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Journal ArticleDOI

Storage-Less and Converter-Less Photovoltaic Energy Harvesting With Maximum Power Point Tracking for Internet of Things

TLDR
This paper pioneers a converter-less PV power system with the maximum power point tracking that directly supplies power to the load without the power converters or the energy storage element and achieves an 87.1% of overall system efficiency during a day.
Abstract
Energy harvesting from natural environment gives range of benefits for the Internet of things. Scavenging energy from photovoltaic (PV) cells is one of the most practical solutions in terms of power density among existing energy harvesting sources. PV power systems mandate the maximum power point tracking (MPPT) to scavenge the maximum possible solar energy. In general, a switching-mode power converter, an MPPT charger, controls the charging current to the energy storage element (a battery or equivalent), and the energy storage element provides power to the load device. The mismatch between the maximum power point (MPP) current and the load current is managed by the energy storage element. However, such architecture causes significant energy loss (typically over 20%) and a significant weight/volume and a high cost due to the cascaded power converters and the energy storage element. This paper pioneers a converter-less PV power system with the MPPT that directly supplies power to the load without the power converters or the energy storage element. The proposed system uses a nonvolatile microprocessor to enable an extremely fine-grain dynamic power management in a few hundred microseconds. This makes it possible to match the load current with the MPP current. We present detailed modeling, simulation, and optimization of the proposed energy harvesting system including the radio frequency transceiver. Experiments show that the proposed setup achieves an 87.1% of overall system efficiency during a day, 30.6% higher than the conventional MPPT methods in actual measurements, and thus a significantly higher duty cycle under a weak solar irradiance.

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Citations
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Journal ArticleDOI

Review of IoT applications in agro-industrial and environmental fields

TL;DR: The results from the review were compiled into an IoT architecture that represents a wide range of current solutions in agro-industrial and environmental fields that are motivated by the need to identify application areas, trends, architectures and open challenges in these two fields.
Journal ArticleDOI

An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications

TL;DR: The proposed system with solar energy harvesting demonstrates that long-term continuous medical monitoring based on WBAN is possible provided that the subject stays outside for a short period of time in a day.
Journal ArticleDOI

Towards a Green and Self-Powered Internet of Things Using Piezoelectric Energy Harvesting

TL;DR: This survey aims at providing a comprehensive study on energy harvesting techniques as alternative and promising solutions to power the IoT devices and specifically focuses on piezoelectric energy harvesting as one of the most promising solutions.
Journal ArticleDOI

Development of an Indoor Photovoltaic Energy Harvesting Module for Autonomous Sensors in Building Air Quality Applications

TL;DR: The newly established PV powering model, the power consumption requirements of an IoT node can be directly converted into the illumination requirements of the PV energy harvester, making the IPEHPM easy to use.
Proceedings ArticleDOI

Dynamic energy burst scaling for transiently powered systems

TL;DR: This work presents an efficient Energy Management Unit (EMU) to supply generic loads when the average harvested power is much smaller than required for sustained system operation, and proposes a dynamic energy burst scaling (DEBS) technique to adjust these bursts to the load's requirements.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Proceedings ArticleDOI

Everlast: long-life, supercapacitor-operated wireless sensor node

TL;DR: Experimental results show that Everlast can achieve low power consumption, long operational lifetime, and high transmission rates, something that traditional sensor nodes cannot achieve simultaneously and must trade-off.
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