Performance Analysis of an Atkinson Cycle Engine under Effective Power and Effective Power Density Conditions

• Authors: G. Gonca
• Languages of publication: EN

Abstracts

EN

This study presents performance optimization of an Atkinson cycle engine using criteria named as effective power and effective power density conditions. The effects of design and operating parameters such as compression ratio, cycle pressure ratio, cycle temperature ratio, equivalence ratio, bore/stroke ratio, inlet temperature, inlet pressure, engine speed, friction coefficient, mean piston speed and stroke length, on the performance characteristics have been examined. Moreover, the energy losses have been determined as fuel energy and they have been classified as incomplete combustion losses, friction losses, heat transfer losses, and exhaust output losses. Realistic values of specific heats have been used depending on temperature of working fluid. The results of the study can be assessed as an engineering tool by the Atkinson cycle engine designers.

Keywords

EN

gasoline engine; Atkinson cycle; engine performance; power density; finite-time thermodynamics

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2017
• Volume: 132
• Issue: 4
• Pages: 1306-1313

Dates

published

2017-10

received

2016-11-16

(unknown)

2017-05-20

Contributors

author

G. Gonca

• Yildiz Technical University, Naval Arch. and Marine Eng. Depart., Besiktas, Istanbul, Turkey

References

• [1] Y.Ge, L. Chen, F. Sun, C. Wu, Int. Commun. Heat Mass Transfer 32, 1045 (2005), doi: 10.1016/j.icheatmasstransfer.2005.02.002
• [2] Y. Ge, L. Chen, F. Sun, C. Wu, Int. J. Ambient Energy 26, 203 (2005), doi: 10.1080/01430750.2005.9674991
• [3] L. Chen, Y. Ge, F. Sun, C. Wu, Termotehnica 14, 24 (2010) http://agir.ro/buletine/880.pdf
• [4] L. Chen, Y. Ge, F. Sun, C. Wu, Int. J. Ambient Energy 32, 87 (2011), doi: 10.1080/01430750.2011.584457
• [5] A. Al-Sarkhi, B.A. Akash, J.O. Jaber, M.S. Mohsen, E. Abu-Nada, Int. Commun. Heat Mass 29, 1159 (2002), doi: 10.1016/S0735-1933(02)00444-X
• [6] A. Al-Sarkhi, I. Al-Hinti, E. Abu-Nada, B. Akash, Int. Commun. Heat Mass 34, 897 (2007), doi: 10.1016/j.icheatmasstransfer.2007.03.012
• [7] R. Ebrahimi, Comput. Math. Appl. 62, 2169 (2011), doi: 10.1016/j.camwa.2011.07.002
• [8] R. Ebrahimi, Appl. Math. Model 36, 4073 (2012), doi: 10.1016/j.apm.2011.11.031
• [9] G. Gonca, B. Sahin, Y. Ust, Energy 5, 285 (2013), doi: 10.1016/j.energy.2013.02.004
• [10] G. Gonca, B. Sahin, Y. Ust, A. Parlak, Arab. J. Sci. Eng. 38, 383 (2013), doi: 10.1007/s13369-012-0437-5
• [11] G. Gonca, B. Sahin, Y. Ust, A. Parlak, A. Safa, J. Energy Inst. 88, 43 (2015), doi: 10.1016/j.joei.2014.04.007
• [12] G. Gonca, B. Sahin, Y. Ust, J. Thermophys. Heat Transf. 29, 678 (2015), doi: 10.2514/1.T4512
• [13] G. Gonca, B. Sahin, Y. Ust, A. Parlak, Appl. Therm. Eng. 85, 9 (2015), doi: 10.1016/j.applthermaleng.2015.02.041
• [14] G. Gonca, B. Sahin, Appl. Therm. Eng. 105, 566 (2016), doi: 10.1016/j.applthermaleng.2016.03.046
• [15] G. Gonca, B. Sahin, A. Parlak, Y. Ust, V. Ayhan, I. Cesur, Energy 78, 266 (2014), doi: 10.1016/j.energy.2014.10.002
• [16] G. Gonca, B. Sahin, A. Parlak, Y. Ust, V. Ayhan, I. Cesur, Appl. Energy 138, 11 (2015), doi: 10.1016/j.apenergy.2014.10.043
• [17] G. Gonca, B. Sahin, A. Parlak, V. Ayhan, I. Cesur, S. Koksal, Energy 93, 795 (2015), doi: 10.1016/j.energy.2015.08.032
• [18] Y. Ust, F. Arslan, I. Ozsari, M. Cakir, Energy 90, 552 (2015), doi: 10.1016/j.energy.2015.07.081
• [19] G. Gonca, B. Sahin, Appl. Math. Model. 40, 3764 (2016), doi: 10.1016/j.apm.2015.10.044
• [20] E.Dobrucali, Energy 103, 119 (2016), doi: 10.1016/j.energy.2016.02.160
• [21] A. Mousapour, A. Hajipour, M.M. Rashidi, N. Freidoonimehr, Energy 94, 100 (2016), doi: 10.1016/j.energy.2015.10.073
• [22] P.Y. Wang, S.S. Hou, Energy Convers. Manage. 46, 2637 (2005), doi: 10.1016/j.enconman.2004.11.005
• [23] Y. Ge, L. Chen, F. Sun, C. Wu, Appl. Energy 83, 1210 (2006), doi: 10.1016/j.apenergy.2005.12.003
• [24] J.C. Lin, S.S. Hou, Appl. Energy 84, 904 (2007), doi: 10.1016/j.apenergy.2007.02.010
• [25] J. Benajes, J.R. Serrano, S. Molina, R. Novella, Energy Convers. Manage. 50, 174 (2009), doi: 10.1016/j.enconman.2008.08.034
• [26] R. Ebrahimi, Math. Comput. Model. 53, 1289 (2011), doi: 10.1016/j.mcm.2010.12.015
• [27] J. Zhao, M. Xu, M. Li, B. Wang, S. Liu, Appl. Energy 92, 492 (2012), doi: 10.1016/j.apenergy.2011.11.060
• [28] M.H. Gahruei, H.S. Jeshvaghani, S. Vahidi, L. Chen, Appl. Math. Model. 37, 7319 (2013), doi: 10.1016/j.apm.2013.02.025
• [29] J. Zhao, M. Xu, Appl. Energy 71, 335 (2013), doi: 10.1016/j.apenergy.2012.12.061
• [30] A. Mozaffari, A. Ramiar, A. Fathi, Swarm Evolut. Comput. 12, 74 (2013), doi: 10.1016/j.swevo.2013.01.002
• [31] P. Capaldi, Appl. Therm. Eng. 71, 913 (2014), doi: 10.1016/j.applthermaleng.2014.02.035
• [32] G. Gonca, B. Sahin, Sci. World J. 2014, 815787 (2014), doi: 10.1155/2014/815787
• [33] G. Gonca, Energy Convers. Manage. 111, 205 (2016), doi: 10.1016/j.enconman.2015.12.059
• [34] G. Gonca, Appl. Math. Model. 40, 6725 (2016), doi: 10.1016/j.apm.2016.02.010
• [35] R. Ebrahimi, Acta. Phys. Pol. A 120, 384 (2011), doi: 10.12693/APhysPolA.120.384
• [36] R. Ebrahimi, Acta. Phys. Pol. A 122, 645 (2012), doi: 10.12693/APhysPolA.122.645
• [37] R. Ebrahimi, Acta. Phys. Pol. A 124, 29 (2013), doi: 10.12693/APhysPolA.124.29
• [38] G. Gonca, Polish Maritime Research 24, 86 (2017), doi: 10.1515/pomr-2017-0093
• [39] Y. Ge, L. Chen, F. Sun, C. Wu, Appl. Energy 85, 618 (2008), doi: 10.1016/j.apenergy.2007.09.008
• [40] F-Chart Software, EES Academic Professional Edition, 2014, V.9.701-3D http://fchart.com/
• [41] C.R. Ferguson, Internal Combustion Engines - Applied Thermosciences, Wiley, New York 1986
• [42] G. Hohenberg, Advanced Approaches for Heat Transfer Calculations, SAE Technical Paper 790825, 61 (1979), doi: 10.4271/790825
• [43] J. Lin, L. Chen, C. Wu, F. Sun, Int. J. Energy Res. 23, 765 (1999), doi: 10.1002/(SICI)1099-114X(199907)23:93.0.CO;2-Z

Identifiers

DOI

10.12693/APhysPolA.132.1306