Prieto, A.Carrillo Pousa, GracianoMilián Echazábal, FabiánUniversidade da Coruña. Facultade de Informática2020-07-312020-07-312020-07-20http://hdl.handle.net/2183/26068[Abstract] In the present work, the temperature, wind, and atmospheric pressure elds were calculated in a two- dimensional area by using a model for laminar and incompressible ow with heat transfer. The Navier- Stokes and energy equations were numerically solved by using nite element methods with Fenics, which is an open-source computing platform for solving partial di erential equations. The computational domains were generated with Gmsh; an open-source nite element mesh generator with a built-in CAD engine and post-processor. The code was validated by comparing the nite element solutions with known problems studied by other authors. More complex domains were generated from a topography dataset provided by OpenTopography and the code was run imposing more realistic boundary conditions, such as velocity and temperature pro les. A work ow was developed to show the steps to generate the physical domain from a dataset since, together with a Python script, it solves the model for laminar and incompressible ow with heat transfer in the selected area.engOs titulares dos dereitos de propiedade intelectual autorizan a visualización do contido deste traballo a través de Internet, así como a súa reproducción, gravación en soporte informático ou impresión para o seu uso privado e/ou con fins de estudo e de investigación. En nengún caso se permite o uso lucrativo deste documento. Estos dereitos afectan tanto ó resumo do traballo como o seu contido Los titulares de los derechos de propiedad intelectual autorizan la visualización del contenido de este trabajo a través de Internet, así como su repoducción, grabación en soporte informático o impresión para su uso privado o con fines de investigación. En ningún caso se permite el uso lucrativo de este documento. Estos derechos afectan tanto al resumen del trabajo como a su contenidoFenicsPartial diferential equationsGMSHTopography datasetPythonmaster thesisopen access