Numerical Methods and Computer Simulations in Energy Analysis

Dear Colleagues,

The main aim of this Topic is the dissemination of research regarding the current state of numerical methods, models, optimization algorithms and computer simulation techniques in energy analysis. Energy analysis is understood as its harvesting, consumption, storage, accumulation, transformation and also its direct usage for the various energy-based numerical technique formulations and implementations. Modern numerical techniques include the Finite Element Method, Finite Volume Method, Boundary Element Method, as well as Finite Difference Method. Likewise, the Topic covers approaches based on optimization algorithms, machine learning methods, and computer simulation techniques. Works on a variety of meshless or semi-analytical approaches are welcome together with those that address artificial intelligence or cellular automata models.

Interaction in between these two fields includes reliability engineering of (solar, geothermal or wind) energy systems, computer analysis of various coupled phenomena in engineering, numerical solutions of various fluid and heat flow problems, as well as simulations of thermal, mechanical and electro-magnetic energy exchanges in modern engineering systems and structures. Numerical studies of energetic efficiency, optimization and durability of new technical solutions are especially welcome, including hybrid energy harvesting.

All contributions related to numerical sensitivity analysis, as well as analyses of statistical scattering or stochastic phenomena in different forms of energy exchanges, are invited also. Semi-analytical approaches in energy numerical analysis are understood as computer programs written in conjunction with computer algebra systems and their applications to deliver energy and its exchange determination for some specific applications.

Manuscripts from both academia, research and development laboratories, industry and also from small companies are invited to this topic collection.

Prof. Dr. Marcin Kamiński
Prof. Dr. Angel A. Juan
Topic Editors