On the architectural and energy classification of existing buildings: a case study of a district in the city of Palermo

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3 Citations (Scopus)

Abstract

Town Administrations are increasingly facing the challenge to identify smart planning actions to reduce the cities' energy demand by improving the efficiency of the urban energy systems. Buildings play an important role in this regarding both the demand and supply energy. In this scenario, the neighborhood or district scale seems to be the most appropriate to implement a multi-disciplinary approach on which smart planning relies. This paper shows the application, to a district of the city of Palermo (Sicily, Italy), of a methodology for architectural-energy classification of existing buildings. Such methodology provides, regarding the building sector, an easy tool that can support smart planning at district scale using data available to the municipalities. The work also shows a first experimental approach for the neighborhoods' characterization. The basic idea guiding this work is to identify possible features and subsequent intervention actions for energy refurbishment in neighborhoods clusters.
Original languageEnglish
Publication statusPublished - 2016

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Planning

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment

Cite this

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title = "On the architectural and energy classification of existing buildings: a case study of a district in the city of Palermo",
abstract = "Town Administrations are increasingly facing the challenge to identify smart planning actions to reduce the cities' energy demand by improving the efficiency of the urban energy systems. Buildings play an important role in this regarding both the demand and supply energy. In this scenario, the neighborhood or district scale seems to be the most appropriate to implement a multi-disciplinary approach on which smart planning relies. This paper shows the application, to a district of the city of Palermo (Sicily, Italy), of a methodology for architectural-energy classification of existing buildings. Such methodology provides, regarding the building sector, an easy tool that can support smart planning at district scale using data available to the municipalities. The work also shows a first experimental approach for the neighborhoods' characterization. The basic idea guiding this work is to identify possible features and subsequent intervention actions for energy refurbishment in neighborhoods clusters.",
author = "{Riva Sanseverino}, Eleonora and {La Gennusa}, Maria and Patrizia Ferrante and Giorgia Peri and Valentina Vaccaro",
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T1 - On the architectural and energy classification of existing buildings: a case study of a district in the city of Palermo

AU - Riva Sanseverino, Eleonora

AU - La Gennusa, Maria

AU - Ferrante, Patrizia

AU - Peri, Giorgia

AU - Vaccaro, Valentina

PY - 2016

Y1 - 2016

N2 - Town Administrations are increasingly facing the challenge to identify smart planning actions to reduce the cities' energy demand by improving the efficiency of the urban energy systems. Buildings play an important role in this regarding both the demand and supply energy. In this scenario, the neighborhood or district scale seems to be the most appropriate to implement a multi-disciplinary approach on which smart planning relies. This paper shows the application, to a district of the city of Palermo (Sicily, Italy), of a methodology for architectural-energy classification of existing buildings. Such methodology provides, regarding the building sector, an easy tool that can support smart planning at district scale using data available to the municipalities. The work also shows a first experimental approach for the neighborhoods' characterization. The basic idea guiding this work is to identify possible features and subsequent intervention actions for energy refurbishment in neighborhoods clusters.

AB - Town Administrations are increasingly facing the challenge to identify smart planning actions to reduce the cities' energy demand by improving the efficiency of the urban energy systems. Buildings play an important role in this regarding both the demand and supply energy. In this scenario, the neighborhood or district scale seems to be the most appropriate to implement a multi-disciplinary approach on which smart planning relies. This paper shows the application, to a district of the city of Palermo (Sicily, Italy), of a methodology for architectural-energy classification of existing buildings. Such methodology provides, regarding the building sector, an easy tool that can support smart planning at district scale using data available to the municipalities. The work also shows a first experimental approach for the neighborhoods' characterization. The basic idea guiding this work is to identify possible features and subsequent intervention actions for energy refurbishment in neighborhoods clusters.

UR - http://hdl.handle.net/10447/193142

UR - https://ieeexplore.ieee.org/document/7555412

M3 - Paper

ER -