Simulation of Photovoltaic Cells for Implantable Sensory Applications

Jinwei Zhao; Rami Ghannam; Qammer H. Abbasi; Muhammad Imran; Hadi Heidari

doi:10.1109/ICSENS.2018.8589840

Simulation of Photovoltaic Cells for Implantable Sensory Applications

Jinwei Zhao
, Rami Ghannam
, Qammer H. Abbasi
, Muhammad Imran
, Hadi Heidari

University of Glasgow

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Wireless biomedical implantable devices provide a variety of applications based on identification, health, and safety of mankind. Power harvesting and power generation methods through human tissues are still looming challenges because of low efficiency and energy instability. The minimum tissue loss at the optical transparency windows of 650 nm-1350 nm. Photovoltaic cells can be effectively used to provide the necessary power for these implantable devices. However, there have been no previous investigations into the optimum dimensions nor properties of these solar cells. In this case, we show an accurate multi-physics simulation of the performance of photovoltaic cells for implantable devices under the skin. A combination of semiconductor and optical simulations are developed in order to analyse the electro-optic behaviour of these cells. In addition, the efficiencies of 8.97 % and 0.26 % were evaluated under air and air-skin multilayer respectively.

Original language	English
Title of host publication	2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538647073
DOIs	https://doi.org/10.1109/ICSENS.2018.8589840
State	Published - 26 Dec 2018
Externally published	Yes
Event	17th IEEE SENSORS Conference, SENSORS 2018 - New Delhi, India Duration: 28 Oct 2018 → 31 Oct 2018

Publication series

Name	Proceedings of IEEE Sensors
Volume	2018-October
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	17th IEEE SENSORS Conference, SENSORS 2018
Country/Territory	India
City	New Delhi
Period	28/10/18 → 31/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Finite element method
Photovoltaic cell
Power harvesting
implantable

Access to Document

10.1109/ICSENS.2018.8589840

Cite this

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title = "Simulation of Photovoltaic Cells for Implantable Sensory Applications",

abstract = "Wireless biomedical implantable devices provide a variety of applications based on identification, health, and safety of mankind. Power harvesting and power generation methods through human tissues are still looming challenges because of low efficiency and energy instability. The minimum tissue loss at the optical transparency windows of 650 nm-1350 nm. Photovoltaic cells can be effectively used to provide the necessary power for these implantable devices. However, there have been no previous investigations into the optimum dimensions nor properties of these solar cells. In this case, we show an accurate multi-physics simulation of the performance of photovoltaic cells for implantable devices under the skin. A combination of semiconductor and optical simulations are developed in order to analyse the electro-optic behaviour of these cells. In addition, the efficiencies of 8.97 \% and 0.26 \% were evaluated under air and air-skin multilayer respectively.",

keywords = "Finite element method, Photovoltaic cell, Power harvesting, implantable",

author = "Jinwei Zhao and Rami Ghannam and Abbasi, \{Qammer H.\} and Muhammad Imran and Hadi Heidari",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 17th IEEE SENSORS Conference, SENSORS 2018 ; Conference date: 28-10-2018 Through 31-10-2018",

year = "2018",

month = dec,

day = "26",

doi = "10.1109/ICSENS.2018.8589840",

language = "English",

series = "Proceedings of IEEE Sensors",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings",

address = "United States",

}

Zhao, J, Ghannam, R, Abbasi, QH, Imran, M & Heidari, H 2018, Simulation of Photovoltaic Cells for Implantable Sensory Applications. in 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings., 8589840, Proceedings of IEEE Sensors, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., 17th IEEE SENSORS Conference, SENSORS 2018, New Delhi, India, 28/10/18. https://doi.org/10.1109/ICSENS.2018.8589840

Simulation of Photovoltaic Cells for Implantable Sensory Applications. / Zhao, Jinwei; Ghannam, Rami; Abbasi, Qammer H. et al.
2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8589840 (Proceedings of IEEE Sensors; Vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Simulation of Photovoltaic Cells for Implantable Sensory Applications

AU - Zhao, Jinwei

AU - Ghannam, Rami

AU - Abbasi, Qammer H.

AU - Imran, Muhammad

AU - Heidari, Hadi

PY - 2018/12/26

Y1 - 2018/12/26

N2 - Wireless biomedical implantable devices provide a variety of applications based on identification, health, and safety of mankind. Power harvesting and power generation methods through human tissues are still looming challenges because of low efficiency and energy instability. The minimum tissue loss at the optical transparency windows of 650 nm-1350 nm. Photovoltaic cells can be effectively used to provide the necessary power for these implantable devices. However, there have been no previous investigations into the optimum dimensions nor properties of these solar cells. In this case, we show an accurate multi-physics simulation of the performance of photovoltaic cells for implantable devices under the skin. A combination of semiconductor and optical simulations are developed in order to analyse the electro-optic behaviour of these cells. In addition, the efficiencies of 8.97 % and 0.26 % were evaluated under air and air-skin multilayer respectively.

AB - Wireless biomedical implantable devices provide a variety of applications based on identification, health, and safety of mankind. Power harvesting and power generation methods through human tissues are still looming challenges because of low efficiency and energy instability. The minimum tissue loss at the optical transparency windows of 650 nm-1350 nm. Photovoltaic cells can be effectively used to provide the necessary power for these implantable devices. However, there have been no previous investigations into the optimum dimensions nor properties of these solar cells. In this case, we show an accurate multi-physics simulation of the performance of photovoltaic cells for implantable devices under the skin. A combination of semiconductor and optical simulations are developed in order to analyse the electro-optic behaviour of these cells. In addition, the efficiencies of 8.97 % and 0.26 % were evaluated under air and air-skin multilayer respectively.

KW - Finite element method

KW - Photovoltaic cell

KW - Power harvesting

KW - implantable

UR - https://www.scopus.com/pages/publications/85060893469

U2 - 10.1109/ICSENS.2018.8589840

DO - 10.1109/ICSENS.2018.8589840

M3 - Conference contribution

AN - SCOPUS:85060893469

T3 - Proceedings of IEEE Sensors

BT - 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE SENSORS Conference, SENSORS 2018

Y2 - 28 October 2018 through 31 October 2018

ER -

Simulation of Photovoltaic Cells for Implantable Sensory Applications

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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