Sökning: "tidsberoende"

Visar resultat 1 - 5 av 116 uppsatser innehållade ordet tidsberoende.

  1. 1. Investigating the dynamics between the developing Nordic hydrogen market and the electricity system under uncertainty

    Master-uppsats, KTH/Energiteknik

    Författare :Timon Renzelmann; [2024]
    Nyckelord :energy modelling; energy storage; global sensitivity analysis; hydrogen; Method of Morris; Nordics; OSeMOSYS; uncertainty analysis; energimodellering; energilagring; global känslighetsanalys; vätgas; Morris-metoden; Nordiska länder; OSeMOSYS; osäkerhetsanalys;

    Sammanfattning : The potential of hydrogen as a clean energy carrier is hotly debated, but it promises to significantly contribute to a sustainable energy future. Hydrogen can replace fossil fuels in carbon-intensive industries, heavy transport and aviation, and support a renewable energysystem by acting as energy storage to balance intermittent supply. LÄS MER

  2. 2. Simuleringar av ytaktiva ämnen med hjälp av skurna finita elementmetoder (CutFEM)

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Emmy Staberg; Samuel Blakeman; [2023]
    Nyckelord :Coupled bulk-surface problem; Cut finite element method CutFEM ; Evolving domains;

    Sammanfattning : I denna studie analyserar vi numeriska metoder som beskriver koncentrationen av ytaktiva ämnen (surfaktanter). Dessa surfaktanter befinner sig i olösliga vätskor som separeras av ett tidsberoende gränssnitt som påverkas av ett givet hastighetsfält. LÄS MER

  3. 3. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Niklas Barth; [2023]
    Nyckelord :Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

    Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER

  4. 4. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

    Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

    Författare :Wenhan Zhou; [2023]
    Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

    Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER

  5. 5. The effect of disorder on the axial anomaly in a lattice model in 1 + 1 dimensions

    Master-uppsats, KTH/Fysik

    Författare :Agnes Wattrang; [2023]
    Nyckelord :Axial anomaly; tight-binding model; semiclassical physics; correlated disorder.; Axial kiral anomali; tätbindningsmodell; semiklassisk fysik; korrelerad oordning;

    Sammanfattning : This work investigates the effect of a disorder potential, that represents impurities/dislocations in the lattice, on the time-dependent signature of the axial anomaly in a one-band tight-binding model in one spatial dimension. The tight-binding model is solved numerically and the simulation results are compared with a semiclassical expression for the time-dependent axial density, n5(t), due to Nielsen and Ninomiya [1]. LÄS MER