Creating Cities of the Future with Digital Twin Technology
Figure 8: Batteries placed to store excess capacity
The user, after dismissing the warning, can
alter the proposed plan by either removing
some of the panels and/or arrays, or by
placing additional batteries to store the
excess energy as seen in Figure 8.The real
power of using a digital twin platform in this
manner comes from the insights that arise
by combining device characteristics,
environmental factors and expertise from
the various stakeholders. As third-party data
is introduced to the platform, the scenarios
that may be simulated are more realistic and
make for a very useful, flexible planning and
forecasting tool, as well as a modeling and
maintenance
platform
as
piloted
infrastructure scales from virtual to real
world deployment. its vicinity. Tuning and optimizing a network
of digital twin nodes promises to balance
and optimize the lifetime of the endpoints
while ensuring key data is monitored.
A DDRESSING THE I MPACT OF
R ENEWABLES WITH V IRTUAL P ILOTS Using a neighborhood-by-neighborhood
approach and optimizing performance
characteristics of IIoT networks, the digital
twin concept is a promising new planning
and visualization tool for infrastructure
planners, scientists and policy makers. A
Similarly, digital twins enable data scientists
and infrastructure planners to validate and
optimize the impact of new infrastructure
before investing and deploying capital
equipment. By using digital replicas of the
data-producing things and combining their
historical behavior and data, an industrial
internet of things (IIoT) enhanced network
may be tuned and otherwise optimized.
Such a tool helps planners simulate the
impact of data-driven goals before they are
implemented and helps operators monitor
and maintain smart city services.
A digital twin is a powerful proxy, not only
for a device, but for its function and
relationship to other devices and objects in
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