Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit

Ugwuoke Philip Emeka

doi:doi:10.11648/j.sjee.20180604.11

| Peer-Reviewed

Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit

Ugwuoke Philip Emeka

Published in Science Journal of Energy Engineering (Volume 6, Issue 4)

Received: 10 November 2018 Accepted: 21 December 2018 Published: 22 January 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The effect of variation on optimal decision variables with respect to unit cost of fuel (sensitivity analysis) for optimal performance of 100MW Delta IV ughelli gas turbine power plant unit was determined using optimal operating parameters and exergoeconomics. The optimization tool is an evolutionary algorithm known as Genetic Algorithm (GA). The computer application used in this work is written in matlab programming language. Eight optimal operating parameters of the plant were used: compressor inlet temperature (T₁), compressor pressure ratio (r_p), compressor isentropic efficiency (ɳ_ic), turbine isentropic efficiency (ɳ_it), turbine exhaust temperature (T_t). Air mass flow rate, fuel mass flow rate and fuel supply Temperature (T_f). These decision variables were optimally adjusted by the Genetic Algorithm (GA) to minimize the objective function. The objective function representing the total operating cost of the plant defined in terms of $ per hour is the sum of operating cost (i.e fuel consumption cost rate), rate of capital cost (i.e optimal investment and maintenance expenses) and rate of exergy destruction cost. The optimal values of the decision variables were obtained by minimizing the objective function. The determined values of the optimal operating variables were r_p = 9.76, ɳ_ic = 86.4%, ɳ_it = 89.12%, T₃ = 1,481.8K, ɳ_ε = 29%, ɳ _E = 31%, Total Cost Rate = 13292$/hr, W_t = 277.11MW, W_c = 169.63MW, air mass flow rate = 530kg/s and fuel mass flow rate = 7.00kg/s. The variation of optimal decision variables with unit cost of fuel showed that by increasing the unit fuel cost, the pressure ratio (r _p), compressor isentropic efficiency (ɳ_ic), exergy efficiency (ɳ_ε), Energy efficiency (ɳ _E), total cost rate, turbine output power (W_t) and compressor input power (W_c) increase. The increase in ɳ_ic, ɳ_ε, ɳ_E and W_t guarantees less exergy destruction in compressor and turbine as well as less net cycle fuel consumption and operating cost.

Published in	Science Journal of Energy Engineering (Volume 6, Issue 4)
DOI	10.11648/j.sjee.20180604.11
Page(s)	49-53
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Sensitivity Analysis, Unit Fuel Cost, Optimal Parameters, Genetic Algorithm

References

[1]	Bejan, A., Tsatsaronis, G. and Moran, M. (1996). Thermal Design and Optimization. Wiley, New York.
[2]	Coley, A. D. (1999); An Introduction to Genetic Algorithims for Scientists and Engineers, 2th Edition, World Scientific Publishing Co. Pte. Ltd, Singapore, 211pp.
[3]	Malhotra, R.; Singh, N. and Singh, Y. (2011); Genetic Algorithms: Concepts, Design for Optimization of Process Controllers, Computer and Information Science, Vol. 4, No. 2, pp. 39-54.
[4]	PHCN (2015); Ughelli Power Plant Logbook, Ughelli, Delta State, Nigeria.
[5]	Obodeh, O. and Ugwuoke, P. E. (2017); Optimal Operating Parameters Of 100mw Delta Iv Ughelli Gas Turbine Power Plant Unit, in press.
[6]	Moran, M. J. and Shapiro, H. (2000). Fundamentals of Engineering Thermodynamics, 4th Edition, Wiley, New York.
[7]	Khosravi, A.; Gorji-Bandpy, M. and Fazelpour, F. (2014); Optimization of a Gas Turbine Cycle by Genetic and PSO Algorithms, Journal of Middle East Applied Science and Technology (JMEAST), Issue 21, pp. 706-711.
[8]	Emefiele, G. (2016). MPR: Banks Raise Interest Rates on Existing Loans. Punch Newspapers, July 29.
[9]	Moran, M. J. (1982). Availability Analysis; A Guide to Efficient Energy Use, USA: Prentice Hall, Englewood Cliffs, N. J.
[10]	Ebadi, M. and Gorji-Bandpy, M. (2005). Exergetic Analysis of Gas Turbine Plants. International Journal of Exergy 2 (4), 31-39.
[11]	Gorji-Bandpy, M. and Goodarzian, H. (2011). Exergoeconomic Optimization of Gas Turbine Power Plant Operating Parameters Using Genetic Algorithm: A Case Study. J Thermal Science, 15, 43-54.
[12]	Srinivas, N. and Deb, K. (2002); Multi-Objective Optimization using Non-Dominated Sorting in Genetic Algorithms, Journal of Evolutional Computation, Vol. 2, No. 3, pp. 221-248.
[13]	Jomison Janawitz, James Masso and Christopher Childs (2015). Heavy-Duty Gas Turbine Operating and Maintenance Consideration Ger 3620M. GE Power and Water, Atlanta, Georgia, February.
[14]	Almasi A, Barzegra Avval H. Ahmadi P, Najafi A. F (2011) Thermodynamic modeling, energy and exergoeconomic analysis and optimization of mahshar gas turbine power plant.

Cite This Article

Plain Text BibTeX RIS

APA Style

Ugwuoke Philip Emeka. (2019). Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit. Science Journal of Energy Engineering, 6(4), 49-53. https://doi.org/10.11648/j.sjee.20180604.11

Copy | Download

ACS Style

Ugwuoke Philip Emeka. Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit. Sci. J. Energy Eng. 2019, 6(4), 49-53. doi: 10.11648/j.sjee.20180604.11

Copy | Download

AMA Style

Ugwuoke Philip Emeka. Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit. Sci J Energy Eng. 2019;6(4):49-53. doi: 10.11648/j.sjee.20180604.11

Copy | Download

@article{10.11648/j.sjee.20180604.11,
  author = {Ugwuoke Philip Emeka},
  title = {Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit},
  journal = {Science Journal of Energy Engineering},
  volume = {6},
  number = {4},
  pages = {49-53},
  doi = {10.11648/j.sjee.20180604.11},
  url = {https://doi.org/10.11648/j.sjee.20180604.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20180604.11},
  abstract = {The effect of variation on optimal decision variables with respect to unit cost of fuel (sensitivity analysis) for optimal performance of 100MW Delta IV ughelli gas turbine power plant unit was determined using optimal operating parameters and exergoeconomics. The optimization tool is an evolutionary algorithm known as Genetic Algorithm (GA). The computer application used in this work is written in matlab programming language. Eight optimal operating parameters of the plant were used: compressor inlet temperature (T1), compressor pressure ratio (rp), compressor isentropic efficiency (ɳic), turbine isentropic efficiency (ɳit), turbine exhaust temperature (Tt). Air mass flow rate, fuel mass flow rate and fuel supply Temperature (Tf). These decision variables were optimally adjusted by the Genetic Algorithm (GA) to minimize the objective function. The objective function representing the total operating cost of the plant defined in terms of $ per hour is the sum of operating cost (i.e fuel consumption cost rate), rate of capital cost (i.e optimal investment and maintenance expenses) and rate of exergy destruction cost. The optimal values of the decision variables were obtained by minimizing the objective function. The determined values of the optimal operating variables were rp = 9.76, ɳic = 86.4%, ɳit = 89.12%, T3  = 1,481.8K, ɳε = 29%, ɳ E = 31%, Total Cost Rate = 13292$/hr, Wt = 277.11MW, Wc = 169.63MW, air mass flow rate = 530kg/s and fuel mass flow rate  = 7.00kg/s. The variation of optimal decision variables with unit cost of fuel showed that by increasing the unit fuel cost, the pressure ratio (r p), compressor isentropic efficiency (ɳic), exergy efficiency (ɳε), Energy efficiency (ɳ E), total cost rate, turbine output power (Wt) and compressor input power (Wc) increase. The increase in ɳic, ɳε, ɳE and Wt guarantees less exergy destruction in compressor and turbine as well as less net cycle fuel consumption and operating cost.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit
AU  - Ugwuoke Philip Emeka
Y1  - 2019/01/22
PY  - 2019
N1  - https://doi.org/10.11648/j.sjee.20180604.11
DO  - 10.11648/j.sjee.20180604.11
T2  - Science Journal of Energy Engineering
JF  - Science Journal of Energy Engineering
JO  - Science Journal of Energy Engineering
SP  - 49
EP  - 53
PB  - Science Publishing Group
SN  - 2376-8126
UR  - https://doi.org/10.11648/j.sjee.20180604.11
AB  - The effect of variation on optimal decision variables with respect to unit cost of fuel (sensitivity analysis) for optimal performance of 100MW Delta IV ughelli gas turbine power plant unit was determined using optimal operating parameters and exergoeconomics. The optimization tool is an evolutionary algorithm known as Genetic Algorithm (GA). The computer application used in this work is written in matlab programming language. Eight optimal operating parameters of the plant were used: compressor inlet temperature (T1), compressor pressure ratio (rp), compressor isentropic efficiency (ɳic), turbine isentropic efficiency (ɳit), turbine exhaust temperature (Tt). Air mass flow rate, fuel mass flow rate and fuel supply Temperature (Tf). These decision variables were optimally adjusted by the Genetic Algorithm (GA) to minimize the objective function. The objective function representing the total operating cost of the plant defined in terms of $ per hour is the sum of operating cost (i.e fuel consumption cost rate), rate of capital cost (i.e optimal investment and maintenance expenses) and rate of exergy destruction cost. The optimal values of the decision variables were obtained by minimizing the objective function. The determined values of the optimal operating variables were rp = 9.76, ɳic = 86.4%, ɳit = 89.12%, T3  = 1,481.8K, ɳε = 29%, ɳ E = 31%, Total Cost Rate = 13292$/hr, Wt = 277.11MW, Wc = 169.63MW, air mass flow rate = 530kg/s and fuel mass flow rate  = 7.00kg/s. The variation of optimal decision variables with unit cost of fuel showed that by increasing the unit fuel cost, the pressure ratio (r p), compressor isentropic efficiency (ɳic), exergy efficiency (ɳε), Energy efficiency (ɳ E), total cost rate, turbine output power (Wt) and compressor input power (Wc) increase. The increase in ɳic, ɳε, ɳE and Wt guarantees less exergy destruction in compressor and turbine as well as less net cycle fuel consumption and operating cost.
VL  - 6
IS  - 4
ER  -

Copy | Download

Author Information

Ugwuoke Philip Emeka

Mechanical Engineering Department, Petroleum Training Institute, Effurun, Nigeria

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Ugwuoke Philip Emeka. (2019). Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit. Science Journal of Energy Engineering, 6(4), 49-53. https://doi.org/10.11648/j.sjee.20180604.11

Copy | Download

ACS Style

Ugwuoke Philip Emeka. Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit. Sci. J. Energy Eng. 2019, 6(4), 49-53. doi: 10.11648/j.sjee.20180604.11

Copy | Download

AMA Style

Ugwuoke Philip Emeka. Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit. Sci J Energy Eng. 2019;6(4):49-53. doi: 10.11648/j.sjee.20180604.11

Copy | Download

@article{10.11648/j.sjee.20180604.11,
  author = {Ugwuoke Philip Emeka},
  title = {Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit},
  journal = {Science Journal of Energy Engineering},
  volume = {6},
  number = {4},
  pages = {49-53},
  doi = {10.11648/j.sjee.20180604.11},
  url = {https://doi.org/10.11648/j.sjee.20180604.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20180604.11},
  abstract = {The effect of variation on optimal decision variables with respect to unit cost of fuel (sensitivity analysis) for optimal performance of 100MW Delta IV ughelli gas turbine power plant unit was determined using optimal operating parameters and exergoeconomics. The optimization tool is an evolutionary algorithm known as Genetic Algorithm (GA). The computer application used in this work is written in matlab programming language. Eight optimal operating parameters of the plant were used: compressor inlet temperature (T1), compressor pressure ratio (rp), compressor isentropic efficiency (ɳic), turbine isentropic efficiency (ɳit), turbine exhaust temperature (Tt). Air mass flow rate, fuel mass flow rate and fuel supply Temperature (Tf). These decision variables were optimally adjusted by the Genetic Algorithm (GA) to minimize the objective function. The objective function representing the total operating cost of the plant defined in terms of $ per hour is the sum of operating cost (i.e fuel consumption cost rate), rate of capital cost (i.e optimal investment and maintenance expenses) and rate of exergy destruction cost. The optimal values of the decision variables were obtained by minimizing the objective function. The determined values of the optimal operating variables were rp = 9.76, ɳic = 86.4%, ɳit = 89.12%, T3  = 1,481.8K, ɳε = 29%, ɳ E = 31%, Total Cost Rate = 13292$/hr, Wt = 277.11MW, Wc = 169.63MW, air mass flow rate = 530kg/s and fuel mass flow rate  = 7.00kg/s. The variation of optimal decision variables with unit cost of fuel showed that by increasing the unit fuel cost, the pressure ratio (r p), compressor isentropic efficiency (ɳic), exergy efficiency (ɳε), Energy efficiency (ɳ E), total cost rate, turbine output power (Wt) and compressor input power (Wc) increase. The increase in ɳic, ɳε, ɳE and Wt guarantees less exergy destruction in compressor and turbine as well as less net cycle fuel consumption and operating cost.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit
AU  - Ugwuoke Philip Emeka
Y1  - 2019/01/22
PY  - 2019
N1  - https://doi.org/10.11648/j.sjee.20180604.11
DO  - 10.11648/j.sjee.20180604.11
T2  - Science Journal of Energy Engineering
JF  - Science Journal of Energy Engineering
JO  - Science Journal of Energy Engineering
SP  - 49
EP  - 53
PB  - Science Publishing Group
SN  - 2376-8126
UR  - https://doi.org/10.11648/j.sjee.20180604.11
AB  - The effect of variation on optimal decision variables with respect to unit cost of fuel (sensitivity analysis) for optimal performance of 100MW Delta IV ughelli gas turbine power plant unit was determined using optimal operating parameters and exergoeconomics. The optimization tool is an evolutionary algorithm known as Genetic Algorithm (GA). The computer application used in this work is written in matlab programming language. Eight optimal operating parameters of the plant were used: compressor inlet temperature (T1), compressor pressure ratio (rp), compressor isentropic efficiency (ɳic), turbine isentropic efficiency (ɳit), turbine exhaust temperature (Tt). Air mass flow rate, fuel mass flow rate and fuel supply Temperature (Tf). These decision variables were optimally adjusted by the Genetic Algorithm (GA) to minimize the objective function. The objective function representing the total operating cost of the plant defined in terms of $ per hour is the sum of operating cost (i.e fuel consumption cost rate), rate of capital cost (i.e optimal investment and maintenance expenses) and rate of exergy destruction cost. The optimal values of the decision variables were obtained by minimizing the objective function. The determined values of the optimal operating variables were rp = 9.76, ɳic = 86.4%, ɳit = 89.12%, T3  = 1,481.8K, ɳε = 29%, ɳ E = 31%, Total Cost Rate = 13292$/hr, Wt = 277.11MW, Wc = 169.63MW, air mass flow rate = 530kg/s and fuel mass flow rate  = 7.00kg/s. The variation of optimal decision variables with unit cost of fuel showed that by increasing the unit fuel cost, the pressure ratio (r p), compressor isentropic efficiency (ɳic), exergy efficiency (ɳε), Energy efficiency (ɳ E), total cost rate, turbine output power (Wt) and compressor input power (Wc) increase. The increase in ɳic, ɳε, ɳE and Wt guarantees less exergy destruction in compressor and turbine as well as less net cycle fuel consumption and operating cost.
VL  - 6
IS  - 4
ER  -

Copy | Download