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Keywords = wind speed regulation

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19 pages, 1634 KB  
Article
Multi-Objective Optimized Fuzzy Fractional-Order PID Control for Frequency Regulation in Hydro–Wind–Solar–Storage Systems
by Yuye Li, Chenghao Sun, Jun Yan, An Yan, Shaoyong Liu, Jinwen Luo, Zhi Wang, Chu Zhang and Chaoshun Li
Water 2025, 17(17), 2553; https://doi.org/10.3390/w17172553 - 28 Aug 2025
Viewed by 268
Abstract
In the integrated hydro–wind–solar–storage system, the strong output fluctuations of wind and solar power, along with prominent system nonlinearity and time-varying characteristics, make it difficult for traditional PID controllers to achieve high-precision and robust dynamic control. This paper proposes a fuzzy fractional-order PID [...] Read more.
In the integrated hydro–wind–solar–storage system, the strong output fluctuations of wind and solar power, along with prominent system nonlinearity and time-varying characteristics, make it difficult for traditional PID controllers to achieve high-precision and robust dynamic control. This paper proposes a fuzzy fractional-order PID control strategy based on a multi-objective optimization algorithm, aiming to enhance the system’s frequency regulation, power balance, and disturbance rejection capabilities. The strategy combines the adaptive decision-making ability of fuzzy control with the high-degree-of-freedom tuning features of fractional-order PID. The multi-objective optimization algorithm AGE-MOEA-II is employed to jointly optimize five core parameters of the fuzzy fractional-order PID controller (Kp, Ki, Kd, λ, and μ), balancing multiple objectives such as system dynamic response speed, steady-state accuracy, suppression of wind–solar fluctuations, and hydropower regulation cost. Simulation results show that compared to traditional PID, single fractional-order PID, or fuzzy PID controllers, the proposed method significantly reduces system frequency deviation by 35.6%, decreases power overshoot by 42.1%, and improves renewable energy utilization by 17.3%. This provides an effective and adaptive solution for the stable operation of hydro–wind–solar–storage systems under uncertain and variable conditions. Full article
(This article belongs to the Special Issue Research Status of Operation and Management of Hydropower Station)
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36 pages, 53013 KB  
Article
Spatial Variations in Urban Outdoor Heat Stress and Its Influencing Factors During a Typical Summer Sea-Breeze Day in the Coastal City of Sendai, Japan, Based on Thermal Comfort Mapping
by Shiyi Peng and Hironori Watanabe
Sustainability 2025, 17(17), 7627; https://doi.org/10.3390/su17177627 - 23 Aug 2025
Viewed by 654
Abstract
Sea breezes alleviate coastal heat stress via cooling and humidifying. Sendai, Japan, in 2015 had a population of 1.08 million and an area of 786 km2. Integrating the WRF model with RayMan, this study employs the PET index to assess spatiotemporal [...] Read more.
Sea breezes alleviate coastal heat stress via cooling and humidifying. Sendai, Japan, in 2015 had a population of 1.08 million and an area of 786 km2. Integrating the WRF model with RayMan, this study employs the PET index to assess spatiotemporal distributions of thermal comfort and heat stress, and their influencing factors, on typical summer sea-breeze days in Sendai, Japan. Results indicate that in the coastal zone, PET was primarily regulated by air temperature (Ta) and relative humidity (RH). In contrast, wind speed was the dominant influence on urban/inland zones, with Ta and RH contributing more during the evening. Sea breezes markedly improved the thermal environment in the coastal zone, suppressing PET increases. PET in urban and inland zones exhibited an initial rise followed by a decline, with the inland zone experiencing sustained extreme heat stress for 3 h. Among regions experiencing extreme heat stress, inland zones showed the highest proportion (17.75%), while coastal zones had the lowest (2.14%). Proportions across the three zones were similar under nighttime conditions with no thermal stress, with the urban zone exhibiting a slightly lower proportion. This study provides a theoretical basis for climate-adaptive urban planning leveraging sea breezes as a resource. Full article
(This article belongs to the Section Air, Climate Change and Sustainability)
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31 pages, 17514 KB  
Article
Optimized Plant Configuration Designs for Wind Damage Prevention in Masonry Heritage Buildings: A Case Study of Zhen Guo Tower in Weihui, Henan, China
by Zhiyuan Mao, Ke Ma, Dong He, Zhenkuan Guo, Xuefei Zhao and Yichuan Zhang
Buildings 2025, 15(17), 2999; https://doi.org/10.3390/buildings15172999 - 23 Aug 2025
Viewed by 261
Abstract
Wind-induced erosion and extreme weather events pose growing risks to the structural integrity of masonry heritage buildings. However, current mitigation approaches often overlook ecological sustainability. This study investigates the wind-regulating effects of vegetation surrounding the Zhen Guo Tower, a 400-year-old masonry structure in [...] Read more.
Wind-induced erosion and extreme weather events pose growing risks to the structural integrity of masonry heritage buildings. However, current mitigation approaches often overlook ecological sustainability. This study investigates the wind-regulating effects of vegetation surrounding the Zhen Guo Tower, a 400-year-old masonry structure in Weihui, Henan Province, China. Using computational fluid dynamics (CFD) simulations, we first assess the protective performance of the existing vegetation layout and then develop and evaluate an optimized plant configuration. The results show that the proposed multilayered vegetation arrangement effectively reduces wind speeds by up to 13.57 m/s under extreme wind conditions, particularly within the 5–15 m height range. Wind protection efficiency improved by 28–68% compared to the baseline. This study demonstrates a replicable and ecologically integrated strategy for mitigating wind hazards in masonry heritage sites through vegetation-based interventions. Full article
(This article belongs to the Section Building Structures)
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16 pages, 3643 KB  
Article
Research on Performance Testing Methods for Electrical Equipment in High-Speed and Complex Environments: A Case Study on Roof Insulators of High-Speed Trains
by Yafei Huang, Xingliang Jiang, Jiayi Jin and Zhongyi Yang
Appl. Sci. 2025, 15(16), 9076; https://doi.org/10.3390/app15169076 - 18 Aug 2025
Viewed by 235
Abstract
This paper proposes a rotating test method to address the limitations of high costs and the inability to replicate high-speed multiphase environments in icing wind tunnels and artificial climate chambers. The method simulates high-speed multiphase in an enclosed space using relative motion and [...] Read more.
This paper proposes a rotating test method to address the limitations of high costs and the inability to replicate high-speed multiphase environments in icing wind tunnels and artificial climate chambers. The method simulates high-speed multiphase in an enclosed space using relative motion and duct regulation at a lower cost. Using the FQJG2-30/16-400 type roof insulator, the Eulerian–Eulerian and CFD (computational fluid dynamics) method was employed to compare the proposed rotating method with traditional linear airflow tests in wind–sand erosion and high-speed icing experiments. Results show maximum differences of 3.23% in the collision rate and 4.34% in the icing mass, indicating good consistency. Validation experiments in an artificial climate chamber further confirmed the feasibility of the rotating test method, with icing mass differences within 5–8%. This study provides a cost-effective approach for high-speed testing in multiphase environments. Full article
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24 pages, 2664 KB  
Article
AIoT-Based Eyelash Extension Durability Evaluation Using LabVIEW Data Analysis
by Sumei Chiang, Shao-Hsun Chang, Kai-Chao Yao, Po-Yu Kuo and Chien-Tai Hsu
Sensors 2025, 25(16), 5057; https://doi.org/10.3390/s25165057 - 14 Aug 2025
Viewed by 268
Abstract
This study introduces a novel platform, the Artificial Intelligence of Things Experimental Device Platform (AIoTEDP), to evaluate the durability of eyelash extensions under various environmental factors, including temperature, wind speed, and compression frequency. The experiment employs a three-factor full factorial design, utilizing LabVIEW [...] Read more.
This study introduces a novel platform, the Artificial Intelligence of Things Experimental Device Platform (AIoTEDP), to evaluate the durability of eyelash extensions under various environmental factors, including temperature, wind speed, and compression frequency. The experiment employs a three-factor full factorial design, utilizing LabVIEW to collect and analyze independent variables. The retention rate of eyelash extensions is the dependent variable for evaluating the durability. The proposed AIoTEDP regulates thermostats, stepper motors, and heating fans to simulate real-world eyelash extension usage conditions. Quantitative analyses are performed through visual assessments and image recognition technologies. The experimental results indicate that high temperatures and strong winds significantly reduce the durability of eyelash extensions. However, moderate bending damage (3000 repetitions) still allows for sufficient retention. This study validates the practicality and accuracy of the proposed AIoTEDP, showcasing its potential for innovative cosmetic testing systems to assess eyelash extension durability. Full article
(This article belongs to the Special Issue AI-Empowered Internet of Things)
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20 pages, 5097 KB  
Article
Performance Enhancement of an Electric–Wind–Vehicle with Smart Switching Circuit and Modified Sliding Mode Control
by Mohamed A. Shamseldin, Ramy S. Soliman and Samah El-khatib
Automation 2025, 6(3), 39; https://doi.org/10.3390/automation6030039 - 14 Aug 2025
Viewed by 359
Abstract
This paper presents a new strategy for wind energy harvesting to enhance the performance of the electric-wind vehicle (EWV). A wind turbine is mounted on the front of an electric-wind vehicle model to capture wind that blows in the opposite direction of the [...] Read more.
This paper presents a new strategy for wind energy harvesting to enhance the performance of the electric-wind vehicle (EWV). A wind turbine is mounted on the front of an electric-wind vehicle model to capture wind that blows in the opposite direction of the moving vehicle. When the primary battery runs low, the generator switches on, converting wind energy into electricity and storing it in a backup battery. The switching circuit is developed to alternate between the main battery and the backup battery based on the battery capacity level. During the movement of the EWV, the backup battery charges using the wind turbine while the main battery discharges. A modified sliding mode control is used to track the reference speed of the EWV and to regulate the speed by switching between the two batteries. Several scenarios are applied to investigate the proposed strategy. The results show that the proposed strategy can save power by 30% compared to the conventional strategy. Moreover, the modified sliding mode control enhances the EWV’s dynamic performance in contrast to PID control, which shows poor performance (low rise time and low overshoot). Full article
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20 pages, 4835 KB  
Article
Soil Inorganic Carbon Content and Its Environmental Controls in the Weibei Loess Region: A Random Forest-Based Spatial Analysis
by Duoxun Xu, Yongkang Ding, Yuchen Yan, Jianli Qian, Qianzhuo Zhao and Anquan Xia
Land 2025, 14(8), 1609; https://doi.org/10.3390/land14081609 - 8 Aug 2025
Viewed by 418
Abstract
Soil carbon constitutes the largest terrestrial carbon reservoir, with inorganic forms (SIC) contributing an estimated 20–40% of the global total. Despite its relevance to arid-region carbon cycling and stabilization, SIC remains less studied than soil organic carbon (SOC). This study quantified surface SIC [...] Read more.
Soil carbon constitutes the largest terrestrial carbon reservoir, with inorganic forms (SIC) contributing an estimated 20–40% of the global total. Despite its relevance to arid-region carbon cycling and stabilization, SIC remains less studied than soil organic carbon (SOC). This study quantified surface SIC content (0–20 cm) and its environmental drivers across the Weibei Loess region using 3261 soil samples collected between 2008 and 2010. A combination of Random Forest (RF) modeling and optimal parameter geodetector (OPGD) analysis was employed to assess spatial heterogeneity and identify key environmental controls. SIC content ranged from 0.10 to 3.56 g kg−1 (mean = 1.23 ± 0.41 g kg−1), generally lower than reported values in the Tibetan Plateau and Inner Mongolia. Higher concentrations were observed in central areas, with lower values toward the periphery. While mean annual temperature (MAT) and precipitation (MAP) remained key climatic correlates, shortwave radiation (srad) emerged as the strongest control on SIC across the region, exhibiting a significant positive association with its accumulation. Notably, its interaction with wind speed (vs) further amplified this effect, highlighting the synergistic role of radiation and near-surface turbulence in regulating inorganic carbon retention in surface soils. Collectively, these variables explained ~56% of SIC spatial variation. Favorable conditions for SIC accumulation were identified within specific environmental thresholds: srad (171–172 W/m2), MAP (546–587 mm), MAT (10.2–11.5 °C), and vs (1.90–1.96 m/s). These findings offer a quantitative basis for understanding SIC patterns in loess-derived soils and support the development of region-specific strategies for carbon regulation under changing climatic conditions. Full article
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24 pages, 6757 KB  
Article
Design and Testing of a Pneumatic Jujube Harvester
by Huaming Hou, Wei Niu, Qixian Wen, Hairui Yang, Jianming Zhang, Rui Zhang, Bing Xv and Qingliang Cui
Agronomy 2025, 15(8), 1881; https://doi.org/10.3390/agronomy15081881 - 3 Aug 2025
Viewed by 326
Abstract
Jujubes have a beautiful taste, and high nutritional and economic value. The planting area of dwarf and densely planted jujubes is large and shows an increasing trend; however, the mechanization level and efficiency of fresh jujube harvesting are low. For this reason, our [...] Read more.
Jujubes have a beautiful taste, and high nutritional and economic value. The planting area of dwarf and densely planted jujubes is large and shows an increasing trend; however, the mechanization level and efficiency of fresh jujube harvesting are low. For this reason, our research group conducted a study on mechanical harvesting technology for fresh jujubes. A pneumatic jujube harvester was designed. This harvester is composed of a self-regulating picking mechanism, a telescopic conveying pipe, a negative pressure generator, a cleaning mechanism, a double-chamber collection box, a single-door shell, a control assembly, a generator, a towing mobile chassis, etc. During the harvest, the fresh jujubes on the branches are picked under the combined effect of the flexible squeezing of the picking roller and the suction force of the negative pressure air flow. They then enter the cleaning mechanism through the telescopic conveying pipe. Under the combined effect of the upper and lower baffles of the cleaning mechanism and the negative-pressure air flow, the fresh jujubes are separated from impurities such as jujube leaves and branches. The clean fresh jujubes fall into the collection box. We considered the damage rate of fresh jujubes, impurity rate, leakage rate, and harvesting efficiency as the indexes, and the negative-pressure suction wind speed, picking roller rotational speed, and the inclination angle of the upper and lower baffles of the cleaning and selection machinery as the test factors, and carried out the harvesting test of fresh jujubes. The test results show that when the negative-pressure suction wind speed was 25 m/s, the picking roller rotational speed was 31 r/min, and the inclination angles of the upper and lower baffle plates for cleaning and selecting were −19° and 19.5°, respectively, the breakage rate of fresh jujube harvesting was 0.90%, the rate of impurity was 1.54%, the rate of leakage was 2.59%, and the efficiency of harvesting was 73.37 kg/h, realizing the high-efficiency and low-loss harvesting of fresh jujubes. This study provides a reference for the research and development of fresh jujube mechanical harvesting technology and equipment. Full article
(This article belongs to the Section Precision and Digital Agriculture)
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22 pages, 4629 KB  
Article
Wind-Resistant UAV Landing Control Based on Drift Angle Control Strategy
by Haonan Chen, Zhengyou Wen, Yu Zhang, Guoqiang Su, Liaoni Wu and Kun Xie
Aerospace 2025, 12(8), 678; https://doi.org/10.3390/aerospace12080678 - 29 Jul 2025
Viewed by 308
Abstract
Addressing lateral-directional control challenges during unmanned aerial vehicle (UAV) landing in complex wind fields, this study proposes a drift angle control strategy that integrates coordinated heading and trajectory regulation. An adaptive radius optimization method for the Dubins approach path is designed using wind [...] Read more.
Addressing lateral-directional control challenges during unmanned aerial vehicle (UAV) landing in complex wind fields, this study proposes a drift angle control strategy that integrates coordinated heading and trajectory regulation. An adaptive radius optimization method for the Dubins approach path is designed using wind speed estimation. By developing a wind-coupled flight dynamics model, we establish a roll angle control loop combining the L1 nonlinear guidance law with Linear Active Disturbance Rejection Control (LADRC). Simulation tests against conventional sideslip approach and crab approach, along with flight tests, confirm that the proposed autonomous landing system achieves smoother attitude transitions during landing while meeting all touchdown performance requirements. This solution provides a theoretically rigorous and practically viable approach for safe UAV landings in challenging wind conditions. Full article
(This article belongs to the Section Aeronautics)
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30 pages, 78202 KB  
Article
Climate-Adaptive Architecture: Analysis of the Wei Family Compound’s Thermal–Ventilation Environment in Ganzhou, China
by Xiaolong Tao, Xin Liang and Wenjia Liu
Buildings 2025, 15(15), 2673; https://doi.org/10.3390/buildings15152673 - 29 Jul 2025
Viewed by 688
Abstract
Sustainable building design is significantly impacted by the local climate response knowledge ingrained in traditional architecture. However, its integration and dissemination with contemporary green technologies are limited by the absence of a comprehensive quantitative analysis of the regulation of its humid and temperature [...] Read more.
Sustainable building design is significantly impacted by the local climate response knowledge ingrained in traditional architecture. However, its integration and dissemination with contemporary green technologies are limited by the absence of a comprehensive quantitative analysis of the regulation of its humid and temperature environment. The Ganzhou Wei family compound from China’s wind–heat environmental regulation systems are examined in this study. We statistically evaluate the synergy between spatial morphology, material qualities, and microclimate using field data with Thsware and Ecotect software in a multiscale simulation framework. The findings indicate that the compound’s special design greatly controls the thermal and wind conditions. Cold alleyways and courtyards work together to maximize thermal environment regulation and encourage natural ventilation. According to quantitative studies, courtyards with particular depths (1–4 m) and height-to-width ratios (e.g., 1:1) reduce wind speed loss. A cool alley (5:1 height–width ratio) creates a dynamic wind–speed–temperature–humidity balance by lowering summer daytime temperatures by 2.5 °C. It also serves as a “cold source area” that moderates temperatures in the surrounding area by up to 2.1 °C. This study suggests a quantitative correlation model based on “spatial morphology–material performance–microclimate response,” which offers a technical route for historic building conservation renovation and green renewal, as well as a scientific foundation for traditional buildings to maintain thermal comfort under low energy consumption. Although based on a specific geographical case, the innovative analytical methods and strategies of this study are of great theoretical and practical significance for promoting the modernization and transformation of traditional architecture, low-carbon city construction, and sustainable building design. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
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17 pages, 1145 KB  
Article
Optimization Scheduling of Multi-Regional Systems Considering Secondary Frequency Drop
by Xiaodong Yang, Xiaotong Hua, Lun Cheng, Tao Wang and Yujing Su
Energies 2025, 18(15), 3926; https://doi.org/10.3390/en18153926 - 23 Jul 2025
Viewed by 226
Abstract
After primary frequency regulation in large-scale wind farms is completed, the power dip phenomenon occurs during the rotor speed recovery phase. This phenomenon may induce a secondary frequency drop in power systems, which poses challenges to system frequency security. To address this issue, [...] Read more.
After primary frequency regulation in large-scale wind farms is completed, the power dip phenomenon occurs during the rotor speed recovery phase. This phenomenon may induce a secondary frequency drop in power systems, which poses challenges to system frequency security. To address this issue, this paper proposes a frequency security-oriented optimal dispatch model for multi-regional power systems, taking into account the risks of secondary frequency drop. In the first stage, risk-averse day-ahead scheduling is conducted. It co-optimizes operational costs and risks under wind power uncertainty through stochastic programming. In the second stage, frequency security verification is carried out. The proposed dispatch scheme is validated against multi-regional frequency dynamic constraints under extreme wind scenarios. These two stages work in tandem to comprehensively address the frequency security issues related to wind power integration. The model innovatively decomposes system reserve power into three distinct components: wind fluctuation reserve, power dip reserve, and contingency reserve. This decomposition enables coordinated optimization between absorbing power oscillations during wind turbine speed recovery and satisfies multi-regional grid frequency security constraints. The column and constraint generation algorithm is employed to solve this two-stage optimization problem. Case studies demonstrate that the proposed model effectively mitigates frequency security risks caused by wind turbines’ operational state transitions after primary frequency regulation, while maintaining economic efficiency. The methodology provides theoretical support for the secure integration of high-penetration renewable energy in modern multi-regional power systems. Full article
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18 pages, 10314 KB  
Article
Multispectral and Thermal Imaging for Assessing Tequila Vinasse Evaporation: Unmanned Aerial Vehicles and Satellite-Based Observations
by Jesús Gabriel Rangel-Peraza, Sergio Alberto Monjardin-Armenta, Osiris Chávez-Martínez and José de Anda
Processes 2025, 13(7), 2281; https://doi.org/10.3390/pr13072281 - 17 Jul 2025
Viewed by 314
Abstract
This work aims to assess the droplets produced by a novel evaporation process, proposed as an alternative for managing tequila vinasses, using a spectral camera with three spectral bands and a thermal camera mounted on an unmanned aerial vehicle (UAV). High-resolution satellite images [...] Read more.
This work aims to assess the droplets produced by a novel evaporation process, proposed as an alternative for managing tequila vinasses, using a spectral camera with three spectral bands and a thermal camera mounted on an unmanned aerial vehicle (UAV). High-resolution satellite images with seven spectral bands complemented this characterization. The spectral characterization was conducted by comparing three experimental conditions: the background of the study area without droplets, the droplets generated from purified water, and the droplets produced from tequila vinasses. Two monitoring campaigns, conducted in November 2024 and January 2025, revealed that the tequila vinasse droplets exhibited a maximum influence radius of 16 m, primarily regulated by wind speed conditions (6–16 km/h). Thermal analysis identified the droplet plume as a zone with a lower temperature, creating a thermal contrast of up to 6.6 °C against the average background temperature of 36.6 °C. No significant difference was observed in the influence radius between the droplets generated from vinasse and those from potable water. Spectral analysis of the UAV and satellite images showed significant (p < 0.05) differences in reflectance when the droplets were present (e.g., the coastal blue band increased from an average of 14.43 to 95.59 when vinasse droplets were present). This suggests that the presence of chemical compounds altered light absorption and reflection. However, the instrument’s sensitivity limited the detection of organic compounds at concentrations below its detection limit. The monitoring data presented in this manuscript is crucial for developing strategies to mitigate the potential environmental impacts of the droplets emitted by this novel process. Full article
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15 pages, 2841 KB  
Article
Calculation Model for Heat-Regulating Ring in Mine Surrounding Rock
by Menglong Bian and Lin Li
Processes 2025, 13(7), 2136; https://doi.org/10.3390/pr13072136 - 4 Jul 2025
Viewed by 378
Abstract
The temperature of a surrounding rock mass decreases continuously due to the ventilation in its roadway, and the range of the rock mass with the temperature decreasing is called a Heat-Regulating Ring. Considering the steady-state temperature field, a steady-state heat conduction model of [...] Read more.
The temperature of a surrounding rock mass decreases continuously due to the ventilation in its roadway, and the range of the rock mass with the temperature decreasing is called a Heat-Regulating Ring. Considering the steady-state temperature field, a steady-state heat conduction model of the Heat-Regulating Ring is established, and a formula of the radius and temperature of the Heat-Regulating Ring is obtained. It is found that the radius of the Heat-Regulating Ring is related to the thermal conductivity of the rock, the surface heat transfer coefficient of the tunnel, the radius of the ventilation tunnel, the original rock temperature, the rock wall temperature, and the air temperature. As assessed through field experiments and numerical simulation experiments, the error between the theoretical values and the simulation-derived values for the heat conduction model is very small, and the theoretical formula has a universal applicability. After long-term ventilation, the section shape and the radius of the ventilation tunnel have little effect on the Heat-Regulating Ring’s radius. The wind speed increases from 1 m/s to 5 m/s, and the radius of the Heat-Regulating Ring increases from 26.9 m to 28.4 m. When the ventilation wind speed reaches a certain value, although the wind speed is still increasing, the temperature value of the Heat-Regulating Ring is basically unchanged, or the change amplitude is very small. When the wind speed is 5 m/s, after 1800 days of ventilation, the radius of the Heat-Regulating Ring along the roadway is 27.9 m to 28.4 m. Full article
(This article belongs to the Section Energy Systems)
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16 pages, 3316 KB  
Article
Enhancing Wind Turbine Sustainability Through LiDAR Configuration Analysis and Evaluation of Two Reference LiDAR-Assisted Control Strategies
by Cedric D. Steinmann Perez, Alan W. H. Lio and Fanzhong Meng
Sustainability 2025, 17(13), 6083; https://doi.org/10.3390/su17136083 - 2 Jul 2025
Viewed by 424
Abstract
LiDAR-assisted wind turbine control holds strong potential for reducing structural loads and improving rotor speed regulation, thereby contributing to more sustainable wind energy generation. However, key research gaps remain: (i) the practical limitations of commercially available fixed beam LiDARs for large turbines, and [...] Read more.
LiDAR-assisted wind turbine control holds strong potential for reducing structural loads and improving rotor speed regulation, thereby contributing to more sustainable wind energy generation. However, key research gaps remain: (i) the practical limitations of commercially available fixed beam LiDARs for large turbines, and (ii) the performance assessment of commonly used LiDAR assisted feedforward control methods. This study addresses these gaps by (i) analysing how the coherence of LiDAR estimated rotor effective wind speed is influenced by the number of beams, measurement locations, and turbulence box resolution, and (ii) comparing two established control strategies. Numerical simulations show that applying a low cut-off frequency in the low-pass filter can impair preview time compensation. This is particularly critical for large turbines, where reduced coherence due to fewer beams undermines the effectiveness of LiDAR assisted control compared to the smaller turbines. The subsequent evaluation of control strategies shows that the Schlipf method offers greater robustness and consistent load reduction, regardless of the feedback control design. In contrast, the Bossanyi method, which uses the current blade pitch measurements, performs well when paired with carefully tuned baseline controllers. However, using the actual pitch angle in the feedforward pitch rate calculation can lead to increased excitation at certain frequencies, particularly if the feedback controller is not well tuned to avoid dynamics in those ranges. Full article
(This article belongs to the Section Energy Sustainability)
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27 pages, 12277 KB  
Article
Quantifying Landscape Effects on Urban Park Thermal Environments Using ENVI-Met and 3D Grid Profile Analysis
by Dongyang Yan, Liang Xu, Qifan Wang, Jing Feng and Xixi Wu
Forests 2025, 16(7), 1085; https://doi.org/10.3390/f16071085 - 30 Jun 2025
Viewed by 730
Abstract
Blue–green infrastructure is widely recognized for mitigating the urban heat island effect. However, most existing ENVI-met 5.6.1 studies focus on average thermal conditions and overlook fine-scale spatial gradients. This study investigates the urban park in Luoyang City by integrating high-resolution 3D ENVI-met simulations, [...] Read more.
Blue–green infrastructure is widely recognized for mitigating the urban heat island effect. However, most existing ENVI-met 5.6.1 studies focus on average thermal conditions and overlook fine-scale spatial gradients. This study investigates the urban park in Luoyang City by integrating high-resolution 3D ENVI-met simulations, multi-source data, and field measurements to quantify thermal gradients between park interiors and surrounding built-up areas. A midline cut-off approach was applied to extract horizontal and vertical thermal profiles. The results show that (1) temperature and physiological equivalent temperature (PET) differences are most pronounced at park edges and transition zones, where vegetation and water bodies serve as natural cooling buffers; (2) urban form indicators, especially the building coverage and open space ratio, significantly impact wind speed and the PET, with greenery improving thermal comfort via shading and evapotranspiration, while impervious surfaces intensify heat stress; (3) the park exhibits a distinct cold island effect, with the average PET in the core area up to 12.3 °C lower than in adjacent built-up zones. The effective cooling distance, which is identified through buffer-based zonal statistics, rapidly attenuates within approximately 200 m from the park boundary. These findings offer a novel spatial perspective on thermal regulation mechanisms of urban landscapes and provide quantitative evidence to guide the design of climate-resilient green infrastructure. Full article
(This article belongs to the Special Issue Designing Urban Green Spaces in a Changing Climate)
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