THERMODYNAMIC OPTIMIZATION OF AN IRREVERSIBLE REGENERATED BRAYTON HEAT ENGINE USING MODIFIED ECOLOGICAL CRITERIA

Year 2020, Volume: 6 Issue: 1, 28 - 42, 06.01.2020

Ranjana Arora

https://doi.org/10.18186/thermal.671079

Cited By: 5

Abstract

The modified configuration of regenerated Brayton heat engine along with supplementary addition of heat in its irreversible mode is thermodynamically investigated and optimized. The definite temperature differential between system/reservoir is the source of external irreversibility and the losses because of rubbing/friction in turbine/compressor, regeneration heat losses and losses due to pressure drop are the internal irreversibilities considered in this analysis. The difference of output power and the exergy destruction rate, termed as ecological function, is thermodynamically optimized. It is found that regenerative effectiveness plays a vital role in obtaining maximum possible ecological function whereas output power and 1st law efficiency predominantly depends on the cold side effectiveness in the system. It is also observed that the thermodynamic performance of proposed system/device is prominently depends on the efficiency of the turbine and consequently less dependent on compressor efficiency. The major outcome of this analysis is that with the inclusion of additional thermal heats at constant temperature conditions, various performance parameters i.e., output power (about 13%) and 1st law efficiency (about 9%) of the model get improved significantly in comparison with the conventional gas power plant. Moreover, the model investigated in this study yields lesser output power, first law efficiency and ecological function and exactly follows the results/outcomes presented in the available literature at α1=α2=1, which are the pressure recovery coefficients at two ends.

Keywords

Modified Ecological Function, Irreversible Brayton Heat Engine, Regenerators

References

• [1] Angulo-Brown F. An ecological optimization criterion for finite time heat engines. Journal of Applied Physics 1991; 69 (11): 7465-7469.
• [2] Yan Z. Comment on ecological optimization criterion for finite time heat engines. Journal of Applied Physics 1993; 73(7): 3583.
• [3] Veccguarelli J, Kawall JG, Wallace JS. Analysis of a concept for increasing the efficiency of a Brayton cycle via isothermal heat addition. International Journal of Energy Research 1997; 21(2): 113-127.
• [4] Cheng CY, Chen CK. Ecological optimization of an endoreversible Brayton Cycle. Energy Conversion and Management 1998; 39: 33-44.
• [5] Cheng CY, Chen CK. Ecological optimization of an irreversible Brayton cycle. Journal Physics D: Applied Physics 1999; 32: 350-357.
• [6] Goktun S, Yavuz H. Thermal efficiency of a regenerative Brayton cycle with isothermal heat addition. Energy Conversion and Management 1999; 40: 1259-1266.
• [7] Erbay LB, Goktun S, Yavuz H. Optimal design of the regenerative gas turbine engine with isothermal heat addition. Applied Energy 2001; 68(3): 249-264.
• [8] Kaushik SC, Tyagi SK. Finite Time Thermodynamic analysis of an irreversible regenerative closed cycle Brayton heat engine. International Journal of Solar Energy 2002; 22: 141-151.
• [9] Arora R, Kaushik SC, Kumar R. Multi-objective optimization of an irreversible regenerative Brayton cycle using genetic algorithm. In 2015 Int Conf on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), IEEE 2015; 340-346. DOI: 10.1109/ABLAZE.2015.7155017
• [10] Ust Y, Safa A, Sahin B. Ecological performance analysis of an endoreversible regenerative Brayton heat engine. Applied Energy 2005; 80(3): 247-260.
• [11] Ust Yasin, Sahin B, Kodal A, Akcay IH. Ecological coefficient of performance analysis and optimization of an irreversible regenerative Brayton heat engine. Applied Energy 2006; 83: 558-572.
• [12] Arora R, Kaushik SC, Kumar R. Multi-objective thermodynamic optimization of solar parabolic dish Stirling heat engine with regenerative losses using NSGA-II and decision making. Applied Solar Energy 2016; 52 (4): 295-304.
• [13] Arora R, Kaushik SC, Kumar R, Arora R. Multi-objective thermo-economic optimization of solar parabolic dish Stirling heat engine with regenerative losses using NSGA-II and decision making. International Journal of Electrical Power & Energy Systems 2016; 74: 25-35.
• [14] Arora R, Kaushik SC, Kumar R. Multi-objective optimization of solar powered ericsson cycle using genetic algorithm and fuzzy decision making. In 2015 Int Conf on Advances in Computer Engineering and Applications (ICACEA), IEEE 2015; 553-558. DOI:10.1109/ICACEA.2015.7164754
• [15] Arora R, Kaushik SC, Kumar R. Multi-objective thermodynamic optimisation of solar parabolic dish Stirling heat engine using NSGA-II and decision making. International Journal of Renewable Energy Technology 2017; 8 (1): 64-92.
• [16] Kaushik SC, Tyagi SK, Singhal MK. Parametric study of an irreversible regenerative Brayton cycle with isothermal heat addition. Energy Conversion and Management 2003; 44: 2013-2025.
• [17] Tyagi SK, Kaushik SC, Tiwari V. Ecological optimization and parametric study of an irreversible regenerative modified Brayton cycle with isothermal heat addition, Entropy 2003; 5: 377-390.
• [18] Kumar Rajesh, Kaushik SC, Kumar Raj. Performance Analysis of an Irreversible Regenerative Brayton Cycle based on Ecological Optimization Criterion. International Journal of Thermal and Environment Engineering 2015; 9(1): 25-32.
• [19] Tyagi SK, Kaushik SC. Ecological optimization of an irreversible regenerative intercooled Brayton heat engine with direct heat loss. International Journal of Ambient Energy 2005; 26(2): 81-92.
• [20] Tyagi SK, Chen J, Kaushik SC. Optimal criterion based on the ecological function of an irreversible intercooled regenerative modified Brayton cycle. International Journal of Exergy 2005, 2(1): 90-107.
• [21] Xia D, Chen L, Sun F, Wu C. Universal ecological performance for endoreversible heat engine cycles. International Journal of Ambient Energy 2006; 27(1): 15-20.
• [22] Li J, Chen L, Sun F. Ecological performance of an endoreversible Carnot heat engine with complex heat transfer law. International Journal of Thermal Energy 2011; 30: 55-64.
• [23] Kumar R, Kaushik SC, Kumar R. Efficient power of Brayton heat engine with friction. International Journal of Engineering Research and Technology 2013, 6 (5): 643-650.
• [24] Kumar R, Kaushik SC, Kumar R. Power optimization of an Irreversible regenerative Brayton Cycle using isothermal heat addition. Journal of Thermal Engineering 2015; 1(4): 279-286.
• [25] Kaushik SC, Kumar R, Arora R. Thermo-economic optimization and parameteric study of an irreversible Brayton heat engine cycle. Journal of Thermal Engineering 2016; 2 (4): 861-870.
• [26] Arora R, Kaushik SC, Kumar R. Performance optimization of Brayton heat engine at maximum efficient power using temp. dependent specific heat of working fluid. Journal of Thermal Engineering 2015; 1 (2): 345-354.
• [27] Arora R, Kaushik SC, Kumar Raj, Arora R. Soft computing based multi-objective optimization of Brayton cycle power plant with isothermal heat addition using evolutionary algorithm and decision making. Applied Soft Computing 2016, 46: 267-283.
• [28] Kumar R, Kaushik SC, Kumar Raj, Hans R. Multi-objective thermodynamic optimization of irreversible regenerative Brayton cycle using evolutionary algorithm and decision making. Ain Shams Engineering Journal 2016; 7 (2): 741-753.
• [29] Razmara M, Bidarvatan M, Shahbakhti M, Robinett RD. Optimal exergy-based control of internal combustion engines. Applied Energy 2016, 183: 1389-1403.
• [30] Hajmohammadi MR. Design and analysis of multi-scale annular fins attached to a pin fin. International Journal of Refrigeration 2018; 88 (C): 16-23.
• [31] Hajmohammadi MR. Optimal design of tree-shaped inverted fins. International Journal of Heat and Mass Transfer 2018; 116: 1352-1360.
• [32] Hajmohammadi MR. Introducing a ψ-shaped cavity for cooling a heat generating medium. International Journal of Thermal Sciences 2017; 121: 204-212.
• [33] Hajmohammadi MR. Assessment of a lubricant based nanofluid application in a rotary system. Energy Conversion and Management 2017; 146: 78-86.
• [34] Arora R, Kaushik SC, Arora R. Multi-objective and multi-parameter optimization of two-stage thermoelectric generator in electrically series and parallel configurations through NSGA-II. Energy 2015; 91: 242-254.
• [35] Arora R, Kaushik SC, Arora R. Thermodynamic modeling and multi-objective optimization of two-stage thermoelectric generator in electrically series and parallel configurations. Applied Thermal Engineering 2016; 25 (103): 1312-1323.
• [36] Arora R, Arora R. Multiobjective optimization and analytical comparison of single‐ and 2‐stage (series/parallel) thermoelectric heat pumps. International Journal of Energy Research 2018; 42 (4): 1760-1778. https//doi.org/10.1002/er.3988
• [37] Arora R, Arora R. Multicriteria optimization based comprehensive comparative analyses of single- and two-stage (series/parallel) thermoelectric generators including the influence of Thomson effect. Journal of Renewable and Sustainable Energy 2018; 10 (4): 044701.
• [38] Arora R, Arora R. Performance Characteristics and Thermodynamic Investigations on Single-Stage Thermoelectric Generator and Heat Pump Systems. Pertanika Journal of Science & Technology 2018; 26 (4): 1975-1998.
• 39] Arora R, Arora R. Experimental Investigations and Exergetic Assessment of 1 kW Solar PV Plant. Pertanika Journal of Science & Technology 2018; 26 (4): 1881-1897.
• [40] Arora R, Arora R, Sridhara SN. Performance assessment of 186 kWp grid interactive solar photovoltaic plant in Northern India. International Journal of Ambient Energy 2019; 1-28. DOI: 10.1080/01430750.2019.1630312
• [41] Ahmed SU, Arora R. Quality characteristics optimization in CNC end milling of A36 K02600 using Taguchi’s approach coupled with artificial neural network and genetic algorithm. International Journal of System Assurance Engineering and Management 2019; 10(4):676-95.
• [42] Chiteka K, Arora R, Jain V. CFD Prediction of dust deposition and installation parametric optimisation for soiling mitigation in non-tracking solar PV modules. International Journal of Ambient Energy 2019; 5:1-14. https://doi.org/10.1080/01430750.2019.1594373
• [43] Mohanty S, Arora R, Parkash O. Performance prediction and comparative analysis for a designed, developed, and modeled counterflow heat exchanger using computational fluid dynamics. Computational Thermal Sciences: An International Journal 2019;11(5): 423-443.
• [44] Maputi ES, Arora R. Multi-objective spur gear design using teaching learning-based optimization and decision-making techniques. Cogent Engineering 2019; 6(1):1665396.
• [45] Chiteka K, Sridhara SN, Arora R. Numerical investigation of installation and environmental parameters on soiling of roof-mounted solar photovoltaic array. Cogent Engineering 2019;6(1):1649007
• [46] Chiteka K, Arora R, Sridhara SN. A method to predict solar photovoltaic soiling using artificial neural networks and multiple linear regression models. Energy Systems 2019; 1-22. https://doi.org/10.1007/s12667-019-00348-w
• [47] Arora R, Arora R. Parametric Investigations and Thermodynamic Optimization of Regenerative Brayton Heat Engine. In Advances in Fluid and Thermal Engineering 2019; pp. 753-762. Springer, Singapore
• [48] Maputi ES, Arora R. Design optimization of a three-stage transmission using advanced optimization techniques. International Journal for Simulation and Multidisciplinary Design Optimization 2019;10: A8.