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Visar resultat 1 - 5 av 8 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Technical performance modelling and optimization of PVT collectors in GSHP integration

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Marin Courcault; [2023]
    Nyckelord :PVT; ISO9806:2017; mass flow; use conditions; test conditions; coefficients optimization; TRNSYS; PVT; ISO9806:2017; massflöde; användningsförhållanden; testförhållanden; optimering av koefficienter; TRNSYS;

    Sammanfattning : In order to contribute to reducing the CO2 emissions related to heating in housing buildings, PVT+GSHP systems appear to be interesting solutions and therefore need to be further investigated to optimise their design and increase their deployment on the field. This thesis focused on building PVT model, using the ISO9806:2017, to be integrated in a PVT+GSHP model and determining optimal PVT design parameters for this system. LÄS MER

  3. 2. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach

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

    Författare :Siva Satya Sri Ganesh Seeram; [2022]
    Nyckelord :Link Adaptation; OLLA; AMC; Reinforcement Learning; DDPG; BLER; Länkanpassning; OLLA; AMC; förstärkningsinlärning; DDPG; BLER;

    Sammanfattning : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. LÄS MER

  4. 3. Evaluation of X-band Weather Radar Data in Urban Hydrology

    Master-uppsats, Lunds universitet/Avdelningen för Teknisk vattenresurslära

    Författare :Alva Kalm; Camilla Hedell; [2019]
    Nyckelord :Urban hydrology; X-band radar; Bias correction; Error analysis; Neural network; Scania.; Technology and Engineering;

    Sammanfattning : Throughout history it has always been crucial to accurately measure, track, and predict precipitation. This has been done using various methods with varying degrees of precision. As the world evolves and as urban areas expand, it has become more apparent that there is a need for a more efficient way to observe and record precipitation. LÄS MER

  5. 4. Machine Learning Approaches on a Travel Time Prediction Problem

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Sara Danielsson; [2018]
    Nyckelord :;

    Sammanfattning : This thesis concerns the prediction of travel times between two points on a map, based on a combination of link-scale road network data and historical trip-scale data. The main idea is that the predictions using the road network data can be improved by a correction factor estimated from historical trip data. LÄS MER

  7. 5. Heliostat Design

    Master-uppsats, KTH/Maskinkonstruktion (Inst.)

    Författare :Nils Björkman; [2014]
    Nyckelord :Solar Power; Heliostat; Thermal solar power; Solar Power Tower; Central Receiver System; Solenergi; Heliostat; Termisk solenergi; Solar Power Tower; Tornsolkraftverk;

    Sammanfattning : A heliostat is a motorized mirror used in a Solar Power Tower plant. The technology has been around since the 1970’s, and involves hundreds or thousands of heliostats reflecting the sun’s rays to the top of a high tower, where the incident solar energy is converted to heat energy, which in turn is used to drive steam turbines and produce electricity. LÄS MER