The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh
This study measures the performance of power generation plants in Sylhet region of Bangladesh considering twenty-four-month monthly dataset during 2013-14. To measure the performance of those plants, gross electricity generation was considered as output for the stochastic frontier model, whereas fue...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Mathematics and Mathematical Sciences |
| Online Access: | http://dx.doi.org/10.1155/2020/9308174 |
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| author | Kanis Fatama Ferdushi Anton Abdulbasah Kamil Saleh Ahmed Luthful Alahi Kawsar |
| author_facet | Kanis Fatama Ferdushi Anton Abdulbasah Kamil Saleh Ahmed Luthful Alahi Kawsar |
| author_sort | Kanis Fatama Ferdushi |
| collection | DOAJ |
| description | This study measures the performance of power generation plants in Sylhet region of Bangladesh considering twenty-four-month monthly dataset during 2013-14. To measure the performance of those plants, gross electricity generation was considered as output for the stochastic frontier model, whereas fuel consumption, lube oil consumption, auxiliary consumption, cost, heat rate, and hours of run were considered as input variables. Based on the log-likelihood hypothesis test, trans-log production model is preferred over Cobb–Douglas (C-D) production model for this study. The average efficiency of the selected plants is above 90 percent, and there is Sylhet Combined Cycle Power Plant (CCPP) which has an efficiency of about 78.6 percent for truncated normal distribution. In the time-variant inefficiency effects model, fuel consumption, cost, square product of lube oil consumption, interaction between fuel consumption and lube oil consumption as well as auxiliary consumption, and hours of run have a significant positive influence on power generation. On the other hand, some input variables such as hours of run and interaction between cost and heat rate have a significant negative influence on power generation. The estimated values of the time-varying inefficiency parameter η are positive for both the truncated and the half-normal distribution. This result indicates that technical efficiency has declined over the reference period of the study. |
| format | Article |
| id | doaj-art-564a01b7f9a44071abedf84098fa2369 |
| institution | Kabale University |
| issn | 0161-1712 1687-0425 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Mathematics and Mathematical Sciences |
| spelling | doaj-art-564a01b7f9a44071abedf84098fa23692025-02-03T01:24:57ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252020-01-01202010.1155/2020/93081749308174The Measures of Efficiency of Power Generation Plants in Sylhet of BangladeshKanis Fatama Ferdushi0Anton Abdulbasah Kamil1Saleh Ahmed2Luthful Alahi Kawsar3Department of Statistics, Shahjalal University of Science and Technology, Sylhet 3114, BangladeshFaculty of Economics, Administrative and Social Sciences, Istanbul Gelisim University, Istanbul, TurkeyDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet 3114, BangladeshDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet 3114, BangladeshThis study measures the performance of power generation plants in Sylhet region of Bangladesh considering twenty-four-month monthly dataset during 2013-14. To measure the performance of those plants, gross electricity generation was considered as output for the stochastic frontier model, whereas fuel consumption, lube oil consumption, auxiliary consumption, cost, heat rate, and hours of run were considered as input variables. Based on the log-likelihood hypothesis test, trans-log production model is preferred over Cobb–Douglas (C-D) production model for this study. The average efficiency of the selected plants is above 90 percent, and there is Sylhet Combined Cycle Power Plant (CCPP) which has an efficiency of about 78.6 percent for truncated normal distribution. In the time-variant inefficiency effects model, fuel consumption, cost, square product of lube oil consumption, interaction between fuel consumption and lube oil consumption as well as auxiliary consumption, and hours of run have a significant positive influence on power generation. On the other hand, some input variables such as hours of run and interaction between cost and heat rate have a significant negative influence on power generation. The estimated values of the time-varying inefficiency parameter η are positive for both the truncated and the half-normal distribution. This result indicates that technical efficiency has declined over the reference period of the study.http://dx.doi.org/10.1155/2020/9308174 |
| spellingShingle | Kanis Fatama Ferdushi Anton Abdulbasah Kamil Saleh Ahmed Luthful Alahi Kawsar The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh International Journal of Mathematics and Mathematical Sciences |
| title | The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh |
| title_full | The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh |
| title_fullStr | The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh |
| title_full_unstemmed | The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh |
| title_short | The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh |
| title_sort | measures of efficiency of power generation plants in sylhet of bangladesh |
| url | http://dx.doi.org/10.1155/2020/9308174 |
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