A library of building occupant behaviour models represented in a standardised schema

被引:13
作者
Belafi, Zsofia Deme [1 ,2 ]
Hong, Tianzhen [2 ]
Reith, Andras [3 ]
机构
[1] Budapest Univ Technol & Econ, Fac Architecture, Pal Csonka Doctoral Sch, Muegyet Rkp 3, H-1111 Budapest, Hungary
[2] Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA
[3] ABUD, Lonyay U 29, H-1093 Budapest, Hungary
基金
美国能源部;
关键词
Occupant behaviour; Building performance simulation; XML schema; obXML; Occupant behaviour model; PERFORMANCE SIMULATION; ENERGY SIMULATION; DESIGN; FRAMEWORK;
D O I
10.1007/s12053-018-9658-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Over the past four decades, a substantial body of literature has explored the impacts of occupant behaviour (OB) on building technologies, operation, and energy consumption. A large number of data-driven behavioural models have been developed based on field data. These models lack standardisation and consistency, leading to difficulties in applications and comparison. To address this problem, an ontology was developed using the drivers-needs-actions-systems (DNAS) framework. Recent work has been carried out to implement the theoretical DNAS framework into an eXtensible Markup Language (XML) schema, titled 'occupant behaviour XML' (obXML) which is a practical implementation of OB models that can be integrated into building performance simulation (BPS) programs. This paper presents a newly developed library of OB models represented in the standardised obXML schema format. This library provides ready-to-use examples for BPS users to employ more accurate occupant representation in their energy models. The library, which contains an initial effort of 52 OB models, was made publicly available for the BPS community. As part of the library development process, limitations of the obXML schema were identified and addressed, and future improvements were proposed. Authors hope that by compiling this library building, energy modellers from all over the world can enhance their BPS models by integrating more accurate and robust OB patterns.
引用
收藏
页码:637 / 651
页数:15
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