Operating Cost for Optimal Performance of 100MW Gas Turbine Unit of Ughelli Power Plant
American Journal of Electrical Power and Energy Systems
Volume 6, Issue 6, November 2017, Pages: 88-93
Received: Jul. 11, 2017; Accepted: Aug. 7, 2017; Published: Nov. 15, 2017
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Ugwuoke Philip Emeka, Mechanical Engineering Department, Petroleum Training Institute, Effurun, Nigeria
Obodeh Otunuya, Mechanical Engineering Department, Ambrose Alli University, Ekpoma, Nigeria
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The operating cost for optimal performance of 100MW Delta IV gas turbine unit of Ughelli power plant was determined using optimum operating parameters and exergoeconomics. The optimizatioon tool is an evolutionary algorithm known as Genetic Algorithm (GA). The computer application used in this work is written in Matlab (Version 2011b) programming language. Eight optimal operating parameters of the plant were involved; compressor inlet temperature (T1), compressor pressure ratio (rp), compressor isentropic efficiency (ηic), turbine isentropic efficiency (ηit), turbine exhaust temperature (T4), air mass flow rate (ma), fuel mass flow rate (mf) and fuel supply temperature (Tf). Eight decision variables were optimally adjusted by the Genetic Algorithm (GA) to minimize the objective function. An objective function representing the total operating cost of the plant was defined in terms of N per hour as sum of operating cost (relating to the fuel consumption), rate of capital cost (relating to capital investment and maintenance expenses), and rate of exergy destruction cost. The optimal values of the decision variables (constraints) were obtained by minimizing the objective function. The GA optimal results obtained were ma= 530kg/s, mf= 7.00g/s. The GA operating cost and the component GA optimum results for exergy destruction cost rate and capital investment cost rate required to sustain optimum performance were obtained. The operating cost (Ċf), cost of exergy destruction rate (ĊD) and capital investment cost rate (ZK) for the compressor, combustion chamber and turbine are: (Ċf) = N244.72 per hour giving a variation of -0.57%, ĊDc = N87,728.32 per hour giving a variation of +13.59%, (ŻC) = N936,016.00 per hour giving a variation of -37.6% , (ĊDCC) = N470,288 per hour, a variation of -88.73%, ŻCC = N93,160.8 per hour, a variation of +305.6%, ĊDt = N144,278.4 per hour, a variation of -84.31%, Żt = N1,428,252.8 per hour a variation of +160.1%. These variations were in relation to base results.
Operating Cost, Optimal Performance, Optimization, Exergoeconomic, Genetic Algorithm
To cite this article
Ugwuoke Philip Emeka, Obodeh Otunuya, Operating Cost for Optimal Performance of 100MW Gas Turbine Unit of Ughelli Power Plant, American Journal of Electrical Power and Energy Systems. Vol. 6, No. 6, 2017, pp. 88-93. doi: 10.11648/j.epes.20170606.12
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