Sökning: "numerical grid"
Visar resultat 1 - 5 av 90 uppsatser innehållade orden numerical grid.
1. Thermal and flow field validation of lattice Boltzmann method solver
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikSammanfattning : Computational fluid dynamics, abbreviated CFD, is a valuable tool for several engineering applications. Applications such as heating, cooling or drying are some examples of areas where CFD is used. LÄS MER
2. Flexible Sector Coupling (FSC) of Electrical and Thermal Sectors via Thermal Energy Storage (TES) : A Case Study on Oskarshamn Energi
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The integration of distributed energy sources and systems is of high relevance for the transition towards a more sustainable energy system. Taking into consideration the amount of emissions produced by the heating sector, which account for at least half of the energy demand in buildings, district heating systems have the potential to play a key role in the transition, by enabling the integration of various energy sources and provide flexible energy services to the grid. LÄS MER
3. Improved Statistical Methods for Elliptic Stochastic Homogenization Problems : Application of Multi Level- and Multi Index Monte Carlo on Elliptic Stochastic Homogenization Problems
Kandidat-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskapSammanfattning : In numerical multiscale methods, one relies on a coupling between macroscopic model and a microscopic model. The macroscopic model does not include the microscopic properties that the microscopic model offers and that are vital for the desired solution. LÄS MER
4. Application of Physics-Informed Neural Networks for Galaxy Dynamics
Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)Sammanfattning : Developing efficient and accurate numerical methods to simulate dynamics of physical systems has been an everlasting challenge in computational physics. Physics-Informed Neural Networks (PINNs) are neural networks that encode laws of physics into their structure. LÄS MER
5. Development of HVAC simulations for truck cabins using OpenFOAM
Master-uppsats, Linköpings universitet/Mekanisk värmeteori och strömningsläraSammanfattning : In regions with cold climates, a layer of ice often forms on vehicle windshields, whichobstructs the driver’s view. To address this issue, vehicles are equipped with internal defrosters. However, at Scania, the evaluation of defroster design performancecurrently relies on time-consuming and costly physical testing. LÄS MER