Bioenergies usages in electricity generation utility means through a modelling approach: an application to the French case

Autor: Le Cadre, Elodie, Lantz, Frederic, Farnoosh, Arash
Přispěvatelé: IFP Energies nouvelles (IFPEN), EconomiX, Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Popis: The introduction of renewable energies target and CO2 emissions trading systems make the investment decision more difficult and add an additional flow of expenditure for electricity producers. This challenge represents a double advantage for biomass, which is a renewable alternative to fossil fuels, whose use in thermal coal can now reduce emissions of greenhouse gases. Whereas renewable energy sources (RES-E) are now supported by various economic tools such as feed-in tariffs and call for tender, the use of biomass is also enhanced by the CO2 emission price. However, the price evolution of emission allowance is uncertain. Taking into account these incentives, the scope of this work is to study the penetration of green electricity production from biomass and its impacts on the future electricity generation mix for France incorporating different scenarios of emission allowance prices. While the use of the power plant is organized according to their growing running costs in the short-term approach, in the long- term approach capacity expansion planning should be determined by using several optimization methods. So, we develop a model based on a linear dynamic programming approach for supporting the electricity generation management in which renewable energies, climate and energy policies are modeled. We apply the model to the French power market under consideration of the neighboring countries. We present the results of the initialization and the electricity price and production tests. Then the expected demands of fuel over 2020 are presented for dierent CO2 price
Databáze: OpenAIRE