Optimisation model

Karlsson, K. and Meibom, P. (2008). Optimal investment paths for future renewable based energy systems - using the optimisation model Balmorel. International Journal of Hydrogen Energy, 33 (7), 1777-1787. 

Optimise models to fit X-RAY INTENSITIES while maintaining CONSTRAINTS and STERIC RESTRAINTS. Attempt decision among symmetry and packing choices. 

This accounts for the moves to combine a theoretical CVM treatment with a CALPHAD optimisation technique which include an excess term (see Section 7.6.4). However, CVM then becomes just another optimisable model and it is not yet clear whether there is any gain in predictability in the higher-order systems when adopting this procedure for multi-component alloys, even if vibrational entropy can be properly included. 

A relatively small optimised model has been used as the basis for this work. Perturbations to the spectra in this model, representing likely instrument-to-instrument variations, have been made to evaluate the effects of these on the prediction performance. 

Initially an optimised model was constructed using the data collected as outlined above by constructing a principal component (PC)-fed linear discriminant analysis (LDA) model (described elsewhere) [7, 89], The linear discriminant function was calculated for maximal group separation and each individual spectral measurement was projected onto the model (using leave-one-out cross-validation) to obtain a score. The scores for each individual spectrum projected onto the model and colour coded for consensus pathology are shown in Fig. 13.3. The simulation experiments used this optimised model as a baseline to compare performance of models with spectral perturbations applied to them. The optimised model training performance achieved 93% accuracy overall for the three groups. 

Optimise model (set of atom coordinates and thermal parameters) to get best fit. 

National Renewable Energy Laboratory, USA (2004). HOMER, The optimisation model for distributed power. URL http //www.nrel.gov/homer Penche C, (1998). Layman s handbook on how to develop a small hydro site. 

Fig. 7 Solutions found when optimising model fitting (r2) simultaneously with model complexity, measured by the number of terms in the model, p...

Selection of the mobile phase composition can be based on the enormous amount of information given in Stahl s book [17] and in a wide range of other publications, and also by using optimisation models (see e.g., Nyiredy et al. 42j). 

In the processing industries, one of the major applications of radioisotope tracers is for residence time investigations in which important parameters for plant optimisation, modelling, and automation are obtained. 

R. K. Pati, P. Vart, and P. Kumar, Cost Optimisation Model in Recycled Waste Reverse Logistics System, International Journal of Business Performance Management, 3-4(6), 245-261 (2004). 

More recently, the model has been refined (eg Figures 2 and 3) in order to obtain a perfect match between the theoretical projection map of the model ind the experimental projection map of bovine opsin, the first crystallographic data related to a GPCR [8]. The optimised model differs from the original one by the relative tilt of transmembrane a-helices. However the two models are qualitatively. similar. 

Table 2. A summary of performance scores of each candidate model for the forward mapping problem. The Y-block variances are calculated on the overall optimised models.

Dekker, R. Scarf, P. A. 1998. Onthe impactof optimisation models in maintenance decision making the state of the art. Reliability Engineering System Safety 60(2) 111-119. 

Figure 2.26. Glass transition temperature as a function of cure conversion for an epoxy-anhydride system. Experimental points were measured in a heating subsequent to a partial cure. T — x and T — x curves [see Eq. (27)] are simulations by means of the optimised model for diffusion-controlled cure.

Formulation of the multi-objective optimisation model to incorporate environmental impact criteria as process design objectives together with... 

Step 3 Formulation of the multi-objective optimisation model... 

The material and energy balance equations associated with every unit in the superstructure are included as the equation constraints of the optimisation problem. Other than the balance equations associated with all units, models of gas emissions and environmental impacts are also integrated into the optimisation model. Binary variables are used to signify the existence or non-existence of units in the superstructure. The resulting multi-objective optimisation problem is formulated as an MINLP model. The decisions to be made by the multi-objective optimisation model include the configuration of the utility system, the values of the operating pressures and temperatures of different steam headers, the types of fuels used by the units, and all stream flowrates. 

The problem is formulated as a multie-objective optimisation model and is solved using Goal Programming technique. The optimal solution includes one oil boiler (B3), one... 

Based on the principles of a simultaneous optimisation model developed by Yee and Grossmann (1990) for heat exchanger network synthesis, a robust optimisation model for mass exchange network synthesis has been developed. Superstucture, essential modelling equations, and example problems with their solutions are presented. The new model is fairly linear and is applicable to systems of both packed and staged vessels, and multicomponent problems as well. 

The aim of this work has been to develop a robust MINLP model for MENS. Regarding the assumptions and modelling principles of the simultaneous optimisation model of Yee and Grossmann (1990), that was originally developed for designing HENs, it was expected that a similar modelling technique would be applicable to MENS as well, resulting in a fairly linear MINLP model. 

The overall optimisation model-based predictive controller for the supply chain network takes the following form ... 

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