Opendata, web and dolomites

DAMOSET SIGNED

With data-driven modelling towards a successful energy transition

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "DAMOSET" data sheet

The following table provides information about the project.

Coordinator
QUEEN MARY UNIVERSITY OF LONDON 

Organization address
address: 327 MILE END ROAD
city: LONDON
postcode: E1 4NS
website: http://www.qmul.ac.uk

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 United Kingdom [UK]
 Total cost 212˙933 €
 EC max contribution 212˙933 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2021-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    QUEEN MARY UNIVERSITY OF LONDON UK (LONDON) coordinator 212˙933.00

Map

 Project objective

The power grid is an integral part of the power system. It connects all electrical consumers with generators and powers everything from household appliances to large factory machinery. Without this grid, farmers would not be able to feed their animals, car factories would come to a halt, mobile phone systems would fail and many of us would not even be able to make a cup of tea. While the current power system is very reliable and offers a high quality of service, it remains unclear how this will develop in the future. The limited supply of fossil fuels as well as necessary reduction of CO2 emissions to mitigate climate change, will eventually lead to a power grid mainly supplied by renewable generators, such as wind and solar plants. These plants output smaller total power so that a large number is necessary which have to be geographically distributed for optimal weather conditions. The current power grid system slowly emerged within several decades of optimization processes. However, now we are discussing how to revolutionize the whole energy system within years. Therefore, a fundamental understanding of the current power system is necessary to develop potential pathways to a future 100% sustainable system. In the proposed research, I will use data-driven approaches to work towards a quantitative understanding of fluctuations in the power grid, as they are for example introduced by the changing demand or volatile energy generation. I will analyse the British as well as international grids to understand differences in grid operation and potential solutions for grids. A key goal of the proposed project is to offer a data base of these measurements for the scientific community to analyse and to add to. Within this project, I will also develop analysis tools to be used by the scientific community as well as interested companies or government agencies.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DAMOSET" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

BirthControlEnvirons (2019)

Contraception meets the environment: everyday contraceptive practices, politics, and futures in a toxic age

Read More  

DiMaS (2019)

Retrospective genomic analyses of shortfin Mako shark (Isurus oxyrinchus) using DNA from archived jaws

Read More  

PNAIC (2018)

Positive and Negative Asymmetry in Intergroup Contact: Its Impact on Linguistic Forms of Communication and Physiological Responses

Read More