Dataset for Assessing the Economic Performance of a Residential PV Plant: The Analysis of a New Policy Proposal

Idiano D’Adamo, Massimo Gastaldi and Piergiuseppe Morone
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Idiano D’Adamo: Department of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto 25, 00185 Rome, Italy
Massimo Gastaldi: Department of Industrial Engineering, Information and Economics, University of L’Aquila, Via G. Gronchi 18, 67100 L’Aquila, Italy
Piergiuseppe Morone: Department of Law and Economics, Unitelma Sapienza–University of Rome, Viale Regina Elena 295, 00161 Roma, Italy

Data, 2020, vol. 5, issue 4, 1-5

Abstract: This data article aims at providing a data description about the manuscript entitled “The post COVID-19 green recovery in practice: assessing the profitability of a policy proposal on residential photovoltaic plants”. The definition of a business plan is a complex decision because the choice of the input data significantly influences the economic assessment of a project. An Excel file is used to construct an economic model based on the Discounted Cash Flow (DCF) methodology using Net Present Value (NPV) as an indicator. The choice of input data is defined by literature analysis, and policy proposals are identified by the Revival Decree adopted by Italian Government to contrast human and economic shock effected by COVID-19. The aggregation of these data enabled us to obtain both baseline and alternative scenarios to define if the realization of a residential photovoltaic (PV) plant is economically feasible. Similar data can be obtained for other countries according to the policy actions adopted, and this work can be easily replicated in different geographical contexts and considering varying categories of stakeholders (e.g., consumers, which are called upon to implement a green transition).

Keywords: business plan; COVID-19; economic analysis; photovoltaic; policy proposal; self-consumption (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
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