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Maximization of thermal enhancement factor is taken as the criteria of optimization.
Many-objective optimization problem is formed by considering maximization of thermal efficiency, power output, ecological function and exergy efficiency.
The composite adsorbent was synthesized based on four key factors in terms of the maximization of thermal conductivity.
A many-objective optimization problem is formed by considering maximization of thermal efficiency, propulsive efficiency, specific thrust and minimization of thrust-specific fuel consumption of turbojet engine and solved using multi-objective heat transfer search (MOHTS) algorithm.
In this paper, thermal resistance per unit mass is introduced as the optimization objective, and a multidisciplinary and multiobjective constructal optimization is carried out based on the maximization of thermal resistance per unit mass with the global constraints, i.e. fixed external dimensions and prescribed mechanical strength.
When heat flow, strength and weight are all taken into account, the 3-way optimization and selection (the maximization of thermal resistance per unit mass) of wall architecture requires higher degree of accuracy compared with the 2-way optimization and selection (the maximization of overall thermal resistance).
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Results pertaining to the maximization of suitably defined thermal performance, subject to constant pumping power per unit length, are presented and discussed.
Therefore, the profit maximization problem for the producer of thermal power is as follows: begin{aligned} & {text{Max}}quad pi_{text{T}} = left[ {P_{text{e}} - P_{text{c}} alpha } right]q_{text{T}} - C_{text{T}} (q_{text{T}} ) & {text{S}}.
Thermal performance concept includes maximization of heat transfer coefficient and minimization of friction factor.
In order to explore the potential of such a novel typology of power plant, an optimization procedure, based on a genetic algorithm combined with a computing code, is utilized to analyze the trade-off between the maximization of the electrical efficiency and the maximization of the thermal efficiency.
Two approaches aim at increasing the thermoelectric efficiency: the maximization of the power factor and the minimization of the thermal conductivity.
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