A Survey of Energy Harvesting Technologies

Dixit, Nitesh Kumar; Rangra, Kamaljit

doi:10.1109/iciccis.2017.8660812

Cited by 5 publications

(4 citation statements)

References 65 publications

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“…When sunlight reaches the PV panel with size A s and efficiency η, the solar irradiance I is converted to electrical power P out . This process can be expressed in (5). In [22], there is a wide range of efficiency from 7.1% to 47.1% depending on PV types.…”

Section: Solar Irradiance and Solar Charging Modelsmentioning

confidence: 99%

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Optimal Data Transfer of SEH-WSN Node via MDP Based on Duty Cycle and Battery Energy

2021

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Applications in wireless sensor networks (WSNs) are rapidly spreading out over the world. The one critical point of WSNs is energy consumption, where the transmitted data is limited by battery energy. Solar energy is used to handle the depletion of the battery energy via photo voltaic (PV) panels. A solar energy harvesting WSN (SEH-WSN) node utilizes exponential decision-dynamic duty cycle scheduling based on prospective increase in energy (ED-DSP) to save battery energy by adjusting the duty cycle from an exponential curve and future solar energy. To estimate the prospective solar energy, a prediction technique is applied, but does not guarantee 100% accuracy. Hence, this paper proposes a Markov Decision Process (MDP) to schedule a duty cycle of an SEH-WSN node instead of the ED-DSP depending on the predicted energy. We evaluate its performance via MATLAB simulations with simple irradiance models and real annual irradiance data. The results show that the MDP policy outperforms the ED-DSP.

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Section: Solar Irradiance and Solar Charging Modelsmentioning

confidence: 99%

“…These energies can be applied to WSNs, where these become energy harvesting WSNs (EH-WSNs). Of all the methods currently available, solar energy has the highest potential in terms of harvesting energy (mW/cm 3 )(µW/cm 3 ) [5]. Hence, this article will only focus on an SEH-WSN scheme.…”

Section: Introductionmentioning

confidence: 99%

Optimal Data Transfer of SEH-WSN Node via MDP Based on Duty Cycle and Battery Energy

2021

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“…According to Faraday's Law of Electromagnetic (EM) Induction, an electric voltage is generated by any conductor that moves towards a magnetic field. EM-based approaches use Faraday's Law of EM induction [157]. Wireless power transfer (WPT) is being accomplished using RF over long-ranges.…”

Section: Em-based Approachmentioning

confidence: 99%

“…In [163], authors have developed EM harvesters, which have an energy conversion efficiency of 65 % and generate power of 22.5 µW at 10 Hz. Another study [157] developed a 4.5 × 4.5 × 1 mm 3 EM harvester, which delivers 20.9 µV. Byung et al [164] developed a self-powered system consisting of a permanent magnet, a planar spring and a copper coil.…”

Section: Em-based Approachmentioning

confidence: 99%

On-Site and External Energy Harvesting in Underground Wireless

Raza

Salam

2020

Electronics

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Energy efficiency is vital for uninterrupted long-term operation of wireless underground communication nodes in the field of decision agriculture. In this paper, energy harvesting and wireless power transfer techniques are discussed with applications in underground wireless communications (UWC). Various external wireless power transfer techniques are explored. Moreover, key energy harvesting technologies are presented that utilize available energy sources in the field such as vibration, solar, and wind. In this regard, the Electromagnetic (EM)- and Magnetic Induction (MI)-based approaches are explained. Furthermore, the vibration-based energy harvesting models are reviewed as well. These energy harvesting approaches lead to design of an efficient wireless underground communication system to power underground nodes for prolonged field operation in decision agriculture.

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