In this work we extend the model of Roques et al. (2008) for the construction of the optimal electricity generation portfolio. In our analysis we consider an electricity producer, who can choose to invest both in renewable and conventional sources. We build portfolios based on the Net Present Value generated by the investment in a particular technology. We use Monte Carlo simulations in order to compute the NPV distributions. As an extension to Roques et al. (2008), we consider the presence of incentives for renewable technologies. We apply our model to Italian data.

(2013). The optimal generation mix for an electricity producer: the case of Italy. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2013).

The optimal generation mix for an electricity producer: the case of Italy

BONACINA, FAUSTO
2013

Abstract

In this work we extend the model of Roques et al. (2008) for the construction of the optimal electricity generation portfolio. In our analysis we consider an electricity producer, who can choose to invest both in renewable and conventional sources. We build portfolios based on the Net Present Value generated by the investment in a particular technology. We use Monte Carlo simulations in order to compute the NPV distributions. As an extension to Roques et al. (2008), we consider the presence of incentives for renewable technologies. We apply our model to Italian data.
STEFANI, SILVANA
Renewable energy, Energy policy, Portfolio optimization
SECS-S/06 - METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE
English
13-dic-2013
Scuola di Dottorato in Statistica e Matematica Applicata alla Finanza
MATEMATICA PER L'ANALISI DEI MERCATI FINANZIARI - 31R
25
2011/2012
open
(2013). The optimal generation mix for an electricity producer: the case of Italy. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2013).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/49725
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