Energy Harvesting Models and Techniques for Green IoT

Muzafar, Saira

doi:10.4018/978-1-7998-6709-8.ch005

Cited by 3 publications

(2 citation statements)

References 66 publications

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“…Energy exists in the environment in many different forms and can be harvested for use in low-power-demanding applications [53]. In [54], various latent energy sources in the environment are identified, such as chemical, mechanical, acoustic, solar, and radio frequency (RF). The harvesting of ambient energy coupled with the usage of rechargeable batteries for energy storage is beneficial for Wireless Sensor Network (WSN) operations, opines Dhananjaya [55].…”

Section: Figure 2 Main Components Of a Scada Systemmentioning

confidence: 99%

An Efficient LoRa-Enabled Smart Fault Detection and Monitoring Platform for the Power Distribution System Using Self-Powered IoT Devices

et al. 2022

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Transient stability and supply disturbances are common yet unwelcome phenomena in power distribution systems, particularly in sub-Saharan Africa. The growing demand for greater reliability and dependability in power delivery has aroused the interest of researchers and renewed the pursuit of advanced technological solutions for fault detection and location determination at medium and low-voltage levels. The length of the distribution network typically ranges from hundreds to thousands of kilometers. In this regard, the management of distribution networks, including the identification of faulty segments, is a significant recurrent challenge facing power-system operators. With the ever-expanding distribution network and regulatory demands for service reliability, the challenge for network operators is daunting. However, the deployment of IoT technologies in the energy distribution infrastructure would significantly accelerate the detection and location of faults, thus transforming the electricity delivery service into one that is responsive, communicative, attractive, and robust. This study proposes, designs, and implements a reasonably priced LoRaWAN-based IoT platform for monitoring distribution networks. The study was conducted in Nakuru County, Kenya on an actual and active distribution network owned and managed by Kenya Power Company. Experimental results showed that a trigger is generated at the network-monitoring center in about 100 msec of the occurrence of a fault on the distribution network, thus enabling quick, prompt, and immediate commencement of reparative action. Furthermore, practical evaluation has shown that this platform is well adapted for the context of developing countries where budgetary constraints and cost prohibitions hinder the upgrade of the legacy grid into fully-fledged smart entities.

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Section: Figure 2 Main Components Of a Scada Systemmentioning

confidence: 99%

An Efficient LoRa-Enabled Smart Fault Detection and Monitoring Platform for the Power Distribution System Using Self-Powered IoT Devices

et al. 2022

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“…In general, according to the literature review, one can find that researchers have placed lots of hopes on the energy harvesting technology for IoT applications. 61,62…”

Section: E Iot Applicationsmentioning

confidence: 99%

Perspectives in flow-induced vibration energy harvesting

Wang

Yurchenko

et al. 2021

Applied Physics Letters

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Flow-induced vibration (FIV) energy harvesting has attracted extensive research interest in the past two decades. Remarkable research achievements and contributions from different aspects are briefly overviewed. Example applications of FIV energy harvesting techniques in the development of Internet of Things are mentioned. The challenges and difficulties in this field are summarized from two sides. First, the multi-physics coupling problem in FIV energy harvesting still cannot be well handled. There is a lack of system-level theoretical modeling that can accurately account for fluid-structure interaction, the electromechanical coupling, and complicated interface circuits. Second, the robustness of FIV energy harvesters needs to be further improved to adapt to the uncertainties in practical scenarios. To be more specific, the cut-in wind speed is expected to be further reduced and the power output to be increased. Finally, Perspectives on the future development in this direction are discussed. Machine-learning approaches, the versatility of metamaterials, and more advanced interface circuits should receive more attention from researchers, since these cutting-edge techniques may have the potential to address the multi-physics modeling problem of FIV energy harvesters and significantly improve the operation performance. In addition, in-depth collaborations between researchers from different disciplines are anticipated to promote the FIV energy harvesting technology to step out of the lab and into real applications.

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Sustainability in Internet of Things: Insights and Scope

Sharma

2024

Lecture Notes in Networks and Systems

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Energy Harvesting Models and Techniques for Green IoT

Cited by 3 publications

References 66 publications

An Efficient LoRa-Enabled Smart Fault Detection and Monitoring Platform for the Power Distribution System Using Self-Powered IoT Devices

An Efficient LoRa-Enabled Smart Fault Detection and Monitoring Platform for the Power Distribution System Using Self-Powered IoT Devices

Perspectives in flow-induced vibration energy harvesting

Sustainability in Internet of Things: Insights and Scope

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