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An Evaluation Methodology for the Feasibility Analysis of Energy Retrofit Investments

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Computational Science and Its Applications – ICCSA 2022 Workshops (ICCSA 2022)

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Abstract

Since the current need to renovate the existing residential asset, especially in Italy numerous fiscal measures have been promoted in order to encourage the buildings energy improvement initiatives. Among the incentive policies for the energy requalification, the Italian “Relaunch” Law Decree No. 34/2020 has introduced a fiscal deduction equal to 110% (so-called “Superbonus”) that constitutes a relevant financing measure able to support property owners in activating energy retrofit operations. With reference to the issue outlined, the present research aims to develop a methodology for the economic benefits evaluation, by considering the convenience of the subjects involved associated to the energy upgrade interventions using the Superbonus mechanism. The methodology provides for five phases and it is applied with reference to the residential sector and to the three main urban areas into which the Italian city of Bari is divided (central, semicentral and peripheral).

For each urban area, the market value differential between the post-energy intervention situation and ante-energy intervention one is determined, by considering the case “with” the Superbonus incentive and that “without” it. The methodology proposed could represent a valid tool to support the private operators in the determination of the urban areas or, in a more general terms, the cities for which a higher convenience in energy efficiency investments is detected.

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Correspondence to Endriol Doko .

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Tajani, F., Morano, P., Di Liddo, F., Doko, E., Torre, C.M. (2022). An Evaluation Methodology for the Feasibility Analysis of Energy Retrofit Investments. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13381. Springer, Cham. https://doi.org/10.1007/978-3-031-10548-7_2

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  • DOI: https://doi.org/10.1007/978-3-031-10548-7_2

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