Current Issue : January-March Volume : 2023 Issue Number : 1 Articles : 5 Articles
Wind energy in Europe is expected to grow at a steady, high pace, but opposition from residents to local wind farm plans is one of the obstacles to further growth. A large body of evidence shows that local populations want to be involved and respected for their concerns, but in practice, this is a complex process that cannot be solved with simple measures, such as financial compensation. The visual presence and the acoustic impact of a wind farm is an important concern for residents. Generally, environmental noise management aims to reduce the exposure of the population, usually based on acoustics and restricted to a limited number of sources (such as transportation or industry) and sound descriptors (such as Lden). Individual perceptions are taken into account only at an aggregate, statistical level (such as percentage of exposed, annoyed or sleep-disturbed persons in the population). Individual perceptions and reactions to sound vary in intensity and over different dimensions (such as pleasure/fear or distraction). Sound level is a predictor of the perceived health effects of sound, but explains only part of the reaction. The positive or negative perception of and attitude to the source of the sound is a better predictor of its effects. This article aims to show how the two perspectives (based on acoustics and on perception) can lead to a combined approach in the management of a wind farm aimed to reduce annoyance, not only on a sound level. An important aspect in this approach is what the sound means to people, leading to the following questions: is it associated with the experience of having no say in plans, does it lead to anxiety or worry and is it appropriate? The available knowledge will be applied to wind farm management, including planning as well as operation....
With the acceleration of urbanization, cities have shown a development trend of high density, high height, and high intensity, which significantly weakens the airflow in the city, resulting in the accumulation of heat and pollutants, and in the urban environment, the problem is getting worse. Therefore, it is particularly necessary to strengthen urban ventilation in the urban environment. However, in the real urban environment, the building layouts are diverse, the building forms are different, and the interaction of the building wind environment is complex due to the lack of relevant research on the complex building spatial form in the urban mesoscale area on the outdoor pedestrian. The research results are difficult to be applied in actual urban construction, and it is difficult to guide the optimization of the urban wind environment. To solve this problem, this paper adopts the CFD method in a real-scale (1 : 1) urban mesoscale regional wind environment simulation study. On this basis, the influencing factors of the urban pedestrian wind environment are analyzed, and the optimization strategy of the wind environment is proposed, which can provide practical guidance for the planning practice of enhancing urban wind comfort....
An alternate renewable energy source, through a piezoelectric vibration energy harvester with a bluff splitter body, could lead to higher efficiency in energy harvesting, through vortex-induced vibration at a near-resonance condition at 20 m/s high wind speed. However, wind energy is not as popular as solar energy, as the main renewable energy source in Malaysia, due to the relatively low wind speed available in the country. The INVELOX machine, introduced in 2014, was one of the most recent systems used to harvest wind power by accelerating wind speed. This omni-directional wind funnel could capture wind from all directions and tunnel it through a convergent-divergent nozzle, where the coupled bluff splitter body and piezoelectric vibration energy harvester (PVEH) are located at its venturi throat, which could lead to an increase in wind speed to fulfil the task of VIV energy harvesting. The proposed modified design is found to achieve 2.7 times the wind speed amplification at the venturi, which outperformed previously proposed designs. To achieve the optimum wind speed of 20 m/s for the coupled bluff splitter body and the PVEH plate, a free-stream wind speed of 7.4 m/s is recommended. The integration of the PVEH plate and the wind funnel is expected to harvest maximum voltage output at 20.99 V or 4.96 V, with a maximum power output of 0.82mW at 20 m/s....
China’s wind power industry has grown dramatically in recent years as the country’s focus on clean energy and renewable energy generation has increased. Mechanical fault diagnosis of wind power transmission is a common wind maintenance method. It has recently become a research hotspot in the field of mechanical fault diagnosis as a method of fault identification based on picture attributes. Time-frequency images, on the other hand, are better for fault analysis and fault diagnosis of wind power transmission machinery than time-domain and frequency-domain images because they contain more information about the operation status of the gear. This work proposes and applies an image feature extraction-based fault diagnostic method to the defect diagnosis of wind-driven mechanical gears. The feature extraction suitable for gear and gear box faults is analyzed, and the improved artificial immune algorithm is used for fault identification. Through collecting normal vibration signals and two kinds of fault vibration signals from the gearbox of wind power transmission in a wind farm and extracting image features on the basis of data processing, the improved algorithm is finally applied for fault analysis. The experimental results show that the fault diagnosis rate of the improved real-value negative selection algorithm is obviously improved and can improve the fault diagnosis rate by 5%....
Wind velocity has an important influence on the ballistic characteristics of uncontrolled projectiles. It is difficult to precisely determine the projectile’s impact position if wind velocity information from the projectile’s flight process cannot be collected. A wind velocity identification technique of spinning projectile based on the multiobjective chaotic adaptive differential evolution algorithm is suggested to increase the estimation accuracy of wind velocity and ballistic prediction accuracy during projectile flight. The variation law of projectile aerodynamic characteristics under no wind situation is calculated using the 4D kinematic model of spinning projectile. Three aerodynamic parameter coefficients are chosen as reference variables, three objective functions are defined by mean square error, and the two components of wind velocity along the ground coordinate system are used as decision variables in the identification process. The study identifies the two components, which is based on the multiobjective chaotic adaptive differential evolution algorithm. Several groups of wind velocity identification under constant and variable wind conditions are numerically simulated. The results show that the suggested method can estimate wind velocity effectively and precisely throughout the flight of spinning projectile....
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