G. Boldeiu, M. Dragoman, M. Aldrigo, S. Iordanescu, A. Cismaru
{"title":"Multi-physics simulations of pyroelectric harvesters based on nanoscale ferroelectrics","authors":"G. Boldeiu, M. Dragoman, M. Aldrigo, S. Iordanescu, A. Cismaru","doi":"10.1109/CAS56377.2022.9934509","DOIUrl":null,"url":null,"abstract":"In this paper, we present the COMSOL Multiphysics simulations of a hafnium oxide-based system that can collect energy and transform it into a $\\boldsymbol{DC}$ voltage, namely a pyroelectric harvester. Energy harvesting has been attracting a tremendous interest in the last years. $\\boldsymbol{In}$ this sense, accurate models of energy harvesters need to be rigorously simulated to assess the conversion of the energy source (in this case, heat) into a low-power electrical signal. In this work, we predict the performance of the proposed system through the choice of the best materials and the optimization of the overall geometry.","PeriodicalId":380138,"journal":{"name":"2022 International Semiconductor Conference (CAS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Semiconductor Conference (CAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAS56377.2022.9934509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present the COMSOL Multiphysics simulations of a hafnium oxide-based system that can collect energy and transform it into a $\boldsymbol{DC}$ voltage, namely a pyroelectric harvester. Energy harvesting has been attracting a tremendous interest in the last years. $\boldsymbol{In}$ this sense, accurate models of energy harvesters need to be rigorously simulated to assess the conversion of the energy source (in this case, heat) into a low-power electrical signal. In this work, we predict the performance of the proposed system through the choice of the best materials and the optimization of the overall geometry.