Filtern
Erscheinungsjahr
- 2023 (94) (entfernen)
Dokumenttyp
- Wissenschaftlicher Artikel (46)
- Teil eines Buches (Kapitel) (16)
- Konferenzveröffentlichung (15)
- Beitrag zu einer (nichtwissenschaftlichen) Zeitung oder Zeitschrift (4)
- Sonstiges (4)
- Rezension (3)
- Buch (Monographie) (2)
- Preprint (2)
- Masterarbeit (1)
- Audio (1)
Volltext vorhanden
- nein (94) (entfernen)
Schlagworte
- Dissipative Particle Dynamics (2)
- Field measurement (2)
- Solar modules (2)
- AI (1)
- Additive manufacturing Directed energy deposition-arc 316L stainless steel Corrosion behavior Electrochemical corrosion (1)
- Arbeitskräftemangel (1)
- Augmented Multiphase (1)
- Augmented Three-Phase AC-Railgun (1)
- Automatisierung, Journalismus, Literaturüberblick (1)
- Bericht an den Club of Rome (1)
- Bionik (1)
- Brennstoffzellen (1)
- Chemistry Development Kit, CDK, Molecule fragmentation, In silico fragmentation, Scaffolds, Functional groups, Glycosidic moieties, Rich client, Graphical user interface, GUI (1)
- Digitalisierung (1)
- Dissipative particle dynamics, DPD, Surfactant, Bilayer, Lamellar, Simulation, Mesoscopic (1)
- Elektrokatalysator (1)
- Energiewirtschaft (1)
- Eventmanagement; digitale Events; interne Kommunikation (1)
- Graphitisierung (1)
- Indien (1)
- Internationale Kooperation (1)
- KMU (1)
- Kohlevlies (1)
- Kreislaufwirtschaft (1)
- Modular Design (1)
- Multiphase Rail Launcher (1)
- Nachhaltigkeit, GEG, intelligente Gebäude (1)
- Nachhaltigkeitsreporting (1)
- Negativzinsen (1)
- New Work, Information and Communication Industry, Innovation, Organizational Goals, Survey (1)
- NiCrBSi coatings; flame spraying; induction remelting; wear resistance (1)
- OCSR (1)
- Performance prediction (1)
- Rail Launcher (1)
- Segmentation; Correlation; Diseases; Convolutional Neural Networks (1)
- Sprachunterricht (1)
- Studentenaustausch (1)
- Temperature coefficients (1)
- Tüpfel (1)
- Umverteilungspolitik (1)
- Ventil (1)
- Wasserstoff-Kraftwerke (1)
- Wärmepumpen, VDI 4645, Jahresarbeitszahl, Wärmewende, Bewertungstool (1)
- artificial intelligence (1)
- consent banner (1)
- cookie banner (1)
- cookies (1)
- flachbauend (1)
- fused deposition modeling (FDM); fused filament fabrication (FFF); polylactic acid (PLA); layer height; layer thickness; filament color; PLA color; dimensional accuracy; tensile strength (1)
- grüne Geldpolitik (1)
- ingots (1)
- machine learning (1)
- optical chemical structure recognition (1)
- photovoltaic power systems (1)
- privacy (1)
- self-fluxing; ZrO2; NiCrBSi; vacuum post-treatment; thermal spraying (1)
- silicon (1)
- solar cells (1)
- sustainable development (1)
- web measurement (1)
Institut
- Fachbereiche (14)
- Wirtschaftsrecht (13)
- Institut für biologische und chemische Informatik (8)
- Maschinenbau Bocholt (7)
- Westfälisches Energieinstitut (7)
- Maschinenbau und Facilities Management (5)
- Wirtschaft Gelsenkirchen (5)
- Wirtschaft und Informationstechnik Bocholt (5)
- Informatik und Kommunikation (4)
- Institute (2)
Cookie notices (or cookie banners) are a popular mechanism for websites to provide (European) Internet users a tool to choose which cookies the site may set. Banner implementations range from merely providing information that a site uses cookies over offering the choice to accepting or denying all cookies to allowing fine-grained control of cookie usage. Users frequently get annoyed by the banner’s pervasiveness as they interrupt “natural” browsing on the Web. As a remedy, different browser extensions have been developed to automate the interaction with cookie banners.
In this work, we perform a large-scale measurement study comparing the effectiveness of extensions for “cookie banner interaction.” We configured the extensions to express different privacy choices (e.g., accepting all cookies, accepting functional cookies, or rejecting all cookies) to understand their capabilities to execute a user’s preferences. The results show statistically significant differences in which cookies are set, how many of them are set, and which types are set—even for extensions that aim to implement the same cookie choice. Extensions for “cookie banner interaction” can effectively reduce the number of set cookies compared to no interaction with the banners. However, all extensions increase the tracking requests significantly except when rejecting all cookies.
In this work a mathematical approach to calculate solar panel temperature based on measured irradiance, temperature and wind speed is applied. With the calculated module temperature, the electrical solar module characteristics is determined. A program developed in MatLab App Designer allows to import measurement data from a weather station and calculates the module temperature based on the mathematical NOCT and stationary approach with a time step between the measurements of 5 minutes. Three commercially available solar panels with different cell and interconnection technologies are used for the verification of the established models. The results show a strong correlation between the measured and by the stationary model predicted module temperature with a coefficient of determination R2 close to 1 and a root mean square deviation (RMSE) of ≤ 2.5 K for a time period of three months. Based on the predicted temperature, measured irradiance in module plane and specific module information the program models the electrical data as time series in 5-minute steps. Predicted to measured power for a time period of three months shows a linear correlation with an R2 of 0.99 and a mean absolute error (MAE) of 3.5, 2.7 and 4.8 for module ID 1, 2 and 3. The calculated energy (exemplarily for module ID 2) based on the measured, calculated by the NOCT and stationary model for this time period is 118.4 kWh, resp. 116.7 kWh and 117.8 kWh. This is equivalent to an uncertainty of 1.4% for the NOCT and 0.5% for the stationary model.
Advanced Determination of Temperature Coefficients of Photovoltaic Modules by Field Measurements
(2023)
In this work data from outdoor measurements, acquired over the course of up to three years on commercially available solar panels, is used to determine the temperature coefficients and compare these to the information as stated by the producer in the data sheets. A program developed in MatLab App Designer allows to import the electrical and ambient measurement data. Filter algorithms for solar irradiance narrow the irradiance level down to ~1000 W/m2 before linear regression methods are applied to obtain the temperature coefficients. A repeatability investigation proves the accuracy of the determined temperature coefficients which are in good agreement to the supplier specification if the specified values for power are not larger than -0.3%/K. Further optimization is achieved by applying wind filter techniques and days with clear sky condition. With the big (measurement) data on hand it was possible to determine the change of the temperature coefficients for varying irradiance. As stated in literature we see an increase of the temperature coefficient of voltage and a decline for the temperature coefficient of power with increasing irradiance.
Künstliche Intelligenz (KI) ermöglicht es, komplexe Zusammenhänge und Muster aus großen Datenmengen zu extrahieren und in einem statistischen Modell zu erfassen. Dieses KI-Modell kann anschließend Aussagen über zukünftig auftretende Daten treffen. Mit dem zunehmenden Einsatz von Künstlicher Intelligenz rücken solche Systeme auch immer mehr ins Visier von Cyberkriminellen. Der Artikel beschreibt umfassend Angriffsszenarien und mögliche Abwehrmaßnahmen.