Angela Meyer

Angela Meyer
Bern University of Applied Sciences | BFH · Department of Engineering and Information Technology

Dr. sc. ETH

About

25
Publications
1,787
Reads
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209
Citations

Publications

Publications (25)
Preprint
The operation and maintenance costs of wind parks make up a major fraction of a park's overall lifetime costs. They also include opportunity costs of lost revenue from avoidable power generation underperformance. We present a machine-learning based decision support method that minimizes these opportunity costs. By analyzing the stream of telemetry...
Preprint
Full-text available
The trend towards larger wind turbines and remote locations of wind farms fuels the demand for automated condition monitoring and condition-based maintenance strategies that can reduce the operating cost and avoid unplanned downtime. Normal behaviour modelling has been introduced to automatically detect anomalous deviations from normal operation ba...
Article
Full-text available
Wind power is seeing a strong growth around the world. At the same time, shrinking profit margins in the energy markets let wind farm managers explore options for cost reductions in the turbine operation and maintenance. Sensor based condition monitoring facilitates remote diagnostics of turbine subsystems , enabling faster responses when unforesee...
Preprint
Most wind turbines are remotely monitored 24/7 to allow for an early detection of operation problems and developing damage. We present a new fault detection method for vibration-monitored drivetrains that does not require any feature engineering. Our method relies on a simple model architecture to enable a straightforward implementation in practice...
Article
Full-text available
A growing number of wind turbines are equipped with vibration measurement systems to enable a close monitoring and early detection of developing fault conditions. The vibration measurements are analyzed to continuously assess the component health and prevent failures that can result in downtimes. This study focuses on gearbox monitoring but is appl...
Preprint
Full-text available
A growing number of wind turbines are equipped with vibration measurement systems to enable a close monitoring and early detection of developing fault conditions. The vibration measurements are analyzed to continuously assess the component health and prevent failures that can result in downtimes. This study focuses on gearbox monitoring but is appl...
Article
Full-text available
The global wind power capacity continues to grow at a fast pace. However, the profit margins from wind power are being compressed in many countries. Thus, many wind farm owners seek to reduce their operational expenses, including those for maintenance work. In this study, an artificial intelligence-based condition monitoring and predictive maintena...
Article
Full-text available
The trend towards larger wind turbines and remote locations of wind farms fuels the demand for automated condition monitoring strategies that can reduce the operating cost and avoid unplanned downtime. Normal behaviour modelling has been introduced to detect anomalous deviations from normal operation based on the turbine’s SCADA data. A growing num...
Chapter
Full-text available
Wind power is seeing a strong growth around the world. At the same time, shrinking profit margins in the energy markets let wind farm managers explore options for cost reductions in the turbine operation and maintenance. Sensor-based condition monitoring facilitates remote diagnostics of turbine subsystems, enabling faster responses when unforeseen...
Preprint
Full-text available
Wind power is seeing a strong growth around the world. At the same time, shrinking profit margins in the energy markets let wind farm managers explore options for cost reductions in the turbine operation and maintenance. Sensor-based condition monitoring facilitates remote diagnostics of turbine subsystems, enabling faster responses when unforeseen...
Article
Full-text available
We present a validation study of direct normal irradiance (DNI) estimates from HelioMont with ground-based measurements from two European sites for the year 2015. The HelioMont algorithm infers irradiance with data from the Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager (SEVIRI) instrument as the primary source of informat...
Article
The cover image, by Pascal Kuhn et al., is based on the Special Issue Paper Validation of an all‐sky imager–based nowcasting system for industrial PV plants, https://doi.org/10.1002/pip.2968.
Article
Full-text available
Downward-facing shadow cameras might play a major role in future energy meteorology. Shadow cameras directly image shadows on the ground from an elevated position. They are used to validate other systems (e.g. all-sky imager based nowcasting systems, cloud speed sensors or satellite forecasts) and can potentially provide short term forecasts for so...
Article
Cirrus clouds impact the planetary energy balance and upper-tropospheric water vapor transport and are therefore relevant for climate. In this study cirrus clouds at temperatures colder than 240°C simulated by the ECHAM-Hamburg Aerosol Module (ECHAM-HAM) general circulation model are compared to Cloud- Aerosol Lidar and Infrared Pathfinder Satellit...
Article
Because of the cloud-induced variability of the solar resource, the growing contributions of photovoltaic plants to the overall power generation challenges the stability of electricity grids. To avoid blackouts, administrations started to define maximum negative ramp rates. Storages can be used to reduce the occurring ramps. Their required capacity...
Article
Full-text available
Highly spatially and temporally resolved solar irradiance maps are of special interest for predicting ramp rates and for optimizing operations in solar power plants. Irradiance maps with lead times between 0 and up to 30 min can be generated using all-sky imager based nowcasting systems or with shadow camera systems. Shadow cameras provide photos o...
Article
Mainly due to clouds, Direct Normal Irradiance (DNI) displays short-term local variabilities affecting the efficiency of concentrating solar power (CSP) plants. To enable efficient plant operation, DNI nowcasts in high spatial and temporal resolutions for 15 to 30 minutes ahead are required. Ground-based All Sky Imagers (ASI) can be used to detect,...
Conference Paper
Mainly due to clouds, Direct Normal Irradiance (DNI) displays short-term local variabilities affecting the efficiency of concentrating solar power (CSP) plants. To enable efficient plant operation, DNI nowcasts in high spatial and temporal resolutions for 15 to 30 minutes ahead are required. Ground-based All Sky Imagers (ASI) can be used to detect,...
Conference Paper
Full-text available
We present a validation study of Direct Normal Irradiance (DNI) derived from MSG/SEVIRI radiance measure- ments over the site of Plataforma Solar de Almeria (PSA), a solar power plant in Southern Spain. The 1 km x 1 km site of PSA hosts about a dozen pyrheliometers operated by the German Aerospace Centre (DLR) and the Centre for Energy, Environment...
Article
We have examined tropical land mean surface air temperature and precipitation responses to the eruptions of El Chichón in 1982 and Pinatubo in 1991, as simulated by the ’atmosphere-only’ GCMs (AMIP) of the Climate Model Intercomparison Project CMIP5, and compared them to three observational datasets. We statistically separated the El Niño-Southern...
Article
The eruption of the Eritrean Nabro volcano in June 2011 was the largest eruption since Mount Pinatubo in June 1991. The Nabro volcano emitted 1–1.5 Mt of sulfur dioxide into the lower stratosphere which resulted in a significant rise in the stratosphericsulfate aerosol burden in the months following the eruption. We have analyzed backscatter and ex...
Article
We are assessing the performance of the general circulation model ECHAM6 in capturing global and regional precipitation responses to the 1991 eruption of Mount Pinatubo. With sea-surface temperatures prescribed according to observations, we find that the magnitude of precipitation anomalies is well captured regionally, but not globally. The sign of...

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Projects

Projects (2)
Project
Our project proposal Probabilistic Intraday Forecasting of Photovoltaic Power generation for the Swiss Plateau (PIPP) has been approved by the Swiss National Science Foundation. The PIPP project aims at developing more accurate forecasting methods of the photovoltaic power generation at lead times of up to several hours.
Project
Our joint research project with WinJi AG on Predictive Maintenance for Wind Turbines has been approved and is being funded by the Swiss Innovation Agency, Innosuisse. The project aims at developing fault detection algorithms for wind turbine components. We are looking forward to this exciting collaboration!