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Ahmad Shazali, A S and Tahar, K N (2019) Virtual 3D model of Canseleri building via close-range photogrammetry implementation. International Journal of Building Pathology and Adaptation, 38(01), 217–27.

Amadi, A and Higham, A P (2019) A cost trajectory to environmentally adaptive building construction in wet humid settings. International Journal of Building Pathology and Adaptation, 38(01), 68–88.

Ashdown, M M, Crawley, J, Biddulph, P, Wingfield, J, Lowe, R and Elwell, C A (2019) Characterising the airtightness of dwellings. International Journal of Building Pathology and Adaptation, 38(01), 89–106.

Crawley, J, Biddulph, P, Wingfield, J, Ashdown, M, Lowe, R and Elwell, C (2019) Inferring the as-built air permeability of new UK dwellings. International Journal of Building Pathology and Adaptation, 38(01), 3–19.

Djebbar, K E, Salem, S and Mokhtari, A (2019) Assessment of energy performance using bottom-up method. International Journal of Building Pathology and Adaptation, 38(01), 192–216.

Erkoreka, A, Flores-Abascal, I, Escudero, C, Martin, K, Millan, J A and Sala, J M (2019) Flat roof hygrothermal performance testing and evaluation. International Journal of Building Pathology and Adaptation, 38(01), 148–75.

Flood, C and Scott, L (2019) Thermal analysis and post construction verification. International Journal of Building Pathology and Adaptation, 38(01), 51–67.

Gupta, R, Gregg, M and Cherian, R (2019) Developing a new framework to bring consistency and flexibility in evaluating actual building performance. International Journal of Building Pathology and Adaptation, 38(01), 228–55.

Hamidane, H, Ababneh, A, Messabhia, A and Xi, Y (2019) Modeling of chloride penetration in concrete structures under freeze-thaw cycles. International Journal of Building Pathology and Adaptation, 38(01), 127–47.

Ibraheem, Y, Piroozfar, P A, Farr, E R and Ravenscroft, N (2019) Methodological evaluation of Integrated Façade Systems. International Journal of Building Pathology and Adaptation, 38(01), 107–26.

Li, M, Allinson, D and Lomas, K (2019) Estimation of building heat transfer coefficients from in-use data. International Journal of Building Pathology and Adaptation, 38(01), 38–50.

O’Connell, S, Reynders, G, Seri, F, Sterling, R and Keane, M M (2019) A standardised flexibility assessment methodology for demand response. International Journal of Building Pathology and Adaptation, 38(01), 20–37.

Rogage, K, Clear, A, Alwan, Z, Lawrence, T and Kelly, G (2019) Assessing building performance in residential buildings using BIM and sensor data. International Journal of Building Pathology and Adaptation, 38(01), 176–91.

  • Type: Journal Article
  • Keywords: Smart buildings; Building performance; BIM for facilities Management; Sensor data;
  • ISBN/ISSN: 2398-4708
  • URL: https://doi.org/10.1108/IJBPA-01-2019-0012
  • Abstract:
    Buildings and their use is a complex process from design to occupation. Buildings produce huge volumes of data such as building information modelling (BIM), sensor (e.g. from building management systems), occupant and building maintenance data. These data can be spread across multiple disconnected systems in numerous formats, making their combined analysis difficult. The purpose of this paper is to bring these sources of data together, to provide a more complete account of a building and, consequently, a more comprehensive basis for understanding and managing its performance. Design/methodology/approach Building data from a sample of newly constructed housing units were analysed, several properties were identified for the study and sensors deployed. A sensor agnostic platform for visualising real-time building performance data was developed. Findings Data sources from both sensor data and qualitative questionnaire were analysed and a matrix of elements affecting building performance in areas such as energy use, comfort use, integration with technology was presented. In addition, a prototype sensor visualisation platform was designed to connect in-use performance data to BIM. Originality/value This work presents initial findings from a post occupancy evaluation utilising sensor data. The work attempts to address the issues of BIM in-use scenarios for housing sector. A prototype was developed which can be fully developed and replicated to wider housing projects. The findings can better address how indoor thermal comfort parameters can be used to improve housing stock and even address elements such as machine learning for better buildings.