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Evaluation of the Administrative Phase-Out of Coal Power Plants on the Italian Electricity Market

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 04 Sep 2020 Germany Publisher:MDPI AGJournal:Energies, volume 13, page 4,596 (eissn: 1996-1073,

Authors: Michele Fiorelli; Dogan Keles; Francesco Montana; Giovanni Lorenzo Restifo; Eleonora Riva Sanseverino; Gaetano Zizzo;

doi: 10.3390/en13184596 , 10.5445/ir/1000126920

Evaluation of the Administrative Phase-Out of Coal Power Plants on the Italian Electricity Market

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Abstract

Although decarbonisation is one of the most important macro-trends of this century, electricity generation from coal power plants is still broadly common. The main goal of this study is to evaluate the impact of a premature coal power plants phase-out on the Italian day-ahead electricity market. For this purpose, two electricity price forecasts, related to different scenarios between 2019 and 2030, and two different hypotheses for the creation of electricity spot price, were compared. The results from the different scenarios show that coal power plants phase-out determines a small variation in electricity price when bid-up is not considered; instead, when operators’ bid-up is included in the study, the price variation becomes relevant.

Country

Germany

Related Organizations

University of Palermo
Italy
Karlsruhe Institute of Technology
Germany

Keywords

Technology, info:eu-repo/classification/ddc/330, 330, ddc:330, Economics, price analysis, T, decarbonisation, Italy, coal phase-out, optimization model and simulation, electricity price, generation adequacy

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average