Abstract
Post-occupancy evaluation (POE) is a systematic method to evaluate the actual building performance against the theoretical design intents after the building has been occupied for some time, to understand how the building is performing and to capture lessons learned. The POE offers an opportunity to investigate the buildings' actual performance based upon the occupants' satisfaction levels in the aspects of building overall design, indoor environmental quality, thermal comfort, etc. However, as the key part of POE, occupant satisfaction assessment (OSA) is a missing link in the building performance evaluation (BPE) domain, and there is not a systematic evaluation method for the OSA. Moreover, it is time-consuming and error-prone to conduct the OSA manually. This paper presents from the end-user's satisfaction perspective a semantic post-occupancy evaluation ontology (POEontology) to facilitate the occupant satisfaction assessment of buildings, with the ultimate aim of optimizing building operation guidelines, and improving occupants' use experience quality and well-being. An ontology-based knowledge model has been developed to capture the fragmented knowledge of building use satisfaction assessment in the POE domain, with the benchmarking evaluation rules encoded in Semantic Web Rule Language (SWRL) to enable automatic rule-based rating and reasoning. This ontology model also enables the effective OSA-related knowledge retrieving and sharing, and promotes its implementation in the POE domain. A field study has been conducted based upon the Building Use Study (BUS) methodology to validate the proposed ontology framework.
Highlights
Post-occupancy evaluation (POE) is a systematic method for measuring the actual building performance in meeting design intents, and identifying the performance gaps between actual performance and the standard criteria in indoor environment quality (IEQ), building design, occupant satisfaction, productivity, energy consumption, etc. [1]
To make up the missing link in the POE domain, this paper has presented a semantic postoccupancy evaluation ontology (POE ontology) from the end-user’s satisfaction perspective, to facilitate the occupant satisfaction assessment of buildings and to promote the knowledge sharing, with the ultimate aims of optimizing building operation guidelines, and improving occupants’ use experience quality and well-being
There are some other representative ontologies in the architecture, engineering and construction (AEC) industry knowledge management field, such as the CSC Ontology for construction safety checking [32], the CNC Ontology for construction noise control [33], the Think Home for energy efficiency in future smart homes [34], the green building post-occupancy evaluation assessment knowledge modelling ontology, which is a knowledge representation model based upon a Chinese POE assessment standard and is only a knowledge model without rules and queries, focusing on the domain of green building labelling evaluation [35], the Dog Ont ontology used to represent energy-related information [36], and so on
Summary
Post-occupancy evaluation (POE) is a systematic method for measuring the actual building performance in meeting design intents, and identifying the performance gaps between actual performance and the standard criteria in indoor environment quality (IEQ), building design, occupant satisfaction, productivity, energy consumption, etc. [1]. There are some other representative ontologies in the architecture, engineering and construction (AEC) industry knowledge management field, such as the CSC Ontology for construction safety checking [32], the CNC Ontology for construction noise control [33], the Think Home for energy efficiency in future smart homes [34], the green building post-occupancy evaluation assessment knowledge modelling ontology, which is a knowledge representation model based upon a Chinese POE assessment standard and is only a knowledge model without rules and queries, focusing on the domain of green building labelling evaluation [35], the Dog Ont ontology used to represent energy-related information [36], and so on. The following section will detail the proposed ontology and its development methodology and process
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