Sentence examples for modeling simulation optimization from inspiring English sources

This paper addresses developments in modeling simulation, optimization and control systems related to bio-alcohol production.

The papers in the ESCAPE-19 proceedings are organized on the following themes: product and process design, process control and operation, modeling, simulation, optimization and process integration, new frontiers in CAPE, CAPE in sustainable development, and, energy systems and CAPE.

Computer-aided process engineering (CAPE) practice has shown that thermodynamics software tools play a critical role in the process engineering lifecycle, including process modeling, simulation, optimization, and process design.

Thus, this paper aims to update and broaden the review coverage by incorporating works done to materialize the investigations on the potential of producing hydrogen from biomass via gasification encompassing mathematical modeling, simulation, optimization, process heat integration and cogeneration.

This is where much of the I.B.M. research effort comes into play and involves sophisticated text analytics, modeling, simulation, mathematical optimization and the like.

In this work, the key role that process design plays during the development of cost-effective technologies is recognized through the analysis of major trends in process synthesis, modeling, simulation and optimization related to ethanol production.

After dealing with the importance of Process Innovation and Problem solving investigation, as integrated parts in the business Process management including Process Systems Engineering tools such as Modelling, Simulation, optimization, the proposed approach mainly based on Process solving theory is presented.

At the same time, it also highlight the areas where opportunities exist for process systems engineering activities such as, modeling and simulation, optimization, control, diagnostics, and fault-tolerant control.

In many cases, these problems are most suitable to be modeled as simulation optimization problems, and a key question for solving these problems is how to efficiently and accurately select the top designs given a limited simulation budget.

The methodology proposed here allows the inclusion of new contributions in the PNP model framework for ion dynamics, as well as to solve transient ac voltage problems, taking advantage of the EMSO (Environment of Modeling, Simulation and Optimization) software simulator features.

The study demonstrates that the modeling, simulation and optimization can be used for the optimal design of the plants before invested, for operating the present plants at optimal conditions and for analyzing the systems.