eprintid: 12285
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/22/85
datestamp: 2023-11-10 03:26:50
lastmod: 2023-11-10 03:26:50
status_changed: 2023-11-10 01:17:19
type: article
metadata_visibility: show
creators_name: Kharchenko, V.
creators_name: Nikitin, B.
creators_name: Tikhonov, P.
creators_name: Panchenko, V.
creators_name: Vasant, P.
title: Evaluation of the Silicon Solar Cell Parameters
ispublished: pub
keywords: Intelligent computing; Parameter estimation; Photons; Semiconductor materials; Silicon solar cells; Solar radiation; Substrates, Electron hole pairs; Estimation and predictions; PV solar cells; Solar cell parameters; Solar cell substrates; Solar irradiation; Spectral distribution; Sunlight, Solar cells
note: cited By 8; Conference of International Conference on Intelligent Computing and Optimization, ICO 2018 ; Conference Date: 4 October 2018 Through 5 October 2018; Conference Code:219079
abstract: For estimation and prediction of PV solar cell parameters there was suggested and developed the methodology based on acceptance for consideration the important peculiarity internal photoeffect which mind-set in the fact that photon of sunlight can form only one electron-hole pair despite of its energy level and that the solar radiation is characterized by spectral distribution of photons of various length of a wave. The main point of the methodology is consideration the process of electron-hole pairs formation under influence of photons of given site of solar spectrum with semiconductor (silicon) used as solar cell substrate. Some results of this kind calculation are represented in the paper. © 2019, Springer Nature Switzerland AG.
date: 2019
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054727483&doi=10.1007%2f978-3-030-00979-3_34&partnerID=40&md5=4a51bd61d01cb941677e0c29021d04f8
id_number: 10.1007/978-3-030-00979-3₃₄
full_text_status: none
publication: Advances in Intelligent Systems and Computing
volume: 866
pagerange: 328-336
refereed: TRUE
isbn: 9783030009786
issn: 21945357
citation:   Kharchenko, V. and Nikitin, B. and Tikhonov, P. and Panchenko, V. and Vasant, P.  (2019) Evaluation of the Silicon Solar Cell Parameters.  Advances in Intelligent Systems and Computing, 866.  pp. 328-336.  ISSN 21945357