BUILDING STOCK CATEGORIZATION FOR ENERGY RETROFITTING OF HISTORIC DISTRICTS BASED ON A 3D CITY MODEL

Abstract

Improving energy efficiency of buildings is one of the key areas for reducing emissions of pollutants and improving global sustainability. Energy rehabilitation of existing buildings is currently one of the key challenges for the revitalization of the construction sector in Europe. Addressing such rehabilitation at urban scale versus individual rehabilitation of buildings has important benefits. However it makes the task much more complex, for which the use of tools to facilitate the identification of the best strategies for rehabilitation based on evidences is necessary. When we talk about historic districts it is necessary to address the problem from specific approach taking into account the peculiarities of the buildings contained therein. In this context the solution presented in this paper proposes the identification of the main typologies of buildings in the district and the selection of a representative building of each typology to simplify data collection process and use the data from the representative buildings as a basis for total calculations taking into account the representativeness of each typology in the district. The building stock categorization process is detailed step by step, and its implementation in a software tool that automates some of the activities of each step. Validation is carried out through the implementation in the historic district of Santiago de Compostela. Key Words: energy efficiency, historic districts, 3D cities, building typology, categorization tool