laterAnalysis of the energy efficiency of an environmental control system of a passenger aircraft by using the entropy-statistical method

Abstract

BACKGROUND: Aviation designers are striving to increase fuel efficiency of aircraft, including by increasing the efficiency of aircraft environmental control systems by reducing losses in its components.

AIM: This study performs an entropy-statistical analysis of the environmental control system of a passenger aircraft assesses efficiency losses in the units included in it.

MATERIALS AND METHODS: A static mathematical model of an environmental control system with moisture content control was developed to calculate the system parameters in various operating modes, for which an entropy-statistical analysis was performed.

RESULTS: Using entropy-statistical analysis, the main units of the system were examined, their influence on the overall efficiency of the environmental control system was assessed, and the advantages of the given method of entropy-statistical analysis for such systems were outlined. The mathematical model was developed using the Matlab Simulink software package.

CONCLUSIONS: A static mathematical model of an environmental control system with a three-wheel air cycle machine unit and a “loop” high-pressure dehumidification system was developed. An entropy-statistical analysis of the system was performed. The influence of the units included in the system on the efficiency of the system as a whole was assessed.

Keywords

entropy-statistical analysis / aircraft environmental control system

References

[1] Antonova NV, Dubrovin LD, Egorov EE, et al. Design of aviation air conditioning systems. Moscow: Mashinostroenie; 2006. (In Russ.)

[2] Антонова Н.В., Дубровин Л.Д., Егоров Е.Е. и др. Проектирование авиационных систем кондиционирования. М.: Машиностроение, 2006.

[3] Strizhenov EM, Chugaev SS, Zherdev AA. Mathematical Model of The Process of Circuit Charging of an Adsorption Methane Storage System. Chemical and Petroleum Engineering. 2019;54(9–10):760–770. doi: 10.1007/s10556-019-00545-5

[4] Strizhenov E.M., Chugaev S.S., Zherdev A.A. Mathematical Model of The Process of Circuit Charging of an Adsorption Methane Storage System // Chemical and Petroleum Engineering. 2019. Vol. 54, N. 9–10. P. 760–770. doi: 10.1007/s10556-019-00545-5

[5] Navasardyan ES, Antonov EA, Arkharov IA, et al. Modeling of Processes in Microcryogenic Gas Cooler. Chemical and Petroleum Engineering. 2016;51(9):649–655. doi: 10.1007/s10556-016-0101-0

[6] Navasardyan E.S., Antonov E.A., Arkharov I.A., et al. Modeling of Processes in Microcryogenic Gas Cooler // Chemical and Petroleum Engineering. 2016. Vol. 51, N. 9. P. 649–655. doi: 10.1007/s10556-016-0101-0

[7] Arkharov AM. Fundamentals of cryology. Entropy-statistical analysis of low-temperature systems. Moscow: MGTU im NE Baumana; 2014. (In Russ.)

[8] Архаров А.М. Основы криологии. Энтропийно-статистический анализ низкотемпературных систем. М.: МГТУ им. Н.Э.Баумана, 2014.

[9] Arkharov AM, Semenov VY, Krasnonosova SD. An Entropy-Statistical Analysis of a Natural Gas Liquefaction Plant with External Nitrogen Cooling Cycle. Chemical and Petroleum Engineering. 2016;51(11–12):725–735. doi: 10.1007/s10556-016-0113-9

[10] Arkharov A.M., Semenov V.Y., Krasnonosova S.D. An Entropy-Statistical Analysis of a Natural Gas Liquefaction Plant with External Nitrogen Cooling Cycle // Chemical and Petroleum Engineering. 2016. Vol. 51, N. 11–12. P. 725–735. doi: 10.1007/s10556-016-0113-9

[11] Arkharov AM, Semenov VY, Krasnonosova SD. Methodology of Statistical Entrophy Analysis of Small-Scale Natural Gas Liquefiers. Chemical and Petroleum Engineering. 2016;51(9):665–673. doi: 10.1007/s10556-016-0103-y

[12] Arkharov A.M., Semenov V.Y., Krasnonosova S.D. Methodology of Statistical Entrophy Analysis of Small-Scale Natural Gas Liquefiers // Chemical and Petroleum Engineering. 2016. Vol. 51, N. 9. P. 665–673. doi: 10.1007/s10556-016-0103-y

[13] Gareeva DT, Lavrov NA. Entropy Production and Energy Loss During Mixing of Gases. Chemical and Petroleum Engineering. 2016; 51(11–12):759–764. doi: 10.1007/s10556-016-0118-4

[14] Gareeva D.T., Lavrov N.A. Entropy Production and Energy Loss During Mixing of Gases // Chemical and Petroleum Engineering. 2016. Vol. 51, N. 11–12. P. 759–764. doi: s10556-016-0118-4

[15] Tishchenko IV, Zharov AA, Nikolaev VS, et al. Mathematical modeling of plate-fin heat exchanger in aircraft environmental control system. AIP Conference Proceedings. 2019;2195:020074 doi: 10.1063/1.5140174

[16] Tishchenko I.V., Zharov A.A., Nikolaev V.S., et al. Mathematical modeling of plate-fin heat exchanger in aircraft environmental control system // AIP Conference Proceedings. 2019. Vol. 2195. P. 020074 doi: 10.1063/1.5140174

[17] Zharov AA, Leonov VP, Tishchenko IV, et al. Designing a turbomachine of environmental control system for missile-carrier aircraft of air launch systems. AIP Conference Proceedings. 2019;2171:030012. doi: 10.1063/1.5133178

[18] Zharov A.A., Leonov V.P., Tishchenko I.V., et al. Designing a turbomachine of environmental control system for missile-carrier aircraft of air launch systems // AIP Conference Proceedings. 2019. Vol. 2171. P. 030012. doi: 10.1063/1.5133178

[19] Merkulov VI, Tishchenko IV, Abalakin SA. Entropy-statistical analysis of the air conditioning cycle of an aircraft. Izvestiya MGTU MAMI. 2020;14(3):29–35. doi: 10.31992/2074-0530-2020-45-3-29-35

[20] Меркулов В.И., Тищенко И.В., Абалакин С.А. Энтропийно-статистический анализ цикла системы кондиционирования воздуха самолета // Известия МГТУ “МАМИ“. 2020. Т. 14, № 3. C. 29–35. doi: 10.31992/2074-0530-2020-45-3-29-35

RIGHTS & PERMISSIONS

Eco-Vector