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Visar resultat 1 - 5 av 14 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Business Model Innovation for Energy Communities : A Cross-Comparative Analysis with the Business Model Canvas in the Swedish energy market

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

    Författare :Sohel Abdu; [2024]
    Nyckelord :Energy Communities; Renewable Energy Systems; Business Model Canvas Innovation; Swedish Energy Policy; Prosumer engagement; Circular Energy Economy; Smart Energy Technology; Sustainable Energy Transition.; Energigemenskaper; Förnybara Energisystem; Affärsmodells Canvas Innovation; Svensk Energipolitik; Prosumer engagemang; Cirkulär Energi Ekonomi; Smart Energiteknik; Hållbar Energi Övergång;

    Sammanfattning : This thesis undertakes a thorough exploration of business models for energy communities, specifically tailored to the unique requirements of the Swedish energy sector. Its objective is to identify and evaluate global business models for energy communities, focusing on their applicability within Sweden's regulatory, market, and socio-cultural contexts. LÄS MER

  3. 2. Empowering Wind Power Development Through Tiering : Investigating the Role of Regional Governance in Värmland

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Patrick Lundmarck; [2023]
    Nyckelord :Sustainable Development; Wind power planning; Collaboration; Participation; Tiering; Regional governance; Sweden; Hållbar utveckling; Vindkraftsplanering; Samverkan; Delaktighet; Tiering; Regional styrning; Sverige;

    Sammanfattning : In the light of the on-going climate emergency and energy crisis, wind power has been described as a rapid pathway towards increasing the share of renewable energy as well as electricity production. However, time consuming and complex permitting processes has been a central obstacle for the transition to take place. LÄS MER

  4. 3. Comparing the Effects of Flexibility Options on Conventional and Low-temperature District Heating Networks : Studying the potential of the next generation of district energy systems

    Master-uppsats, KTH/Energiteknik

    Författare :Mario Nithyanathan; [2022]
    Nyckelord :District heating DH ; low-temperature district heating LTDH ; 4GDH; Flexibility; Thermal energy storage TES ; Optimization; Modelling; Fjärrvärme; Låg-temperatur fjärrvärme; 4GDH; Flexibilitet; Termisk energilagring TES ; Optimering; Modellering;

    Sammanfattning : District heating (DH) systems have been commonplace in Europe for over a century. These systems have undergone an evolution since their conceiving, and today we are at the precipice of the next major transition from the third-generation district heating system (3GDH) to the fourth generation (4GDH). LÄS MER

  5. 4. EU:s nya taxonomi och dess påverkan på vattenkraften i Sverige

    Kandidat-uppsats, KTH/Energiteknik

    Författare :Cristian Contreras Aramayo; [2021]
    Nyckelord :;

    Sammanfattning : Sveriges vattenkraftverk har sedan 1900-talets början haft en central roll för elektrifieringenav Sverige. År 2019 stod vattenkraften för ca 40% av elproduktionen i Sverige, och var i och med det Sveriges största källa till elproduktion tillsammans med kärnkraften. LÄS MER

  7. 5. Long Term Forecasting of Industrial Electricity Consumption Data With GRU, LSTM and Multiple Linear Regression

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

    Författare :Roxana Buzatoiu; [2020]
    Nyckelord :Time Series Analysis; Recurrent Neural Networks; long-term Forecasting; Exploratory Data Analysis; Multiple Linear Regression; ACF; PACF; Energy Sector; Tidsserieanalys; återkommande neurala nätverk; långtidsprognoser; undersökande dataanalys; multipel linjär regression; ACF; PACF; energisektor;

    Sammanfattning : Accurate long-term energy consumption forecasting of industrial entities is of interest to distribution companies as it can potentially help reduce their churn and offer support in decision making when hedging. This thesis work presents different methods to forecast the energy consumption for industrial entities over a long time prediction horizon of 1 year. LÄS MER