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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.

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

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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