Performance Characteristics of GE Frame 8 Gas Turbine Power Plant at Different Climatic Zones in Nigeria

Yinka S Sanusi, John Ukanu, Hamisu A Dandajeh


Climatic conditions such as the ambient temperature and relative humidity has been reported to affect the performance of gas turbines. Nigeria has three major climatic zones: the tropical rain forest, savanna zone, and swampy zone. The different climatic conditions at these zones will affect the performance of power plant. In this work, the performance characteristics of a 125 MW General Electric (GE) frame 8 gas turbine plant were studied at these zones. Sokoto, Lagos and Delta states were used as the representative states for the Savanna zone, Tropical rain forest, and swampy zone, respectively. Thermodynamic analysis of various components of the gas turbine was carried out using Engineering Equation Solver (EES) software. The model developed was validated using operating data of 2016 for a currently installed power plant located in Ondo state, Nigeria. The predicted and actual power generated were observed to follow the same trend. The maximum deviation between the predicted power generated using the model developed and actual power generated is less than 4%. Results further showed that when relative humidity was considered, the power generated from the modeled gas turbine was higher than the power generated when the relative humidity was neglected. By neglecting the effect of humidity, the power output from a GE frame 8 gas turbine can be under-predicted by about 2.3%.  This represents an average daily under prediction of about 65 MWh. The power generated by GE frame 8 gas turbine in the month of January was highest in Sokoto state, while the power generated in the months of April, July and October were highest in power plant located in Delta state. The power plant located in Delta state will generate 6,157 MWh and 1,244 MWh more power annually than power plants located in Sokoto and Lagos state, respectively.

Kewords- Frame 8 gas turbine, Engineering Equation solver software, Performance characteristics, Nigeria, climatic zones

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