Abstract
This paper illustrates the results of a research project focused on the development of a Web 2.0 system designed to compute and visualize building energy performance large-scale maps. The workflow and the framework include: emerging platform-independent technologies such as WebGL for data presentation, an extended version of the EU-Founded project TABULA/EPISCOPE for building energy parameters estimation and a data model based on CityGML OGC standard. The proposed platform will allow citizens, public administrations and government agencies to perform city-wide analyses on the energy performance of building stocks. To evaluate the accuracy of the model, the simulation results were compared to real data of energy performance of the energy certificates available and the model uncertainties were analyzed.
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Acknowledgements
The project SUNSHINE has received funding from the EC, and it has been co-funded by the CIP-Pilot actions as part of the Competitiveness and innovation Framework Programme. The authors are solely responsible of this work, which does not represent the opinion of the EC. The EC is not responsible for any use that might be made of information contained in this paper.
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Prandi, F., Di Staso, U., Berti, M., Giovannini, L., Cipriano, P., De Amicis, R. (2016). Hybrid Approach for Large-scale Energy Performance Estimation Based on 3D City Model Data and Typological Classification. In: Gartner, G., Jobst, M., Huang, H. (eds) Progress in Cartography. Lecture Notes in Geoinformation and Cartography(). Springer, Cham. https://doi.org/10.1007/978-3-319-19602-2_10
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DOI: https://doi.org/10.1007/978-3-319-19602-2_10
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