TY - GEN
T1 - Shaded Cell Random Model of Solar Cell Module on Energy Harvesting
AU - Afandi, A. N.
AU - Sujito,
AU - Yunus, M.
AU - Gumilar, L.
AU - Ana, N. A.
AU - Fujita, G.
N1 - Funding Information:
The Research and Social Service Institute of Universitas Negeri Malang in Indonesia provided funding for this project. Thank you for the PNBP 2020 Research Grant
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Solar energy system deployment is rapidly rising in areas where solar cell technology is more practical. Natu-rally, running a solar cell module presents both technical and environmental challenges, with the majority of cases involving partial shadowing, pollution, radiation, and heat effects. Standard modules are also susceptible to shadows. This paper evaluates random shadow penetration using an artificial salmon tracking algorithm to determine the best positions for shaded cells and energy block banks, addressing the issue at hand. The results demonstrate that the randomly shaded cell enters the energy matrix and penetrates in several different places along the surface. Additionally, a shadow that occurs with a different value every hour has an impact on the energy bank. By paying attention to the random shadow penetration, it is possible to determine how the conversion process affects energy cells for 9 hours. Energy cells experienced quite different power penetration, ranging from 10 WP to 47 WP, while the energy bank offers 442 WP of Row 1, 405.6 WP of Row 2, 416 WP of Row 3 and Row 4, and 436.7 WP of Row 5 and Row 6.
AB - Solar energy system deployment is rapidly rising in areas where solar cell technology is more practical. Natu-rally, running a solar cell module presents both technical and environmental challenges, with the majority of cases involving partial shadowing, pollution, radiation, and heat effects. Standard modules are also susceptible to shadows. This paper evaluates random shadow penetration using an artificial salmon tracking algorithm to determine the best positions for shaded cells and energy block banks, addressing the issue at hand. The results demonstrate that the randomly shaded cell enters the energy matrix and penetrates in several different places along the surface. Additionally, a shadow that occurs with a different value every hour has an impact on the energy bank. By paying attention to the random shadow penetration, it is possible to determine how the conversion process affects energy cells for 9 hours. Energy cells experienced quite different power penetration, ranging from 10 WP to 47 WP, while the energy bank offers 442 WP of Row 1, 405.6 WP of Row 2, 416 WP of Row 3 and Row 4, and 436.7 WP of Row 5 and Row 6.
KW - Energy Harvesting
KW - Power Output
KW - Salmon Tracking
KW - Shadow Cell
UR - http://www.scopus.com/inward/record.url?scp=85147422442&partnerID=8YFLogxK
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U2 - 10.1109/ICIEE55596.2022.10010018
DO - 10.1109/ICIEE55596.2022.10010018
M3 - Conference contribution
AN - SCOPUS:85147422442
T3 - 2022 International Conference on Informatics Electrical and Electronics, ICIEE 2022 - Proceedings
BT - 2022 International Conference on Informatics Electrical and Electronics, ICIEE 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Informatics Electrical and Electronics, ICIEE 2022
Y2 - 5 October 2022 through 7 October 2022
ER -