Large scale energy analysis and renovation strategies for social housing in the historic city of Venice

Teso, Lorenzo; Carnieletto, Laura; Sun, Kaiyu; Zhang, Wanni; Gasparella, Andrea; Romagnoni, Piercarlo; Zarrella, Angelo; Hong, Tianzhen

doi:10.1016/j.seta.2022.102041

Large scale energy analysis and renovation strategies for social housing in the historic city of Venice

Journal Article · Thu Feb 03 00:00:00 EST 2022 · Sustainable Energy Technologies and Assessments

DOI:https://doi.org/10.1016/j.seta.2022.102041· OSTI ID:1853955

Teso, Lorenzo ^[1]; Carnieletto, Laura ^[2]; Sun, Kaiyu ^[3]; Zhang, Wanni ^[3]; Gasparella, Andrea ^[1]; Romagnoni, Piercarlo ^[4]; Zarrella, Angelo ^[2]; Hong, Tianzhen ^[3]

Free Univ. of Bozen-Bolzano (Italy)
Univ. of Padova (Italy)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
IUAV Univ. of Venice, Venezia (Italy)

Social houses built after the Second World War to accommodate workers and low-income families represent one of the major energy consumers and greenhouse gas emitters in the residential sector. Plans for their renovation are underway in all European countries, and the process is more complicated for Italian cities due to the lack of space and the large number of historical buildings. This study addresses this challenge by proposing a methodology to renovate a low-income district in the city of Venice using CityBES to model and evaluate energy conservation measures. CityBES is a web-based tool that allows users to employ urban building energy modeling for large-scale energy and retrofit analyses of building stocks. In the case study conducted for Venice's Santa Marta district, due to the particular context, four common energy conservation measures covering both the building envelope and heat generation boilers have been applied. The evaluation of energy-saving performances at the district level showed that the four measures together achieved 67% energy savings, an abatement in energy cost equal to 67%, and annual carbon dioxide emissions reduction of 1.1 MtCO₂. Furthermore, the case study demonstrates a method and workflow replicable for energy retrofit analysis of building stocks in other historical districts.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1853955

Alternate ID(s):: OSTI ID: 1962151

Journal Information:: Sustainable Energy Technologies and Assessments, Journal Name: Sustainable Energy Technologies and Assessments Vol. 52; ISSN 2213-1388

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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