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RenewablePortfolio TERMINATED

Market player’s optimal scheduling under integrating renewables in European electricity markets

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 RenewablePortfolio project word cloud

Explore the words cloud of the RenewablePortfolio project. It provides you a very rough idea of what is the project "RenewablePortfolio" about.

2020    peak    scales    strategic    portfolio    prices    decline    levels    energy    managers    industry    depends    units    options    look    participant    incorporating    profit    functioning    lowest    permanently    responsible    power    serving    generating    hedging    price    network    feasible    gas    worldwide    consumers    aftermath    electric    retail    demand    pricing    player    portion    renewable    methodology    industrialized    markets    emissions    time    productions    global    hours    optimize    environment    embracing    generation    players    tool    grid    capacity    countries    environmental    competitive    changing    launched    keeping    acting    transmission    multiple    dynamic    companies    bidding    wind    deregulation    innovative    forecasts    electricity    market    electrical    parts    opportunity    supply    strategy    mainly    volatility    stochastic    providers    balance    phenomena    optimization    output    solar    operators    greenhouse    area    compete    highest   

Project "RenewablePortfolio" data sheet

The following table provides information about the project.

Coordinator
DANMARKS TEKNISKE UNIVERSITET 

Organization address
address: ANKER ENGELUNDSVEJ 1 BYGNING 101 A
city: KGS LYNGBY
postcode: 2800
website: www.dtu.dk

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 Denmark [DK]
 Total cost 200˙194 €
 EC max contribution 200˙194 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DANMARKS TEKNISKE UNIVERSITET DK (KGS LYNGBY) coordinator 200˙194.00

Map

 Project objective

Market player portfolio optimization has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participant including generation and retail companies, transmission network providers, and market managers. Development of the innovative methodology for the strategic market behaviour is highly required by all electricity market parts under permanently changing market conditions. For example, generating companies acting on the market compete with each other in serving the consumers' demand and have the opportunity to optimize the use of their production portfolio by pricing and bidding their available production capacity into the market. On the other hand, demand-side participants look for feasible options to avoid the high electricity market prices during peak hours. Production levels and price forecasts are of great importance for system operators, who are responsible for keeping the grid in balance. Environmental challenges bring new requirements for market parts acting in European electricity markets. The European Strategy 2020 aims to decline global greenhouse gas emissions in most industrialized European countries. Electric energy systems are currently functioning with an increasing portion of the renewable energy productions (e.g. wind, solar based units) whose output depends on stochastic phenomena and contribute to uncertainty in electrical energy systems. The novel methodology is developed for both supply and demand side market players acting in multiple electricity markets of different time scales to have an opportunity to optimize their portfolio by bidding or hedging against market volatility in order to get the highest possible profit or the lowest cost under stochastic dynamic market environment. The project results in the implementation of the operational tool for energy systems incorporating mainly stochastic renewable production.

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

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lastchecktime (2025-01-18 5:47:23) correctly updated