scholarly journals A Micro-Scale Cyclone-Wind Turbine for Rooftop Ventilator

Author(s):  
Unggul Wibawa ◽  
Akhmad Frandicahya Permadi ◽  
Rini Nur Hasanah

This paper analyzes the model of a cyclone-turbine for a micro-scale wind-power system being motivated by an idea to harvest the abandoned energy from rooftop ventilators. The system under consideration has been equipped with a battery to form a wind-battery power system. Data obtained from a wind site observation have been used to calculate the potentially generated power and efficiency, as well as the mechanical and electrical designs to extract the energy. The design has been explored to obtain the best efficiency of the cyclone-turbine model. The impact of wind-speed variation on the resulted system output has been investigated during the charging process of battery. The conclusion emphasizes the relationship between the output power and the range values of the resulted current and voltage, as well as the optimum wind speed-range of the cyclone-turbine operation.

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Jianzhou Wang ◽  
Haiyan Jiang ◽  
Bohui Han ◽  
Qingping Zhou

With depletion of traditional energy and increasing environmental problems, wind energy, as an alternative renewable energy, has drawn more and more attention internationally. Meanwhile, wind is plentiful, clean, and environmentally friendly; moreover, its speed is a very important piece of information needed in the operations and planning of the wind power system. Therefore, choosing an effective forecasting model with good performance plays a quite significant role in wind power system. A hybrid CS-EEMD-FNN model is firstly proposed in this paper for multistep ahead prediction of wind speed, in which EEMD is employed as a data-cleaning method that aims to remove the high frequency noise embedded in the wind speed series. CS optimization algorithm is used to select the best parameters in the FNN model. In order to evaluate the effectiveness and performance of the proposed hybrid model, three other short-term wind speed forecasting models, namely, FNN model, EEMD-FNN model, and CS-FNN model, are carried out to forecast wind speed using data measured at a typical site in Shandong wind farm, China, over three seasons in 2011. Experimental results demonstrate that the developed hybrid CS-EEMD-FNN model outperforms other models with more accuracy, which is suitable to wind speed forecasting in this area.


2011 ◽  
Vol 130-134 ◽  
pp. 3190-3194
Author(s):  
Ja Kuan Xia ◽  
Shi Xuan Lu ◽  
Shuang Mao ◽  
Wei Huang

A robust controller of wind turbine pitch angle is designed by using the quantitative feedback theory based on the analysis of wind power system model in this paper. The controller design methodology is to select the system parameters quantitatively at different wind speed disturbances in order to optimize the response time and the output stability. Theoretical analysis and simulation results demonstrate that the controller can control the speed stability of wind power system with strong robustness to uncertain disturbances of the system parameters when the wind speed fluctuates randomly.


2012 ◽  
Vol 608-609 ◽  
pp. 742-747
Author(s):  
Chun Hong Zhao ◽  
Lian Guang Liu ◽  
Zi Fa Liu ◽  
Ying Chen

The integration of wind farms has a significant impact on the power system reliability. An appropriate model used to assess wind power system reliability is needed. Establishing multi-objective models (wind speed model, wind turbine generator output model and wind farm equivalent model) and based on the non-sequential Monte Carlo simulation method to calculate risk indicators is a viable method for quantitatively assessing the reliability of power system including wind farms. The IEEE-RTS 79 test system and a 300MW wind farm are taken as example.The calculation resluts show that using the multi-objective models can improve accuracy and reduce error; the higher average wind speed obtains the better system reliabitity accordingly.


2016 ◽  
Vol 16 (4) ◽  
pp. 1455-1468 ◽  
Author(s):  
Kai Shi ◽  
Peifeng Xu ◽  
Zengqiang Wan ◽  
Feifei Bu ◽  
Zhiming Fang ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Han Wang ◽  
Shuang Han ◽  
Yongqian Liu ◽  
Aimei Lin

The wind speed sequences at different spatial positions have a certain spatiotemporal coupling relationship. It is of great significance to analyze the clustering effect of the wind farm(s) and reduce the adverse impact of large-scale wind power integration if we can grasp this relationship at multiple scales. At present, the physical method cannot optimize the time-shifting characteristics in real time, and the research scope is concentrated on the wind farm. The statistical method cannot quantitatively describe the temporal relationship and the speed variation among wind speed sequences at different spatial positions. To solve the above problems, a quantification method of wind speed time-shifting characteristics based on wind process is proposed in this paper. Two evaluation indexes, the delay time and the decay speed, are presented to quantify the time-shifting characteristics. The effectiveness of the proposed method is verified from the perspective of the correlation between wind speed sequences. The time-shifting characteristics of wind speed sequences under the wind farms scale and the wind turbines scale are studied, respectively. The results show that the proposed evaluation method can effectively achieve the quantitative analysis of time-shifting and could improve the results continuously according to the actual wind conditions. Besides, it is suitable for any spatial scale. The calculation results can be directly applied to the wind power system to help obtain the more accurate output of the wind farm.


2011 ◽  
Vol 383-390 ◽  
pp. 7569-7575
Author(s):  
Bo Yang ◽  
Guang Zeng ◽  
Yan Ru Zhong

A voltage control strategy of the converter inverter-stage is proposed for the variable speed direct drive wind power system which consists with the two stage matrix converter (TSMC) and the permanent magnet synchronous generator (PMSG). In this control strategy, the inverter-stage voltage is controlled by the adjusted of inverter-stage modulation ratio M. For two cases, which is strong wind speed and weak wind speed, the ways that is decrease M and increase M are used and obtain the wide wind speed capture range. The resulted of simulation and experiment show that this way can make the voltage stabled. The performance of the converter implement this control strategy is still as same as the dual PWM converter and the wind power system preserve the feature of the wide wind speed capture range. So this way is effective and feasible to some extent.


2021 ◽  
Author(s):  
Xichao Gao ◽  
Zhiyong Yang ◽  
Dawei Han ◽  
Kai Gao ◽  
Qian Zhu

Abstract. Wind drift has a significant influence on the rainfall-runoff relationship in urban high-rise building areas since the oblique rainfall caused by the wind drift can interact with the building walls. However, the impact of the rainfall inclination angle on the rainfall-runoff process in urban high-rise building areas has not been studied. In this study, the relationship between wind and the rainfall-runoff process in such areas was explored. A theoretical framework was developed to describe their relationship, including a computational fluid dynamics (CFD) method to obtain the relationship between wind speed and rainfall inclination and a newly derived equation to describe the relationship between rainfall inclination and the runoff coefficient. Subsequently, a laboratory scale model experiment was conducted to verify the proposed framework. The main results are that (1) the runoff coefficient calculated by the proposed theoretical framework is highly consistent with that obtained from the laboratory experiment; (2) the runoff coefficient of urban high-rise building areas increases with wind speed; (3) the change of the runoff coefficient for the experiment with larger raindrop is 0.047 when the wind speed increases from 0 to 5.9 m/s while that for the experiment with smaller raindrop is 0.064, which means that the rainfall with larger droplets is less influenced by the wind.


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