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Article
Publication date: 1 October 2019

Kay Rogage, Adrian Clear, Zaid Alwan, Tom Lawrence and Graham Kelly

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…

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Abstract

Purpose

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.

Details

International Journal of Building Pathology and Adaptation, vol. 38 no. 1
Type: Research Article
ISSN: 2398-4708

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Article
Publication date: 9 April 2018

Kay Rogage

This paper aims to evaluate a virtual training environment for testing UK gas pipeline emergency response plans.

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Abstract

Purpose

This paper aims to evaluate a virtual training environment for testing UK gas pipeline emergency response plans.

Design/methodology/approach

Interviews, observations and desk research were used to identify current methods for testing plans. A virtual training environment was developed and evaluated with industry experts by using participatory design techniques. Key themes relating to both the current methods for testing plans and for a virtual training environment were identified using thematic analysis.

Findings

Improved training performance, remote participation and evidence of decision testing are benefits a virtual training environment can bring to current practice. It is suggested that a virtual training environment can enhance, rather than replace, the current process of testing emergency response plans.

Research limitations/implications

Analysis of the virtual training environment being used to test plans in a live context would give further ecological validity to the findings. A study of the prototype used to test plans for incidents involving sectors outside the gas industry would further validate the findings.

Originality/value

The application of a virtual training environment to facilitate testing plans and the decision-making processes for major incidents involving high-pressure gas pipelines and storage sites is yet to be documented. This paper contributes to the literature by documenting the decision-making process and evaluation of a virtual training environment for testing plans in this context.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 9 no. 2
Type: Research Article
ISSN: 1759-5908

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