compared to GA and PSO.

关键词： Medium-deep borehole heat exchanger optimization algorithm Distributed energy system Optimal configuration Energy saving

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