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The main design variables are the number of thermoelectric modules and the size of radiant panels.
In this study, SHT temperature and time were analysed as main design variables.
Moreover, the main design variables (loads, material properties, some geometric items, mesh element size) are defined as parameters.
Thermoeconomic, exergy, and exergoeconomic analyses are also presented, aiming at defining the best values of the main design variables.
The main design variables are the position and dimension of the panels, and the fluid inlet temperature.
Using the model, a design analysis was performed to determine the effect of the main design variables in the temperature of the solid liquid phase and the oxygen concentration in the gas phase.
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It is interesting to find that the gradient exponent is taken as the main design variable when the PCF is restricted below a certain value while the parameter of steel strength in impact end will be taken as the main design variable on the contrary.
Analysis of covariance (ANCOVA) will be used to identify main effects, effect sizes, and interactions between the two independent design variables (feedback and branching).
Compared to the usual design practice, the important advantages of the proposed approach are (i) to consider the part-load performance of the ORC at the design stage, (ii) to optimize not only the cycle variables, but also the main turbine design variables (number of stages, stage loads, rotational speed).
The effects of main operating and design variables on the permeate flux are reported.
At the end of this process, a well-defined optimization problem is obtained that has three main ingredients: optimization (design) variables that describe design of the system, an objective (cost) function that measures worth of the system, and a set of performance constraints that the system must meet.
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main concepts variables
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main test variables
main design goals
main design approaches
main design decisions
main design themes
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