Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model

Dou Hong; Jieming Ma; Ka Lok Man; Huiqing Wen; Prudence Wong

doi:10.1109/ECCE50734.2022.9948042

Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model

Dou Hong
, Jieming Ma
, Ka Lok Man
, Huiqing Wen
, Prudence Wong

Xi'an Jiaotong-Liverpool University
University of Liverpool

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

4 Citations (Scopus)

Abstract

Bifacial photovoltaic (PV) modules show higher output than monofacial PV modules, and therefore, an accurate model is of significance to bifacial PV system management. Traditional bifacial PV models treat the bifacial PV cell as two monofacial PV cells in parallel, and most of these studies do not address the effects of different irradiance and materials at both sides on total output in simulation. This paper presents a simplified bifacial alpha-beta single double diode model. The measurement error rate alpha is proposed to demonstrate deviation between measured data and real data which happens during the I-V or irradiance measurement. A bifacial contribution rate beta is introduced to present the ratio of output from two sides in the total generated current resulting from the different irradiance and materials. The experiment results show that the proposed model obtained the lowest errors compared with existing bifacial PV models.

Original language	English
Title of host publication	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193878
DOIs	https://doi.org/10.1109/ECCE50734.2022.9948042
Publication status	Published - 2022
Event	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: 9 Oct 2022 → 13 Oct 2022

Publication series

Name	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/Territory	United States
City	Detroit
Period	9/10/22 → 13/10/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

bifacial contribution rate
bifacial photovoltaic modeling
bifacial photovoltaic modules

Access to Document

10.1109/ECCE50734.2022.9948042

Cite this

Hong, D., Ma, J., Man, K. L., Wen, H., & Wong, P. (2022). Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE50734.2022.9948042

@inproceedings{9a08cf67d2c148da8f6f5db4cf2ed53d,

title = "Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model",

abstract = "Bifacial photovoltaic (PV) modules show higher output than monofacial PV modules, and therefore, an accurate model is of significance to bifacial PV system management. Traditional bifacial PV models treat the bifacial PV cell as two monofacial PV cells in parallel, and most of these studies do not address the effects of different irradiance and materials at both sides on total output in simulation. This paper presents a simplified bifacial alpha-beta single double diode model. The measurement error rate alpha is proposed to demonstrate deviation between measured data and real data which happens during the I-V or irradiance measurement. A bifacial contribution rate beta is introduced to present the ratio of output from two sides in the total generated current resulting from the different irradiance and materials. The experiment results show that the proposed model obtained the lowest errors compared with existing bifacial PV models.",

keywords = "bifacial contribution rate, bifacial photovoltaic modeling, bifacial photovoltaic modules",

author = "Dou Hong and Jieming Ma and Man, \{Ka Lok\} and Huiqing Wen and Prudence Wong",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 ; Conference date: 09-10-2022 Through 13-10-2022",

year = "2022",

doi = "10.1109/ECCE50734.2022.9948042",

language = "English",

series = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

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

booktitle = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

}

Hong, D, Ma, J , Man, KL , Wen, H & Wong, P 2022, Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model. in 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Detroit, United States, 9/10/22. https://doi.org/10.1109/ECCE50734.2022.9948042

Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model. / Hong, Dou; Ma, Jieming ; Man, Ka Lok et al.
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022).

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

TY - GEN

T1 - Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model

AU - Hong, Dou

AU - Ma, Jieming

AU - Man, Ka Lok

AU - Wen, Huiqing

AU - Wong, Prudence

PY - 2022

Y1 - 2022

N2 - Bifacial photovoltaic (PV) modules show higher output than monofacial PV modules, and therefore, an accurate model is of significance to bifacial PV system management. Traditional bifacial PV models treat the bifacial PV cell as two monofacial PV cells in parallel, and most of these studies do not address the effects of different irradiance and materials at both sides on total output in simulation. This paper presents a simplified bifacial alpha-beta single double diode model. The measurement error rate alpha is proposed to demonstrate deviation between measured data and real data which happens during the I-V or irradiance measurement. A bifacial contribution rate beta is introduced to present the ratio of output from two sides in the total generated current resulting from the different irradiance and materials. The experiment results show that the proposed model obtained the lowest errors compared with existing bifacial PV models.

AB - Bifacial photovoltaic (PV) modules show higher output than monofacial PV modules, and therefore, an accurate model is of significance to bifacial PV system management. Traditional bifacial PV models treat the bifacial PV cell as two monofacial PV cells in parallel, and most of these studies do not address the effects of different irradiance and materials at both sides on total output in simulation. This paper presents a simplified bifacial alpha-beta single double diode model. The measurement error rate alpha is proposed to demonstrate deviation between measured data and real data which happens during the I-V or irradiance measurement. A bifacial contribution rate beta is introduced to present the ratio of output from two sides in the total generated current resulting from the different irradiance and materials. The experiment results show that the proposed model obtained the lowest errors compared with existing bifacial PV models.

KW - bifacial contribution rate

KW - bifacial photovoltaic modeling

KW - bifacial photovoltaic modules

UR - https://www.scopus.com/pages/publications/85144029578

U2 - 10.1109/ECCE50734.2022.9948042

DO - 10.1109/ECCE50734.2022.9948042

M3 - Conference Proceeding

AN - SCOPUS:85144029578

T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Y2 - 9 October 2022 through 13 October 2022

ER -

Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model

Abstract

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UN SDGs

Keywords

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