Sökning: "District Heating Network"

Visar resultat 1 - 5 av 228 uppsatser innehållade orden District Heating Network.

  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. Techno-economic analysis and simulation of low temperature district heating networks

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

    Författare :Ilia Iarkov; [2023]
    Nyckelord :Low-temperature district heating; Modelica; BTES; LCA; LCC; Technology and Engineering;

    Sammanfattning : The continuous increase in global energy consumption has led to a greater focus on the energy required for heating buildings. This thesis presents a techno-economic model for analysing low-temperature district heating networks coupled with a geothermal heat source. LÄS MER