Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Decision Science Letters » Availability analysis of thermal power plant boiler air circulation system using Markov approach

Journals

  • IJIEC (726)
  • MSL (2637)
  • DSL (649)
  • CCL (508)
  • USCM (1092)
  • ESM (413)
  • AC (562)
  • JPM (271)
  • IJDS (912)
  • JFS (91)
  • HE (26)
  • SCI (26)

DSL Volumes

    • Volume 1 (10)
      • Issue 1 (5)
      • Issue 2 (5)
    • Volume 2 (30)
      • Issue 1 (5)
      • Issue 2 (6)
      • Issue 3 (9)
      • Issue 4 (10)
    • Volume 3 (53)
      • Issue 1 (15)
      • Issue 2 (10)
      • Issue 3 (19)
      • Issue 4 (9)
    • Volume 4 (48)
      • Issue 1 (10)
      • Issue 2 (12)
      • Issue 3 (14)
      • Issue 4 (12)
    • Volume 5 (39)
      • Issue 1 (12)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (9)
    • Volume 6 (30)
      • Issue 1 (8)
      • Issue 2 (6)
      • Issue 3 (9)
      • Issue 4 (7)
    • Volume 7 (41)
      • Issue 1 (8)
      • Issue 2 (8)
      • Issue 3 (8)
      • Issue 4 (17)
    • Volume 8 (38)
      • Issue 1 (8)
      • Issue 2 (6)
      • Issue 3 (14)
      • Issue 4 (10)
    • Volume 9 (39)
      • Issue 1 (8)
      • Issue 2 (9)
      • Issue 3 (14)
      • Issue 4 (8)
    • Volume 10 (43)
      • Issue 1 (7)
      • Issue 2 (8)
      • Issue 3 (20)
      • Issue 4 (8)
    • Volume 11 (49)
      • Issue 1 (9)
      • Issue 2 (9)
      • Issue 3 (14)
      • Issue 4 (17)
    • Volume 12 (64)
      • Issue 1 (12)
      • Issue 2 (24)
      • Issue 3 (13)
      • Issue 4 (15)
    • Volume 13 (78)
      • Issue 1 (21)
      • Issue 2 (18)
      • Issue 3 (19)
      • Issue 4 (20)
    • Volume 14 (87)
      • Issue 1 (21)
      • Issue 2 (23)
      • Issue 3 (25)
      • Issue 4 (18)

Keywords

Supply chain management(166)
Jordan(161)
Vietnam(149)
Customer satisfaction(120)
Performance(113)
Supply chain(108)
Service quality(98)
Competitive advantage(95)
Tehran Stock Exchange(94)
SMEs(87)
optimization(85)
Financial performance(83)
Trust(81)
TOPSIS(80)
Job satisfaction(80)
Sustainability(79)
Factor analysis(78)
Social media(78)
Knowledge Management(77)
Artificial intelligence(76)


» Show all keywords

Authors

Naser Azad(82)
Mohammad Reza Iravani(64)
Zeplin Jiwa Husada Tarigan(61)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(39)
Jumadil Saputra(36)
Dmaithan Almajali(36)
Muhammad Turki Alshurideh(35)
Barween Al Kurdi(32)
Ahmad Makui(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Sautma Ronni Basana(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(27)


» Show all authors

Countries

Iran(2179)
Indonesia(1285)
Jordan(786)
India(785)
Vietnam(502)
Saudi Arabia(448)
Malaysia(439)
United Arab Emirates(220)
China(184)
Thailand(151)
United States(110)
Ukraine(104)
Turkey(103)
Egypt(98)
Canada(92)
Pakistan(85)
Peru(85)
Morocco(79)
United Kingdom(79)
Nigeria(78)


» Show all countries

Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 3 Issue 1 pp. 65-72 , 2014

Availability analysis of thermal power plant boiler air circulation system using Markov approach Pages 65-72 Right click to download the paper Download PDF

Authors: Ravinder Kumar

Keywords: Markov Birth-Death process, Probabilistic approach, Steady state availability, Thermal power plant

Abstract: The long term operation and planning of power plant depend upon an effective availability analysis and assessment of various systems in the plant concerned. The plant is expected to remain operational in a continual manner to achieve the desired production targets. Hence, the availability analysis of the boiler air circulation system plays an important role in this direction. For this purpose, the concerned system mathematical model based on Markov Birth-Death process has been developed. The system consists of four subsystems. The transition diagram represents reduced capacity, full working and failed state of the system. The differential equations associated with the transition diagram based on probabilistic approach have been solved recursively in order to develop the system steady state availability. Availability matrices represented measures the performance of the system concerned. In addition, different combinations of failures and repair rates provide various availability levels of the system. Maintenance decisions are taken based upon these values for improving availability of the power plant as well as the power supply. The result shows that the failure of the primary air fan affects the system availability at most, while failure of air heater affect it at least for different failures and repair rate combination of subsystems under study.

How to cite this paper
Kumar, R. (2014). Availability analysis of thermal power plant boiler air circulation system using Markov approach.Decision Science Letters , 3(1), 65-72.

Refrences
Abdelaziz, A. R. (1997). Reliability evaluation in operational planning of power systems. Electric Machines and Power Systems, 25 (4), 419–428.

Arora, N., & Kumar, D. (1997). Availability analysis of steam and power generation systems in the thermal
power plant. Microelectronics Reliability, 37 (5), 795-799.

Balaguruswamy, E. (1984). Reliability Engineering. Tata McGraw Hill: New Delhi.

Barabady, J., & Kumar, U. (2007). Availability allocation through importance measures. International journal of quality & reliability management, 24(6), 643-657.

Blischke, W. R., & Murthy, D. N. P. (2003). Case Studies in Reliability and Maintenance. USA: John wiley & sons, Inc.

Clifton, R.H. (1974). Principles of Planned Maintenance. Edward Arnold Publishers: London.

Cochran, J.K., Murugan, A., & Krishnamurthy V. (2001). Generic Markov models for availability estimation and failure characterization in petroleum refineries. Computers and Operations Research, 28(1), 1-12.

Dhillon, B. S. (1983). Reliability engineering in systems design and operation. New York:Van Nostrand-Reinhold.

Galikowsky, C., Sivazlian, B.D., & Chaovalitwongse, P. (1996). Optimal redundancies for reliability and availability of series systems. Microelectronics Reliability, 36(10), 1537–1546.

Garg, S., Singh, J., & Singh, D.V. (2010). Availability and maintenance scheduling of a repairable block-board manufacturing system. International Journal of reliability & safety, 4(1), 104-118.

Gupta, P., Lal, A.K., Sharma, R.K., & Singh, J. (2005). Numerical analysis of reliability and availability of the series processes in butter oil processing plant. International Journal of Quality & Reliability Management, 22(3), 303-316.

Gupta, P., Lal, A.K., Sharma, R.K., & Singh, J. (2007). Analysis of reliability and availability of serial processes of plastic-pipe manufacturing plant: A case study. International Journal of Quality & Reliability Management, 24(4), 404–419.

Haghifam, M.R,, & Manbachi, M. (2011). Reliability and availability modeling of combined heat and
power systems. Electrical Power and Energy Systems, 33(3), 385-393.

Kumar, D., & Pandey, P. C. (1993). Maintenance planning and resource allocation in urea fertilizer plant. Quality and reliability Engineering International, 9(5), 411-423.

Kumar, R., Sharma, A.K., & Tewari, P.C. (2012). Markov approach to evaluate the availability simulation model for power generation system in a thermal power plant. International journal of industrial engineering & computations, 3(5), 743-750.

Lieberman, N. P. (1973). Process Design for Reliable Operations. Gulf Publishing Company: Huston, TX.

Purbolaksono, J. Ahmad, J., Khinani, A., Ali, A.A., & Rashid, A.Z. (2010). Failure case studies of SA213-T22 steel tubes of boiler through computer simulations. Journal of Loss Prevention in the Process Industries, 23 (1), 98-105.

Sharma, A.k., & Tewari, P.C. (2009). Performance evaluation and economic analysis of a steam thermal power plant. South African Journal of Industrial Engineering, 30(1), 133-146.

Shayan, M.E. (1986). A probabilistic model of coal-burning power plant. IEEE Transactions on Reliability,
R-35 (5), 488-493.

Shooman, M.L. (1961). Probabilistic Reliability: An Engineering Approach. Tata McGraw-Hill Edition: New Delhi, India.

Singh, J., Pandey, P.C., & Kumar, D. (1990). Designing for reliable operation of urea synthesis in the fertilizer industry. Microelectronics Reliability, 30(6), 1021-1024.

Srinath, L. S. (1994). Reliability Engineering. 3rd edition, New Delhi, India. East-West Press Pvt. Ltd.

Tan, J. S., & Kramer, M. A. (1997). A general framework for preventive maintenance optimization in chemical process operations. Computers & Chemical Engineering, 21(12), 1451-1469.
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: Decision Science Letters | Year: 2014 | Volume: 3 | Issue: 1 | Views: 3222 | Reviews: 0

Related Articles:
  • An FMEA analysis using grey theory and grey rough sets
  • Supercritical boiler material selection using fuzzy analytic network proces ...
  • Markov approach to evaluate the availability simulation model for power gen ...
  • RAM investigation of coal-fired thermal power plants: A case study
  • Mathematical modelling and performance optimization of CO2 cooling system o ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2025 GrowingScience.Com