Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit
Science Journal of Energy Engineering
Volume 6, Issue 4, December 2018, Pages: 49-53
Received: Nov. 10, 2018; Accepted: Dec. 21, 2018; Published: Jan. 22, 2019
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Ugwuoke Philip Emeka, Mechanical Engineering Department, Petroleum Training Institute, Effurun, Nigeria
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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.
Sensitivity Analysis, Unit Fuel Cost, Optimal Parameters, Genetic Algorithm
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Ugwuoke Philip Emeka, Determination of Unit Fuel Cost Effect on Optimal Designed Parameters of Delta IV Ughelli Gas Turbine Power Plant Unit, Science Journal of Energy Engineering. Vol. 6, No. 4, 2018, pp. 49-53. doi: 10.11648/j.sjee.20180604.11
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