The development of robust methods of post occupancy evaluation

Turpin-Brooks, Sue; Viccars, G.

doi:10.1108/02632770610665775

Cited by 100 publications

(84 citation statements)

References 21 publications

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“…Hence, the method to be undertaken in a POE is usually defined by the objectives being pursued and the areas of interest to the stakeholder. Seeing as POE concerns the analysis of individual buildings, the methods vary in scale, type, level of interactivity and suitability for specific projects [18]. As a consequence, a vast number of POE methods and techniques are available worldwide, allowing for an array of different evaluations to be performed in numerous types of buildings.…”

Section: Post-occupancy Evaluationmentioning

confidence: 99%

Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap

Cripps²,

et al. 2012

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With the increasing demand for more energy efficient buildings, the construction industry is faced with the challenge to ensure that the energy performance predicted during the design stage is achieved once a building is in use. There is, however, significant evidence to suggest that buildings are not performing as well as expected and initiatives such as PROBE and CarbonBuzz aim to illustrate the extent of this so called 'performance gap'. This paper discusses the underlying causes of discrepancies between energy modelling predictions and in-use performance of occupied buildings (after the twelve month liability period). Many of the causal factors relate to the use of unrealistic input parameters regarding occupancy behaviour and facilities management in building energy models. In turn, this is associated with the lack of feedback to designers once a building has been constructed and occupied.The paper aims to demonstrate how knowledge acquired from Post-Occupancy Evaluation (POE) can be used to produce more accurate energy performance models. A case study focused specifically on lighting, small power and catering equipment in a high density office building is analysed and presented. Results show that by combining monitoring data with predictive energy modelling, it was possible to increase the accuracy of the model to within 3% of actual electricity consumption values. Future work will seek to use detailed POE data to develop a set of evidence based benchmarks for energy consumption in office buildings. It is envisioned that these benchmarks will inform designers on the impact of occupancy and management on the actual energy consumption of buildings. Moreover, it should enable the use of more realistic input parameters in energy models, bringing the predicted figures closer to reality.

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Section: Post-occupancy Evaluationmentioning

confidence: 99%

Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap

Cripps²,

et al. 2012

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“…Any given method generally can be carried out in three levels of effort, namely, indicative, investigative and diagnostic as shown in Table 2 [29]. The choice of level depends on the required outcome and availability of resources and access to information.…”

Section: The Poe Techniquementioning

confidence: 99%

POE Framework for Assessing User Connectivity of Intelligent Buildings

Das¹

2012

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“…The first option is to adopt the use of an existing model which has been established and used previously. Secondly, as Turpin-Brooks and Viccars (2006) suggested, a bespoke approach could be considered using a range of supporting data gathering techniques. In this context the term 'bespoke' is taken to mean tailor-made for a specific instance.…”

Section: Established Vs Bespoke Methodsmentioning

confidence: 99%

Prevalence of POE in UK higher education institutions

2015

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Purpose: To identify the extent to which POE is understood and applied within higher education institutions across the UK and to identify users' perceptions of its efficacy. Design/Methodology: A mixed methodology was applied to this research. Part one consisted of an online survey intended to generate an overview of the extent of POE use across the sector. The second phase, intended to develop greater insight and understanding of users' perceptions of POE, relied upon in-depth interviews with a smaller sample drawn those who had completed the survey in part one. Findings: Differing models POE are used within higher education institutions with varying degrees of complexity. Models exist that are based on standard structures and templates, whilst entirely bespoke options have been developed by some institutions. The work found that there is a clear preference for applying bespoke methods rather than standardised ones. Research limitations/implications:The research is based on a sample of Directors of Estates from UK Universities. The conclusions relate specifically to that sector and context. The extent for broader generalisation is limited by the research sample.Practical implications: The work shows that POE is understood to have differing purpose and effectiveness in individual Universities. This leads to the conclusion that more coherent and consistent understanding should be promoted within the sector. Social Implications: The work has implications for the effective management of university buildings to support user satisfaction. Originality/Value: This paper indicates that there is prevalence of applying POE processes in higher education institutions and that specific models have been developed for the sector. However, the extent to which the process is valued and understood is highly variable.

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The development of robust methods of post occupancy evaluation

Cited by 100 publications

References 21 publications

Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap

Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap

POE Framework for Assessing User Connectivity of Intelligent Buildings

Prevalence of POE in UK higher education institutions

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