Especially, small and medium-sized
businesses benefit from the easy-to-use
software. They can easily identify potential
savings or system errors, reduce energy
costs and cut CO 2 emissions. All analyses
can be shown in flexibly configurable
dashboards or report templates and
assigned to cost centers. Users are
automatically notified by e-mail or text
messages (SMS) of irregularities in energy
consumption or unusual system behavior.
The days of electricity
flowing through
cables unobserved are
numbered
In addition, integration in Desigo CC
enables regression analyses. By comparing
consumption data with information from
presence detectors, for example, it can be
determined if energy for lighting, heating or
air conditioning is being used in temporarily
unoccupied parts of the building. If electrical
systems such as elevators or escalators
consume an unusually large amount of
electricity, this can be similarly compared
with the maintenance intervals defined in
the building management. If necessary,
these must be shortened to avoid expensive
repairs and breakdowns.
REAL-TIME ENERGY DATA
ANALYSIS VIA APP
The new Sentron “powermind” app
analyzes energy data directly in
MindSphere, the cloud-based, open IoT
operating system from Siemens. Users
see a real-time overview of current energy
consumption and trends over time – both
for entire systems as well as individual
electrical loads. The app is easy to use and
requires no specific IT skills, allowing even
inexperienced users to enter the world of
digital energy management.
For further information, please visit siemens.com
Issue 43 PECM
97