Using of Proactive Maintenance for a Solar Power Plant

Authors

  • Mathurot Mingmongkol Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
  • Jittra Rukkijkanpanich Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

Keywords:

Solar Power Plant, Availability, Proactive Maintenance, FMEA

Abstract

A solar power plant under the study is the one, which has already had a preventive maintenance program. However, as the plant operation proceeded, more machine failures were noted. This implies that the implemented preventive maintenance might not be adequate to prevent the failure of the machines. The present study therefore aimed to integrate proactive maintenance program into the strategy of the plant. The study was conducted by first analyzing the failure mode and its effect by failure modes and effect analysis. Criteria on severity (S), occurrence (O) and detection (D) were established; risk priority number was then evaluated. Priority of the problems to analyze and to find the solutions was then assigned. The solutions were finally put into the proactive maintenance program. Such a program consisted of improving the maintenance program itself as well as improving the machines to reduce the occurrence of failures. After implementing the program, the average availability value increased from 99.43%to 99.69%, while the standard deviation decreased from 1.20% to 0.41%. The number of failures decreased by 40.28% and the power loss of production capacity could be reduced by 28.44%

References

Wongjirattikarn, S., 2013, “Improvement of Preventive Maintenance Planning of an Automobile Shaft Manufacturer by FMEA Technique,” The Journal of King Mongkut's University of Technology North Bangkok, 23 (3), pp. 643-653. (In Thai)

Automotive Industry Action Group (AIAG), 2012, Potential Failure Mode and Effects Analysis (FMEA), 3rd ed.

Application of FMEA and AHP to Improve the Dyeing Process in the Sample Factory, Master of Engineering Thesis, Department of Industrial and Management Engineering, Silpakorn University. (In Thai)

Bank, D., 2015. “FITT for Investors Crossing the Chasm,” Recuperado a partir de [Online], Available: https://www.db.com/cr/en/docs/solar_report_full_length.pdf. [25 April 2018].

Deshpande, V.S. and Modak, J.P., 2003, Reliability Centered Maintenance in Electric Power Plant, Washington DC: Harper and Bros.

Dhillon, B.S., 1989, Life Cycle Costing: Technique, Models and Applications, Gordon and Breach, New York.

Rukijkanpanich, J. and Pasuk, P., 2018, "Maintenance Management for Transportation Process in Quarry Industry," Journal of Quality in Maintenance Engineering, 24, pp.185-199.

Aarseth, E., 2003, “Playing Research: Methodological Approaches to Game Analysis,” Proceedings of the Digital Arts and Culture Conference, pp. 28-29.

Susto, G.A., Schirru, A., Pampuri, S., McLoone, S. and Beghi, A., 2014, “Machine Learning for Predictive Maintenance: A Multiple Classifier Approach,” IEEE Transactions on Industrial Informatics, 11 (3), pp. 812-820.

Santaweesuk, P. and Rukijkanpanich, J., 2017, “Modification Maintenance Period for Masterbatch Production,” KMUTT Research and Development Journal, 40 (3), pp. 427-445. (In Thai)

Manaspiti, P., 2018, “Productivity Analysis and Improvement in Bottling Process through Maintenance Theories,” KMUTT Research and Development Journal, 41 (2), pp. 199-209. (In Thai)

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Published

2020-03-31

How to Cite

Mingmongkol, M., & Rukkijkanpanich, J. (2020). Using of Proactive Maintenance for a Solar Power Plant. Science and Engineering Connect, 43(1), 31–48. retrieved from https://ph04.tci-thaijo.org/index.php/SEC/article/view/10621

Issue

Section

Research Article