2013
DOI: 10.1016/j.renene.2013.05.005
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Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss

Abstract: a b s t r a c tIn the recent years, numerous studies have been done on Stirling cycle and Stirling engine which have been resulted in different output power and engine thermal efficiency analyses. Finite speed thermodynamic analysis is one of the most prominent ways which considers external irreversibilities. In the present study, output power and engine thermal efficiency are optimized and total pressure losses are minimized using NSGA algorithm and finite speed thermodynamic analysis. The results are success… Show more

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Cited by 195 publications
(82 citation statements)
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“…The gas flow direction must be taken into account to calculate this temperature:if dm c < 0, then T 9 = T 10 else T 9 = T 8 . The elementary mass variation within the expansion space can be obtained using the same reasoning as for compression space: dm e ¼ pdV e þ V e dp γ rT 3 (13) where T 3 is the interface temperature between the hot volume and the expansion space.…”
Section: Adiabatic Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The gas flow direction must be taken into account to calculate this temperature:if dm c < 0, then T 9 = T 10 else T 9 = T 8 . The elementary mass variation within the expansion space can be obtained using the same reasoning as for compression space: dm e ¼ pdV e þ V e dp γ rT 3 (13) where T 3 is the interface temperature between the hot volume and the expansion space.…”
Section: Adiabatic Analysismentioning
confidence: 99%
“…They have a remarkable energetic efficiency, a noiseless operation and require maintenance at long intervals, having a long lifetime. Previous works were published concerning thermodynamic optimization: finite transfer rate [1][2][3], finite speed [4][5][6][7][8][9], finite size finite speed of revolution [10][11][12], or multi-objective optimization [13][14][15][16][17][18]. However, Stirling engines require efficient cooling in order to operate correctly.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, in this study, the EGN is a dimensionless objective while the system upfront cost is a dimensional objective. It is therefore necessary to non-dimensionalize the objective vectors before the decision-making process [30,32].…”
Section: Decision-making In the Multi-objective Design Optimizationmentioning
confidence: 99%
“…In this study, the solutions on the Pareto frontier are normalized using a fuzzy nondimensionalization method, in which the non-dimensional objective function (F ij n ), is defined by Equation (5) for minimizing objectives or Equation (6) for maximizing objectives [32]. …”
Section: Decision-making In the Multi-objective Design Optimizationmentioning
confidence: 99%
“…Formosa and Despesse [10] developed a model to investigate heat exchanger efficiency and regenerator flaws for a Stirling engine, and examined the effects of regeneration on thermal efficiency and output power. Also, a smart model to predict Stirling heat engine power output using an evolutionary approach was developed by Ahmadi et al [11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%