Identification of Critical Factors to System Performance Using Availability Modeling and Simulation Analysis

Article Preview

Abstract:

Availability analysis presents a means to understand the impact of existing maintenance system and maintenance resources to the overall system operational availability. The practical method for conducting availability analysis of a plant system at operation phase is illustrated and discussed via a case study of an acid gas removal system of gas processing plant. This study demonstrates that the availability modeling and simulation is effective in assessing the existing and future system configurations and determining possible impacts and critical factors to systems availability. These findings can significantly assist management to make right actions in improving plant system performances.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1759-1763

Citation:

Online since:

January 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] M. Bosman, Availability Analysis of a Natural Gas Compressor Plant, Reliability Engineering, vol. 11, pp.13-26, (1985).

DOI: 10.1016/0143-8174(85)90012-5

Google Scholar

[2] M. R. Rotab Khan and A. B. M. Zohrul Kabir, Availability Simulation of an Ammonia Plant, Reliability Engineering and System Safety, vol. 48, pp.217-227, (1995).

DOI: 10.1016/0951-8320(95)00020-3

Google Scholar

[3] N. Arora and D. Kumar, Availability Analysis of Steam and Power Generation Systems in the Thermal Power Plant, Microelectronics Reliability, vol. 37, no. 5, pp.795-799, (1997).

DOI: 10.1016/0026-2714(95)00115-8

Google Scholar

[4] M. J. AlSalamah, E. Shayan and M. Savsar, Reliability Analysis of a Cooling Seawater Pumping Station, International Journal of Quality and Maintenance Management, vol. 23, no. 6, pp.670-695, (2006).

DOI: 10.1108/02656710610672489

Google Scholar

[5] P. M. Herder, J. A. van Luijk and J. Bruijnooge, Industrial Application of RAM Modeling - Development and Implementation of a RAM Simulation Model for the Lexan® Plant at GE Industrial Plastics, Journal of Reliability Engineering & System Safety, vol. 93, pp.501-508, (2008).

DOI: 10.1016/j.ress.2006.10.019

Google Scholar

[6] F. J. G. Carazas and G. F. Marthe de Souza, Availability Analysis of Gas Turbines Used in Power Plants", International Journal of Thermodynamics, vol. 12, no. 1, pp.28-37, (2009).

Google Scholar

[7] R. Dekker, Applications of Maintenance Optimization Models: a Review and Analysis, Reliability Engineering and System Safety, vol. 51, pp.229-240, (1996).

DOI: 10.1016/0951-8320(95)00076-3

Google Scholar

[8] ISO 14224: Petroleum and Natural Gas Industries — Collection and Exchange of Reliability and Maintenance Data for Equipment. 1st ed., Geneva: International Organization for Standardization, (1999).

Google Scholar

[9] M. Rausand and A. Hoyland, A. System Reliability Theory: Models, Statistical Methods, and Applications, 2nd ed., New Jersey: John Wiley & Sons, (2003).

Google Scholar

[10] R. C. Mishra, Reliability and Maintenance Engineering, Delhi, India: New Age International (P) Ltd, (2006).

Google Scholar

[11] S. N. H. Al-Thani, B. Wilson, B. Duchemin, F. F. de la Vega and S. Majeed, S. Reliability study of an LNG complex, presented at 13th International conference and exhibition of Liquefied Natural Gas, Seoul, Korea, (2001).

Google Scholar

[12] J. Banks, J. S. Carson, B. L. Nelson and D. M. Nicol, Discrete-Event System Simulation, 5th ed., New Jersey: Pearson Education, (2010).

Google Scholar

[13] A. Crespo Marquez, B. Iung and A. Sanchez Herguedas, "Monte Carlo based Assessment of System Availability: A Case Study for Cogeneration Plants, Reliability Engineering and System Safety, vol. 83, no. 3, pp.279-83, (2005).

DOI: 10.1016/j.ress.2004.07.018

Google Scholar

[14] Reliasoft, System Analysis: Reliability, Availability and Optimization. Singapore: Reliasoft publishing, (2007).

Google Scholar