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Finally the suitability of the current experimental analysis methodology for simulation validation is addressed.
In this work it is also developed a new methodology for simulation model fitting in the context of occupied buildings.
We have developed a methodology for simulation of thermal reactive flow with fidelity to reaction kinetics without construction of a model for reaction.
To facilitate this co-analysis, we propose a non-intrusive instrumentation methodology for simulation models, which automatically adapts to the model under observation.
To this end, a methodology for simulation of fuel cell operation under uncertainty is presented by considering a one-dimensional nonisothermal description of the governing physical phenomena.
To help companies define and implement the right efficiency measures for cold production, this work aims to develop a methodology for simulation and optimization of energy consumption in cold chambers by improving both constructive and operating parameters (external temperature, enclosure insulation, door opening time, etc)., which contribute to the infiltration of heat energy.
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This paper describes an Adaptive Mesh and Algorithm Refinement (AMAR) methodology for multi-scale simulations of gas flows and the challenges associated with extending this methodology for simulations of weakly ionized plasmas.
The paper presents the methodology for model setup and the simulation results for the main water balance components of the catchment: total runoff at several gauging stations, runoff components, evapotranspiration and soil moisture.
A basic methodology for designing simulation scenarios was employed in order to reduce the number of simulated cases.
In addition, the implication of the proposed methodology for flow simulation is also presented.
An integrated methodology for the simulation of practical combustion systems and NOx prediction was developed.
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