Towards systematic reliability modeling of smart buildings
Article No.: 200, Pages 1 - 11
Abstract
Building Management Systems (BMS) monitor and control smart buildings. We are witnessing a trend of BMS becoming increasingly sophisticated and delivering more advanced services. The downside of this is that the complexity of BMS is also increasing, thus, making smart buildings vulnerable to various malfunctions and faults. We anticipate that reliability of smart buildings will be gaining in importance, especially for BMS of critical buildings, such as hospitals or buildings that host emergency services or store sensitive materials or technologies, whose unreliable operation could have catastrophic consequences. The assistance, however, is in the large amounts of easily available data that implies possibilities for development of highly accurate reliability models. Cloud computing can be also utilized to support collaborative sharing and benefitting from each other building's data. To utilize all of the above stated, we have developed a cloud-based BMS reliability analysis framework that we describe and illustrate in this paper.
References
[1]
Arueti, S., and D. Okrent. 1990. "A Knowledge-Based Prototype for Optimization of Preventive Maintenance Scheduling". Reliability Engineering & System Safety 30 (1--3):93--114.
[2]
Di Bella, A., P. Fausti, F. Scamoni, and S. Secchi. 2012. "Italian Experiences on Acoustic Classification of Buildings". Proceedings of Inter Noise.
[3]
Doukas, H., K. D. Patlitzianas, K. Iatropoulos, and J. Psarras. 2007. "Intelligent Building Energy Management System Using Rule Sets". Building and environment 42 (10):3562--3569.
[4]
Hipp, J., U. Güntzer, and G. Nakhaeizadeh. 2000. "Algorithms for Association Rule Mining---a General Survey and Comparison". ACM sigkdd explorations newsletter 2 (1):58--64.
[5]
Lazarova-Molnar, S. 2005. "The Proxel-Based Method: Formalisation, Analysis and Applications". Ottovon-Guericke-Universität Magdeburg, Universitätsbibliothek.
[6]
Lazarova-Molnar, S. 2017. "Towards a Framework for Comprehensive and Systematic Reliability Evaluation of Building Management Systems". In Proceedings of the 8th International Conference on Cyber-Physical Systems, edited by 89--89. 3064844: ACM.
[7]
Lazarova-Molnar, S., M. B. Kjærgaard, H. R. Shaker, and B. N. Jørgensen. 2015. "Commercial Buildings Energy Performance within Context: Occupants in Spotlight". SmartGreens 2015, at Lisbon, Portugal.
[8]
Lazarova-Molnar, S., and N. Mohamed. 2017. "Towards Collaborative Data Analytics for Smart Buildings". In Information Science and Applications (Icisa) 2017, 941--951. Singapore: Springer Singapore.
[9]
Lazarova-Molnar, S., N. Mohamed, and H. R. Shaker. 2017. "Reliability Modeling of Cyber-Physical Systems: A Holistic Overview and Challenges." In Proceedings of the 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES).
[10]
Lazarova-Molnar, S., H. R. Shaker, and N. Mohamed. 2016a. "Reliability of Cyber Physical Systems with Focus on Building Management Systems." In Proccedings of the IEEE International Workshop on Communication, Computing, and Networking in Cyber Physical Systems (CCN-CPS), December 2016, at Las Vegas, NV, USA.
[11]
Lazarova-Molnar, S., H. R. Shaker, and N. Mohamed. 2016b. "Reliability of Cyber Physical Systems with Focus on Building Management Systems." Proccedings of the 35<sup>th</sup> IEEE International Conference on Performance Computing and Communications Conference (IPCCC).
[12]
Mitchell, R., and R. Chen. 2013. "Effect of Intrusion Detection and Response on Reliability of Cyber Physical Systems". IEEE Transactions on Reliability 62 (1): 199--210.
[13]
Nicol, J. F., and M. A. Humphreys. 2004. "A Stochastic Approach to Thermal Comfort---Occupant Behavior and Energy Use in Buildings". ASHRAE transactions 110 (2).
[14]
Nikolaou, T., D. Kolokotsa, and G. Stavrakakis. 2011. "Review on Methodologies for Energy Benchmarking, Rating and Classification of Buildings". Advances in Building Energy Research 5 (1):53--70.
[15]
Paulo, P. V., F. Branco, and J. de Brito. 2014. "Buildingslife: A Building Management System". Structure and Infrastructure Engineering 10 (3):388--397.
[16]
Peruzzi, L., F. Salata, A. de Lieto Vollaro, and R. de Lieto Vollaro. 2014. "The Reliability of Technological Systems with High Energy Efficiency in Residential Buildings". Energy and Buildings 68:19--24.
[17]
Roetzel, A., and A. Tsangrassoulis. 2012. "Impact of Climate Change on Comfort and Energy Performance in Offices". Building and environment 57:349--361.
[18]
Salata, F., A. de Lieto Vollaro, and A. Ferraro. 2014. "An Economic Perspective on the Reliability of Lighting Systems in Building with Highly Efficient Energy: A Case Study". Energy Conversion and Management 84:623--632.
[19]
Shohet, I. M. 2003. "Building Evaluation Methodology for Setting Maintenance Priorities in Hospital Buildings". Construction Management and Economics 21 (7):681--692.
[20]
Smith, E. M., D. R. Sewell, and P. T. Golden. 2004. "System and Method for Energy Management.". Google Patents.
[21]
Verma, A. K., S. Ajit, and D. R. Karanki. 2016. "Reliability of Complex Systems". In Reliability and Safety Engineering, 123--159. Springer.
[22]
Zawawy, H., K. Kontogiannis, and J. Mylopoulos. 2010. "Log Filtering and Interpretation for Root Cause Analysis." In Proceedings of the 2010 IEEE International Conference on Software Maintenance (ICSM),.
[23]
Zhao, P., S. Suryanarayanan, and M. G. Simoes. 2013. "An Energy Management System for Building Structures Using a Multi-Agent Decision-Making Control Methodology". IEEE Transactions on Industry Applications 49 (1):322--330.
[24]
Zou, Y. 2010. "Classification of Buildings with Regard to Airtightness".
Recommendations
Towards a framework for comprehensive and systematic reliability evaluation of building management systems
ICCPS '17: Proceedings of the 8th International Conference on Cyber-Physical SystemsSmart buildings are run by Building Management Systems (BMS) that are cyber-physical systems that control and monitor a number of buildings' subsystems. BMS have not been sufficiently prioritized on their reliability measures. Reliability, however, ...
On the Complexity of Smart Buildings Occupant Behavior: Risks and Opportunities
BCI '17: Proceedings of the 8th Balkan Conference in InformaticsSmart buildings are run by Cyber-Physical Systems (CPS), termed as Building Management Systems (BMS). Typical goals for the operation of BMS are increasing occupant comfort and decreasing buildings energy consumption. The central and critical figure, ...
Occupant behavior modeling for smart buildings: a critical review of data acquisition technologies and modeling methodologies
WSC '15: Proceedings of the 2015 Winter Simulation ConferenceAt the outset, there is no question that building energy use is largely influenced by the presence and behavior of occupants. Among other, the key to realize energy use reduction while still maintaining occupant comfort is to seamlessly integrate ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
December 2017
4389 pages
ISBN:9781538634271
Sponsors
Publisher
IEEE Press
Publication History
Published: 03 December 2017
Check for updates
Qualifiers
- Research-article
Conference
WSC '17
Sponsor:
Acceptance Rates
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 43Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 18 Nov 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in