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Atilgan R.,Anadolu University | Turan O.,Anadolu University | Aydin H.,TUSAS Engine Industries
Springer Proceedings in Physics | Year: 2014

Exergo-economic analysis is an unique combination of exergy analysis and cost analysis conducted at the component level. In exergo-economic analysis, cost of each exergy stream is determined. Inlet and outlet exergy streams of the each component are associated to a monetary cost. This is essential to detect costineffective processes and identify technical options which could improve the cost effectiveness of the overall energy system. In this study, exergo-economic analysis is applied to an aircraft turboprop engine. Analysis is based on experimental values at low torque condition (240 N m). Main components of investigated turboprop engine are the compressor, the combustor, the gas generator turbine, the free power turbine and the exhaust. Cost balance equations have been formed for all components individually and exergo-economic parameters including cost rates and unit exergy costs have been calculated for each component. © Springer International Publishing Switzerland 2014.

Atilgan R.,Anadolu University | Turan O.,Anadolu University | Altuntas T.,Anadolu University | Aydin H.,TUSAS Engine Industries | Synylo K.,National Aviation University
Energy | Year: 2013

To develop approaches that effectively reduce engine environmental effect of aircrafts, it is necessary to understand the mechanisms that have enabled improvements in thermodynamic efficiency of aircraft engines. In the present work, a turboprop engine used in regional aircrafts that produces 1948 shp and 640 N.m torque is examined using exergo-environmental method. The results show compressor, combustion chamber, gas generator turbine, power turbine and exhaust nozzle create 9%, 69%, 13%, 7%, 2% of total environmental impact of the engine, respectively. According to rates, the compressor and gas turbine can be considered first to improve in case of component related environmental impact. Furthermore, total component related environmental impact for the turboprop engine is found to be 2.26mPts/s for the constructional phase and 2.34mPts/s for the operation/maintenance phases. Accordingly, it is suggested that, in order to estimate environmental impact metric of aircrafts, the exergo-environmental analysis can be employed for aircraft propulsion systems. © 2013 Elsevier Ltd.

Aydin H.,TUSAS Engine Industries | Turan T.,Anadolu University | Karakoc T.H.,Anadolu University | Midilli A.,Recep Tayyip Erdogan University
Energy | Year: 2013

One of the key challenges for sustainable aviation is to reduce global and local environmental impacts. The scope of this study is analysed and discussed in detail for better understanding of sustainability performances of a turboprop aircraft. In this regard, this study presents exergetic sustainability indicators of the turboprop engine for eight flight phases. The results show that exergetic efficiency approaches a maximum value to be 29.2%, waste exergy ratio (to be 70.8%), exergetic destruction ratio (to be 0.41) and environmental effect factor (to be 2.43) become minimum values, whereas exergetic sustainability index approaches a maximum value (to be 0.41). The phases of taxi and landing for the turboprop aircraft have minimum exergy efficiency (to be 20.6%) and minimum exergetic sustainability index (to be 0.26). Accordingly, the exergetic efficiency, waste exergy ratio and exergetic sustainability index of the aircraft are reasonably well in the climb, maximum cruise/continuous, normal/maximum take-off and APR (automatic power reverse) phases. Finally, it is supposed that studying exergetic indicators for an aircraft enables how much improvement is possible for aircraft engines to achieve better sustainable aviation. © 2013 Published by Elsevier Ltd.

Baklacioglu T.,Anadolu University | Turan O.,Anadolu University | Aydin H.,TUSAS Engine Industries
Energy | Year: 2015

Genetic algorithm is utilized to design the optimum initial value of parameters and topology of the artificial neural network which is trained by applying the improved backpropagation algorithm using momentum factor so as to minimize the spent time and effort. In this study, a comprehensive dynamic modeling of turboprop engine components plant is accomplished using hybrid GA (genetic algorithm) ANN (artificial neural networks) strategy. The turboprop engine is equipped with main components such as compressor, combustor, gas turbine and power turbine. Newly derived GA-ANN model takes into account five independent engine variables (i.e., torque, power, gas generator speed, engine mass air flow and fuel flow). These dynamic variables are used as inputs of the ANN while exergy efficiencies of the components are considered as the output parameter of the network. The results show that the hybridization with the genetic algorithm has improved the accuracy even further compared to the trial-and-error case, and the estimated values of exergy efficiencies of the components obtained by the derived model provide a close fit with the reference data. © 2015 Elsevier Ltd.

Aydin H.,TUSAS Engine Industries
Energy | Year: 2014

The number of aero-derivative gas turbines used in cogeneration systems will continue to rise in following decades. This study is focused on detailed exergetic and exergo-economic analyses of an LM6000 gas turbine engine derived from CF6-80C2 aircraft turbofan engine. In this regard, balances of exergy and exergy costs for each components and LM6000 gas turbine engine are carefully considered in order to match exergetic and economic values. As a result of exergy analysis, exergetic efficiency of the LM6000 is obtained to be 39%. On the other hand, exergo-economic results show that exergy cost rate and unit exergy cost rate of the LM6000 are determined to be 3798.80 US$/h and 24.37 US$/GW, respectively. It is expected that results of this study are useful to identify the cost flows of fuel, products, and destructions and to regulate operation conditions and maintenance of aero-derivative gas turbine fleet. Furthermore, it will be beneficial of similar power generation systems in any environment. © 2014 Elsevier Ltd.

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