Emerging Technologies for Energy Harvesting and Energy Storage System
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A：Physics".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 488
Special Issue Editors
Interests: energy storage; renewable energy; smart grid; power electronics; electric vehicle
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Energy harvesting from ambient energy sources, such as solar, wind, thermal, sound, vibration and solid waste, is popular nowadays due to the increasing demand for power. These sources have the potential to produce micro- to milliwatts of power depending on the ambient conditions. Micro-level energy harvesting is dependent on the powering of ultra-low-power devices in remote areas by the researchers and developers in the field. Energy harvesting using a piezoelectric transducer in ambient vibrations has attracted a considerable amount of interest over in recent years. A piezoelectric transducer can be used as a means of transforming ambient vibrations to electrical energy that can be stored and used to supply power to electronic devices, such as the Internet of Things (IoT) and wireless sensor networks (WSNs).
Alternatively, the intermittency of renewable energy sources has resulted in technical and operational challenges to electrical energy systems. Energy storage technologies as promising solutions address these concerns, which can stabilize power supplies and minimize energy-peak demands. An energy storage system (ESS) takes advantage of controlling power fluctuations according to the stochastic and intermittent nature of renewable energy sources. The recent advances in integrated energy systems, power electronics, control algorithms and efficient energy management schemes can contribute to substantially enhancing the performance of ESSs. Moreover, ESS methods, algorithms, sizing, placement, scheduling and energy management can be investigated in terms of emerging technologies, as well as the current approaches and challenges. In addition, the application of deep learning and optimization to improve the performance of ESSs can be examined. The current Special Issue invites submissions of original research or reviews from researchers, scientists and students from relevant industries, universities and research institutes all over the world. Both original research articles and reviews are welcome for submission. The topics of interest include (but are not limited to) the following areas:
- Low-power micro-energy-harvesting system;
- Energy harvesting for self-powered sensors;
- Energy harvesting for low-cost IoT sensors;
- ESS management, control and optimization;
- Techno-economic and power electronics integration in ESSs;
- ESS sizing, scheduling and placement;
- Deep learning and IoT applied to ESSs.
We look forward to receiving your contributions.
Dr. Molla Shahadat Hossain Lipu
Dr. Md. Mahidur Rahman Sarker
Guest Editors
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Keywords
- micro-energy harvesters
- piezoelectric
- internet of things
- low-power sensors
- low-cost self-powered sensor
- control and optimization of ESSs
- sizing, scheduling and placement of ESSs
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