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This study develops a framework to identify and analyse the energy savings potential of an existing building stock category. The methodology consists of six basic steps: (1) a method for obtaining reference buildings, (2) dynamic archetype model simulations, (3) an energy consumption baseline estimation, (4) energy retrofit measures selection and a cost optimal pathway analysis, (5) developing energy saving scenarios and (6) estimating building stock energy savings potential. The saving scenario results highlighted that there are significant opportunities for energy efficiency improvements in…mehr

Produktbeschreibung
This study develops a framework to identify and analyse the energy savings potential of an existing building stock category. The methodology consists of six basic steps: (1) a method for obtaining reference buildings, (2) dynamic archetype model simulations, (3) an energy consumption baseline estimation, (4) energy retrofit measures selection and a cost optimal pathway analysis, (5) developing energy saving scenarios and (6) estimating building stock energy savings potential. The saving scenario results highlighted that there are significant opportunities for energy efficiency improvements in the existing high-rise office building stock of the city. Using current technologies, cost effective energy savings of up to 24% would be possible in the high-rise office building stock by 2036. Regardless costs, by the year 2036, deeper retrofit packages could unlock savings up to 28%. Overall the disaggregated scenario projections emphasized the significance of dealing with the existing high-rise office building stock but also highlighted that to shorten the current building stock consumption over the next 20 years the policy makers will have to pay close attention to the upcoming buildings.
Autorenporträt
Tatiana Paula Alves - Architect, Phd Energy and Sustainability, Professor (Assistant), Centro Universitário UNA, Belo Horizonte, Minas Gerais, Brazil.