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Azcaxalli claim is to work in order to maximize the cycle length taking into account several safety parameters.
A multi-objective function was built to maximize the cycle energy length while satisfying power and reactivity constraints used as BWR design parameters.
The system uses the 3-D simulator code CM-PRESTO and it has as objective function to maximize the cycle length while satisfying the operational thermal limits and cold shutdown constraints.
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In one scenario, the objective is minimizing the cost of recuperator; while in another scenario maximizing the cycle exergetic efficiency is considered.
A robustness index against wind turbulence is proposed and analyzed, and an offline algorithm for generating a flight trajectory reference, which maximizes the cycle power while considering a desired robustness index, is presented.
Due to the connectivity of high density sensor nodes and the coverage area of target nodes, the randomly given coverage area is reconstructed through limiting the maximum amount of distortion of randomly covered area in a certain range in order to maximize the life cycle of the network and solve the optimization problem better.
In previous study (Chen and Reynolds, 2016), we proposed an algorithm to optimize the well controls which maximize the life-cycle net-present-value (NPV).
A new well-placement optimization algorithm for the estimation of the trajectory of directional wells is introduced to maximize the life-cycle net-present-value (NPV) of production from a reservoir.
Therefore, in order to obtain patterns with significant lengths, we have to maximize the number of cycles potentially containing an ETR of maximal length of Λ max.
The reason behind using short channel estimator is to maximize the number of cycles, N c, with the cost of minimizing the estimator length, N p. Because we are estimating the equivalent channel, we can ignore channel tap values close to zero, which are caused by the heavy tailing of the RRC filters.
Different materials such as sepiolite (magnesiumsilicate), amorphous silico-alumino-phosphate (ASAPO) or other mixed oxides such as SiO2 ZrO2, or SiO2 Al2O3 MgO, are studied as potential active matrix components of a FCC catalyst, with the final objective of maximizing the light cycle oil (LCO) yield while minimizing the aromatic content of this fraction.
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Justyna Jupowicz-Kozak
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