American Journal of Mechanical Engineering. 2022, 10(1), 49-59
DOI: 10.12691/ajme-10-1-7
Open AccessArticle
A. A. Elfar1, 2, , A. F. Elngar3, K. Cipri4 and M. H. Hassan1
1Industrial Department, Helwan University, Cairo, Egypt
2Imam Mohammad Ibn Saud Islamic University, Riyadh, the Kingdom of Saudi Arabia
3Mechanical Engineering Department, MTI University, Cairo, Egypt
4Department of Mechanical and Aerospace Engineering, DIMA, Sapienza University of Rome, Italy
Pub. Date: December 25, 2022
Cite this paper:
A. A. Elfar, A. F. Elngar, K. Cipri and M. H. Hassan. Factors Affecting the Overall Maintenance Performance of an Outdoor Solar Power Station Sub-Systems. American Journal of Mechanical Engineering. 2022; 10(1):49-59. doi: 10.12691/ajme-10-1-7
Abstract
The harsh environmental factors like temperature, rainfall and humidity usually affect the performance of solar power systems and, accordingly, the overall systems reliability. An outdoor power station is an example of the systems dramatically affected by such harsh environmental factors. The objective of this research is to explore the effects of the environmental factors on the overall maintenance performance of an outdoor solar power station system and the system overall design. Maintenance performance is measured by some indicators such as the failure rate (FR) and mean time to repair (MTTR) for some selected outdoor solar power station subsystems. An analytical regression model based on a set of collected field data is developed. The insignificant affecting variables are cancelled based on the regression coefficients P-value. A mean time between failures MTBF-based comparison for some sub-systems that could be installed either indoor or outdoor is conducted. A new mathematical model is introduced to describe the relationship between the sub-systems failure modes due to environmental factors and the system configuration. The verified model may guide the maintenance planners. Also, the results can be used to distinguish between indoor and outdoor system maintenance and why the system is promoted to be installed indoor or outdoor.Keywords:
Outdoor Power Systems MTBF Preventive maintenance system configuration regression models
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References:
| [1] | Jiang, R., Liao, Y., Fei, C., “Impact of climate conditions on field reliability of vehicles” Applied Mechanics and Materials, 2012, Vol. 121-126, pp 3335-3339. |
| |
| [2] | Juang, Y.S., “A knowledge management system for series-parallel availability optimization”. Expert Systems with Applications, 2008; Vol.34, PP.181-193. |
| |
| [3] | Sarkar K.E.S.B., “Improved Modeling of Failure Rate of Photovoltaic Modules Due to Operational Environment” International Conference on Circuits, Power and Computing Technologies, IEEE, 2013, Vol.2(13). |
| |
| [4] | Kumar, E.S., Sarkar, B., “Proportional Hazards Modeling of Environmental Impacts on Reliability of Photovoltaic Modules” International Journal of Engineering and Advanced Technology (IJEAT), 2012, Vol.2 (2), PP.2249-8958. |
| |
| [5] | Renyan, J., Ruizhi, H., 2.5 cmH. “Modeling the Effect of Environmental Conditions on Reliability of Wind Turbines”. (Sci.), 2016, Vol.21 (4), PP. 462-466. |
| |
| [6] | Health and Safety Executive “Safe work in confined spaces, Confined Spaces Regulations 1997” Third edition 2014,, https://www.hse.gov.uk/pubns/books/l101.htm. |
| |
| [7] | Ye, Y., “Modeling for Reliability Optimization of System Design and Maintenance Based on Markov Chain Theory”. Business and Supply Chain Optimization, NY 14150, (2018) |
| |
| [8] | Pujara, K., “The Effect Of Temperature And Relative Humidity On The Corrosion Rates Of Copper And Silver In Electronic Equipment In The Presence Of Sulfur” Environment master degree at The University of Texas at Arlington, 2015. |
| |