Abstract
The multi-objective optimization of a direct current rotary dryer that operates with pozzolan in a Paraguayan company is detailed in this article. Three objective functions in steady state are minimized using a NSGA-II algorithm, these are: (1) moisture at the exit of the rotary dryer, (2) heat released to the environment through the dryer and (3) operating costs of the production process in the Paraguayan company. Furthermore, the optimum operating conditions of the drying process are obtained and compared with the real process. Experimental results prove the ability of the proposed algorithm to decrease the moisture content of pozzolana by 28%, the heat released to the environment by 38 % and the operating costs by 52%.
Highlights
IntroductionOn the other hand, when the various objectives need to be considered simultaneously, and these objectives are conflicting with each other due to the existence of compromise relationships, there is not always a single solution to the problem, but rather a set of compromised solutions [1]
In a traditional single-objective environment, i.e. when it is possible to combine the objectives to be optimized in a single objective function subject to several constraints, the optimization problem can be reduced to the search of a maximum or minimum that would be the solution of the problem when satisfying all the considered constraints
It was possible to determine the optimal operating parameters of a direct current rotary dryer that processes pozzolana in steady state using a specialized variant of the NSGA-II evolutionary algorithm, especially design to solve the formulated multi-objective problem
Summary
On the other hand, when the various objectives need to be considered simultaneously, and these objectives are conflicting with each other due to the existence of compromise relationships, there is not always a single solution to the problem, but rather a set of compromised solutions [1]. This formulation considering several simultaneous objective functions is known as a Multi-objective Optimization Problem (MOP) [2]. Several works have already studied the problem of correctly operating a rotary dryer. Douglas et al [3] carried out a transient simulation of a rotary dryer that processes sugar crystals and obtained dynamic responses of the humidity and temperature profiles for the process, having as input a step function for both cases.
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