Abstract
Engineering-based energy performance assessments, e.g., required for the award of energy certificates, evoke significant effort and lack accuracy. This paper introduces the idea of building energy performance assessment on Big Data Analytics and information on buildings and occupants while respecting people’s privacy. Using a case study, we investigate whether the proposed method can outperform engineering-based methods in the field of residential buildings in terms of cost and accuracy.
References
Ahmad MW, Mourshed M, Mundow D, Sisinni M, Rezgui R (2016) Building energy metering and environmental monitoring. Energy Build 120:85–102
Hevner AR, March ST, Park J, Ram S (2004) Design science in information systems research. MISQ 28(1):75–105
Juodis E, Jaraminiene E, Dudkiewicz E (2009) Inherent variability of heat consumption in residential buildings. Energy Build 41(11):1188–1194
Maier T, Krzaczek M, Tejchman J (2009) Comparison of physical performances of the ventilation systems in low-energy residential houses. Energy Build 41(3):337–353
Schoer K, Buyny S, Flachmann C, Mayer H (2007) Nutzung von Umweltressourcen durch die Konsumaktivitäten privater Haushalte. Wirtschaft und Statistik 1:97–112
Sein MK, Henfridsson O, Purao S, Rossi M, Lindgren R (2011) Action design research. MISQ 35(1):37–56
Tronchin L, Fabbri K (2008) Energy performance building evaluation in Mediterranean countries. Energy Build 40(7):1176–1187
Acknowledgements
Grateful acknowledgement is due to the Bavarian Ministry of Economic Affairs and Media, Energy and Technology for their support of the project BigDAPESI (IUK-1606-0002, IUK491/001) making this paper possible.
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Fridgen, G., Guggenmos, F., Regal, C. et al. Poster abstract: Big Data beats engineering in residential energy performance assessment—a case study. Comput Sci Res Dev 33, 235–236 (2018). https://doi.org/10.1007/s00450-017-0365-4
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DOI: https://doi.org/10.1007/s00450-017-0365-4