Sökning: "energiledningssystem"
Visar resultat 1 - 5 av 10 uppsatser innehållade ordet energiledningssystem.
1. Reliability and Cost-Benefit Analysis of the Battery Energy Storage System
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The battery energy storage system (BESS) is crucial for the energy transition and decarbonisation of the energy sector. However, reliability assessment and capital cost challenges can hinder their widespread deployment. LÄS MER
2. CHARGING HYBRID IS THE FUTURE FOR FERRIES : A case study on partial electrification of the Gotland ferries in Sweden
Uppsats för yrkesexamina på avancerad nivå, Mälardalens universitet/Akademin för ekonomi, samhälle och teknikSammanfattning : The Swedish climate target for the transport sector is that the emissions will be reduced by 70% by 2030 compared to 2010. A reduction of 27% has already taken place and a reduction of one million tons of CO2 per year remains until the target in 2030. In 2020, Sweden's domestic shipping accounted for 660,000 tons of CO2 emissions. LÄS MER
3. Sizing and Modeling of a Microgrid for Integrated Production of Hydrogen
Master-uppsats, KTH/Kraft- och värmeteknologiSammanfattning : With increased concerns on climate change, the upcoming hydrogen economy shows to be a promising alternative for many energetic challenges. As current equipment efficiency advances and new technologies arise, a frequently asked question is how to produce hydrogen from water electrolysis with lower costs and lower environmental impact. LÄS MER
4. Optimal Energy Management System for a Fuel Cell Hybrid Electric Vehicle
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Fuel Cell Hybrid Electric vehicles are hybrid vehicles that consist of both fuel cells and batteries as energy conversion systems. The Energy Management System plays an important role in the operation of the fuel cell hybrid system, as it helps in reducing the hydrogen consumption of the system. LÄS MER
5. A Comparative Analysis of RNN and SVM : Electricity Price Forecasting in Energy Management Systems
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A trend in increasing electricity consumption and technological innovation has resulted in automated energy management systems. Forecasting movement of the electricity price with machine learning plays a role in the sustainability of these systems. LÄS MER