Optimizing The Energy Consumption And
Operational Availability Of Point Heaters Using
Weather Forecasts
Author(s)
C. Weiß, T. Käsemann & K. A. Klinge
Abstract
During the winter season point heaters in the network of the Deutsche Bahn
consume as much electric energy as a large city. They are controlled using
locally measured weather conditions. These are limited to the number and type
of the installed sensors. In the Project InfraGrid the geographical and
chronological context is used to predict the consumption of electric power
accurately and to enhance the operational reliability. Weather forecasts can be
used to predict the times at which the points have to be heated due to fast
changing conditions that would be measured too late by locally installed sensors.
InfraGrid will provide a service that enables the manufacturers of point heaters to
get location based weather forecasts. This will increase the operative availability
of rail crossings and will help to reduce train delays. Additionally these
timestamps are based to calculate the electric load forecasts for point heaters.
Topological and geographical aspects will aggregate the load of each device.
This information enables the supplier to plan the usage of available power
stations and optimise energy trading on spot market, which will in turn reduce
costs for intra-day trading of energy on spot markets. As another option, the use
of turnout heaters to stabilise the energy network comes into reach. This is a key
feature in using renewable energy sources.
Keywords: point heaters, operational reliability, weather forecasts, load
forecast.
Keywords
point heaters, operational reliability, weather forecasts, load
forecast.
Related Book
Other papers in this volume
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