Mass Transit - 41

POWER SUPPLY
ranges from risk analysis to continuous
monitoring and IT security training.
Thon points to the increasing adoption of Building Information Modeling
for the planning, design and construction
of new projects, which result in a "digital
twin" of the system.
"This 'digital twin' is a computer-generated model that provides object-oriented, parametric and digital
3D depiction of the planned system.
Here, it is possible to play out extensive
simulations that ensure system conflicts are avoided, risks of delays are
reduced and project implementation
can be expedited. At Siemens Mobility, we use Sicat Master together with
Bentley Open Rail to apply standardized and automated work processes
for planning catenary systems.This
significantly reduces project engineering time, as well as results in improved
design quality," said Thon.

Solutions: LTK uses its TrainOps®
simulator software to perform traction
power load flow modeling. It takes a holistic approach to the dynamic modeling
of train operations by simulating the vehicles, signal system, traction power system
and track in a single model. As a result,
the model can determine the change in
an individual train's power draw based on

all the other systems' changes. Dynamic
modeling will uncover sometimes-hidden
operational capacities, system limitations,
or specific weak links in the traction power
chain. This provides critical information
transit systems and railroad operators can
use to make important infrastructure upgrades. The process is unlike other constant power or constant current modeling

Modeling as a
confidence booster

Editor's note: The following section was
submitted by Ethan Kim, P.E., with Paul
Chedrawi, P.E., Edward Manning, and
Richard Rauceo, P.E., LTK Engineering
Services, Inc.
Based on third quarter 2018 ridership data published by the American
Public Transportation Association,
transit ridership on heavy rail, light
rail, and commuter rail has been
steadily declining since 2010. Ridership changes typically result from increases in transportation alternatives,
fuel costs, or the state of the economy. However, some transit authorities
are seeing ridership reductions from
aging infrastructure, overcrowding,
and capacity constraints. Agencies
often respond to these challenges
by extending the length of trains or
running them more frequently. Both
solutions can severely stress the existing traction power system, which
is best examined via simulation and
modeling before changes to the operation are made. These models provide
key information for understanding the
capabilities and limitations of traction
power infrastructure and allow transit
agencies to financially prioritize system improvements.

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