Micro/Nano- Scale Energy Harvester

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A:Physics".

Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 6313

Special Issue Editor


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Guest Editor
School of Computing, Electronics and Maths, Coventry University, Coventry CV1 5FB GB, UK
Interests: energy harvesting and its applications; renewable energy; smart grid; EV

Special Issue Information

Dear Colleagues,

Interest in energy-harvesting technology has been rapidly growing over the past decade, due mainly to the increased demand and requirements regarding the use of sustainable power supplies in emerging technologies such as healthcare, embedded sensors, medicines, portable electronics, IoT, etc. However, the powering of such electronic devices is almost exclusively provided by batteries. Due to their limited lifetime, batteries have to be replaced sooner or later, or recharged to ensure a constant power supply to those devices. Most people do not realize that there is an abundance of energy all around us at all times. Radio and television transmissions, human body motion, temperature gradients, and vibration of household devices are all sources of energy that could be utilized. The motivation behind energy harvesting is to convert this ambient wasted energy into usable electrical energy. Sources of ambient energy which could be scavenged include solar energy; thermal energy; radiated electromagnetic energy based on photoelectric, electromagnetic, piezoelectric, pyroelectric and triboelectric effects, etc.; and mechanical vibrations that occur through walking, body movements, pulses, etc.

For this Special Issue of Micromachines, designers, engineers, and scientists are invited to contribute manuscripts that address novel ideas in micro/nanodevice principles and structures, development, and applications of energy-harvesting technology with, but not limited to, the following topics:

  • Novel energy-harvesting principles and device structure designs
  • Energy harvesting for powering the wearable/implantable electronics and robotics
  • Energy harvesting for water industry and sewage pipe inspection
  • AI and simulation tools and techniques to characterize the performance of energy-harvesting devices and associated electronics
  • Development of energy storage and power management circuitry.

Dr. Chitta Saha
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • micro/nano energy harvesting
  • wearable electronics and sensors
  • AI
  • battery storage and power management

Published Papers (2 papers)

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Research

16 pages, 4478 KiB  
Article
Self-Sustained Autonomous Wireless Sensor Network with Integrated Solar Photovoltaic System for Internet of Smart Home-Building (IoSHB) Applications
by Md. Rokonuzzaman, Mahmuda Khatun Mishu, Nowshad Amin, Mithulananthan Nadarajah, Rajib Baran Roy, Kazi Sajedur Rahman, Adamu Muhammad Buhari, Shuza Binzaid, Mohammad Shakeri and Jagadeesh Pasupuleti
Micromachines 2021, 12(6), 653; https://doi.org/10.3390/mi12060653 - 02 Jun 2021
Cited by 23 | Viewed by 3788
Abstract
Conventional wireless sensor networks (WSNs) in smart home-building (SHB) are typically driven by batteries, limiting their lifespan and the maximum number of deployable units. To satisfy the energy demand for the next generation of SHB which can interconnect WSNs to make the internet [...] Read more.
Conventional wireless sensor networks (WSNs) in smart home-building (SHB) are typically driven by batteries, limiting their lifespan and the maximum number of deployable units. To satisfy the energy demand for the next generation of SHB which can interconnect WSNs to make the internet of smart home-building (IoSHB), this study introduces the design and implementation of a 250 mW to 2.3 W energy harvesting device. The proposed device is dynamically autonomous owing to the integration of embedded solar photovoltaic (PV) modules and power storage through a supercapacitor (SC; 5 V, 0.47 F) capable of powering WSNs for 95 s (up to 4.11 V). The deployed device can harvest indoor and outdoor ambient light at a minimum illumination of 50 lux and a maximum illumination of 200 lux. Moreover, the proposed system supports wireless fidelity (Wi-Fi) and Bluetooth Low Energy (BLE) to do data transfer to a webserver as a complete internet of things (IoT) device. A customized android dashboard is further developed for data monitoring on a smartphone. All in all, this self-powered WSN node can interface with the users of the SHBs for displaying ambient data, which demonstrates its promising applicability and stability. Full article
(This article belongs to the Special Issue Micro/Nano- Scale Energy Harvester)
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10 pages, 1194 KiB  
Article
Mobile In-Ear Power Sensor for Jaw Joint Activity
by Jacob Bouchard-Roy, Aidin Delnavaz and Jérémie Voix
Micromachines 2020, 11(12), 1047; https://doi.org/10.3390/mi11121047 - 27 Nov 2020
Viewed by 2049
Abstract
In only a short time, in-ear wearables have gone from hearing aids to a host of electronic devices such as wireless earbuds and digital earplugs. To operate, these devices rely exclusively on batteries, which are not only cumbersome but known for several drawbacks. [...] Read more.
In only a short time, in-ear wearables have gone from hearing aids to a host of electronic devices such as wireless earbuds and digital earplugs. To operate, these devices rely exclusively on batteries, which are not only cumbersome but known for several drawbacks. In this paper, the earcanal dynamic movements generated by jaw activity are evaluated as an alternative source of energy that could replace batteries. A mobile in-ear power sensor device capable of measuring jaw activity metrics is prototyped and tested on three test subjects. The test results are subsequently analyzed using a detection algorithm to detect the jaw activity based on the captured audio signals and to classify them into four main categories, namely chewing, swallowing, coughing and talking. The mean power associated with each category of activity is then calculated by using the pressure signals as measured by a water-inflated earplug subjected to earcanal dynamic movement. The results show that 3.8 mW of power, achieved mainly by the chewing movement, is readily available on average from within the earcanal. Full article
(This article belongs to the Special Issue Micro/Nano- Scale Energy Harvester)
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