2020
DOI: 10.1007/978-3-030-48279-4_118
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Energy Equalization and the Case of the “nZEB Hotels”

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Cited by 3 publications
(2 citation statements)
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“…A house-city-landscape system is made by the formal unity and coexistence of modes of dwelling, the interaction of the latter with the urban evolution and the rules that make a settled community efficient. Accordingly, several measures concern building and energy retrofitting [29,30], as well as the enhancement of "public beauty" [31,32] in the prospect of both the urban community's identity strengthening and social-territorial inclusion, with specific attention to the marginal inner areas and the system of the smaller ancient villages [33].…”
Section: The House-city-landscape System From a Green Perspectivementioning
confidence: 99%
“…A house-city-landscape system is made by the formal unity and coexistence of modes of dwelling, the interaction of the latter with the urban evolution and the rules that make a settled community efficient. Accordingly, several measures concern building and energy retrofitting [29,30], as well as the enhancement of "public beauty" [31,32] in the prospect of both the urban community's identity strengthening and social-territorial inclusion, with specific attention to the marginal inner areas and the system of the smaller ancient villages [33].…”
Section: The House-city-landscape System From a Green Perspectivementioning
confidence: 99%
“…The foresting of strategies and actions to make urban environments and buildings more sustainable, both in the private and public sectors, is a cornerstone of the European Union's long-term vision for a climate-neutral economy. Economic and financial feasibility analysis of energy efficiency measures on the building, district and city scale have been widely applied to the evaluation of energy retrofit projects for near-zero energy buildings (NZEB) and various types of existing buildings [8][9][10][11], as well as for the definition of best urban energy scenarios [12,13], also in the presence of public incentives and supporting public decisions with multi-criteria models [14,15].…”
Section: Introductionmentioning
confidence: 99%