Page 26 - European Energy Innovation - autumn 2019 publication
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26 Autumn 2019 European Energy Innovation
DIGITLISATION
How digitalisation is
modernising energy efficiency
By Jeremy Sung, Energy Analyst, IEA
From binge-watching television
series, to locating and renting of energy as making 60 cups of tea, devices and equipment are
a car through a smart phone, to others suggesting Bitcoin’s daily enabled with technologies that
our lives increasingly rely on electricity consumption rivals that of can optimise energy use instantly,
a medium-sized country. based on digital signals. In
buildings, connected devices such
digital technologies. Digitalisation as lighting systems, heating and
air-conditioning equipment, and
– the growing interaction and However, much less has been said water heaters can be programmed
to optimise energy use, depending
convergence between the digital and about digital technologies’ potential on the time of day and occupancy
levels. In industrial facilities, smart
physical worlds – is an inevitable to improve energy efficiency and actuators and drives can be
controlled via advanced industrial
process, driven by increasing volumes potentially reduce energy use. energy management systems to
make subtle changes to optimise
of data, advances in our ability energy use while increasing safety
and reducing production costs.
to analyse that data, and greater How can digitalisation improve
connectivity. energy efficiency? A modern office building (or ‘smart
Underpinned by the rollout of high- office’) provides a good example
of how digital technologies can
The energy sector is no different, with speed communications networks, combine to boost energy efficiency.
Increasingly, offices are equipped
digitalisation changing both the way the digitalisation of our homes, with intelligent building energy
management systems (i-BEMS),
energy is supplied and consumed, businesses and transport systems which collect data from sensors
throughout the building: from
as the IEA reported in Digitalization offers the potential to increase energy light sensors, to thermostats, and
occupancy sensors. These data are
and Energy. efficiency through a combination combined with other data from the
electricity grid (collected via a smart
of technologies that perform three meter), as well as data on factors
such as weather conditions (gathered
The growing impact of digital essential tasks: from the cloud). Artificial intelligence
algorithms process the data, and
technologies on energy demand these algorithms ‘learn’ over time to
optimise energy efficiency, while also
has been widely publicised: From 1. Gathering data. This includes considering comfort and potentially
responding to signals from local grid
estimates that streaming a film technologies such as smart operators.
online consumes the same amount meters, which gather high- As individual devices in the office are
fitted with their own sensors and
resolution energy consumption smart switches, the i-BEMS can tailor
energy consumption to the precise
data from homes and businesses, needs of the workers within a
specific zone of the office, and
Jeremy Sung as well as technologies that switch devices off automatically
collect a range of data related to
energy use, such as sensors that
record light levels, temperature, or
location (e.g. GPS tracking).
2. Analysing data. Powerful
computers, combined with
increasingly ‘intelligent’ software
algorithms, allow for the
processing and analysis of data to
produce insights into how energy
can be used more efficiently.
Examples include building
information models in commercial
buildings, ‘digital twins’ of
industrial plants, and the on-board
computer in a car.
3. Changing the physical environment
based on data analysis.
Increasingly, our connected
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