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- Description:
- Test
- Keyword:
- Testing
- Publisher:
- RUB
- Date Uploaded:
- 2024-09-11
- Date Modified:
- 2024-09-11
- License:
- Creative Commons CC0 1.0 Universal
- Resource Type:
- Dataset
-
- Description:
- This is a test
- Keyword:
- Testing
- Publisher:
- RUB
- Date Uploaded:
- 2024-09-11
- Date Modified:
- 2024-09-11
- License:
- Creative Commons BY Attribution 4.0 International
- Resource Type:
- Image
-
- Description:
- Extraction modules enable controlled steam extraction, for example to feed a district heating network, while at the same time reducing the turbine output generated. Depending on the set operating point, however, these extraction modules can have a sensitive effect on the surrounding flow field and cause time-dependent and highly asymmetrical component loads. Within the planned project, these operating point-dependent flow fields are to be experimentally measured and analyzed within a generic extraction module. With the help of the experimental measurement results on the generic model, the numerical findings are to be verified and examined with regard to their general validity. and If you are interested in the measurement data please contact andreas.schramm@rub.de
- Keyword:
- Experimental, Steam extraction, and Steam turbines
- Subject:
- Engineering Sciences, Heat Energy Technology, Fluid Mechanics, and Thermal Machines
- Publisher:
- RUB
- Date Uploaded:
- 2024-09-09
- Date Modified:
- 2024-09-09
- License:
- Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
- Resource Type:
- Dataset
-
- Description:
- Abstract
- Keyword:
- Test
- Publisher:
- RUB
- Date Uploaded:
- 2024-09-09
- Date Modified:
- 2024-09-09
- License:
- Creative Commons BY Attribution 4.0 International
- Resource Type:
- Dataset
-
- Description:
- Test test TEst TEST
- Keyword:
- Test
- Publisher:
- RUB
- Date Uploaded:
- 2024-07-25
- Date Modified:
- 2024-07-25
- License:
- GNU General Public License
- Resource Type:
- Dataset
-
- Description:
- This study presents a comprehensive analysis of snow accumulation patterns in Gevelsberg, Germany, spanning a period of one hundred years (1923-2023). The investigation employs a combination of historical records, meteorological data, and advanced statistical methods to assess the temporal trends, variability, and potential drivers of snowfall in the region. Utilizing data obtained from local weather stations, the study reveals a discernible decrease in the overall snowfall depth over the past century. A statistically significant declining trend is observed, with a reduction of approximately [X]% in annual snow accumulation. This trend is particularly prominent in the latter half of the study period, suggesting a noteworthy shift in the region's winter climate. Furthermore, the analysis identifies a growing incidence of milder winter seasons, characterized by lower frequency and intensity of snowfall events. The study attributes these trends to a combination of global climate change factors, regional climatic influences, and local topographical features. Additionally, the research incorporates historical data on temperature, precipitation, and atmospheric circulation patterns to discern potential correlations with observed snowfall trends. It is found that rising average temperatures, coupled with altered precipitation regimes, play a substantial role in shaping the observed decrease in snow accumulation. This study contributes valuable insights into the evolving winter climate of Gevelsberg, Germany, and underscores the broader implications of climate change on regional snowfall patterns. The findings presented here have practical implications for local planning and adaptation strategies, particularly in sectors reliant on seasonal snow cover. Additionally, this research serves as a critical benchmark for future studies aimed at understanding and mitigating the impacts of climate change on snow-dependent ecosystems and human activities in the region.
- Keyword:
- Winter Climate Variability, Long-term Analysis, Climate Change, and Snowfall Trends
- Publisher:
- RUB
- Date Uploaded:
- 2024-06-12
- Date Modified:
- 2024-06-12
- License:
- Creative Commons CC0 1.0 Universal
- Resource Type:
- Dataset