Open database system for the collection, management, and strategic analysis of heterogeneous data sets of large building portfolios

RESEARCH APPROACH The Paris Climate Agreement of December 12, 2015 is an important milestone in the fight against global warming. With its Climate Protection Plan 2050, the German government has set itself the goal of becoming largely greenhouse gas neutral by 2050. Currently, around a quarter of all CO2 emissions are attributable to the building sector. The potential for savings is therefore huge. To meet the targets, greenhouse gas emissions in the building sector must fall by 66 to 67 percent by 2030 compared with 1990 levels [2]. Managers of large building portfolios can make a significant contribution to achieving the targets through smart retrofit management. Large amounts of data, from various sources, with often insufficient building information, pose a major challenge to portfolio managers. In this context, the research project "OfDataLyse" aims to produce a transferable methodology for energy-related building portfolio management, using the example of the City of Munich. In the process, an intelligent database system will be developed that enables the collection, management, and analysis of complex building data. OBJECTIVES In the sense of strategic portfolio management, the aim is to use the existing data of the city of Munich to obtain a comprehensive assessment of the energy status of the buildings and to identify the renovation measures and their effects. METHOD The data stock of the state capital Munich serves as a basis. First, all relevant parameters are collected in a database. The master data are supplemented with further parameters, for example with data from geoinformation systems. Statistical values also contribute to the expansion and closing of data gaps. Regression analyses will be used to make data correlations recognizable (Figure 2). The knowledge gained should help to identify relevant building parameters. Depending on the data basis, the renovation and savings potentials of the buildings are determined using appropriate calculation algorithms. PROSPECTS The method will be applied and tested on the building stock of the city of Munich. References [1] Klimaschutzziel und -strategie München 2050 - Endbericht; Juli 2017; Öko-Institut e.V. [2] https://www.bundesregierung.de/breg-de/themen/klimaschutz/klimafreundlich-wohnen-1672900 (abgerufen am 23.04.2021)     «

RESEARCH APPROACH The Paris Climate Agreement of December 12, 2015 is an important milestone in the fight against global warming. With its Climate Protection Plan 2050, the German government has set itself the goal of becoming largely greenhouse gas neutral by 2050. Currently, around a quarter of all CO2 emissions are attributable to the building sector. The potential for savings is therefore huge. To meet the targets, greenhouse gas emissions in the building sector must fall by 66 to 6...     »