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Post-occupancy evaluation

About: Post-occupancy evaluation is a research topic. Over the lifetime, 673 publications have been published within this topic receiving 10066 citations.


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Journal ArticleDOI
TL;DR: In this paper, a case study focused specifically on lighting, small power and catering equipment in a high density office building is analyzed and presented, showing 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.

568 citations

01 Jan 2011
TL;DR: In this article, a case study focused on lighting, small power and catering equipment in a high density office building is presented, where the authors demonstrate how knowledge acquired from post-Occupancy Evaluation (POE) can be used to produce more accurate energy performance models.
Abstract: With the increasing demand for more energy efficient buildings, the construction industry is faced with the challenge to ensure that the energy efficiency predicted during the design is realised 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 detailed 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. This 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 presented. Results show that by combining monitored 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.

534 citations

Journal ArticleDOI
TL;DR: In this paper, post-occupancy evaluation (POE) is used to identify problem areas in existing buildings, test new building prototypes and to develop design guidance and criteria for future facilities.
Abstract: Post‐occupancy evaluation (POE) is a diagnostic tool and system which allows facility managers to identify and evaluate critical aspects of building performance systematically. This system has been applied to identify problem areas in existing buildings, to test new building prototypes and to develop design guidance and criteria for future facilities. Outlines the numerous benefits of POE, including better space utilization, as well as cost and time savings. Describes a conceptual framework and evaluation data‐gathering techniques. Presents examples of the outcomes of a case study POE on a medical facility. Highlights the primary effect of a POE database development project on FM software and summarizes the outcomes of an IFMA Pilot Survey on Academic Facility Performance Feedback.

284 citations

Journal ArticleDOI
TL;DR: In the early 1990s, a few organizations in the Netherlands began to experiment with flexible workplaces as discussed by the authors, and the aim was to stimulate new ways of working (dynamic, less closely linked to place and time), to improve labour productivity and to make major cost savings (fewer workplaces, fewer square metres), without reducing employee satisfaction.
Abstract: In the early 1990s, a few organisations in the Netherlands began to experiment with flexible workplaces. Traditional cellular offices and the open‐plan offices or team‐oriented bullpen spaces in which everyone had their own fixed workplace were no longer a matter of course. Making use of modern information and communication technology, the pioneers redirected their attention towards the sharing of activity related workplaces in a combi‐office. Economic considerations (eg low occupancy of expensive workplaces), organisational developments (network organisations, teamwork, fast exchange of knowledge, part‐time work) and external developments (globalisation, strong competition) are important drivers for change. The aim is to stimulate new ways of working (dynamic, less closely linked to place and time), to improve labour productivity and to make major cost savings (fewer workplaces, fewer square metres), without reducing employee satisfaction. Since then a number of new offices have been realised. Twelve per cent of organisations that have moved recently use flexible workspaces for the most part or exclusively. An important question now is whether the aims have been achieved. What are the actual benefits? What are the risks? How should consultants advise their clients? The field is dominated by the opinions of those in favour and those against. Statements expressing the successes or failures of flexible offices contradict each other. Hard data are almost lacking. Due to the scarcity of empirically supported insights, the Delft University of Technology in the Netherlands together with the Centre for People and Buildings and the Centre for Facility Management are carrying out investigations into the costs and benefits of workplace innovation. This paper reports on progress so far, with a focus on employee satisfaction and labour productivity.

262 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202343
2022108
202143
202038
201943
201853