Opendata, web and dolomites


Energy Consumption Gamified - Greenely Feasibility Study

Total Cost €


EC-Contrib. €






Project "ECGGFS" data sheet

The following table provides information about the project.


Organization address
postcode: 114 28
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Sweden [SE]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2016
 Duration (year-month-day) from 2016-08-01   to  2017-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GREENELY AB SE (STOCKHOLM) coordinator 50˙000.00


 Project objective

Greenely is a mobile application that provides a visual representation of energy usage, translating raw energy data from smart meters into algorithmic visuals of consumption patterns by hour, day or month; promoting sustainable energy consumption through behavioural data analysis and gamification. Energy Behaviour Gamified: In the last few years, more than 100 million smart meters have been installed in the EU, enabling energy data analysis for energy efficiency, allowing households to access new information to understand their consumption. Greenely is an IT SME disrupting energy efficiency by innovating sustainable energy practices by consumers in the retail market, bringing long-overdue technological advances to the power sector, and valuable data on energy behaviour to researchers. Without Greenely, households are often requested to pay electricity companies to access analysis of their energy consumption data by buying and installing a specific type of hardware to monitor consumption. Greenely is free for consumers and has developed algorithms that can translate the raw energy data and present it in a modern way that is available at any time. This feasibility study will address the users, technology, market, IPR, commercialisation strategy, and partners/stakeholders.

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The information about "ECGGFS" are provided by the European Opendata Portal: CORDIS opendata.

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