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IGP

Intelligent Grid Platform

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "IGP" data sheet

The following table provides information about the project.

Coordinator
ENVELIO GMBH 

Organization address
address: EUPENER STRASSE 165
city: KOLN
postcode: 50933
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 Germany [DE]
 Project website https://envelio.de/en/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2019-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ENVELIO GMBH DE (KOLN) coordinator 50˙000.00

Map

 Project objective

The energy sector is going through a transformation from a one directional centralized system in which energy is produced by a limited number of big power plants into a highly decentralized ecosystem due to the introduction of small-scale renewable energies and the electrification of mobility. In this situation, power distribution grid operators’ current workflows and IT systems cause inconsistent data management which complicates their planning and operation activities. Therefore, essential grid planning and operation workflows involve significant manual input. As a result, e.g. the evaluation of a connection request for a single new wind turbine often takes multiple days. Additionally, Smart Grid Technologies cannot be used to their full extent to avoid curtailment of renewables in congestion management, and to substitute conventional expensive grid capacity expansions. We have developed the Intelligent Grid Platform (IGP), the only integral software solution using machine learning algorithms to allow grid operators to reduce their operational and network expansion investment costs by giving them the means to clean and connect their data, digitize and automate their grid planning and operation activities and to more easily integrate smart grid technologies to help their operation processes and avoid expensive network capacity extensions. As a result, they save time and engineering resources by up to 70% and reduce grid operation and expansion costs by 40% to 60%. In this project, we will advance the IGP applications for online gird operation.

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

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