System reduces energy costs and CO2 emissions for Metro de
MADRID–(BUSINESS WIRE)–Accenture (NYSE: ACN) has helped Metro de Madrid develop and implement a
self-learning AI-based ventilation system that minimizes energy costs
and emissions and ensures high air quality in metro stations and
The artificial intelligence (AI)-based system has enabled Metro de
Madrid to reduce its energy costs for ventilation by 25 percent and cut
CO2 emissions by 1,800 tons annually. Accenture will present
the system at this year’s MWC
(formerly known as Mobile World Congress) in Barcelona, Feb. 25-28.
On average, 2.3 million commuters use Metro de Madrid’s network of 294
kilometers of track and 301 stations every day. To help passengers stay
cool inside stations, particularly during the hot summer months, Metro
de Madrid operates 891 ventilation fans, which were consuming as much as
80 gigawatt hours of energy annually.
The Madrid Metro Ventilation experts worked with Accenture
Applied Intelligence to develop a system that took inspiration from
an unusual source: the coordinated foraging behavior of a bee colony.
The system deploys an optimization algorithm that leverages vast amounts
of data to explore every possible combination of air temperature,
station architecture, train frequency, passenger load and electricity
price throughout the day. The algorithm uses both historic and simulated
data, factoring in outside and below-ground temperatures over the next
72 hours. Because the algorithm uses machine learning, the system gets
better at predicting the optimal balance for each station on the network
The system also includes a simulation engine and maintenance module,
which allows for, among other things, tracking for failures in the fans’
operation. This enables Metro de Madrid to easily monitor and manage
energy consumption, identify and respond to system deficiencies, and
proactively conduct equipment maintenance.
“With the help from Accenture, the innovative ventilation system has
enabled us to achieve the dual benefits of lower energy costs and a
reduced environment impact,” said Isaac Centellas, Head of Engineering
and Maintenance Division at Metro de Madrid. “Ensuring the comfort of
our passengers while being highly energy-efficient and environmentally
friendly is a true win-win outcome.”
Isabel Fernández, managing director for Accenture Applied Intelligence
in Spain, said, “Our self-learning ventilation system shows how
organizations and society can benefit from intelligent technologies.
It’s an important milestone in our work for Metro de Madrid, and we’re
excited to present it to the public at this year’s MWC, where applied AI
will play a bigger role than ever.”
To schedule a demo of Metro de Madrid’s self-learning ventilation
system at the Accenture MWC booth (Hall 2, 2H20), contact firstname.lastname@example.org.
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Jens R. Derksen
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