Sökning: "renewable energy consumption"

Visar resultat 1 - 5 av 650 uppsatser innehållade orden renewable energy consumption.

1. 1. Utredning om lönsamhet av solceller för privata hushåll

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för byggteknik (BY)

   Författare :Abdullah Al-Jadirji; [2024]
   Nyckelord :electricity consumption; electricity production; payback period; investment support; electricity bill; elförbrukning; elproduktion; återbetalningstid; investeringsstöd; elräkning;

   Sammanfattning : År 2015 fastställde FN 17 globala mål för hållbar utveckling. Delmål 7.2, en del av det sjunde målet om hållbar energi för alla, anger att den globala andelen förnybar energi behöver öka för att minska effekterna av fossila bränslen. LÄS MER

3. 2. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon

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

   Författare :Azin Farzam; [2024]
   Nyckelord :Shifting Peak Load; Electricity Reduction; Measuring Peak Load; Electricity Efficiency; Building Management System; Electricity Consumption.;

   Sammanfattning : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. LÄS MER

4. 3. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Klara Enerud; [2024]
   Nyckelord :time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

   Sammanfattning : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). LÄS MER

5. 4. 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

7. 5. 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