Energy Modeling of Wearable Intelligent Batteryless Health Monitoring System with Thermal-Vibrational Hybrid Harvester

Download

Molly Sharone Thesis Metu open access.pdf

Date

2021-9-18

Author

Sharone, Molly

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

392
views

197
downloads

A unified model is developed in this thesis with a thermal-vibrational hybrid energy harvester and a wearable intelligent batteryless health monitoring system for accurate prediction of energy flow from generation to consumption. Analytical models are developed first based on environmental conditions, energy conversion parameters, geometry, and datasheet specifications. Data from literature is utilized from multiple energy harvesters, interface electronics, the intelligent sensor nodes and monitored patients to tune correlation factors for model accuracy. The resulting system level framework, named HeMeS, effectively enables the development of wearable batteryless sensor systems across a large design space by investigating tradeoffs among operation conditions, processing and transmission performance, size, and cost. Multiple threads of analysis have been successfully showcased using HeMeS to demonstrate convergence to an optimized autonomous (batteryless) system design with hybrid thermal and vibrational energy harvesting under a variety of environment, cost, size and patient constraints applicable to different health monitoring WBAN nodes.

Subject Keywords

Piezoelectric harvesting, Energy harvesting, thermoelectric generation, energy harvesting system models, WBAN power system modeling.

URI

https://hdl.handle.net/11511/94266

Collections

Northern Cyprus Campus, Thesis

Suggestions

OpenMETU
Core

Optimization of AA-Battery Sized Electromagnetic Energy Harvesters: Reducing the Resonance Frequency Using a Non-Magnetic Inertial Mass Yasar, Oguz; Ulusan, Hasan; Zorlu, Ozge; Sardan-Sukas, Ozlem; Külah, Haluk (2018-06-01) This paper presents an optimization study for a miniature electromagnetic energy harvester, by incorporating a non-magnetic inertial mass (tungsten) along with the axially oriented moving magnets. The aim is to decrease the operation frequency and increase the output power of the harvester with the usage of higher density material and larger magnetic flux density. Dimensions of the magnets are optimized according to the harvester dimensions and magnetic flux gradients. Additionally, coil length, width, resi...
Energy Harvesting Through Lumped Elements Located on Metamaterial Absorber Particles Gunduz, Ozan T.; Sabah, Cumali (2015-09-09) We propose and examine an enhanced version of a multi-band metamaterial absorber for an energy harvesting application. The numerical results of the multi-band absorption characteristics of no-load conditions are presented and compared with the loading conditions. At most % 50 of the incoming wave energy whose correspondence is 0.25 Watt is converted to real power at the resistive loads at 5.88 GHz by the usage of 2000 ohms loads. In order to evaluate the harvesting efficiency, three different types of effic...
Perfect metamaterial absorber-based energy harvesting and sensor applications in the industrial, scientific, and medical band Bakir, Mehmet; KARAASLAN, MUHARREM; Dincer, Furkan; DELİHACIOĞLU, KEMAL; Sabah, Cumali (2015-09-01) An electromagnetic (EM) energy harvesting application based on metamaterials is introduced. This application is operating at the the industrial, scientific, and medical band (2.40 GHz), which is especially chosen because of its wide usage area. A square ring resonator (SRR) which has two gaps and two resistors across the gaps on it is used. Chip resistors are used to deliver the power to any active component that requires power. Transmission and reflection characteristics of the metamaterial absorber for en...
Energy Harvesting from Piezoelectric Stacks Using Impacting Beam Ozpak, Yigit; Aykan, Murat; Çalışkan, Mehmet (2015-02-05) Piezoelectric materials can be used for energy harvesting from ambient vibration due to their high power density and ease of application. Two basic methods, namely, tuning the natural frequency to the operational frequency and increasing the operation bandwidth of the harvester are commonly employed to maximize the energy harvested from piezoelectric materials. Majority of the studies performed in recent years focus mostly on tuning the natural frequency of the harvester. However, small deviations in operat...
Energy-exergy and economic analyses of a hybrid solar-hydrogen renewable energy system in Ankara, Turkey ÖZDEN, Ender; Tarı, İlker (Elsevier BV, 2016-04-25) A hybrid (Solar-Hydrogen) stand-alone renewable energy system that consists of photovoltaic panels (PV), Proton Exchange Membrane (PEM) fuel cells, PEM based electrolyzers and hydrogen storage is investigated by developing a complete model of the system using TRNSYS. The PV panels are mounted on a tiltable platform to improve the performance of the system by monthly adjustments of the tilt angle. The total area of the PV panels is 300 m(2), the PEM fuel cell capacity is 5 kW, and the hydrogen storage is at ...

Citation Formats

M. Sharone, “Energy Modeling of Wearable Intelligent Batteryless Health Monitoring System with Thermal-Vibrational Hybrid Harvester,” M.S. - Master of Science, Middle East Technical University, 2021.