Leveraging Digital Twin for Enhancing Occupants' Comfort: A Case Study

被引：0

作者：

Nurumova, Karina ^{[1
]}

Ramaji, Issa ^{[1
]}

Kermanshachi, Sharareh ^{[2
]}

机构：

[1] Roger Williams Univ, Sch Engn Comp & Construct Management, Bristol, RI 02809 USA

[2] Univ Texas Austin, Dept Civil Engn, Arlington, TX USA

来源：

COMPUTING IN CIVIL ENGINEERING 2021 | 2022年

关键词：

THERMAL COMFORT; BUILDINGS; SYSTEM; BIM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Indoor air conditioning schedule has a significant impact on building energy consumption and occupants' comfort. In order to assure the comfort and health of the occupants, it is necessary to continuously monitor indoor air conditions and adjust the setpoint of the building systems according. Occupant-centric operation of building systems often results in saving energy and more satisfaction in the occupants. Recent advancement in the digital twin technology has created the potentials for real-time monitoring and assessment of indoor air condition, which is an essential need for occupant-centric building operations. This article discusses a case study on creating a digital twin of a building at Roger Williams University to investigate the potentials and challenges of implementing a digital twin for the occupant-centric operation of facilities.

引用

页码：417 / 424

页数：8

共 23 条

[11] Personal comfort models - A new paradigm in thermal comfort for occupant-centric environmental control [J].

Kim, Joyce ;

Schiavon, Stefano ;

Brager, Gail .

BUILDING AND ENVIRONMENT, 2018, 132 :114-124

[12] Spot Monitoring: Thermal comfort evaluation in 25 office buildings in winter [J].

Kuchen, E. ;

Fisch, M. N. .

BUILDING AND ENVIRONMENT, 2009, 44 (04) :839-847

[13] Development of Light Powered Sensor Networks for Thermal Comfort Measurement [J].

Lee, Dasheng .

SENSORS, 2008, 8 (10) :6417-6432

[14]

Meadati P., 2010, Advancing and Integrating Construction Education, Research and Practice, P570

[15] Continuous IEQ monitoring system: Performance specifications and thermal comfort classification [J].

Parkinson, Thomas ;

Parkinson, Alex ;

de Dear, Richard .

BUILDING AND ENVIRONMENT, 2019, 149 :241-252

[16]

Putra Jouvan Chandra Pratama, 2017, Procedia Engineering, V170, P240, DOI [10.1016/j.proeng.2017.03.057, 10.1016/j.proeng.2017.03.057]

[17]

Ramaji I., 2020, DIGITAL TWIN OLD CON

[18] BIM and sensor-based data management system for construction safety monitoring [J].

Riaz Z. ;

Parn E.A. ;

Edwards D.J. ;

Arslan M. ;

Shen C. ;

Pena-Mora F. .

Journal of Engineering, Design and Technology, 2017, 15 (06) :738-753

[19] Integrated Method for Personal Thermal Comfort Assessment and Optimization through Users' Feedback, IoT and Machine Learning: A Case Study [J].

Salamone, Francesco ;

Belussi, Lorenzo ;

Curro, Cristian ;

Danza, Ludovico ;

Ghellere, Matteo ;

Guazzi, Giulia ;

Lenzi, Bruno ;

Megale, Valentino ;

Meroni, Italo .

SENSORS, 2018, 18 (05)

[20] A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends [J].

Tang, Shu ;

Shelden, Dennis R. ;

Eastman, Charles M. ;

Pishdad-Bozorgi, Pardis ;

Gao, Xinghua .

AUTOMATION IN CONSTRUCTION, 2019, 101 :127-139

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