Post-occupancy evaluation

Résumé

Post Occupancy Evaluation (POE) has its origins in Scotland and the United States and has been used in one form or another since the 1960s. Preiser and colleagues define POE as "the process of evaluating buildings in a systematic and rigorous manner after they have been built and occupied for some time". The unique aspect of Post Occupancy Evaluation is that it generates recommendations based on all stakeholder groups' experiences of subject buildings' effects on productivity and wellbeing. Purposes of POE Post Occupancy Evaluations is used to improve the ways that buildings are used to support productivity and wellbeing. Specifically it is used to:

Account for building quality
Inform planning and briefing (programming) for new buildings and alterations
Troubleshoot building/use problems (such as change management and new work styles)

The British Council for Offices (BCO) summarises that a POE provides feedback of how successful the workplace is in supporting the occ

Source officielle

https://en.wikipedia.org/wiki/Post-occupancy_evaluation

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Calibrated climate-based lighting simulation models of buildings perform an essential role in post-occupancy evaluations (POE), such as annual frequency assessments of daylighting quality and visual discomfort. However, the role of lighting analysis is temporally limited by instantaneous measurements or limited in scale by requiring constant monitoring of occupied spaces with expensive sensors. Building calibrated models is thus challenging due to limited information, short durations of access, the concurrent presence of electric lighting and daylighting, and transient usage of dynamic shades of occupied spaces. In this paper, the authors present a calibration process to build annual daylighting and electric lighting simulation models based on one-time field measurements, exemplified through a dataset of 540 individual office desks across 10 office spaces. The authors calibrated lighting models to be reliable enough for assessing the relationship of annualized climate-based daylighting metrics (CBDMs) to participants long-term perceptions of lighting quality. The proposed process to build calibrated climate-based models for POE’s based on one-time field measurements at each building is validated through comparing measured and simulated illuminance data at every work desk and results are sufficiently positive with logarithmic relative RMSE values of 4.3% and 6.8% and relative RMSE values of 25.8% and 45.5% for horizontal and vertical illuminances respectively. Vertical illuminance was found to vary more with measured data due to the uncertainty of monitor screen luminances. This paper demonstrates that measured data through onetime visits can be utilized to build reliable calibrated lighting simulation models to integrate long-term annual lighting results in post-occupancy evaluations.

2019

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Towards Subjectivity in Annual Climate-Based Daylight Metrics

Geraldine Quek Cai Ting

This paper presents a post-occupancy study of 543 participants in 10 daylit office buildings in Singapore. Calibrated daylighting and electric lighting simulation models of each building were created and verified. HDR photographs and vertical and horizontal illuminance measurements were taken at each participant’s workspace, and a survey on their long-term and instantaneous subjective evaluations of lighting were collected. For the first time, this study compares climate-based daylighting metrics (CBDM’s) to occupant’s longterm subjective impressions. The authors find that simulated mean annual horizontal illuminance correlates strongly with occupants’ satisfaction with access to daylight. 50% occupant satisfaction with daylight begins at levels as low as 80 lx, far below current lighting sufficiency standards. Vertical illuminance measures did not exhibit strong correlations with reported discomfort. These results are an initial investigation of CBDM’s use for more than lighting sufficiency and illustrate the need for further study of overlighting metrics.

2018

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In this paper, we present a post-occupancy study of 326 participants in 10 daylit office buildings in Singapore and correlate the results with climate-based daylighting metrics and electric lighting simulations using calibrated simulation models of the 10 buildings. For the first time, this study tests the climate-based daylighting metrics which are used in building design against their impact on occupant perception within buildings. We find significant correlations between climate-based daylighting metrics and reported occupant satisfaction with access to daylight, view interest, perception of ‘too low’ lighting levels and visual comfort. Overall, climate-based daylighting metrics which account for lower illuminance thresholds such as continuous daylight autonomy and useful daylight illuminance combined (100–3000 lx) correlate more strongly with subjective results than do electric lighting sufficiency metrics such as daylight autonomy at 300 and 500 lx thresholds. Simple descriptive statistical representations of annual daylight distributions, mean and median annual daylight illuminance values, outperform climate-based daylighting metrics in correlation strength and p-value. Based upon these results, new metrics are proposed for occupant satisfaction with daylight access and views. In addition, increased daylight levels are shown to decrease reporting of lighting levels being ‘often too low’ even when adequate electric lighting is provided, and contrast is likely to be beneficial to space perception at non-glaring thresholds.

2020

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