Essays about: "Thermal network"

Showing result 6 - 10 of 102 essays containing the words Thermal network.

  1. 6. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Christopher Gauffin; [2023]
    Keywords : Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

    Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE

  3. 7. MODELLING OF HEAT TRANSFER OF RAILWAY SWITCH HEATING

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Siddharth Suresh Sumathi; [2023]
    Keywords : Conjugate Heat transfer analysis; transient analysis; CFD; insulation; measurement data uncertainties.; Konjugat Värmeöverföringsanalys; transientanalys; CFD; isolering; mätdata osäkerheter.;

    Abstract : Switches and crossings are vital components of the railway network. Obstacles to the smooth functioning of these components could result in delays and network traffic. Given the geographical location of Sweden, snow is one of the major obstacles for the switches. READ MORE

  4. 8. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jonas Cederberg; [2023]
    Keywords : Lumped Parameter Thermal Network; Resistance-Capacitance model; Parameter estimation; Modelling of Dynamical Systems; Thermal modelling; Temperature Prediction; Termiskt nätverk med klumpade parametrar; Mostånds-kapacitans modell; Parameterestimering; Modellering av dynamiska system; Termisk modellering; Temperaturprediktion.;

    Abstract : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. READ MORE

  5. 9. Deep learning of nonlinear development of unstable flame fronts

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Ludvig Nobel; [2023]
    Keywords : Technology and Engineering;

    Abstract : The purpose of this study is to investigate Machine Learning methods and their ability to learn the development of nonlinear unstable flame fronts due to diffusive-thermal instabilities. This task is performed by first numerically computing long time-sequences of solutions to the chaotic partial differential equation named Kuramoto-Sivashinsky equation which models such instabilities in a flame front. READ MORE

  6. 10. Potential benefits of implementing demand response into Vattenfall’s district cooling grid in Uppsala, Sweden

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Magdalena Guerrero Wretljung; [2023]
    Keywords : ;

    Abstract : Lately, there has been an increased cooling demand in Vattenfall’s district cooling (DC) network in Uppsala, Sweden. This especially occurs on warmer summer days, during so-called peak demand periods, where there is limited cooling capacity combined with limited distribution capacity in the network. READ MORE