Efficiency, thrust, and fuel consumption optimization of a subsonic/sonic turbojet engine

Patel, Vivek; Savsani, Vimal; Mudgal, Anurag

doi:10.1016/j.energy.2017.12.080

Cited by 37 publications

(18 citation statements)

References 27 publications

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“…Detailed pseudocode of the HTS algorithm is given in Figure . Few application of HTS algorithm for the optimization of engineering system are available in the literature …”

Section: Hts Algorithmmentioning

confidence: 99%

A multiobjective thermodynamic optimization of a nanoscale Stirling engine operated with Maxwell‐Boltzmann gas

Shah

Saliya

Raja

et al. 2019

Heat Trans. Asian Res.

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Recent developments in nanotechnology provided an opportunity to solve many complex problems in the field of energy. Performance investigation of the nanoscale thermal cycles can prove crucial in the development of efficient and less polluting energy system. Due to the influence of boundary phenomenon and quantum degeneracy effects, a nanoscale engine performs according to statistical quantum thermodynamics instead of classical thermodynamics. In this study, a nanoscale Stirling engine operating on an ideal Maxwell-Boltzmann gas is investigated for multiobjective optimization.Optimization problem of Stirling cycle is formed considering the thermal efficiency, ecological coefficient of performance and entropy generation. An application example of a nanoscale Stirling engine is presented and solved using Heat Transfer Search algorithm. Maxwell-Boltzmann gas restricted in a finite domain is studied and the effect of different parameters, such as surface area ratio, volume ratio, and temperature ratio of the domain, is investigated. Sensitivity analysis is carried out to identify the effect of design variables on the performance parameters. Further, influence of the source temperature and the number of particles of working fluid on the objective functions is studied and presented.

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“…Detailed pseudocode of the HTS algorithm is given in Figure . Few application of HTS algorithm for the optimization of engineering system are available in the literature …”

Section: Hts Algorithmmentioning

confidence: 99%

A multiobjective thermodynamic optimization of a nanoscale Stirling engine operated with Maxwell‐Boltzmann gas

Shah

Saliya

Raja

et al. 2019

Heat Trans. Asian Res.

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“…Multi‐objective heat transfer search (MOHTS) algorithm renders simultaneous solutions for more than one objective function. MOHTS algorithm incorporates the nondominated solution and save the obtained solutions in an external archive . The MOHTS algorithm uses Ɛ ‐dominance based updating method to check the domination of the solution in the archive.…”

Section: Heat Transfer Search (Hts) Algorithmmentioning

confidence: 99%

“…MOHTS algorithm incorporates the nondominated solution and save the obtained solutions in an external archive. 53 The MOHTS algorithm uses Ɛ-dominance based updating method to check the domination of the solution in the archive. Extended details about MOHTS algorithm is documented in the references.…”

Section: Heat Transfer Search (Hts) Algorithmmentioning

confidence: 99%

Comparative analysis of nanofluid‐based Organic Rankine Cycle through thermoeconomic optimization

Prajapati

Patel

2019

Heat Trans. Asian Res.

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The present work focused on the comparative analysis of organic Rankine cycle (ORC) operated with nanoparticles. The effect of CuO and Al2O 3 nanoparticles synthesized with water and circulated within heat exchangers are examined. Thermal efficiency and levelized energy cost (LEC) of the nanofluid based ORC are evaluated simultaneously in the present work. The optimization problem of ORC is formed and solved using heat transfer search algorithm. Operating parameters of the nanofluid based ORC such as pinch point temperature difference of heat exchangers, evaporation pressure, the mass flow rate of refrigerant, and concentration of nanoparticles are investigated in the optimization study. Further, the effect of turbine ratio, heat source temperature, and mass flow rate of heat source fluid on CuO and Al 2O 3 based ORC is explored and discussed. It was observed that a total variation of 35.2% was obtained at the cost of 3.5% variation in LEC between extreme design points. The maximum thermal efficiency of 19.3% and 19.32% can be obtained with CuO and Al 2O 3 with 2.616 and 2.62 $/kWh, respectively. Comparative results reveal that CuO based ORC shows dominance in terms of economic performance over Al 2O 3 based ORC for any given value of the thermal efficiency.

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“…Multi objective heat transfer search (MOHTS) algorithm renders simultaneous solutions for more than one objective function. MOHTS algorithm incorporates the non-dominated solution and save the obtained solutions in an external archive [18]. The MOHTS algorithm uses Ɛ-dominance based updating method to check the domination of the solution in the archive [19].…”

Section: Optimizationmentioning

confidence: 99%

Multi-objective optimization of CuO based organic Rankine cycle operated using R245ca

Prajapati

Patel

2019

E3S Web Conf.

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The present work deals with multi objective optimization of nanofluid based Organic Rankine Cycle (ORC) to utilise waste heat energy. Working fluid considered for the study is R245ca for its good thermodynamic properties and lower Global Warming Potential (GWP) compared to the conventional fluids used in the waste heat recovery system. Heat Transfer Search (HTS) algorithm is used to optimize the objective functions which tends to maximize thermal efficiency and minimize Levelised Energy Cost (LEC). To enhance heat transfer between the working fluid and source fluid, nanoparticles are added to the source fluid. Application of nanofluids in the heat transfer system helps in maximizing recovery of the waste heat in the heat exchangers. Based on the availability and cost, CuO nanoparticles are considered for the study. Effect of Pinch Point Temperature Difference (PPTD) and concentration of nanoparticles in heat exchangers is studied and discussed. Results showed that nanofluids based ORC gives maximum thermal efficiency of 18.50% at LEC of 2.59 $/kWh. Total reduction of 7.11% in LEC can be achieved using nanofluids.

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Efficiency, thrust, and fuel consumption optimization of a subsonic/sonic turbojet engine

Cited by 37 publications

References 27 publications

A multiobjective thermodynamic optimization of a nanoscale Stirling engine operated with Maxwell‐Boltzmann gas

A multiobjective thermodynamic optimization of a nanoscale Stirling engine operated with Maxwell‐Boltzmann gas

Comparative analysis of nanofluid‐based Organic Rankine Cycle through thermoeconomic optimization

Multi-objective optimization of CuO based organic Rankine cycle operated using R245ca

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