Resource: DATAMINE Collecting Data from Energy Certification to Monitor Performance Indicators for New and Existing buildings
Description
The starting point of DATAMINE was the fact that the current state of the European building stock and the on-going retrofit processes are not very well known. This information gap can be seen as a great obstacle for taking well-tailored measures to reduce the buildings’ energy consumption.
The idea of DATAMINE is to use Energy Performance (EP) Certificates as a data source for monitoring purposes. Given the great variety of buildings as well as certificate types in Europe and the very different status of national EPBD implementation efforts, a general monitoring system can only be implemented in the long run. Thus the objective of DATAMINE is to make basic experiences in data collection and analysis on a practical level and to draw conclusions for establishing harmonised monitoring systems.For this purpose Model Projects were carried out in 12 EU member states. In each Model Project data collection and monitoring using EP Certificates or energy audits were tested on a small scale. Each Model Project has an individual design, addressing different building utilisations and certification types, as well as data collection methods and monitoring targets – depending on the focus of the involved key actors. Accordingly,each Model Project considers different national certification or data collection activities.
This means that DATAMINE is a bottom-up project: There was no standardised monitoring approach to be realised during the 12 Model Projects - quite the opposite: Each model project had its own aims, data sources and solution approaches reflecting a large variety of monitoring problems. The idea of DATAMINE is to first learn from the execution of these different Model mProjects, and then to generate ideas for other, maybe similar monitoring activities in the future.
Implementation
The DATAMINE Analysis Tool was particularly well suited for the cross-country comparison. Goodexperiences were made with the simultaneous handling of many data bases of different origin. Also updating the databases (after revision by partners) and repeating certain analyses was no problem.Since the analysis tool is an Excel workbook the export of data and creation of charts was easy to handle. For large databases however the tool tended to be slow. The tool should be improved (express import without single value check) if files with more than 10.000 buildings are going to be analysed in future.
