THERMODYNAMICS Revista Mexicana de Fı́sica S 59 (1) 224–229 FEBRUARY 2013 Qualitative and quantitative optimization of a standard irreversible Brayton cycle G. Aragón-Camarasa CVGG, School of Computing Science, University of Glasgow, 17 Lilybank Gardens, Glasgow G12 8QQ. Scotland, UK. G. Aragón-González∗ , † A. Canales-Palma, A. León-Galicia. PDPA. UAM- Azcapotzalco. Av. San Pablo # 180. Col. Reynosa. Azcapotzalco, 02200, D.F. Teléfono y FAX: (55) 5318-9057. Received 30 de junio de 2011; accepted 30 de noviembre de 2011 A Brayton cycle with, external and internal irreversibilities, is analyzed. Optimization of the dimensionless work with respect to two parameters: the isentropic temperatures ratio and the allocation ratio of the heat exchangers, is performed. The qualitative and asymptotic behaviour of the coupled optimal analytic expressions obtained are presented. Using realistic numerical values of the isentropic efficiencies, optimal analytic expressions for both optimal parameters and for the efficiency to maximum work, by an approximation, are obtained (quantitative behaviour). This approximation, from a thermodynamic point of view, maintains, combines, perturbs and extends the optimal operation conditions of the non-isentropic and endoreversible models. A remarkable correlation between the optimal effectiveness from the heat exchangers from hot and cold sides, is obtained, which has not appeared and is different to the one used in the relevant literature. Keywords: Brayton cycle; effectiveness; qualitative and quantitative optimization; work. Se analiza un ciclo Brayton con irreversibilidades externas e internas. Se realiza la optimización del trabajo adimensional respecto a dos parámetros: razón de las temperaturas isentrópicas y la razón de las dimensiones de los intercambiadores de calores. Con base en valores numéricos realı́sticos de eficiencias isentrópicas, se obtienen, mediante una aproximación, las expresiones analı́ticas para ambos parámetros óptimos y para la eficiencia para trabajo máximo. Desde un punto de vista termodinámico, esta aproximación mantiene, combina, perturba y extiende las condiciones de operación óptimas de los modelos no-isentrópico y endoreversible. Se obtiene una correlación notable de las efectividades óptimas de los intercambiadores de calor de los lados caliente y frı́?o, la cual no ha aparecido y es diferente a la usada en la literatura relevante. Descriptores: Ciclo Brayton; comportamiento cualitativo y cuantitativo; efectividades; trabajo. PACS: 44.60.+k; 44-90.+c 1. Introduction The air standard Brayton cycle has been used as a model for the gas turbine heat engine. Currently, researchers have renewed the rationale of Brayton-like cycles by considering more practical aspects of the entropy generation, power, power-density, efficiency optimization and so on. Bejan [1] showed that, if the entropy generation is minimum, the efficiency corresponding to the endoreversible model the Chambadal-Novikov-Curzon-Ahlborn (CNCA) efficiency [2] and the optimal allocation (size) of hot- and cold-side heat exchangers is balanced. Formerly, Leff [3] focused on the totally reversible Brayton cycle and obtained that the efficiency to maximum work corresponds to the CNCA efficiency. Wu et. al [4] studied a non-isentropic model and found that the isentropic temperatures ratio (pressure ratio), that maximizes the work, is the same as a CNCA-like engine ([5] and [6]). In [7] was optimized the endoreversible model by log-mean temperature difference for heat exchangers from hot and cold sides and assumed that it was internally a Carnot cycle. Likewise, Blank [8] optimized the power for an open Brayton cycle. Chen et. al [9] also conducted the numerical optimization for density power and distribution of the heat exchangers operation for the endoreversible Brayton cycle. Other optimiza- tions of Brayton-like cycle can be found in the following reviews [2] and [10]. Recent optimizations of several objective functions (power, density power, efficiency, ecological function, entropy, ecological coefficient, and so forth) for extended Brayton cycles (regenerative, intercooled, reheating, with variable-temperature heat reservoirs, with pressure drop and finite size heat exchangers and so on) were made in [11][19]. The optimizations of these objective functions, where some of the optimum performance parameters were replaced (for instance, balanced allocation or same effectiveness [6] for the heat exchangers into the hot and cold side) as in [6], were also made numerically, and only for a typical set of operating conditions previously established [9-11] and [15-19]. Albeit, if the objective function depends of two or more variables; then the optimization must be total. Partial optimizations can provide results completely different as has been indicated in [12] in reference to [9]. In general, the obtained optimal analytical expressions cannot be uncoupled since they are too cumbersome. On the other hand, [6] established a criterion to maximize the irreversible efficiency when the efficiency depends on only one parameter: the isentropic temperatures ratio. It was applied for the non-isentropic model and for a Brayton model (standard irreversible Brayton cycle) with in- QUALITATIVE AND QUANTITATIVE OPTIMIZATION OF A STANDARD IRREVERSIBLE BRAYTON CYCLE 225 ternal (given by the isentropic efficiencies) and external irreversibilities of the heat transfer by the effectiveness (ratio between transferred heat and maximum transferable heat) or number of heat transfer units for single-pass counterflow heat exchangers (ε-NTU method [20]). Later, in [19] was obtained the maximum work and an unbalanced allocation by a qualitative analysis and a numerical approximation for this Brayton cycle. In what follows, the same standard irreversible Brayton cycle (Fig. 1 below) is chosen because of its simplicity to account for two of the main irreversibilities that usually arise in real power plants: finite rate heat transfer between the working fluid and internal dissipation of the working fluid. Whence, we have focused in combining (perturbing) the optimal operation conditions of the non-isentropic and endoreversible cycles and, consequently, we proposed further extension of them. In this paper, a qualitative and quantitative optimization of a standard irreversible Brayton cycle which extends (perturbing) the optimal operation conditions of the nonisentropic and endoreversible models is discussed. As a result, a approximated correlation between the optimal effectiveness has been found and consequently the allocation is always unbalanced for other Brayton cycle which do not correspond to the non-isentropic and endoreversible cycles. F IGURE 1.A standard irreversible Brayton cycle. And η1 η2 are the isentropic efficiencies of the turbine and compressor [6]; T3 , T1 are the maximum and minimum temperatures achieved in the reversible cycle; the parameter µ = TTHL , corresponds to the ratio between the temperatures of hot- and cold-side; and εH , εL are the effectiveness given by [6]: εH = 2. T3 − T2 ; TH − T2 εL = T4 − T1 T4 − TL (4) The relation for the dimensionless work A standard irreversible Brayton cycle is shown in Fig. 1. For this cycle the following temperature relations are satisfied [19]: T1 ; T4s = T3 x (1) x µ ¶ 1−x T2 = T1 1 + ; T4 = T3 (1 − η1 (1 − x)) (2) η2 x ´ £ ¤³ εL µx−1 + εH (1 − εL ) 1−x η2 + x TH ; T2 = [εL + εH (1 − εL )] (3) ³ ´ η1 [εH x + εL µ (1 − εH )] x1 − (1−x) x T4 = TH [εL + εH (1 − εL )] The two single-pass counterflow heat exchangers are coupled to the reservoirs TH and TL ; so the external irreversibilities are defined by the respective effectiveness. Thereby, the dimensionless work, w of the standard irreversible Brayton cycle in relation to the maximum energy by mass unit attained in the cycle will be optimized (see Fig. 1): T2s = w= 1− 1 (5) where CW is the thermal capacity rate (mass and specific heat product) of the working substance [6]. The dimensionless expressions, q = CWQTH , for the hotside and cold-side heat transfer and the work w of this cycle are: ¶ µ ¶ µ T4 T2 ; qL = εL −µ 1− TH TH · ¸ · ¸ T2 T4 w = εH 1 − − εL −µ TH TH qH = εH where x = ε γ , and ε = pp21 the pressure ratio (maximum c pressure divided by minimum pressure) and γ = cvp , with cp the constant-pressure specific heat and cv the constantvolume specific heat. Henceforth, x denotes the isentropic temperatures ratio of the working substance. W CW TH (6) (7) Substituting these equations in the equation (3), the following the relation for the work is obtained: Rev. Mex. Fis. S 59 (1) (2013) 224–229 226 G. ARAGÓN-CAMARASA, G. ARAGÓN-GONZÁLEZ, A. CANALES-PALMA AND A. LEÓN-GALICIA " # ¡ ¢ εL µx−1 + εH (1 − εL ) (1 − x (1 − η2 )) w = εH 1 − η2 (εL + εH (1 − εL )) ³ ³ ´ ´ η1(εH x+εL µ (1−εH )) x1 η11 −1 +1 − εL −µ (8) εL + εH (1 − εL ) Thus, on the analysis of the optimal operating states will be focused. There are three limit cases, although only two are relevant [15] (B and C below). For any heat exchanger N = UCA , where U is the overall heat-transfer coefficient, A the heat-transfer surface and C the thermal capacity. The number of transfer units in the hot-side and cold-side, NH and NL , are indicative of both heat exchangers size. And their respective effectiveness is given by [20]: εH = 1 − e−yN ; εL = 1 − e−(1−y) N (15) A) Totally reversible [εH = εL = η1 = η2 = 1] As CW TH = mcP T3 m (is the mass and cp the constant-pressure specific heat) TH = T3 and TL = T1 (see cycle 1 − 2s − 3 − 4s in Fig. 1), then, the dimensionless work w = mcW , is maximum if (equation P T3 (8)): xT R = √ µ∗ ; ηCN CA = 1 − √ µ∗ (9) The behaviour of the effectiveness for a value realistic of the total number of transfer units of both heat exchangers [1] (N = 3) is shown in the Fig. 2. Optimizing the equation (11) with respect to the isentropic temperatures ratio x and the allocation (size) of both heat exchangers inventory y we obtain the following: where µ∗ = TT31 and ηCN CA corresponds to the CNCA efficiency [1]. yE = B) Non-isentropic εH = εL = 1, 0 < η1 , η2 < 1 Newly, CW TH = mcP T3 , TH = T3 andTL = T1 (see cycle 1 − 2 − 3 − 4 in Fig. 1). Thus, the dimensionless work w is maximal if (equation (8)) xN I = p Iµ∗ (10) 1 ; 2 xCN CA = √ µ (16) Finally, these equations denote that the hot- and coldside heat exchangers have the same size -allocation balanced- if yE = 12 and it, also, corresponds to the CNCA efficiency [2]: √ Iη2 (1 − µ∗ ) + Iµ∗ − 1 η N I = 1 − √ ³√ √ ¡√ ∗ ¢´ (11) I Iη2 (1−µ∗ )+ µ∗ Iµ −1 ηCN CA = 1 − √ µ (17) 1 η1 η2 where I = and ηN I corresponds to the efficiency to maximum work. In this case necessarily: εH = εL = 1. C) Endoreversible η1 = η2 = 1, 0 < εH , εL < 1 This case corresponds to the endoreversible Brayton cycle (see Fig. 1), where TH > T3 and TL < T1 . The dimensionless worwk is: w= εH εL (1 − x) x − (1 − x) µ x [εL + εH (1 − εL )] (12) If the total number of transfer units of both heat exchangers is N , then, the following parameterization of the total inventory of heat transfer [1] can be included in the equation (11): NH + NL = N NH = yN (13) and NL = (1 − y) N (14) F IGURE 2. The behaviour of the effectiveness εH versus εL , if N = 3. Rev. Mex. Fis. S 59 (1) (2013) 224–229 227 QUALITATIVE AND QUANTITATIVE OPTIMIZATION OF A STANDARD IRREVERSIBLE BRAYTON CYCLE 3. where xN I is given by the equation (10), if µ∗ is replaced with µ. The inequality (20) is satisfied because of: Optimal analytical expression Now, the optimization of the standard irreversible Brayton shown in Fig. 1 is analyzed. The non-critical parameters are [11]: η1 , η2 , µ = TTHL and N ; and the critical parameters: x = 1 − η and y are, except N all positive and strictly less than one (including in the equation (8) the same parameterization (equations (12) and (13)) of the limit case C of the section 2). Then, w depends only of the characteristics parameters x and y, and reaches a global maximum as is shown in the Fig. 3, if η1 = η2 = 95%; µ = 0.25; N = 3. Applying the extreme conditions: ∂w =0 ∂x and ∂w =0 ∂y (18) the following coupled optimal analytical expressions forx and y, are obtained 1<I≤ xN E = xCN CA = µ (24) 1 (25) 2 which corresponds to the endoreversible cycle (limit case C of the section 2). Therefore, the equations (18) and (19) are one generalization of the equations (15). The optimal allocation (size) of the heat exchangers has the following asymptotic behaviour: N →∞ (19) 1 2 and lim yN E = η1 ,η2 →1 1 2 (26) Furthermore, the result obtained by Swanson [7] is incorrect. Also, xN E has the following asymptotic behaviour: (20) Qualitative and asymptotic behavior The equations (18) and (19) for xN E and yN E cannot be uncoupled (see below). A qualitative analysis and its asymptotic behaviour of the coupled analytical expressions for xN E and yN E (equations (18) and (19)) have been performed [19] in order to establish the bounds for xN E and yN E and to see their behaviour in the limit cases. In [19] the following bounds for xN E and yN E were found 0 < xN I ≤ x N E < 1 (21) 1 2 (22) 0 < yN E < √ yN E = yE = lim yN E = where z1 = eN ; z = eyN ; A = η1 η2 eN + 1 − η2 ; B = eN (η1 η2 + 1 − η2 ) and C = eN − η2 + η1 η2 . 3.1. (23) If I = 1 (η1 = η2 = 100%), the following values are obtained s (z1 − z) (Cz − B) xN E = µ (z − 1) (Az1 − Bz) µ ¶ 1 1 Ax − Bµ yN E = + ln 2 2N Bx − Cµ (z1 − z) (Cz − B) (z − 1) (Az1 − Bz) lim xN E = xN I N →∞ lim ηN E = xN I and N →∞ (27) Thus, the non-isentropic and endoreversible cycles are particular cases of the cycle herein presented. Also we conclude that the allocation is always unbalanced (yN E < 12 ). 3.2. Optimal approximated analytical expressions and numerical results Combining the equations (18) and (19) we obtain the following equation as function only of z √ µ µ Bz1 − Cz 2 Az1 − z 2 B s ¶ (z1 − z) (Cz − B) (z − 1) (Az1 − Bz) = (28) which gives a polynomial of degree 6 which cannot be solved in closed form. The variable z relates (in exponential form) to the allocation (unbalanced, εH < εL ) and the total number of transfer units N of both heat exchangers. To obtain a closed form for the effectiveness εH , εL , the equation (27) can be approximated by √ µ µ Bz1 − Cz 2 Az1 − z 2 B ¶ µ = 1 1 + H 2 2 ¶ (29) using the linear approximation √ F IGURE 3. If η1 = η2 = 95%; µ = 0.25; N = 3, then, the dimensionless work reaches a global maximum. ³ ´ 1 2 (H − 1) + O (H − 1) 2 (z1 − z) (Cz − B) H= (z − 1) (Az1 − Bz) H =1 + Rev. Mex. Fis. S 59 (1) (2013) 224–229 (30) (31) 228 G. ARAGÓN-CAMARASA, G. ARAGÓN-GONZÁLEZ, A. CANALES-PALMA AND A. LEÓN-GALICIA It is remarkable that the non-isentropic and endoreversible limit cases (limit cases B and C of the section 2, respectively) are not affected by the approximation and remain invariant within the framework of the cycle herein presented. Thus, this approximation maintains and combines the optimal operation conditions of these limit cases and, moreover, they are included. Also a noteworthy correlation between optimal effectivenes εH and εL is obtained (see equation (32) in the Conclusions section) The equation (28) is a polynomial of degree 4 and it can be solved in closed form for z with respect to the non-critical parameters: µ or N , for realistic values for the isentropic efficiencies [4] of turbine and compressor: η1 = η2 = 0.8 or 0.9, but it is too large to be included here. Fig. 4 shows the values of z(zmp ) with respect to µ F IGURE 5. Behavior of ηN E , ηN I and ηCN CA versus µ, if η1 = η2 = 0.9 and N = 3. Using these numerical values and with a total number of heat transfer units N = 3 [1] (so exists a finite difference of temperatures). Then, Fig. 5 shows that the efficiency to maximum work ηN E , with respect to µ, can be well approached by the efficiency of the non-isentropic cycle ηN I (equation(10)) for a value of N = 3 and isentropic efficiencies of 90% The behavior of yN E with respect to the total number of transfer units N of both heat exchangers, with the same numerical values for the isentropic efficiencies of turbine and compressor η1 = η2 = 0.8 or 0.9 and a Carnot efficiency of 70%, is presented in Fig. 6. The allocation for the heat exchangers yN E is approximately 2 − 8% or 1 − 3%, respectively, less than the asymptotic value of 12 , if the number of heat transfer units N is between 2 and 5. This result describes that the size of the heat exchanger in the hot side decreases. F IGURE 6. Behaviour of y versus N , when η1 = η2 = 0.8 or 0.9 and µ = 0.3. 4. Conclusions Relevant information about the performance of Brayton-like cycles has been described in this work. The study performed combines and extends the optimal operation conditions of endoreversible and non-isentropic cycles since the standard irreversible Brayton cycle provides more realistic values for the optimal isentropic temperatures ratio, efficiency to maximum work and optimal allocation (size) for the heat exchangers than the values corresponding to the non-isentropic or the endoreversible operations Now, if η1 = η2 = 0.8 (I = 1.5625); yN E = 0.45 then N∼ = 3.5 (see Fig. 6) and for the equations (14): εH = 0.74076 and εL = 0.80795 F IGURE 4. Behaviour of z N = 3. zmp () versus µ, if η1 = η2 = 0.8 and (32) Therefore, our work [6] must be reviewed since we have assumed that the effectiveness are the same εH = εL < 1; whilst I > 1. Current literature on the Brayton-like cycles, where have taken the same effectiveness less than one and contains internal irreversibilities, would have to be reviewed too. To conclude εH = εL , if and only if the allocation is balanced (yE = 12 ) and the unique thermodynamic possibility is: optimal allocation balanced (equations (16); that is Rev. Mex. Fis. S 59 (1) (2013) 224–229 QUALITATIVE AND QUANTITATIVE OPTIMIZATION OF A STANDARD IRREVERSIBLE BRAYTON CYCLE εH = εL . And εH < εL if and only if I > 1 (there is internal irreversibilities). Furthermore, combining the equations (16) and as z = eyN , the following remarkable correlation is obtained εH = 1 zN E zN E e−N 1− 1− εL (33) where zN E is calculated by the equation (28) and shown in ∗. [email protected] 1. A. Bejan, Entropy Generation Minimization. 1 Press, Boca Raton, FL (1996). st edition, CRC 2. A. Durmayaz, O. S. Sogut, B. Sahin and H. Yavuz, Progr. Energ. and Combus. Sci. 30 (2004) 175. 229 Fig. 4, which can be used in the current literature on the Brayton-like cycles. Moreover, the optimal approximated analytical expressions for the efficiency to maximum work obtained can be more useful than those found in the current literature which are different to the expressions obtained by numerical optimizations. Finally, the optimization performed in this work was total. In the current literature ([9], [16]-[19] and so on) commonly the optimizations carried on are only partials. This can conducted to wrong optimal expressions. Further work is underway. 11. C. A. Herrera, J. A. Sandoval and M. E., J. Phys. D: Appl. Phys., 39 (2006) 3414. 12. J. A. Sandoval, Optimización de entropı́a generada y eficiencia exergética en un ciclo Brayton no endoreversible. MS Thesis (2005) Universidad del Valle Colombia (in spanish). 3. H. S. Leff, Am. J. Phys. 55 (1987) 602. 13. J. D. Lewins, Proc. IMechE, Part C :J. Mechanical Engineering Science, 214 (2000) 1545. 4. C. Wu, and R. L. Kiang, ASME J. of Eng. for Gas Turbines Power 113 (1991) 501. 14. J. D. Lewins, Proc. IMechE, Part C :J. Mechanical Engineering Science, 219 (2005) 539. 5. G. Aragón-González, A. Canales-Palma and A. León-Galicia, J. Phys. D: Appl. Phys. 33 (2000) 1403. 15. Y. Ust, B. Sahin and A. Kodal, J. Energy Inst., 79 (2006) 47. 6. G. Aragón-González, A. Canales-Palma, A. León-Galicia and M. Musharrafie-Martı́nez, J. Phys. D: Appl. Phys., 36 (2003) 280. 7. L. W. Swanson, ASME J. of Eng. for Gas Turbines Power, 113 (1991) 505. 16. S.K. Tyagi, J. Chen and S.C. Kaushik, Int. J. Ambient Energy, 26 (2005) 155. 17. N. Sánchez-Salas and Calvo A. Hernández, Optimal workimg regimes of regenerative brayton thermal cycles. In Procc.of ECOS 2003, Copenhagen Denmark: 1043. 8. D. A. Blank, J. Phys. D: Appl. Phys., 32 (1999) 769. 18. L. Chen, J. Wang and F. Sun, Math. and Comp. Modelling, 40 (2008), 527. 9. L. Chen, J. Zheng, Sun F. and Ch. Wu, J. Phys. D: Appl Phys., 34 (2001), 422. 19. G. Aragón-González, A. Canales-Palma, A. León-Galicia and M. Musharrafie-Martı́nez Rev. Mex. Fis. 51 (2005) 32-37. 10. K. H.Hoffman, J. M. Burzler and S. Shuberth, J. Non-Equilib. Thermodyn. 22 (1997) 311. 20. W. M Kays, and A. L. London, Compact heat exchangers. 3st edition, McGraw-Hill (1984). Rev. Mex. Fis. S 59 (1) (2013) 224–229
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