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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

Views

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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.

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

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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