Gas optimization

Achieve better integration with Virginia Power (VEPCO), including giving away flare gas Optimize plant-wide energy use Use oxygen enriched air in furnaces Other... 

To ameliorate all the aforementioned shortcomings, we developed a new maintenance model based on the use of Monte Carlo simulation. The model incorporates three practical issues that have not been considered in previous work i) different failure modes of equipment, ii) ranking of equipments according to the consequences of failure, iii) labor resource constraints and material resource constraints. The maintenance model, which was developed by Nguyen et al. (2008) is integrated here with a GA optimization to optimize the PM frequency. 

A new maintenance model based on the use of Monte Carlo simulation and integrated with GA optimization is presented in this article. The model incorporates three practical issues not considered in previous work and is capable of analyzing and optimizing complex maintenance operations. 

Figure 2. Evolution of the profit for each generation in a solely micro-GA optimization run 5.2. Hybrid optimization...

Chafekar, D., Shi, L., Rasheed, K. and Xuan, J. (2005). Multiobjective GA optimization using reduced models, IEEE Transactions on Systems, Man and Cybernetics, Part C 35, 2, pp. 261-265. 

Fig. 51. Structure of the Si( 111) a/3 x V3 -Ga optimized surface geometry from dynamical analysis of LEED I-V spectra [88K4].

Reconstructing signals for sensor validation by a GA-optimized ensemble of RCA models, HWR-894, OECD Halden Reactor Project. 

The GA optimization algorithm requires several input parameters. The parameters used for the GA in the analysis are given in Table 4. 

There are three areas of uncertainty that must be addressed in further development. The first is the continuous separation of solvent and acid. Lack of data on solubility, activity coefficients, and heats of mixing suggests that the separation would be easiest to study experimentally in a plate column. The second question is the solubility of the solvent in the acid product and whether or not ppm-levels of solvent affect the use or value of the acid. The Aird question is the loss or consumption of solvent in the process, particularly solvent loss in the gas phase leaving the trickle bed. There is a complex relationship between the liquid loading, requirements of acid-solvent separation and loss of solvent to the gas. Optimization is called for but this cannot be undertaken until more experimental data are available. 

Montini-Ballarin F, Caracciolo PC, Blotta E, Ballarin VL, Abraham GA. Optimization of poly(L-lactic acid)/segmented polyurethane electro spinning process for the production of bilayered small-diameter nanofibrous tubular structures. Mater Sci Eng C 2014 42 489-99. 

In this section, in order to simultaneously mmmiize both the building top story displacement and that of the base isolation system, a multi-objective GA optimizer is used. For this purpose, first us-... 

Here also the same parameters of the linear isolators have been chosen for GA optimizer ... 

Numerical simulations are carried out for micro-GA optimized FLC, clipped optimal control, dynamic inversion based MR damper monitoring and with integrator backstepping control of MR damper voltage input. 

Ali, S. F., Ramaswamy, A. (2008). GA optimized FFC driven semi-active control for phase II smart nonlinear base isolated benchmark building. Structural Control and Health Monitoring, 15, 797-820. doi 10.1002/stc.272... 

Table I. Loss for the alternative control variables for the gas optimization case.

Within GA optimization, the degree to which the shaped laser pulse represents the quantum logic gate operation of interest is stated by a metric. Initial theoretical studies which had not yet perceived the necessity of global phase alignment used the average population P, as this metric, i.e.. 

The fidelity is a number between 0 and 1. F = 0 implies no excitation to the resultant qubit state (i.e., an incomplete quantum gate operation), while F = 1 implies a 100 % complete quantum gate operation on the qubits. Though the average population is a useful value to determine the extent of overall population transfer between the qubits, it is strictly the fidelity function values that should be used within the GA optimization procedure when dealing with quantum gate operations. 

Alfliough the metallization rate of prereduced pellets at 900"C (94.9%) is higher than that at 800 "C (80.1%), the pellets and lump ore stick together in actual production at high temperatures(>850°C) [10-13]. So the reduction temperature is set at 800"C in flie following gas optimization tests in order to get better quality prereduced pellets. 

Small noble gas clusters have been studied as a benchmark for GA optimization in those earlier studies. Zeiri has studied the lowest energy structures of very small Lennard-Jones clusters (n = 4-10) using GA and found that GA based method converges to the global minima much more rapidly than some other techniques. ... 

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