Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study

Aisha Sa'ad; Aime Nyoungue; Akilu Yunusa-Kaltungo; Cyril Amaghionyeodiwe

doi:doi:10.3850/978-981-18-5184-1_MS-17-174-cd

Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study

Aisha Sa'ad, Aime Nyoungue, Akilu Yunusa-Kaltungo, Cyril Amaghionyeodiwe

Mechanical and Aerospace Engineering

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Photovoltaic (PV) energy is presently widely harnessed globally with the aim of mitigating atmospheric carbon footprint. Maintaining photovoltaic plant is therefore an important aspect of PV system management in order to achieve maximum generation throughout the generation horizon. Therefore, a novel preventive maintenance strategy was developed consisting of solar panels connected in series taking into account the influence of the panel production rate in this paper. The strategy proposes power energy forecast by ANN and then integrated into an analytical technique in order to simultaneously determine the optimal periodicity (T*) as well as the optimal number of panels (n*) to be replaced during each PM. The strategy also presents a systematic way of replacing the panels such that previously replaced panels during the previous maintenance are not replaced again within a particular replacement cycle. The model also evaluates and minimizes the total maintenance cost over the horizon to determine the optimal solution for the periodicity and number of panels to be replaced during each maintenance time.

Original language	English
Title of host publication	Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany
Place of Publication	Singapore
Publisher	Research Publishing Services
Chapter	17
Pages	574-578
Number of pages	5
DOIs	https://doi.org/doi:10.3850/978-981-18-5184-1_MS-17-174-cd
Publication status	Published - 5 Sept 2022
Event	International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany - Leibniz University's "Conti-Campus", Hannover, Germany Duration: 4 Sept 2022 → 7 Sept 2022 Conference number: 8 https://isrerm.org/

Conference

Conference	International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany
Abbreviated title	ISRERM
Country/Territory	Germany
City	Hannover
Period	4/09/22 → 7/09/22
Internet address	https://isrerm.org/

Keywords

Scheduling
preventive maintenance
reliability
failure rate
periodicity

UN SDGs

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

Access to Document

doi:10.3850/978-981-18-5184-1_MS-17-174-cd

Cite this

Sa'ad, A., Nyoungue, A., Yunusa-Kaltungo, A., & Amaghionyeodiwe, C. (2022). Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study. In Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany (pp. 574-578). Article MS-17-174 Research Publishing Services. https://doi.org/doi:10.3850/978-981-18-5184-1_MS-17-174-cd

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title = "Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study",

abstract = "Photovoltaic (PV) energy is presently widely harnessed globally with the aim of mitigating atmospheric carbon footprint. Maintaining photovoltaic plant is therefore an important aspect of PV system management in order to achieve maximum generation throughout the generation horizon. Therefore, a novel preventive maintenance strategy was developed consisting of solar panels connected in series taking into account the influence of the panel production rate in this paper. The strategy proposes power energy forecast by ANN and then integrated into an analytical technique in order to simultaneously determine the optimal periodicity (T*) as well as the optimal number of panels (n*) to be replaced during each PM. The strategy also presents a systematic way of replacing the panels such that previously replaced panels during the previous maintenance are not replaced again within a particular replacement cycle. The model also evaluates and minimizes the total maintenance cost over the horizon to determine the optimal solution for the periodicity and number of panels to be replaced during each maintenance time.",

keywords = "Scheduling, preventive maintenance, reliability, failure rate, periodicity",

author = "Aisha Sa'ad and Aime Nyoungue and Akilu Yunusa-Kaltungo and Cyril Amaghionyeodiwe",

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booktitle = "Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany",

publisher = "Research Publishing Services",

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note = "International Symposium on Reliability Engineering and Risk Management<br/>4–7 September 2022, Hannover, Germany, ISRERM ; Conference date: 04-09-2022 Through 07-09-2022",

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Sa'ad, A, Nyoungue, A, Yunusa-Kaltungo, A & Amaghionyeodiwe, C 2022, Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study. in Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany., MS-17-174, Research Publishing Services, Singapore, pp. 574-578, International Symposium on Reliability Engineering and Risk Management
4–7 September 2022, Hannover, Germany, Hannover, Germany, 4/09/22. https://doi.org/doi:10.3850/978-981-18-5184-1_MS-17-174-cd

Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study. / Sa'ad, Aisha; Nyoungue, Aime; Yunusa-Kaltungo, Akilu et al.
Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany. Singapore: Research Publishing Services, 2022. p. 574-578 MS-17-174.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study

AU - Sa'ad, Aisha

AU - Nyoungue, Aime

AU - Yunusa-Kaltungo, Akilu

AU - Amaghionyeodiwe, Cyril

N1 - Conference code: 8

PY - 2022/9/5

Y1 - 2022/9/5

N2 - Photovoltaic (PV) energy is presently widely harnessed globally with the aim of mitigating atmospheric carbon footprint. Maintaining photovoltaic plant is therefore an important aspect of PV system management in order to achieve maximum generation throughout the generation horizon. Therefore, a novel preventive maintenance strategy was developed consisting of solar panels connected in series taking into account the influence of the panel production rate in this paper. The strategy proposes power energy forecast by ANN and then integrated into an analytical technique in order to simultaneously determine the optimal periodicity (T*) as well as the optimal number of panels (n*) to be replaced during each PM. The strategy also presents a systematic way of replacing the panels such that previously replaced panels during the previous maintenance are not replaced again within a particular replacement cycle. The model also evaluates and minimizes the total maintenance cost over the horizon to determine the optimal solution for the periodicity and number of panels to be replaced during each maintenance time.

AB - Photovoltaic (PV) energy is presently widely harnessed globally with the aim of mitigating atmospheric carbon footprint. Maintaining photovoltaic plant is therefore an important aspect of PV system management in order to achieve maximum generation throughout the generation horizon. Therefore, a novel preventive maintenance strategy was developed consisting of solar panels connected in series taking into account the influence of the panel production rate in this paper. The strategy proposes power energy forecast by ANN and then integrated into an analytical technique in order to simultaneously determine the optimal periodicity (T*) as well as the optimal number of panels (n*) to be replaced during each PM. The strategy also presents a systematic way of replacing the panels such that previously replaced panels during the previous maintenance are not replaced again within a particular replacement cycle. The model also evaluates and minimizes the total maintenance cost over the horizon to determine the optimal solution for the periodicity and number of panels to be replaced during each maintenance time.

KW - Scheduling

KW - preventive maintenance

KW - reliability

KW - failure rate

KW - periodicity

U2 - doi:10.3850/978-981-18-5184-1_MS-17-174-cd

DO - doi:10.3850/978-981-18-5184-1_MS-17-174-cd

M3 - Conference contribution

SP - 574

EP - 578

BT - Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany

PB - Research Publishing Services

CY - Singapore

T2 - International Symposium on Reliability Engineering and Risk Management<br/>4–7 September 2022, Hannover, Germany

Y2 - 4 September 2022 through 7 September 2022

ER -

Sa'ad A, Nyoungue A, Yunusa-Kaltungo A, Amaghionyeodiwe C. Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study. In Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany. Singapore: Research Publishing Services. 2022. p. 574-578. MS-17-174 doi: doi:10.3850/978-981-18-5184-1_MS-17-174-cd

Reliability Assessment and Optimal Maintenance Scheduling of a Photovoltaic System: A Nigerian Case Study

Abstract

Conference

Keywords

UN SDGs

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