Assessment of performance indices of selected gas turbine power plants in Nigeria

被引:11
作者
Oyedepo, Sunday Olayinka [1 ]
Fagbenle, Richard Olayiwola [2 ]
Adefila, Samuel Sunday [3 ]
机构
[1] Covenant Univ, Dept Mech Engn, Ota, Nigeria
[2] Obafemi Awolowo Univ, Dept Mech Engn, Ife, Nigeria
[3] Covenant Univ, Dept Chem Engn, Ota, Nigeria
来源
ENERGY SCIENCE & ENGINEERING | 2015年 / 3卷 / 03期
关键词
Availability; electricity; performance indices; plant factor; power plant; reliability; RELIABILITY;
D O I
10.1002/ese3.61
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this study, performance assessment of selected gas turbine power plants in Nigeria was evaluated using performance indices. The results of the study showed that for the period under review (2006-2010), the percentage shortfalls from the target energy in the selected power plants range from 26.33% to 86.61% as against the acceptable value of 5-10%. The capacity factor of the selected power plants varies from 16.88% to 73.67% as against the international value of 50-80%. The plant use factor varies from 45.89% to 97.03% and the utilization factor varies from 6.31% to 93.074% as against the international best practice of over 95%. From this result, it can be concluded that the generating units were underutilized. This is due to inadequate routine maintenance and equipment fault development. The analyses of reliability indicators revealed that the mean time between failures varies from 5.42 to 378.44 h, the mean time to repair varies from 18.3 to 153.88 h and the plant availability varies from 12.86% to 91.31% as against the Institute of Electrical and Electronics Engineers recommended standard of 99.9%. Evaluation of operating figures of the selected power plants revealed that starting reliability (SR) and operating reliability vary from 71.95% to 93.9% and 5.33% to 55%, respectively. The SR of the selected power plants is low in value compared with standard value of 99.9%. The statistical analysis carried out on plant availability revealed that at 95% confidence level; there is a significant difference in availability of the selected power plants. This indicates differences in their systems installation, operation and maintenance. The performance indicator developed to evaluate the performance indices for the selected stations can also be applicable to other power stations in Nigeria and elsewhere. Measures to improve the performance indices of the plants have been suggested in this paper.
引用
收藏
页码:239 / 256
页数:18
相关论文
共 50 条
  • [31] Assessment of the Impact of Microgrid Control Strategies in the Power Distribution Reliability Indices
    Araújo J.R.
    Silva E.N.M.
    Rodrigues A.B.
    da Silva M.G.
    Journal of Control, Automation and Electrical Systems, 2017, 28 (2) : 271 - 283
  • [32] Annual availability assessment of a gas turbine power plant using Monte Carlo simulation based on fuzzy logic and an adaptive neuro-fuzzy repair time prediction system
    Mirzaei, Danesh
    Behbahaninia, Ali
    Abdalisousan, Ashkan
    Lavasani, Seyed Mohammadreza Miri
    JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2023, 148 (16) : 8675 - 8696
  • [33] The impact of variable demand upon the performance of a combined cycle gas turbine (CCGT) power plant
    Bass, Robert J.
    Malalasekera, Weeratunge
    Willmot, Peter
    Versteeg, Henk K.
    ENERGY, 2011, 36 (04) : 1956 - 1965
  • [34] Performance of a mixed gas-steam cycle power plant obtained upgrading an aero-derivative gas turbine
    Camporeale, SM
    Fortunato, B
    ENERGY CONVERSION AND MANAGEMENT, 1998, 39 (16-18) : 1683 - 1692
  • [35] An integrated performance assessment framework for water treatment plants
    Zhang, Kejiang
    Achari, Gopal
    Sadiq, Rehan
    Langford, Cooper H.
    Dore, Mohammed H. I.
    WATER RESEARCH, 2012, 46 (06) : 1673 - 1683
  • [36] Thermodynamic assessment of impact of inlet air cooling techniques on gas turbine and combined cycle performance
    Mohapatra, Alok Ku
    Sanjay
    ENERGY, 2014, 68 : 191 - 203
  • [37] Wind Turbine Condition Assessment Through Power Curve Copula Modeling
    Gill, Simon
    Stephen, Bruce
    Galloway, Stuart
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2012, 3 (01) : 94 - 101
  • [38] Performance assessment of cogeneration plants
    Kanoglu, Mehmet
    Dincer, Ibrahim
    ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (01) : 76 - 81
  • [39] Performance assessment of wind turbine gearboxes using in-service data: Current approaches and future trends
    Igba, Joel
    Alemzadeh, Kazem
    Durugbo, Christopher
    Henningsen, Keld
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 50 : 144 - 159
  • [40] PROBABILISTIC SAFETY ASSESSMENT IN NUCLEAR POWER PLANTS BY FUZZY NUMBERS
    Purba, Julwan Hendry
    Lu, Jie
    Ruan, Da
    Zhang, Guangquan
    COMPUTATIONAL INTELLIGENCE: FOUNDATIONS AND APPLICATIONS: PROCEEDINGS OF THE 9TH INTERNATIONAL FLINS CONFERENCE, 2010, 4 : 256 - +