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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

10. Structured Building Data Management: Ontologies, Queries, and Platforms

verfasst von : Ardeshir Mahdavi, Mahnameh Taheri, Matthias Schuss, Farhang Tahmasebi, Stefan Glawischnig

Erschienen in: Exploring Occupant Behavior in Buildings

Verlag: Springer International Publishing

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Abstract

Building data monitoring, in general, and occupancy-related data collection in particular have the potential to provide deep performance feedback for: (1) operational optimization of existing facilities and (2) improving future designs. For instance, building monitoring can support energy and performance contracting, preventive building maintenance, smart load balancing, and model-predictive building systems control. Nevertheless, currently this potential is not sufficiently realized. To address a major gap in the current practice, the present chapter first introduces an ontology for the representation and incorporation of various kinds of building monitoring data in a number of applications such as building performance simulation tools and building automation systems. Subsequently, common data processing requirements are addressed and a number of typical queries are exemplified that building monitoring data repositories must support. Finally, data repository specifications and implementations for structured collection, storage, processing, and multi-user exchange of monitored data are described.

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Literatur
ASHRAE (2013) ASHRAE 90.1-2013: Energy standard for buildings except low-rise residential buildings. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta
Böhms M, Rieswijk T (2015) Linked energy data: enabling monitoring and decision support for improved energy management. In: IEEE International Conference on Engineering, Technology and Innovation/International Technology Management Conference (ICE/ITMC), Belfast, Northern Ireland, pp 22–24 June 2015
Duarte C, Wymelenberg KVD, Rieger C (2013) Revealing occupancy patterns in an office building through the use of occupancy sensor data. Energy Build 67:587–595CrossRef
Gilani S, O’Brien W (2016) Review of current methods, opportunities, and challenges for in-situ monitoring to support occupant modelling in office spaces. J Build Perform Simul. doi:10.​1080/​19401493.​2016.​1255258
Glawischnig S (2016) An urban monitoring system for large-scale building energy assessment. Dissertation, TU Wien
Glawischnig S, Hofstätter H, Mahdavi A (2014) Applications of web-technologies in building information systems: the case of the Monitoring System Toolkit (MOST). In: Proceedings of 2nd ICAUD, Tirana, 2014
Guerra-Santin O, Tweed CA (2015) In-use monitoring of buildings: an overview of data collection methods. Energy Build 93:189–207CrossRef
Hecht R, Jablonski S (2011) NoSQL evaluation: a use case oriented survey. In: Proceedings of International Conference on Cloud and Service Computing, IEEE, Hong Kong, pp 336–341
Leavitt N (2010) Will NoSQL databases live up to their promise? IEEE Comput 43(2):12–14CrossRef
Mahdavi A (2011a) People in building performance simulation. In: Hensen J, Lamberts R (eds) Building performance simulation for design and operation, 1st edn. Taylor & Francis Group, New York, pp 56–83
Mahdavi A (2011b) The human dimension of building performance simulation. In: Proceedings of the 12th International IBPSA Conference, Sydney, 14–16 November 2011, pp K16–33
Mahdavi A, Bachinger J, Suter G (2005) Toward a unified information space for the specification of building performance simulation results. In: Proceedings of the 9th International IBPSA Conference, Montreal, 15–18 August 2005, pp 671–676
Mahdavi A, Tahmasebi F (2015) Predicting people’s presence in buildings: an empirically based model performance analysis. Energy Build 86:349–355CrossRef
Mahdavi A, Glawischnig S, Ghiassi N (2016a) Urban energy computing: a multi-layered approach. In: Proceedings of CEUR Workshop, pp 130–135
Mahdavi A, Glawischnig S, Schuss M, Tahmasebi F, Heiderer A (2016b) Structured building monitoring: ontologies and platform. In: Mahdavi A, Martens B, Scherer R (eds) eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2016. CRC Press, pp 651–658
Mahdavi A, Tahmasebi F (2016) The deployment-dependence of occupancy-related models in building performance simulation. Energy Build 117:313–320CrossRef
Page J, Robinson D, Morel N, Scartezzini JL (2008) A generalized stochastic model for the simulation of occupant presence. Energy Build 40(2):83–98CrossRef
Roda F, Musulina E (2014) An ontology-based framework to support intelligent data analysis of sensor measurements. Expert Syst Appl 41(17):7914–7926CrossRef
Schuss M, Glawischnig S, Mahdavi A (2016) A flexible and scalable approach to building monitoring and diagnostics. In: Christodoulou S, Scherer R (eds) eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2016. CRC Press, pp 235–242
Tahmasebi F, Mahdavi A (2015) The sensitivity of building performance simulation results to the choice of occupants’ presence models: a case study. J Build Perform Simul. doi:10.​1080/​19401493.​2015.​1117528
Tudorica BG, Bucur C (2011) A comparison between several NoSQL databases with comments and notes. In: Proceedings of ProEduNet 2011, Iasi, pp 1–5
Yan D, O’Brien W, Hong T, Feng X, Gunay HB, Tahmasebi F, Mahdavi A (2015) Occupant behavior modeling for building performance simulation: current state and future challenges. Energy Build 107:264–278CrossRef
Zach R, Hofstätter H, Mahdavi A (2014) A distributed and scalable approach to building monitoring. In: Mahdavi A, Martens B, Scherer R (eds) eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2014. CRC Press, pp 231–236
Zach R, Schuss M, Bräuer R, Mahdavi A (2012a) Improving building monitoring using a data pre-processing storage engine based on MySQL. In: Gudnason G, Scherer R (eds) eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2012. CRC Press, pp 151–157
Zach R, Glawischnig S, Hönisch M, Appel R, Mahdavi A (2012b) MOST: an open-source, vendor and technology independent toolkit for building monitoring, data pre-processing, and visualization. In: Gudnason G, Scherer R (eds) eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2012. CRC Press, pp 97–103
Metadaten
Titel
Structured Building Data Management: Ontologies, Queries, and Platforms
verfasst von
Ardeshir Mahdavi
Mahnameh Taheri
Matthias Schuss
Farhang Tahmasebi
Stefan Glawischnig
Copyright-Jahr
2018
Buch
Exploring Occupant Behavior in Buildings

Print ISBN: 978-3-319-61463-2

Electronic ISBN: 978-3-319-61464-9

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-61464-9_10