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Enablement of Batteryless Applications with Energy Harvesting

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (20 January 2022) | Viewed by 4524

Special Issue Editor


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Guest Editor
School of Electrical Engineering, Korea University, Seoul 02841, Korea
Interests: energy harvesting; power management ICs; LiDAR and ToF sensors; circuits for automotive and renewable applications

Special Issue Information

Dear Colleagues,

Energy harvesting converts a small amount of available energy in the environment into usable electrical energy. Whether or not the harvested energy is large enough to operate a system by itself, an efficient energy harvesting circuit allows for extending the lifetime of a battery and reduces the operation and management cost required for replacing a battery. In addition, energy harvesting can be a crucial power source when a system is designed for ultra-low power applications. We are interested in articles that achieve state-of-the-art performances either in increasing harvesting efficiency or in lowering the energy requirements of a system. Potential topics include, but are not limited to, the following:

- Enhancing the conversion efficiency of various energy sources;

- Circuit techniques that enable a conventional battery-powered system to be a batteryless one;

- Low-cost small-size batteryless IoT systems.

Prof. Dr. Yong Sin Kim
Guest Editor

Manuscript Submission Information

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Keywords

  • energy harvesting
  • circuit
  • batteryless
  • efficient
  • IoT
  • low-power

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Published Papers (2 papers)

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Research

16 pages, 8148 KiB  
Article
Intermittent FOCV Using an I-V Curve Tracer for Minimizing Energy Loss
by Yun Chan Im, Seung Soo Kwak, Jonghyun Park and Yong Sin Kim
Appl. Sci. 2021, 11(19), 9006; https://doi.org/10.3390/app11199006 - 27 Sep 2021
Cited by 3 | Viewed by 1941
Abstract
Conventional fractional open-circuit voltage (FOCV) methods in maximum power point tracking (MPPT) are widely adopted for their simple structure and low computing power requirements. However, under mismatch and environmental changing conditions, the FOCV methods introduce a large amount of energy loss due to [...] Read more.
Conventional fractional open-circuit voltage (FOCV) methods in maximum power point tracking (MPPT) are widely adopted for their simple structure and low computing power requirements. However, under mismatch and environmental changing conditions, the FOCV methods introduce a large amount of energy loss due to their maximum power point being fixed at the initial setup. To reduce energy loss, the intermittent FOCV MPPT proposed in this paper regularly refreshes all the parameters for each condition in time by using an I-V curve tracer. The proposed intermittent FOCV consists of two phases: the scan and set phases. In scan phase, the I-V curve of a photovoltaic (PV) cell is scanned and its power is calculated. In set phase, the global MPP of the PV cell is extracted and set by controlling the 8-bit capacitance array. Simulation and calculation based on experimental results with a single PV cell show that the energy loss of the proposed intermittent FOCV under daily temperature and illuminance distributions decreased by up to 99.9% compared to that of the conventional FOCV. Full article
(This article belongs to the Special Issue Enablement of Batteryless Applications with Energy Harvesting)
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16 pages, 6827 KiB  
Article
Long-Lifetime Event-Driven Wireless Monitoring System for Pole-Mounted Transformers
by Seung Soo Kwak, Yun Chan Im and Yong Sin Kim
Appl. Sci. 2021, 11(16), 7313; https://doi.org/10.3390/app11167313 - 9 Aug 2021
Cited by 2 | Viewed by 1953
Abstract
As smart grids develop rapidly, low-cost monitoring systems for pole-mounted transformers increase in demand. Even though battery-powered wireless monitoring systems appear to provide optimal solutions, they consume large amounts of energy for continuous sampling and data transmission. Operation and maintenance costs then increase [...] Read more.
As smart grids develop rapidly, low-cost monitoring systems for pole-mounted transformers increase in demand. Even though battery-powered wireless monitoring systems appear to provide optimal solutions, they consume large amounts of energy for continuous sampling and data transmission. Operation and maintenance costs then increase owing to reduced battery lifetime and battery replacement. To overcome this problem, this paper presents an event-driven battery-powered wireless monitoring system that monitors abnormalities of a transformer and transmits data only if an abnormality occurs. When the proposed event controller detects an abnormality, it enables a root mean square (RMS) converter and a peak detector for sampling and transmitting the maximum RMS value of the abnormal signal and then falls into sleep mode until the next event to save energy. Simulation and experimental results show that the proposed system enhances battery lifetime by up to two orders of magnitude compared to a conventional battery-powered wireless monitoring system. Full article
(This article belongs to the Special Issue Enablement of Batteryless Applications with Energy Harvesting)
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