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Smart Energy Management and Strategic Decision Making Platform

Objective

The way industries manage and consume energy is currently unsustainable. Today the industrial sector accounts for onethird
of world energy use and industrial energy consumption is set to rise by 50% in just 20 years. On average, an industry
spends one-third of its operating budget on energy. This drastically increases electricity bills while reducing productivity. Up
to 35% of total industrial energy, or 110€ billion could be saved every year, just through the application of energy-saving and
low carbon practices. Heating, Ventilation and Air Conditioning (HVAC) is responsible for around 40% of the energy
consumption in industrial plants. Frequently, this is the largest energy consuming type of equipment on a site and can
therefore provide significant scope for saving energy and money.

W-THINK is an Industrial Energy Management System (IEMS) Software as a Service (SaaS) that optimizes and reduces
energy consumption of HVAC and superheated water using state of the art Industrial Internet of Things (IoT), Big Data and
machine learning algorithms. W-THINK collects the basic data from around the variety of sensors around the plant, analyses
this data and compares it to external data, such as future weather patterns, takes control of the plant’s systems for HVAC
and superheated water, and optimizes their performance to ensure optimal use of energy. This is all done automatically and
in real time.
Furthermore, as this software is hardware neutral and easily customisable to meet users’ needs, it is a cost effective solution
for any scale and type of industrial plant.

The aim of our project is to make W-THINK available to be used by all types of industries in Europe and worldwide. The
IEMS market is set to from 12.3€ billion in 2015 to 32€ billion in 2024, and achieving our projections will provide an
estimated overall profit of 9,7M€ within 5 years after the project ending, a return of 550%.

Field of science

  • /natural sciences/computer and information sciences/software
  • /engineering and technology/mechanical engineering/thermodynamic engineering
  • /engineering and technology/environmental engineering/energy and fuels/renewable energy
  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-SMEINST-1-2016-2017
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

WATTABIT SL
Address
Calle De La Llacuna 22
08005 Barcelona
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000