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Abdel Rahman

Abdel Rahman

Alexandria University, Egypt

Title: Performance improvement of simple and combined cycle power plants by gas turbine inlet air conditioning using absorption cooling system

Biography

Biography: Abdel Rahman

Abstract

Simple and Combined Cycle Gas Turbines are involved in the production of 50% of the total electricity generated in Egypt. Despite of their numerous advantages, they are nevertheless negatively impacted by ambient temperature: on hot days power demand increases while gas turbine power falls. A significant de­crease in the generation efficiency occurs at high ambient temperature due to lower air density and the resulting increase in compressor specific work. Achieving substantial saving in produced electricity by adding an inlet air cooling system to gas turbine has become an approved and well recognized technology. In the present paper, an integration of a (Lithium Bromide–Water) absorption inlet air cooling scheme to a cooled gas turbine-based combined cycle was analyzed. The waste heat energy of the exhaust gas prior to the exit of the waste heat recovery steam generator was chosen to power the cooling system. Nubaria Power Station, 120 km South East of Alexandria has been selected as a reference plant for the present study. It includes 3 generation modules, each including 2*264 MW GT and 250 MW ST. A thermodynamic model of the overall integrated scheme of the cooling and power cycles is introduced. A parametric study of the effect of different operational conditions, namely;  ambient temperature, relative humidity, compressor inlet air temperature, and part load on performance parameters was carried out. The model shows an increase of 11% in the produced electricity when the inlet air was cooled from 30 oC to 10 oC, Also, harvesting of condensed fresh water at a rate of 3.5 gm per kg of inlet air at ambient relative humidity of 60%. The model results have been verified by observing the real performance of the plant at various ambient conditions and by comparison with ABSIM software results at similar working assumptions.