Sökning: "Hållbar energy"

Visar resultat 6 - 10 av 1082 uppsatser innehållade orden Hållbar energy.

1. 6. Study case: The water-cooling effect on floating photovoltaic plants performance

   Master-uppsats, KTH/Energiteknik

   Författare :Alice Dragon; [2024]
   Nyckelord :Solar photovoltaic; Floating photovoltaic; Performance analysis; Thermal loss; Panel Efficiency; Cooling effect; Solceller; Flytande solceller; Prestandaanalys; Termisk förlust; Panelens effektivitet; Kylande effekt;

   Sammanfattning : Floating solar technology is relatively new, and it comes with its own set of challenges and opportunities. This master thesis focuses on understanding how Floating Photovoltaic (FPV) projects perform compared to Ground-Based Photovoltaic (GPV) projects, in specific weather conditions. LÄS MER

3. 7. Ready or not? : Analysis of the Swedish Energy Sector's Knowledge and View on CSRD

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

   Författare :Ellen Kornfeld; [2024]
   Nyckelord :CSRD; CSR; NFRD; ESG; SME Energy Sector; SWOT-Analysis; Knowledge-base Analysis; CSRD; CSR; NFRD; ESG; SMF Energisektorn; SWOT-Analys; Kunskapsanalys;

   Sammanfattning : The thesis investigates the view and knowledge among large versus small and medium sized enterprises (SME) regarding the implementation of the Corporate Sustainability Reporting Directive (CSRD). To enable a broad collection of data the study carries out semi-structured interviews and surveys on companies and stakeholders within the Swedish energy sector, as well as a literature review. LÄS MER

4. 8. Offshore Wind Farms in Norway : A Spatial Multi-Criteria Analysis for Optimal Site Location

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

   Författare :Adam Törnqvist; Vincent Edberg; [2024]
   Nyckelord :Offshore wind power; Spatial Multi-criteria Analysis; Renewable energy; Suit-ability map; Geographical Information System; Havsbaserad vindkraft; Spatial multikriterieanalys; Förnybar energi; Lämp-lighetskarta; Geografiskt informationssystem;

   Sammanfattning : Recognizing the imperative transition towards renewable energy sources to combat climate change, this study explores the outlooks for offshore wind power in Norway, a country endowed with extensive coastlines and favourable wind conditions. The thesis sets out to support decision-making processes by synthesizing contemporary research and applying context-specific insights to the southern half of the Norwegian economic zone (NEZ) into a comprehensive Spatial-Multi-criteria Analysis (SMCA). LÄS MER

5. 9. 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. 10. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

   Författare :Khalid El Yaacoub; [2024]
   Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER