research-article

An integrated performance analysis framework for HVAC systems using heterogeneous data models and building automation systems

Authors:

James H. Garrett, Jr.Authors Info & Claims

BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

Pages 145 - 152

https://doi.org/10.1145/2422531.2422558

Published: 06 November 2012 Publication History

Abstract

More than 20% of the energy consumed by heating, ventilation and air-conditioning (HVAC) systems is wasted due to undetected faults in these systems. In the past three decades, researchers have developed hundreds of computer algorithms to automatically and continuously analyze their energy performance. However, due to the complex information required by these algorithms, it is very difficult for facilities operators to deploy them in real-world buildings.

This paper presents an integrated performance analysis framework (IPAF) that can be used to integrate heterogeneous data models of the building and HVAC systems and the dynamic data from embedded sensors and controllers. This framework facilitates the deployment of performance analysis algorithms in different buildings and HVAC systems by automatically providing the required information. We developed and tested our proposed framework using four different types of algorithms in a real-world facility. The IPAF is able to integrate three heterogeneous data models with 85% of precision and 91% recall. The precision and recall for retrieving data required by the four different types of algorithms are both 100%.

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Cited By

Wang YTang PLiu KCai JRen RLin JCai HZhang JEl-Gohary NBerges MGolparvar Fard M(2023)Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion StrategiesJournal of Computing in Civil Engineering10.1061/JCCEE5.CPENG-507737:2Online publication date: Mar-2023
https://doi.org/10.1061/JCCEE5.CPENG-5077
Koh JHong DGupta RWhitehouse KWang HAgarwal YGupta RHuang PGonzalez M(2018)PlasterProceedings of the 5th Conference on Systems for Built Environments10.1145/3276774.3276794(1-10)Online publication date: 7-Nov-2018
https://dl.acm.org/doi/10.1145/3276774.3276794
Bergés MLange HGao J(2018)Data-Driven Operation of Building Systems: Present Challenges and Future ProspectsAdvanced Computing Strategies for Engineering10.1007/978-3-319-91638-5_2(23-52)Online publication date: 19-May-2018
https://doi.org/10.1007/978-3-319-91638-5_2
Show More Cited By

Index Terms

An integrated performance analysis framework for HVAC systems using heterogeneous data models and building automation systems
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Information systems
  1. Data management systems
    1. Information integration
    2. Middleware for databases
      1. Object-relational mapping facilities

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cover image ACM Conferences

BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

November 2012

227 pages

ISBN:9781450311700

DOI:10.1145/2422531

General Chair:
George J. Pappas
University of Pennsylvania

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 06 November 2012

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SenSys '12

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SenSys '12: The 10th ACM Conference on Embedded Network Sensor Systems

November 6, 2012

Ontario, Toronto, Canada

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Overall Acceptance Rate 148 of 500 submissions, 30%

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Cited By

Wang YTang PLiu KCai JRen RLin JCai HZhang JEl-Gohary NBerges MGolparvar Fard M(2023)Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion StrategiesJournal of Computing in Civil Engineering10.1061/JCCEE5.CPENG-507737:2Online publication date: Mar-2023
https://doi.org/10.1061/JCCEE5.CPENG-5077
Koh JHong DGupta RWhitehouse KWang HAgarwal YGupta RHuang PGonzalez M(2018)PlasterProceedings of the 5th Conference on Systems for Built Environments10.1145/3276774.3276794(1-10)Online publication date: 7-Nov-2018
https://dl.acm.org/doi/10.1145/3276774.3276794
Bergés MLange HGao J(2018)Data-Driven Operation of Building Systems: Present Challenges and Future ProspectsAdvanced Computing Strategies for Engineering10.1007/978-3-319-91638-5_2(23-52)Online publication date: 19-May-2018
https://doi.org/10.1007/978-3-319-91638-5_2
Kazmi AO'grady MDelaney DRuzzelli AO'hare G(2014)A Review of Wireless-Sensor-Network-Enabled Building Energy Management SystemsACM Transactions on Sensor Networks10.1145/253264410:4(1-43)Online publication date: 20-Jun-2014
https://dl.acm.org/doi/10.1145/2532644

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