Construction of regional building typologies with a material catalog

Abstract

Purpose The purpose of this paper is to develop a new building typology for: the estimation of heat demand of urban agglomerations; and the assessment of the environmental impact linked to urban re-development policies. Design/methodology/approach In order to: capture regional differences of urban areas; and describe individual building components of neighbourhoods, the author proposes the construction of a new building typology based upon a regional material catalog (Klauß et al. 2009a). Findings The main findings of this analysis are primarily on method. The author presents a method to estimate the building shell from available information on the digital cadastre and the first attempt to link material databases with a ranking algorithm. The analysis application presented in this paper shows that the embodied energy on insulation materials and the corresponding energetic payback time depends on the “real” building shell, making it important to accurately compute this value. Practical implications Results from this analysis present an heat demand urban model able to capture: regional differences, thanks to the use of the regional material catalog, local characteristics of the building stock, thanks to the detailed information of the digital cadastre, and ability to link building stock models with rich Live Cycle Inventory (LCI) databases for the explicit consideration of the embodied energy of retrofit measures. Further applications of the developed method could be used to assess new urban development plans of the city as well as financial incentives packages for building retrofits. Originality/value This analysis shows the first step towards the development of a new building typology constructed upon a regional material catalog. This innovation allows taking regional differences into account. Because the author uses a detailed catalog of building components, an accounting of embodied energy by linking data of a LCI database is possible. In this paper the author presents an application of the enriched data set, the presented example shows the needed embodied energy by adding an extra layer to the predefined building components of selected buildings of the digital cadastre.