Breeze energy is a widely distributed renewable energy source in the natural world, but its efficient exploitation is very difficult. The conventional harvester with fixed arm length (HFA) has a relatively high start-up wind speed owing to its high and constant rotational inertia. Therefore, this paper proposes a harvester with a helix s-type vertical axis (HSVA) for achieving random energy capture in the natural breeze environment. The HSVA is constructed with two semi-circular buckets driven by the difference of the drag exerted, and the wind energy is transferred into mechanical energy. Firstly, as the wind speed changes, the HSVA harvester can match the random breeze to obtain highly efficient power. Compared with the HFA harvester, the power coefficient is significantly improved from 0.15 to 0.2 without additional equipment. Furthermore, it has more time for energy attenuation as the wind speeds dropped from strong to moderate. Moreover, the starting torque is also better than that of HFA harvester. Experiments showed that the HSVA harvester can improve power performance on the grounds of the wind speed ranging in 0.8–10.1 m/s, and that the star-up wind speed is 0.8 m/s and output peak power can reach 17.1 mW. In comparison with the HFA harvester, the HSVA harvester can obtain higher efficient power, requires lower startup speed and keeps energy longer under the same time. Additionally, as a distributed energy source, the HSVA harvester can provide a self-generating power supply to electronic sensors for monitoring the surrounding environment.

More from our Archive

• DOI: 10.3390/en16155682 2023

  Summary of Health-State Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy

  Xinwei Sun, Yang Zhang, Yongcheng Zhang, Licheng Wang, Kai Wang

• DOI: 10.3390/en16155809 2023

  Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System

  Ping Ma, Shuhui Cui, Mingshuai Chen, Shengzhe Zhou, Kai Wang

• DOI: 10.3390/s23156949 2023

  Visual Intelligence in Precision Agriculture: Exploring Plant Disease Detection via Efficient Vision Transformers

  Sana Parez, Naqqash Dilshad, Norah Saleh Alghamdi, Turki M. Alanazi, Jong Weon Lee

• DOI: 10.3390/s23156762 2023

  HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications

  Aitizaz Ali, Bander Ali Saleh Al-rimy, Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Abdulaleem Ali Almazroi

• DOI: 10.3390/machines11080774 2023

  Sustainable Crop Protection via Robotics and Artificial Intelligence Solutions

  Vasiliki Balaska, Zoe Adamidou, Zisis Vryzas, Antonios Gasteratos

• DOI: 10.3390/mi14071480 2023

  A Review of the Residual Stress Generation in Metal Additive Manufacturing: Analysis of Cause, Measurement, Effects, and Prevention

  Nabin Bastola, Muhammad P. Jahan, Nithin Rangasamy, Chandra Sekhar Rakurty

• DOI: 10.3390/electronics12143155 2023

  In-Memory Computing Integrated Structure Circuit Based on Nonvolatile Flash Memory Unit

  Peilong Xu, Dan Lan, Fengyun Wang, Incheol Shin

• DOI: 10.3390/s23146507 2023

  CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks

  Basim Alabsi, Mohammed Anbar, Shaza Rihan

• DOI: 10.1039/d3mh00882g 2023

  Defect-stabilized and oxygen-coordinated iron single-atom sites facilitate hydrogen peroxide electrosynthesis

  Taotao Gao, Lu Qiu, Minghao Xie, Zhaoyu Jin, Panpan Li, Guihua Yu

• DOI: 10.3390/electronics12153300 2023

  Anomaly Detection in 6G Networks Using Machine Learning Methods

  Mamoon M. Saeed, Rashid A. Saeed, Maha Abdelhaq, Raed Alsaqour, Mohammad Kamrul Hasan, Rania A. Mokhtar