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Visar resultat 1 - 5 av 954 uppsatser som matchar ovanstående sökkriterier.

  1. 1. The Role of Technology Shifts in Urban Decarbonization Modelling : Scenario creation and implementation

    Master-uppsats, KTH/Energisystem

    Författare :Batiste Fourniols; [2024]
    Nyckelord :Urban area; Decarbonization policies; Scenario modeling; District heating; Gas distribution network; Geospatial resolution; Stadsområde; utfasning av fossila bränslen; scenariomodellering; fjärrvärme; gasdistributionsnät; geospatial upplösning;

    Sammanfattning : This work includes modelling of decarbonization scenarios at the scale of an urban area, providing policy insights and a methodology focusing on introducing district heating and maintaining the existing gas distribution network in a case study. With a focus on reducing gas consumption in the residential and tertiary sectors, the research integrates scenario developments giving a methodology to develop district heating, requiring a careful balance in selecting the optimal scale for city-wide analysis. LÄS MER

  2. 2. Improvement of anautomatic networkdrawing algorithm in thecontext of utility networks

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

    Författare :Hyacinthe Ménard; [2024]
    Nyckelord :District Heating Network; Mathematical Optimization; Python; Fjärrvärme; Optimeringslära; Python;

    Sammanfattning : The European Union’s ambitious climate targets necessitate substantial reductions in greenhouse gas emissions, particularly within the heating and cooling sector, which accounts for a significant portion of energy consumption. District Heating and Cooling (DHC) systems emerge as a key solution for decarbonizing this sector by enabling high efficiency heat production and the integration of renewable and carbon-neutral energy sources. LÄS MER

  3. 3. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

    Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Författare :Alireza Momtaz; Mohammad Befkin; [2024]
    Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

    Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER

  4. 4. Integrating Waste Heat from Hydrogen Production Into District Heating

    Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

    Författare :Fawzi Kayali; [2023]
    Nyckelord :Hydrogen; Electrolysis; Waste Heat Recovery; Combined Heat and Power Plant; District Heating; Simulation; Sustainable Heating Systems; Technology and Engineering;

    Sammanfattning : The aim of this research is to explore the feasibility of the integration of waste heat from electrolyzers within a Combined Heat and Power (CHP) plant and district heating (DH) network and suggest a practical setup for integration. With the escalating emphasis on the development of green hydrogen through electrolysis powered by renewable energy, a substantial amount of waste heat is generated, typically left unused. LÄS MER

  5. 5. Emission factors and methods used in climate impact assessments of energy use in Swedish heated buildings - Assessing district heating and electricity as energy source

    Master-uppsats, Lunds universitet/Institutionen för arkitektur och byggd miljö; Lunds universitet/Avdelningen för Energi och byggnadsdesign

    Författare :Louise Piltz Vitanc; Matilda Hinsegård; [2023]
    Nyckelord :Life Cycle Assessment; Climate Calculation; Methodology; B6; Global Warming Potential; Technology and Engineering;

    Sammanfattning : When the property- and building industry moves towards new solutions targeting reduced climate impact, this puts pressure on the building owners and companies to calculate the climate impact of buildings. It may seem easy, but there are various methods and guidelines to navigate around. LÄS MER