Minimum entropy generation design method for the heat transfer process in the supercritical region

1991 ◽  
Vol 32 (4) ◽  
pp. 375-385 ◽  
Author(s):  
Nilüfer Eḡri̇can ◽  
Seyhan Uygur
Author(s):  
Qun Chen ◽  
Hongye Zhu ◽  
Ning Pan ◽  
Zeng-Yuan Guo

Entropy generation is recognized as a common measurement of the irreversibility in diverse processes, and entropy generation minimization has thus been used as the criterion for optimizing various heat transfer cases. To examine the validity of such entropy-based irreversibility measurement and its use as the optimization criterion in heat transfer, both the conserved and non-conservative quantities during a heat transfer process are analysed. A couple of irreversibility measurements, including the newly defined concept entransy , in heat transfer process are discussed according to different objectives. It is demonstrated that although thermal energy is conserved, the accompanied system entransy and entropy in heat transfer process are non-conserved quantities. When the objective of a heat transfer is for heating or cooling, the irreversibility should be measured by the entransy dissipation, whereas for heat-work conversion, the irreversibility should be described by the entropy generation. Next, in Fourier’s Law derivation using the principle of minimum entropy production, the thermal conductivity turns out to be inversely proportional to the square of temperature. Whereas, by using the minimum entransy dissipation principle, Fourier’s Law with a constant thermal conductivity as expected is derived, suggesting that the entransy dissipation is a preferable irreversibility measurement for heat transfer.


Author(s):  
Qi Li ◽  
Xigang Yuan ◽  
Pierre Neveu ◽  
Gilles Flamant

Convective heat transfer enhancement can significantly improve the thermal efficiency in the conversion, utilization, recovery and storage of energy (in particular solar thermal). Modifying velocity field is the most direct approach to enhance convective heat transfer. However, in most cases the optimal velocity field is unknown and difficult to find even for an experienced researcher. In this paper, a predictive optimization methodology in convective heat transfer enhancement based on minimum entropy generation (MEG) principle was developed. A set of Euler’s equations were derived by the variation calculus to the Lagrange function established by governing equations, specific constraints and objective functional—total entropy generation rate. The solution of these equations resulted in the optimal velocity fields, leading to the minimum entropy generation. To validate and demonstrate the future application of this methodology to solar absorbers used to convert concentrated solar energy, the steady laminar convection heat transfer process in a two-dimensional channel with fixed heat flux boundaries was optimized for given total viscous dissipations. The numerical simulation results showed that lower value of maximum wall temperature was obtained by MEG optimization, which means cheaper and safer materials. The present work indicated that the new methodology could be a good guide in convective heat transfer enhancement design work, especially in CSP receivers.


Author(s):  
Zhaowen Wang ◽  
Peng Deng ◽  
Wei Li ◽  
Ronghua Huang

To solve problems such as thermal overload in the cylinder head of a 6-cylinder heavy-duty diesel engine and the thermal cracks in the valve-bridge of the engine. Structure of the coolant jacket was optimized from monolayer to bi-layer, and structures of upper nozzles were also optimized using the orthogonal experimental design method in this paper. At present, the cooling capacity of the coolant jacket in cylinder head is mainly judged by the coolant velocity. In this paper, the coolant heat transfer coefficient (HTC) was adopted as the criterion to evaluate the heat transfer process in cylinder head. Both of the velocity and HTC were used as the evaluation indexes to obtain the optimum schemes respectively. To determine which evaluation index fits the actual heat transfer process better, and which optimized schemes should be adopted, the temperatures in the bottom of the cylinder head were measured. The experimental results show that it is better to evaluate the cooling capacity of coolant jackets by HTC. HTC reflects the actual heat transfer process much better than velocity.


2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Adrian Bejan

Here, I show that “entransy” has no meaning in physics, because, at bottom, it rests on the false claim that in order to transfer heat to a solid body of thermodynamic temperature T, the heat transfer must be proportional to T. Entransy “dissipation” is a number proportional to well known measures of irreversibility such as entropy generation and lost exergy (destroyed available work). Furthermore, the “principle of entransy dissipation minimization” adds nothing to existing work based on minimum entropy generation, minimum thermal resistance, and constructal law. The broader trend illustrated by the entransy hoax is that it is becoming easy to take an existing idea, change the keywords, and publish it as new.


Author(s):  
R. K. Jha ◽  
S Chakraborty

This paper deals with estimation of the optimal dimensions of arrays of plate fins cooled by forced convection. The optimization is achieved by minimizing the entropy generation rate using genetic algorithm-based evolutionary computing techniques. Results are presented for staggered plate fins configuration and continuous plate fins configuration. The effects of heat transfer and fluid friction on entropy generation rate are also reported.


1996 ◽  
Vol 118 (2) ◽  
pp. 98-101 ◽  
Author(s):  
Adrian Bejan

It is shown that to maximize the power output of a power plant is equivalent to minimizing the total entropy generation rate associated with the power plant. This equivalence is illustrated by using two of the oldest and simplest models of power plants with heat transfer irreversibilities. To calculate the total entropy generation rate correctly, one must recognize that the optimization process (e.g., the variability of the heat input) requires “room to move,” i.e., an additional, usually overlooked, contribution to the total entropy generation rate.


2001 ◽  
Vol 1 (1) ◽  
pp. 46-52 ◽  
Author(s):  
E Torres-Reyes ◽  
J.G Cervantes-de Gortari ◽  
B.A Ibarra-Salazar ◽  
M Picon-Nuñez

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