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

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          Abstract

          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.

          Highlights

          • Tax deduction equal to 110% over a period of 5 years is investigated.

          • A bonus for the energy self-consumed is proposed and analyzed.

          • The adoption of the proposed policies can influence the economic results.

          • The profitability of PV plants depends on the share of self-consumed energy.

          • PV plants generate economic returns with low risk.

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          Most cited references59

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          Sustainability and resilience for transformation in the urban century

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            Six research priorities for cities and climate change

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              Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic

              The increasingly global context in which businesses operate supports innovation, but also increases uncertainty around supply chain disruptions. The COVID-19 pandemic clearly shows the lack of resilience in supply chains and the impact that disruptions may have on a global network scale as individual supply chain connections and nodes fail. This cascading failure underscores the need for the network analysis and advanced resilience analytics we find lacking in the existing supply chain literature. This paper reviews supply chain resilience literature that focuses on resilience modeling and quantification and connects the supply chain to other networks, including transportation and command and control. We observe a fast increase in the number of relevant papers (only 47 relevant papers were published in 2007–2016, while 94 were found in 2017–2019). We observe that specific disruption scenarios are used to develop and test supply chain resilience models, while uncertainty associated with threats including consideration of “unknown unknowns” remains rare. Publications that utilize more advanced models often focus just on supply chain networks and exclude associated system components such as transportation and command and control (C2) networks, which creates a gap in the research that needs to be bridged. The common goal of supply chain modeling is to optimize efficiency and reduce costs, but trade-offs of efficiency and leanness with flexibility and resilience may not be fully addressed. We conclude that a comprehensive approach to network resilience quantification encompassing the supply chain in the context of other social and physical networks is needed to address the emerging challenges in the field. The connection to systemic threats, such as disease pandemics, is specifically discussed. Electronic supplementary material The online version of this article (10.1007/s10669-020-09777-w) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Energy Policy
                Energy Policy
                Energy Policy
                Elsevier Ltd.
                0301-4215
                0301-4215
                23 September 2020
                December 2020
                23 September 2020
                : 147
                : 111910
                Affiliations
                [a ]Department of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy
                [b ]Department of Industrial Engineering, Information and Economics, University of L'Aquila, Via G. Gronchi 18, 67100, L'Aquila, Italy
                [c ]Department of Law and Economics, Unitelma Sapienza – University of Rome, Viale Regina Elena 295, 00161, Roma, Italy
                Author notes
                []Corresponding author.
                [∗∗ ]Corresponding author.
                [∗∗∗ ]Corresponding author.
                Article
                S0301-4215(20)30621-2 111910
                10.1016/j.enpol.2020.111910
                7511198
                32989340
                64a98011-0975-48bb-9d45-391063c6db1c
                © 2020 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 16 June 2020
                : 7 September 2020
                : 10 September 2020
                Categories
                Article

                Social policy & Welfare
                covid-19,economic analysis,photovoltaic,policy proposal,self-consumption
                Social policy & Welfare
                covid-19, economic analysis, photovoltaic, policy proposal, self-consumption

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