Human Body Energy Harvesting Thermogenerator for Sensing Applications

Mateu,; Codrea,; Lucas,; Pollak,; Spies, François

doi:10.1109/sensorcomm.2007.4394949

Cited by 55 publications

(44 citation statements)

References 5 publications

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“…It will use to supply the remaining energy into storage like a capacitor or a battery. Mateu et al (2007) reported that the TEG utilizing heat from human hand have a maximum current of 18 mA with voltage range generated from 150-250 mV. While for human hand vibration capable to harvest 24 mW maximum power with an output voltage of 3 V from low ambient source of 0.5 V (Rahaman et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Architecture of Ultra-Low-Power Micro Energy Harvester Using Hybrid Input for Biomedical Devices

Semsudin

Sampe

Islam

et al. 2015

Asian J. of Scientific Research

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This research work presents an Ultra-Low-Power (ULP) Hybrid Micro Energy Harvester (HMEH) for biomedical application. This architecture uses the inputs of Thermoelectric Generator (TEG) and body vibration. TEG is based on temperature gradient between the ambient environment and human body. While vibration is based on the vibrate sources like motor that is able to generate an AC voltage. Having two sources overcome the issue of limitation caused by single source harvester but will result in impedance mismatching among the desired sources. The proposed of HMEH architecture consists of a control manager with Asynchronous Finite State Machine (AFSM) to grab the proper input value, a rectification to convert vibration input from AC to DC, a start-up to initialize the desired input, a Maximum Power Point Tracking (MPPT) to achieve maximum power extraction, a boost converter to boost up the input voltage, energy storage to keep the energy and voltage regulator to fix or produce the desired output voltage. A single power management circuit is used to reduce the number of components used and power losses. The HMEH will be modeled, designed and simulated using PSPICE software and then implement in 0.13 µm CMOS technology. Next, the developed HMEH will be coding using Verilog Hardware Description Language (VHDL) under mentor graphics and then download to Field Programmable Gate Array (FPGA) for real time implementation. The expectation from this ULP HMEH is to achieve 2.0-4.0 V of regulated voltage output from input sources range of 80-600 mV at start-up with an efficiency of 93%.

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Section: Methodsmentioning

confidence: 99%

Architecture of Ultra-Low-Power Micro Energy Harvester Using Hybrid Input for Biomedical Devices

Semsudin

Sampe

Islam

et al. 2015

Asian J. of Scientific Research

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“…The primary objective of developing IEEE 802.11-based sensing applications is the compatibility with current networks and infrastructures. The utilisation of the body heat was proposed in [20]. Any application that uses human body heat will work well as long as the external temperature is significantly below the temperature of the standard body, i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Energy Conservation in Wireless Sensor Network Using Energy Harvesting System

Rashid¹,

Khan²,

Gul³

et al. 2018

ijacsa

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Abstract-Wireless Sensor Networks assume an imperative part to monitor and gather information from complex geological ranges. Energy conservation plays a fundamental role in WSNs since such sensor networks are designed to be located in dangerous and non-accessible areas and has gained popularity since the last decade. The main issue of Wireless Sensor Network is energy consumption. Therefore, management of energy consumption of the sensor node is the main area of our research. Sensor nodes use non-changeable batteries for power supply and the lifetime of Sensor node greatly depends on these batteries. The replacement of these batteries is very difficult in many applications, such as an alternative solution to this problem is to use Energy Harvesting system in Wireless Sensor Network to provide a permanent power supply to sensor nodes. This process of extracting energies from nature and converting it into electrical energy is called energy harvesting. Energy can be harvested from the environment for sensor nodes. There are many sources of energies in nature like solar, wind and thermal which can be harvested and used for WSNs. In this research, we suggest to use energy harvesting system for Cluster Heads in a clustering based Wireless Sensor Networks. We will compare our proposed technique to a well-known clustering algorithm Low Energy Adaptive Cluster Hierarchy (LEACH).

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“…There are solutions already reported, operating from extremely low voltages about tens of mV resulting from very small temperature gradients, equaling to single Celsius degrees. In fact, some presented prototypes could be supplied from energy easily available even from human body heat, for example a sensor application (Mateu et al, 2007) and wristwatch (Kotanagi et al, 1999).…”

Section: Fulfilment Of the New Paradigm Internet Of Thingsmentioning

confidence: 99%

Modeling and Simulation of Thermoelectric Energy Harvesting Processes

Dziurdzia¹

2011

Sustainable Energy Harvesting Technologies - Past, Present and Future

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Human Body Energy Harvesting Thermogenerator for Sensing Applications

Cited by 55 publications

References 5 publications

Architecture of Ultra-Low-Power Micro Energy Harvester Using Hybrid Input for Biomedical Devices

Architecture of Ultra-Low-Power Micro Energy Harvester Using Hybrid Input for Biomedical Devices

Improving Energy Conservation in Wireless Sensor Network Using Energy Harvesting System

Modeling and Simulation of Thermoelectric Energy Harvesting Processes

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