Search
2020 Volume 7
Article Contents
ARTICLE   Open Access    

Genetic-based optimization of a multi insulator tunneling diode for THz energy harvesting

More Information
  • Author Bio:
    Mazen Shanawani received the M.Sc. degree in communication systems and signal processing from the University of Bristol, Bristol, U.K. He had worked in the Arab International University (AIU) in Syria for until 2016 before he won the scholarship to complete the Ph.D. studies at the University of Bologna, Italy. He is currently pursuing the Ph.D. degree in the millimeter and terahertz rectennas where the Ph.D. program aims to find more accurate ways for simulation and industrialization of high-frequency diodes to pave the way for more efficient energy harvesting devices at higher frequencies. He has recently won the EnABLES support for a proposal to fabricate optimized nonlinear high-frequency diodes in order to fabricate optimized prototypes. His research interests include: co-simulation and optimization of linear and nonlinear energy harvesters, energy-efficient antenna arrays, and modeling of tunneling devices.
    Diego Masotti (M'00, SM'16) received the Ph.D. degree in electric engineering from the University of Bologna, Italy, in 1997. In 1998 he joined the University of Bologna as a Research Associate of electromagnetic fields. His research interests are in the areas of nonlinear microwave circuit simulation and design, with emphasis on nonlinear/electromagnetic co-design of integrated radiating subsystems/ systems for wireless power transfer and energy harvesting applications. He authored more than 60 scientific publications on peer reviewed international journals and more than 100 scientific publications on proceedings of international conferences. Dr. Masotti serves in the Editorial Board of the International Journal of Antennas and Propagation, of the Cambridge journal of Wireless Power Transfer, of IEEE Access, and he is a member of the Paper Review Board of the main Journals of the microwave sector.
    Alessandra Costanzo (A'99–M'02–SM'13) is a Full Professor with the University of Bologna, Italy. She has authored more than 200 publications and several chapter books. Her research interests include CAD for co-design and modeling of active nonlinear microwave/RF circuits. She has proposed novel solutions for energy-autonomous RF systems based on the wireless power transmission, adopting both far-field and near-field solutions, for several power levels and operating frequencies. She is a member of the MTT-24 RFID. She is the Past-Chair of the MTT-26 on Wireless Energy Transfer and Conversion. She was a co-founder of the EU COST Action IC1301 WiPE. She is the MTT-S Representative and Distinguished Lecturer of the IEEE CRFID. She is Steering Committee Chair of the IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION. She is Associate Editor for IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, for the Cambridge Journals of Microwave and Wireless Technologies, and of Wireless Power Transfer
  • Corresponding author: Mazen Shanawani, E-mail: mazen.shanawani@unibo.it 
  • The deployment of multi-insulator tunneling diodes has recently had more attention to be used as rectifiers in energy harvesting rectennas with good potentiality for a millimeter and terahertz range. However, with the rather complicated math to obtain the current–voltage relation, it is difficult to evaluate the design figures of merit (FOM)s such as asymmetry, nonlinearity, responsivity, and dynamic resistance and monitor the impact of changing physical parameters on them. This complicates the decision-making process for the required physical parameters. In this work, a heuristic optimization framework using genetic algorithm is suggested using the transfer matrix method to find the combination of physical parameters which satisfies the minimum required FOM set by users and weighted by their preference.
  • Cite this article

    Shanawani M, Masotti D, Costanzo A. 2020. Genetic-based optimization of a multi insulator tunneling diode for THz energy harvesting. Wireless Power Transfer 7(1): 60-64 doi: 10.1017/wpt.2020.8
    Shanawani M, Masotti D, Costanzo A. 2020. Genetic-based optimization of a multi insulator tunneling diode for THz energy harvesting. Wireless Power Transfer 7(1): 60-64 doi: 10.1017/wpt.2020.8

Article Metrics

Article views(342) PDF downloads(348)

Other Articles By Authors

ARTICLE   Open Access    

Genetic-based optimization of a multi insulator tunneling diode for THz energy harvesting

  • Author Bio:
    Mazen Shanawani received the M.Sc. degree in communication systems and signal processing from the University of Bristol, Bristol, U.K. He had worked in the Arab International University (AIU) in Syria for until 2016 before he won the scholarship to complete the Ph.D. studies at the University of Bologna, Italy. He is currently pursuing the Ph.D. degree in the millimeter and terahertz rectennas where the Ph.D. program aims to find more accurate ways for simulation and industrialization of high-frequency diodes to pave the way for more efficient energy harvesting devices at higher frequencies. He has recently won the EnABLES support for a proposal to fabricate optimized nonlinear high-frequency diodes in order to fabricate optimized prototypes. His research interests include: co-simulation and optimization of linear and nonlinear energy harvesters, energy-efficient antenna arrays, and modeling of tunneling devices.
    Diego Masotti (M'00, SM'16) received the Ph.D. degree in electric engineering from the University of Bologna, Italy, in 1997. In 1998 he joined the University of Bologna as a Research Associate of electromagnetic fields. His research interests are in the areas of nonlinear microwave circuit simulation and design, with emphasis on nonlinear/electromagnetic co-design of integrated radiating subsystems/ systems for wireless power transfer and energy harvesting applications. He authored more than 60 scientific publications on peer reviewed international journals and more than 100 scientific publications on proceedings of international conferences. Dr. Masotti serves in the Editorial Board of the International Journal of Antennas and Propagation, of the Cambridge journal of Wireless Power Transfer, of IEEE Access, and he is a member of the Paper Review Board of the main Journals of the microwave sector.
    Alessandra Costanzo (A'99–M'02–SM'13) is a Full Professor with the University of Bologna, Italy. She has authored more than 200 publications and several chapter books. Her research interests include CAD for co-design and modeling of active nonlinear microwave/RF circuits. She has proposed novel solutions for energy-autonomous RF systems based on the wireless power transmission, adopting both far-field and near-field solutions, for several power levels and operating frequencies. She is a member of the MTT-24 RFID. She is the Past-Chair of the MTT-26 on Wireless Energy Transfer and Conversion. She was a co-founder of the EU COST Action IC1301 WiPE. She is the MTT-S Representative and Distinguished Lecturer of the IEEE CRFID. She is Steering Committee Chair of the IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION. She is Associate Editor for IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, for the Cambridge Journals of Microwave and Wireless Technologies, and of Wireless Power Transfer
  • Corresponding author: Mazen Shanawani, E-mail: mazen.shanawani@unibo.it 
Wireless Power Transfer  7 Article number: 10.1017/wpt.2020.8  (2020)  |  Cite this article

Abstract: The deployment of multi-insulator tunneling diodes has recently had more attention to be used as rectifiers in energy harvesting rectennas with good potentiality for a millimeter and terahertz range. However, with the rather complicated math to obtain the current–voltage relation, it is difficult to evaluate the design figures of merit (FOM)s such as asymmetry, nonlinearity, responsivity, and dynamic resistance and monitor the impact of changing physical parameters on them. This complicates the decision-making process for the required physical parameters. In this work, a heuristic optimization framework using genetic algorithm is suggested using the transfer matrix method to find the combination of physical parameters which satisfies the minimum required FOM set by users and weighted by their preference.

  • About this article
    Cite this article
    Shanawani M, Masotti D, Costanzo A. 2020. Genetic-based optimization of a multi insulator tunneling diode for THz energy harvesting. Wireless Power Transfer 7(1): 60-64 doi: 10.1017/wpt.2020.8
    Shanawani M, Masotti D, Costanzo A. 2020. Genetic-based optimization of a multi insulator tunneling diode for THz energy harvesting. Wireless Power Transfer 7(1): 60-64 doi: 10.1017/wpt.2020.8

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return