The post COVID-19 green recovery in practice: Assessing the profitability of a policy proposal on residential photovoltaic plants.

COVID-19 Economic analysis Photovoltaic Policy proposal Self-consumption

Journal

Energy policy
ISSN: 0301-4215
Titre abrégé: Energy Policy
Pays: England
ID NLM: 9876005

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 16 06 2020
revised: 07 09 2020
accepted: 10 09 2020
entrez: 29 9 2020
pubmed: 30 9 2020
medline: 30 9 2020
Statut: ppublish

Résumé

The development of photovoltaic (PV) energy has been very significant in the last years, thanks to cost reductions brought about by policy actions favouring the transition from a fossil to a green society. As this transition is likely to stretch over the long term, policy support must be programmed accordingly. In light of the human and economic shock effected by COVID-19, the Italian government has offered a tax deduction of 110% over 5 years for the realization of new PV residential plants. We propose to integrate this tool with the application of a bonus for energy produced and self-consumed, in order to support the development of decentralized systems. In this paper, we provide an economic assessment of a 3 kW plant in the context of several policy scenarios. The results underline the great opportunity for consumers to tackle climate change whilst obtaining relevant economic profits. The study can be replicated on a global scale.

Identifiants

pubmed: 32989340
doi: 10.1016/j.enpol.2020.111910
pii: S0301-4215(20)30621-2
pmc: PMC7511198
doi:

Types de publication

Journal Article

Langues

eng

Pagination

111910

Informations de copyright

© 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

Harv Bus Rev. 1997 Nov-Dec;75(6):66-79
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Sci Total Environ. 2020 Oct 1;737:139806
pubmed: 32492608
Environ Syst Decis. 2020 May 30;:1-22
pubmed: 32837820

Auteurs

Idiano D'Adamo (I)

Department of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy.

Massimo Gastaldi (M)

Department of Industrial Engineering, Information and Economics, University of L'Aquila, Via G. Gronchi 18, 67100, L'Aquila, Italy.

Piergiuseppe Morone (P)

Department of Law and Economics, Unitelma Sapienza - University of Rome, Viale Regina Elena 295, 00161, Roma, Italy.

Classifications MeSH