A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Application of Knowledge Representation and Reasoning to Building Indoor Air Quality
The importance of indoor air quality (IAQ) has been recognized for centuries, with increased interest in the relationship of IAQ to energy efficiency and other building performance issues in the last several decades. Managing IAQ requires an understanding of the complex interactions between buildings, systems, occupants and environmental conditions as well as the interactions of IAQ and related performance issues. Most efforts to address IAQ are specific to the affected buildings, spaces and occupants, and those tasked with solving IAQ problems generally need to consider a wide range of information that can be difficult to access and manage. Knowledge Representation and Reasoning (KRR) techniques are being developed for buildings to organize such information and ultimately enhance building performance. Specifically, Semantic Web technologies have been used to create models representing building system components and their relationships. Such models can improve building analytics and enterprise knowledge management to access the contextual information necessary for automated fault detection and diagnostics, control system configuration to optimize energy use, building commissioning and other applications. This paper describes how KRR can be used to address IAQ with discussion of an example using measured indoor CO2 concentrations to evaluate ventilation rates.
Application of Knowledge Representation and Reasoning to Building Indoor Air Quality
The importance of indoor air quality (IAQ) has been recognized for centuries, with increased interest in the relationship of IAQ to energy efficiency and other building performance issues in the last several decades. Managing IAQ requires an understanding of the complex interactions between buildings, systems, occupants and environmental conditions as well as the interactions of IAQ and related performance issues. Most efforts to address IAQ are specific to the affected buildings, spaces and occupants, and those tasked with solving IAQ problems generally need to consider a wide range of information that can be difficult to access and manage. Knowledge Representation and Reasoning (KRR) techniques are being developed for buildings to organize such information and ultimately enhance building performance. Specifically, Semantic Web technologies have been used to create models representing building system components and their relationships. Such models can improve building analytics and enterprise knowledge management to access the contextual information necessary for automated fault detection and diagnostics, control system configuration to optimize energy use, building commissioning and other applications. This paper describes how KRR can be used to address IAQ with discussion of an example using measured indoor CO2 concentrations to evaluate ventilation rates.
Application of Knowledge Representation and Reasoning to Building Indoor Air Quality
Environ Sci Eng
Wang, Liangzhu Leon (editor) / Ge, Hua (editor) / Zhai, Zhiqiang John (editor) / Qi, Dahai (editor) / Ouf, Mohamed (editor) / Sun, Chanjuan (editor) / Wang, Dengjia (editor) / Delgoshaei, Parastoo (author) / Heidarinejad, Mohammad (author) / Persily, Andrew K. (author)
International Conference on Building Energy and Environment ; 2022
Proceedings of the 5th International Conference on Building Energy and Environment ; Chapter: 212 ; 2011-2019
2023-09-05
9 pages
Article/Chapter (Book)
Electronic Resource
English
A Semantic Approach for Building System Operations: Knowledge Representation and Reasoning
| DOAJ | 2022
| Trans Tech Publications | 2015