EXPLORING PERFORMANCE QUERY SPACE
Smita Gupta, Ardeshir Mahdavi
This paper proposes a perspective to view and structure the performance queries in terms of a multi- dimensional query space. The classification of the queries is likely to render them more suitable for analysis, resulting in enhanced responses through selection and execution of appropriate computation tools and techniques. Performance queries can be broadly classified into three types; namely a) those involving the determination of the values of specific performance indicators (e.g. energy use and thermal comfort); b) those addressing cost implications of alternative design options; c) those pertaining to compliance with (local, national, or international) codes and standards. The paper demonstrates the way in which a performance query space can serve as the entry point for a network-based multi-disciplinary performance-based design evaluation environment.
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