Zhaowei Yang¹, Bo Yang^2,*, Wenqi Liu¹, Miwei Li², Jiarong Wang², Lin Jiang³, Yiyan Sang⁴, Zhenning Pan⁵

Energy Engineering, Vol.122, No.2, pp. 405-430, 2025, DOI:10.32604/ee.2025.059515 - 31 January 2025

Abstract Accurate short-term wind power forecast technique plays a crucial role in maintaining the safety and economic efficiency of smart grids. Although numerous studies have employed various methods to forecast wind power, there remains a research gap in leveraging swarm intelligence algorithms to optimize the hyperparameters of the Transformer model for wind power prediction. To improve the accuracy of short-term wind power forecast, this paper proposes a hybrid short-term wind power forecast approach named STL-IAOA-iTransformer, which is based on seasonal and trend decomposition using LOESS (STL) and iTransformer model optimized by improved arithmetic optimization algorithm (IAOA).… More >

Xueqian Wang^*, Hongsheng Su

Energy Engineering, Vol.122, No.2, pp. 667-680, 2025, DOI:10.32604/ee.2024.058102 - 31 January 2025

Abstract As the proportion of new energy increases, the traditional cumulant method (CM) produces significant errors when performing probabilistic load flow (PLF) calculations with large-scale wind power integrated. Considering the wind speed correlation, a multi-scenario PLF calculation method that combines random sampling and segmented discrete wind farm power was proposed. Firstly, based on constructing discrete scenes of wind farms, the Nataf transform is used to handle the correlation between wind speeds. Then, the random sampling method determines the output probability of discrete wind power scenarios when wind speed exhibits correlation. Finally, the PLF calculation results of More >

Viet Tinh Nguyen, Rujira Chaysiri^*

Energy Engineering, Vol.122, No.2, pp. 515-536, 2025, DOI:10.32604/ee.2024.057786 - 31 January 2025

Abstract This paper presents a novel multi-criteria decision-making (MCDM) model for selecting optimal locations for a solar-wind hybrid energy plant in Vietnam. The study employs the Criteria Importance Through Intercriteria Correlation (CRITIC) and Combined Compromise Solution (CoCoSo) methods to address the challenge of evaluating potential sites based on a range of economic, technical, environmental, and social criteria. By integrating CRITIC for criteria weighting and CoCoSo for ranking alternatives, the study underscores the importance of objective, data-driven approaches in the strategic planning and implementation of sustainable energy projects. The results identify Ham Thuan Nam District in Binh More >

Afaq Khattak^1,*, Pak-wai Chan², Feng Chen³, Abdulrazak H. Almaliki⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1565-1584, 2025, DOI:10.32604/cmes.2025.059914 - 27 January 2025

Abstract Intense wind shear (I-WS) near airport runways presents a critical challenge to aviation safety, necessitating accurate and timely classification to mitigate risks during takeoff and landing. This study proposes the application of advanced Residual Network (ResNet) architectures including ResNet34 and ResNet50 for classifying I-WS and Non-Intense Wind Shear (NI-WS) events using Doppler Light Detection and Ranging (LiDAR) data from Hong Kong International Airport (HKIA). Unlike conventional models such as feedforward neural networks (FNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), ResNet provides a distinct advantage in addressing key challenges such as capturing intricate… More >

Mingguan Zhao^1,2,*, Xinsheng Dong^1,2, Yang Yang^1,2, Meng Li^1,2, Hongxia Wang^1,2, Shuyang Ma^1,2, Rui Zhu³, Xiaojing Zhu³

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2091-2109, 2025, DOI:10.32604/cmes.2025.059169 - 27 January 2025

Abstract Ice cover on transmission lines is a significant issue that affects the safe operation of the power system. Accurate calculation of the thickness of wire icing can effectively prevent economic losses caused by ice disasters and reduce the impact of power outages on residents. However, under extreme weather conditions, strong instantaneous wind can cause tension sensors to fail, resulting in significant errors in the calculation of icing thickness in traditional mechanics-based models. In this paper, we propose a dynamic prediction model of wire icing thickness that can adapt to extreme weather environments. The model expands… More >

Tingrui Liu¹, Qinghu Cui^1,2, Dan Xu^1,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 1-36, 2025, DOI:10.32604/fdmp.2024.058444 - 24 January 2025

Abstract With the gradual increase in the size and flexibility of composite blades in large wind turbines, problems related to aeroelastic instability and blade vibration are becoming increasingly more important. Given their impact on the lifespan of wind turbines, these subjects have become important topics in turbine blade design. In this article, first aspects related to the aeroelastic (structural and aerodynamic) modeling of large wind turbine blades are summarized. Then, two main methods for blade vibration control are outlined (passive control and active control), including the case of composite blades. Some improvement schemes are proposed More > Graphic Abstract

Hongliang Hao¹, Caifeng Wen^2,3, Feifei Xue^2,*, Hao Qiu¹, Ning Yang², Yuwen Zhang¹, Chaoyu Wang¹, Edwin E. Nyakilla¹

Energy Engineering, Vol.122, No.1, pp. 285-306, 2025, DOI:10.32604/ee.2024.057720 - 27 December 2024

Abstract Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources. This paper proposes a wind-solar hybrid energy storage system (HESS) to ensure a stable supply grid for a longer period. A multi-objective genetic algorithm (MOGA) and state of charge (SOC) region division for the batteries are introduced to solve the objective function and configuration of the system capacity, respectively. MATLAB/Simulink was used for simulation test. The optimization results show that for a 0.5 MW wind power and 0.5 MW photovoltaic system, with a combination of a 300 More >

Ryan Randall¹, Chunmei Chen^1,*, Mesfin Belayneh Ageze^2,3, Muluken Temesgen Tigabu⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2657-2691, 2024, DOI:10.32604/fdmp.2024.058169 - 23 December 2024

Abstract Vertical Axis Wind Turbines (VAWTs) offer several advantages over horizontal axis wind turbines (HAWTs), including quieter operation, ease of maintenance, and simplified construction. Surprisingly, despite the prevailing belief that HAWTs outperform VAWTs as individual units, VAWTs demonstrate higher power density when arranged in clusters. This phenomenon arises from positive wake interactions downstream of VAWTs, potentially enhancing the overall wind farm performances. In contrast, wake interactions negatively impact HAWT farms, reducing their efficiency. This paper extensively reviews the potential of VAWT clusters to increase energy output and reduce wind energy costs. A precise terminology is introduced More >

Yao Zhang¹, Hong Lan^1,3, Jiye Zhang^1,*, Lu Cai², Yuzhe Ma¹

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2789-2808, 2024, DOI:10.32604/fdmp.2024.055418 - 23 December 2024

Abstract In this study, the unsteady Reynolds-averaged Navier–Stokes algorithm coupled with the Discrete Phase Model (DPM) was used to study the accumulation of snow in the bogie region of a high-speed train under crosswind conditions. Moreover, the impact of active blowing schemes on the airflow around the bogie and the dynamics and deposition of snow particles were also assessed. According to the results: in the crosswind environment, active blowing changes the flow field in the bogie area, reducing the flow of air coming from the windward side and bottom of the bogie. The trajectory of snow… More >

Yuzhe Ma, Jiye Zhang^*, Jiawei Shi

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2843-2865, 2024, DOI:10.32604/fdmp.2024.055205 - 23 December 2024

Abstract The large number and dense layout of rail fastening can significantly affect the aerodynamic performance of trains. Utilizing the Improved Delayed Detached Eddy Simulation (IDDES) approach based on the SST (Shear Stress Transport) k-ω turbulent model, this study evaluates the effects of the rail fastening system on the aerodynamic force, slipstream and train wake under crosswind conditions. The results indicate that in such conditions, compared to the model without rails, the rail and the fastening system reduce the drag force coefficient of the train by 1.69%, while the lateral force coefficients increase by 1.16% and… More >