Modelling of Thermal and Energy Systems II

Dear Colleagues,

At present, in the Industry 4.0 era, it is possible to respond to the behavior of several real systems with a very good adjustment. Modelling tools are present in the majority of engineering disciplines, including energy, manufacturing, reliability, business, etc. However, it is interesting to define Modelling properly, to separate from and not confuse Modelling with simulation.

A correct model solves the physical equations representing the real phenomena that are going to take place in a real system. The fidelity of the model will be strongly determined by the correct physical laws included in the model, the simplifying assumptions, and subjected validation process for the model. A model is able to obtain parameters from different integrated parts of a complex system. In addition, a model is a powerful tool to optimize and to predict a real system.

Meanwhile, a simulation is the statistical response of a system; therefore, the reliability of a simulation is based on the amount of disposable data for the simulated system. In fact, Big Data techniques simulate a known system, but they are not able to get a response from new systems.

Utilizing Modelling tools, we are able to accurately predict the energy flows, power requirements, energy consumption, temperature, humidity, pressure, etc. for several components and their interconnections to develop complex Modelling systems. It is possible to evaluate the impact of a specific measure on a component (i.e., a partial optimization, changes of an environmental/internal parameter, etc.) and to obtain the impact of the whole system. Furthermore, the combination of Modelling and experimentation is the best strategy for the analysis, acquisition of knowledge, optimization, and control of a thermal or energy system.

This Special Issue focuses on the analysis, design, validation, response, and implementation of Modelling of Thermal and Energy Systems. The topics of interest for the Special Issue include (but are not limited to):

• Modelling of thermal systems;
• Modelling of complex energy systems;
• Thermal correlations Modelling;
• Two-phase flow Modelling;
• Heat exchangers Modelling and design;
• Modelling of internal combustion engines;
• Reliability and failure detection Modelling;
• Air conditioning and refrigerant systems;
• Computational fluid dynamics (CFD) for thermal and energy systems;
• Modelling of thermal processes (evaporation and condensation);
• Modelling of energy flows;
• Optimization and efficiency use of energy systems;
• Renewable energy models, thermal and PV solar energy, wind, biomass, biofuels, etc.;
• Modelling of the desalinization process;
• Thermal energy storage Modelling;
• Modelling of building energy consumption, isolation of buildings, etc.

Prof. Dr. Francisco Vera García
Guest Editor

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