Sökning: "module temperature"
Visar resultat 1 - 5 av 106 uppsatser innehållade orden module temperature.
1. Study case: The water-cooling effect on floating photovoltaic plants performance
Master-uppsats, KTH/EnergiteknikSammanfattning : 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
2. Hardware Subsystem Proposal of an Off-Vehicle Battery Analyzer from a Charging/Discharging Perspective
Kandidat-uppsats, Högskolan Väst/Institutionen för ingenjörsvetenskapSammanfattning : Electric Vehicles (EVs) are seen as one of the solutions to some of the world’s global current problems, such as global warming and air pollution, due to non-existent operational emissions and increased efficiency. There are multiple types of EVs, one of them being Battery Electric Vehicles (BEVs) which in most cases utilizes a Li-Ion battery pack as energy storage. LÄS MER
3. Design och implementering av en fjärrstyrd robotbil för inspektion och rekognosering av riskfyllda platser
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : En kostnadseffektiv, liten robotbil som är fjärrstyrd via Wi-Fi harutformats och testats för att möjliggöra inspektion och identifiering avpotentiella faror vid olycksplatser. Robotbilenär avsedd att användasför rekognosering och inspektion och kan bidra till att utforma enadekvat insatsplan. LÄS MER
4. Analysis of the efficiency and performance of half-cell solar modules
Magister-uppsats, Högskolan i Gävle/Energisystem och byggnadsteknikSammanfattning : Solar photovoltaic energy has gained great importance in the last couple of years, as its costs getlower and the total installed capacity increases. As a result of this, new technologies are arisingwithin the field, with the objective of increasing performance and reducing costs. LÄS MER
5. Fault Detection in PV System using Machine Learning Technique
Master-uppsats, Högskolan Dalarna/MikrodataanalysSammanfattning : With the steady and rapid reliance on solar power as a viable alternative to traditional fuel-based energy, maintenance of solar panels is becoming an unavoidable issue for both producers and consumers. Machine learning techniques are useful in detecting solar panel faults and their life span. LÄS MER