Research Article
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Year 2021, , 723 - 734, 30.06.2021
https://doi.org/10.16984/saufenbilder.820735

Abstract

Supporting Institution

TUBITAK

Project Number

Project No. 110G092

Thanks

TUBITAK'a verdiği desteklerden dolayı teşekkürlerimizi iletmeyi bir boç biliriz.

References

  • [1] World Bank Group, “Electricity production from oil, gas and coal sources”, 2020. https://data.worldbank.org/indicator/ Accesed 25 Sep 2020.
  • [2] K. Kawai, Y. Takizawa, S. Watanabe, “Advanced automation for powergeneration plants - past, present and future,” Control Engineering Practice 7, 1405-1411, 1999.
  • [3] S. Cafaro, L. Napoli, A. Traverso, A.F. Massardo, “Monitoring of the thermoeconomic performance in an actual combined cycle power plant bottoming cycle,” Energy, 35, 902–910, 2010.
  • [4] J. Cai, X. Ma, Q. Li, “On-line monitoring the performance of coal-fired power unit: A method based on support vector machine,” Applied Thermal Engineering, 29, 2308– 2319, 2009.
  • [5] A. Valero, MA Lozano,JL Bartolome, “Online monitoring of power-plant performance, using exergetic cost techniques,” Appl Therm Eng, 16:933–48, 1996.
  • [6] K. Swirski_, Power Plant Performance Monitoring Using Statistical Methodology Approach, Journal of Power Technologies, 91(2) pp. 63–76, 2011.
  • [7] L. Li, “Process Performance Monitoring and Degradation Analysis, In Thermal Power Plants,” Ed. Mohammad Rasul, IntechOpen, 2012. Doi: 10.5772/27335.
  • [8] M.B. Özdemir, T. Menlik, H.İ Variyenli, and L. Sevi, “Performance analysis and rehabilitation methods of a thermal power plant”, J. of Polytechnic, 20 (4): 971-978, 2017.
  • [9] B. Saha, V. Patel and K. Chaterjee, "Assessment of process parameter to improving power plant performance," 2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), Ghaziabad, pp. 441-446, 2014. doi: 10.1109/CIPECH.2014.7019125.
  • [10] T. Sudhakar, B. Anjaneya Prasad, K. Prahlada Rao, “Analysis of Process Parameters to Improve Power Plant Efficiency,” Journal of Mechanical and Civil Engineering (IOSR-JMCE), Volume 14, Issue 1 Ver. II, pp. 57-64, 2017.
  • [11] S. Vasilica Oprea and A. Bâra, “Key Technical Performance Indicators for Power Plants,” In Recent Improvements of Power Plants Management and Technology, Ed. Aleksandar B. Nikolic and Zarko S. Janda, IntechOpen, 2017. DOI: 10.5772/67858.
  • [12] J. M. Blanco, L. Vazquez, F. Peña, "Investigation on a new methodology for thermal power plant assessment through live diagnosis monitoring of selected process parameters; application to a case study," Energy, Elsevier, vol. 42(1), pp. 170-180, 2012.
  • [13] Z. Guo, S. Gu, P. Liu, Z. Li, “Operation dota based modelling and performance monitoring of steam turbine regenerative system under full working conditions,” Chemical Engineering Transactions, 61, 127-132, 2017. DOI:10.3303/CET1761019.
  • [14] S. Malik, P.C. Tewari, “Performance modeling and maintenance priorities decision for the water flow system of a coalbased thermal power plant”, Int. J. Quality Reliab. Management, 35(4), pp. 996- 1010, 2018.
  • [15] R. Kumar, A.K. Sharma , P.C. Tewari, “Performance modeling of furnace draft air cycle in a thermal power plant”, Int. J. Eng. Sci. Technol., 3 (8), pp. 6792-6798, 2011.
  • [16] P.R. Kumar, V.R. Raju, N.R. Kumar, “Simulation and parametric optimization of thermal power plant cycles”, Perspect. Sci., 8, pp. 304-306, 2016.
  • [17] R. Kumar, “Performance evaluation and decision support system of the water circulation system of a steam thermal power plant”, Elixir Mech. Eng., 44, pp. 7551- 7557, 2012.
  • [18] A. Marjanović, Sanja Vujnović, Željko Ðurović, “One approach to temperature distribution control in thermal power plant boilers,” Automatika, 61:2, 273-283, 2020.
  • [19] E.K. Arakelyan, A.V. Andryushin, V.R. Sabanin, S.V. Mezin, F.F.Pashchenko “Use of Modern Information Technologies to Improve Energy Efficiency of Thermal Power Plant Operation”, 2017 J. Phys.: Conf. Ser. 891-012286, 2017.
  • [20] R. Patel Himanshukumar, Vipul A. Shah, “Fault Detection And Diagnosis Methods In Power Generation Plants - The Indian Power Generation Sector Perspective: An Introductory Review,” PDPU Journal of Energy & Management, pp. 31-49, 2018.
  • [21] Ya A Tynchenko and I V Kovalev, “Quality assessment of the fuel preparation production process at thermal power plants”, J. Phys.: Conf. Ser. 1515-052067, 2020.
  • [22] S. M. Kim, Y. Jin Joo, Implementation of on-line performance monitoring system at Seoincheon and Sinincheon combined cycle power plant, Energy, 30, 2383–2401, 2005.
  • [23] V. Verda, R. Borchiellini, “Exergy method for the diagnosis of energy systems using measured data”, Energy, Vol.32, pp.490- 498, 2007.
  • [24] A. S. Karakurt, Ü. Güneş, Performance Analysis Of A Steam Turbine Power Plant At Part Load Conditions , Journal of Thermal Engineering, Vol. 3, No. 2, pp. 1121-1128, 2017.
  • [25] H. Kim, M. Gyun Na, G. Heo, “Application Of Monitoring, Diagnosis, And Prognosis”, In Thermal Performance Analysis For Nuclear Power Plants, Nuclear Engineering And Technology, Vol. 46, Issue 6, pp. 737- 752, 2014.
  • [26] M. Bulut, “Designing Performance Monitoring And Evaluation System Of A Thermal Power Plant Using Process Parameters”, In Engineering And Architecture Sciences Theory, Current Researches And New Trends, Cetinje, Montenegro: Ivpe Int. Publishing, pp. 160- 185, 2020. Doi.10.5281/Zenodo.4101427.
  • [27] H. Hong, W.G. Yang, L. Zhong-Da, “PI database system and its application in power plant SIS”, Electric Power Automation Equipment, 11, 2004.
  • [28] J. Cai, X. Ma, Q. Li, “Online monitoring the performance of coal-fired power unit: A method based on support vector machine”, Applied Thermal Engineering, Vol.29, pp.2308-2319, 2009.
  • [29] L. Pan, D. Flynn, M. Cregan, “Statistical model for power plant performance monitoring and analysis”, Universities Power Engineering Conference, UPEC 2007. Vol.4, Issue 6, pp.121-126, 2007.
  • [30] H.A. Silva Mattos, C. Bringhent, D. F. Cavalca, O.F. Reis Silva, G.B. Campos, J. T. Tomita, “Combined Cycle Performance Evaluation and Dynamic Response Simulation”, Journal of Aerospace Techn. and Management. vol.8 no.4, 2016.
  • [31] Project Report, “Thermal power plant performance monitoring and evaluation system design and implementation”, TUBITAK Project No. 110G092, 2013.
  • [32] F. Vidian, Tomi, “Simulation of 25 MWe Steam Power Plants Using Gate Cycle, Int. Journal of Engineering and Advanced Technology (IJEAT), Vol. 8 Issue 6, 2019.

Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant

Year 2021, , 723 - 734, 30.06.2021
https://doi.org/10.16984/saufenbilder.820735

Abstract

Today, there are many electricity production methods. Thermal power plants are still widely used for electricity production from hydrocarbon sources as one of the electricity generation options. Due to their complex structure, thermal power plants are composed of sections that interact with each other, and they are called units. A change in the performance of any unit or equipment affects the operation of the entire plant positively or negatively. Therefore, performance monitoring and evaluation systems are designed to support the measurement and monitoring of the performance of plant and equipment. In order to increase the availability of the plant, equipment-based maintenance plans should be prepared according to the maintenance needs of the equipment. In this study, a power plant performance monitoring and evaluation system has been developed and designed using process parameters approach for the parameters affecting the performance of the plant. In order to monitor and evaluate the performance of thermal power plants, the requirements of the system were revealed and the efficiency and performance increases to be achieved by designing and using this system specific to a natural gas power plant were examined and results are given.

Project Number

Project No. 110G092

References

  • [1] World Bank Group, “Electricity production from oil, gas and coal sources”, 2020. https://data.worldbank.org/indicator/ Accesed 25 Sep 2020.
  • [2] K. Kawai, Y. Takizawa, S. Watanabe, “Advanced automation for powergeneration plants - past, present and future,” Control Engineering Practice 7, 1405-1411, 1999.
  • [3] S. Cafaro, L. Napoli, A. Traverso, A.F. Massardo, “Monitoring of the thermoeconomic performance in an actual combined cycle power plant bottoming cycle,” Energy, 35, 902–910, 2010.
  • [4] J. Cai, X. Ma, Q. Li, “On-line monitoring the performance of coal-fired power unit: A method based on support vector machine,” Applied Thermal Engineering, 29, 2308– 2319, 2009.
  • [5] A. Valero, MA Lozano,JL Bartolome, “Online monitoring of power-plant performance, using exergetic cost techniques,” Appl Therm Eng, 16:933–48, 1996.
  • [6] K. Swirski_, Power Plant Performance Monitoring Using Statistical Methodology Approach, Journal of Power Technologies, 91(2) pp. 63–76, 2011.
  • [7] L. Li, “Process Performance Monitoring and Degradation Analysis, In Thermal Power Plants,” Ed. Mohammad Rasul, IntechOpen, 2012. Doi: 10.5772/27335.
  • [8] M.B. Özdemir, T. Menlik, H.İ Variyenli, and L. Sevi, “Performance analysis and rehabilitation methods of a thermal power plant”, J. of Polytechnic, 20 (4): 971-978, 2017.
  • [9] B. Saha, V. Patel and K. Chaterjee, "Assessment of process parameter to improving power plant performance," 2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), Ghaziabad, pp. 441-446, 2014. doi: 10.1109/CIPECH.2014.7019125.
  • [10] T. Sudhakar, B. Anjaneya Prasad, K. Prahlada Rao, “Analysis of Process Parameters to Improve Power Plant Efficiency,” Journal of Mechanical and Civil Engineering (IOSR-JMCE), Volume 14, Issue 1 Ver. II, pp. 57-64, 2017.
  • [11] S. Vasilica Oprea and A. Bâra, “Key Technical Performance Indicators for Power Plants,” In Recent Improvements of Power Plants Management and Technology, Ed. Aleksandar B. Nikolic and Zarko S. Janda, IntechOpen, 2017. DOI: 10.5772/67858.
  • [12] J. M. Blanco, L. Vazquez, F. Peña, "Investigation on a new methodology for thermal power plant assessment through live diagnosis monitoring of selected process parameters; application to a case study," Energy, Elsevier, vol. 42(1), pp. 170-180, 2012.
  • [13] Z. Guo, S. Gu, P. Liu, Z. Li, “Operation dota based modelling and performance monitoring of steam turbine regenerative system under full working conditions,” Chemical Engineering Transactions, 61, 127-132, 2017. DOI:10.3303/CET1761019.
  • [14] S. Malik, P.C. Tewari, “Performance modeling and maintenance priorities decision for the water flow system of a coalbased thermal power plant”, Int. J. Quality Reliab. Management, 35(4), pp. 996- 1010, 2018.
  • [15] R. Kumar, A.K. Sharma , P.C. Tewari, “Performance modeling of furnace draft air cycle in a thermal power plant”, Int. J. Eng. Sci. Technol., 3 (8), pp. 6792-6798, 2011.
  • [16] P.R. Kumar, V.R. Raju, N.R. Kumar, “Simulation and parametric optimization of thermal power plant cycles”, Perspect. Sci., 8, pp. 304-306, 2016.
  • [17] R. Kumar, “Performance evaluation and decision support system of the water circulation system of a steam thermal power plant”, Elixir Mech. Eng., 44, pp. 7551- 7557, 2012.
  • [18] A. Marjanović, Sanja Vujnović, Željko Ðurović, “One approach to temperature distribution control in thermal power plant boilers,” Automatika, 61:2, 273-283, 2020.
  • [19] E.K. Arakelyan, A.V. Andryushin, V.R. Sabanin, S.V. Mezin, F.F.Pashchenko “Use of Modern Information Technologies to Improve Energy Efficiency of Thermal Power Plant Operation”, 2017 J. Phys.: Conf. Ser. 891-012286, 2017.
  • [20] R. Patel Himanshukumar, Vipul A. Shah, “Fault Detection And Diagnosis Methods In Power Generation Plants - The Indian Power Generation Sector Perspective: An Introductory Review,” PDPU Journal of Energy & Management, pp. 31-49, 2018.
  • [21] Ya A Tynchenko and I V Kovalev, “Quality assessment of the fuel preparation production process at thermal power plants”, J. Phys.: Conf. Ser. 1515-052067, 2020.
  • [22] S. M. Kim, Y. Jin Joo, Implementation of on-line performance monitoring system at Seoincheon and Sinincheon combined cycle power plant, Energy, 30, 2383–2401, 2005.
  • [23] V. Verda, R. Borchiellini, “Exergy method for the diagnosis of energy systems using measured data”, Energy, Vol.32, pp.490- 498, 2007.
  • [24] A. S. Karakurt, Ü. Güneş, Performance Analysis Of A Steam Turbine Power Plant At Part Load Conditions , Journal of Thermal Engineering, Vol. 3, No. 2, pp. 1121-1128, 2017.
  • [25] H. Kim, M. Gyun Na, G. Heo, “Application Of Monitoring, Diagnosis, And Prognosis”, In Thermal Performance Analysis For Nuclear Power Plants, Nuclear Engineering And Technology, Vol. 46, Issue 6, pp. 737- 752, 2014.
  • [26] M. Bulut, “Designing Performance Monitoring And Evaluation System Of A Thermal Power Plant Using Process Parameters”, In Engineering And Architecture Sciences Theory, Current Researches And New Trends, Cetinje, Montenegro: Ivpe Int. Publishing, pp. 160- 185, 2020. Doi.10.5281/Zenodo.4101427.
  • [27] H. Hong, W.G. Yang, L. Zhong-Da, “PI database system and its application in power plant SIS”, Electric Power Automation Equipment, 11, 2004.
  • [28] J. Cai, X. Ma, Q. Li, “Online monitoring the performance of coal-fired power unit: A method based on support vector machine”, Applied Thermal Engineering, Vol.29, pp.2308-2319, 2009.
  • [29] L. Pan, D. Flynn, M. Cregan, “Statistical model for power plant performance monitoring and analysis”, Universities Power Engineering Conference, UPEC 2007. Vol.4, Issue 6, pp.121-126, 2007.
  • [30] H.A. Silva Mattos, C. Bringhent, D. F. Cavalca, O.F. Reis Silva, G.B. Campos, J. T. Tomita, “Combined Cycle Performance Evaluation and Dynamic Response Simulation”, Journal of Aerospace Techn. and Management. vol.8 no.4, 2016.
  • [31] Project Report, “Thermal power plant performance monitoring and evaluation system design and implementation”, TUBITAK Project No. 110G092, 2013.
  • [32] F. Vidian, Tomi, “Simulation of 25 MWe Steam Power Plants Using Gate Cycle, Int. Journal of Engineering and Advanced Technology (IJEAT), Vol. 8 Issue 6, 2019.
There are 32 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Articles
Authors

Mehmet Bulut 0000-0003-3998-1785

Project Number Project No. 110G092
Publication Date June 30, 2021
Submission Date November 3, 2020
Acceptance Date April 20, 2021
Published in Issue Year 2021

Cite

APA Bulut, M. (2021). Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant. Sakarya University Journal of Science, 25(3), 723-734. https://doi.org/10.16984/saufenbilder.820735
AMA Bulut M. Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant. SAUJS. June 2021;25(3):723-734. doi:10.16984/saufenbilder.820735
Chicago Bulut, Mehmet. “Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant”. Sakarya University Journal of Science 25, no. 3 (June 2021): 723-34. https://doi.org/10.16984/saufenbilder.820735.
EndNote Bulut M (June 1, 2021) Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant. Sakarya University Journal of Science 25 3 723–734.
IEEE M. Bulut, “Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant”, SAUJS, vol. 25, no. 3, pp. 723–734, 2021, doi: 10.16984/saufenbilder.820735.
ISNAD Bulut, Mehmet. “Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant”. Sakarya University Journal of Science 25/3 (June 2021), 723-734. https://doi.org/10.16984/saufenbilder.820735.
JAMA Bulut M. Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant. SAUJS. 2021;25:723–734.
MLA Bulut, Mehmet. “Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant”. Sakarya University Journal of Science, vol. 25, no. 3, 2021, pp. 723-34, doi:10.16984/saufenbilder.820735.
Vancouver Bulut M. Developing A Process Parameter Based Performance Monitoring and Evaluation System for Power Plant. SAUJS. 2021;25(3):723-34.

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