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Energy and power aspects of an experimental target drone engine at non-linear controller loads

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  • Yurdusevimli Metin, Ece
  • Aygün, Hakan

Abstract

Main idea of power scheduling for aero-engines is to decompose the complex nonlinear energy management and is to cover each break point in all operating conditions by digital engine control unit. In the current study, dynamic energetic and performance measures of an experimental small target drone turbojet engine are calculated at various shaft speeds in test-cell. In this context, some experiment test steps were conducted to measure the performance parameters of the engine at different shaft speeds. With the help of the calculated parameters, efficiencies, power and energy indexes of the engine are also determined. According to analysis, wasted power varies between 7.69 kW and 259.61 kW, while total power of the fluid is 10.2 kW at 25000 RPM and reaches 331.66 kW at 47500 RPM. As for engine efficiency results, with increasing RPM, thermal efficiency is strongly varying with 18.33%, whereas the change ratio of propulsive efficiency stays modest level with 5.17%. As a conclusion, it is expected that these assessments can be employed in the control law design of similar power system controller and also to increase the efficiency of existing systems.

Suggested Citation

  • Yurdusevimli Metin, Ece & Aygün, Hakan, 2019. "Energy and power aspects of an experimental target drone engine at non-linear controller loads," Energy, Elsevier, vol. 185(C), pages 981-993.
    • Handle: RePEc:eee:energy:v:185:y:2019:i:c:p:981-993
    DOI: 10.1016/j.energy.2019.07.103
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    References listed on IDEAS

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    1. Benini, Ernesto & Giacometti, Stefano, 2007. "Design, manufacturing and operation of a small turbojet-engine for research purposes," Applied Energy, Elsevier, vol. 84(11), pages 1102-1116, November.
    2. Atılgan, Ramazan & Turan, Önder & Altuntaş, Önder & Aydın, Hakan & Synylo, Kateryna, 2013. "Environmental impact assessment of a turboprop engine with the aid of exergy," Energy, Elsevier, vol. 58(C), pages 664-671.
    3. Şöhret, Yasin & Dinç, Ali & Karakoç, T. Hikmet, 2015. "Exergy analysis of a turbofan engine for an unmanned aerial vehicle during a surveillance mission," Energy, Elsevier, vol. 93(P1), pages 716-729.
    4. Turan, Onder & Aydin, Hakan, 2014. "Exergetic and exergo-economic analyses of an aero-derivative gas turbine engine," Energy, Elsevier, vol. 74(C), pages 638-650.
    5. Turan, Onder, 2012. "Exergetic effects of some design parameters on the small turbojet engine for unmanned air vehicle applications," Energy, Elsevier, vol. 46(1), pages 51-61.
    6. Adewole, Bamiji Z. & Abidakun, Olatunde A. & Asere, Abraham A., 2013. "Artificial neural network prediction of exhaust emissions and flame temperature in LPG (liquefied petroleum gas) fueled low swirl burner," Energy, Elsevier, vol. 61(C), pages 606-611.
    7. Lucia, Umberto, 2013. "Carnot efficiency: Why?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3513-3517.
    8. Dincer, I. & Hussain, M. M. & Al-Zaharnah, I., 2004. "Energy and exergy use in public and private sector of Saudi Arabia," Energy Policy, Elsevier, vol. 32(14), pages 1615-1624, September.
    9. Lucia, Umberto, 2015. "Quanta and entropy generation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 115-121.
    10. Çay, Yusuf & Korkmaz, Ibrahim & Çiçek, Adem & Kara, Fuat, 2013. "Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network," Energy, Elsevier, vol. 50(C), pages 177-186.
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    Cited by:

    1. Aygun, Hakan & Turan, Onder, 2021. "Exergo-economic analysis of off-design a target drone engine for reconnaissance mission flight," Energy, Elsevier, vol. 224(C).
    2. Atilgan, Ramazan & Onder Turan,, 2020. "Economy and exergy of aircraft turboprop engine at dynamic loads," Energy, Elsevier, vol. 213(C).
    3. Murshed, Shabab & Nibir, Abu Shaikh & Razzaque, Md. Abdur & Roy, Palash & Elhendi, Ahmed Zohier & Hassan, Md. Rafiul & Hassan, Mohammad Mehedi, 2024. "Weighted fair energy transfer in a UAV network: A multi-agent deep reinforcement learning approach," Energy, Elsevier, vol. 292(C).
    4. Aygun, Hakan & Turan, Onder, 2022. "Application of genetic algorithm in exergy and sustainability: A case of aero-gas turbine engine at cruise phase," Energy, Elsevier, vol. 238(PA).
    5. Aygun, Hakan & Cilgin, Mehmet Emin & Turan, Onder, 2021. "Exergo-sustainability indicators of a target drone engine at dynamic loads," Energy, Elsevier, vol. 221(C).
    6. Aygun, Hakan & Turan, Onder, 2020. "Exergo-economic cost analysis for a long-range transport aircraft propulsion system at non-linear power loads," Energy, Elsevier, vol. 204(C).

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