A Framework for Fully Automated Performance Testing for Smart Buildings

Elena Markoska; Aslak  Johansen; Sanja Lazarova-Molnar

doi:10.1007/978-981-13-1165-9_21

A Framework for Fully Automated Performance Testing for Smart Buildings

Elena Markoska, Aslak Johansen, Sanja Lazarova-Molnar

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

A significant proportion of energy consumption by buildings worldwide, estimated to ca. 40%, has yielded a high importance to studying buildings’ performance. Performance testing is a mean by which buildings can be continuously commissioned to ensure that they operate as designed. Historically, setup of performance tests has been manual and labor-intensive and has required intimate knowledge of buildings’ complexity and systems. The emergence of the concept of smart buildings has provided an opportunity to overcome this restriction. In this paper, we propose a framework for automated performance testing of smart buildings that utilizes metadata models. The approach features automatic detection of applicable performance tests using metadata queries and their corresponding instantiation, as well as continuous commissioning based on metadata. The presented approach has been implemented and tested on a case study building at a university campus in Denmark.

Original language	English
Title of host publication	Third International Congress on Information and Communication Technology : ICICT 2018, London
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer
Publication date	Oct 2018
Pages	235-243
ISBN (Print)	978-981-13-1164-2
ISBN (Electronic)	978-981-13-1165-9
DOIs	https://doi.org/10.1007/978-981-13-1165-9_21
Publication status	Published - Oct 2018
Event	International Congress on Information and Communication Technology - London, United Kingdom Duration: 27. Feb 2018 → 28. Feb 2018 http://www.icict.co.uk/

Conference

Conference	International Congress on Information and Communication Technology
Country/Territory	United Kingdom
City	London
Period	27/02/2018 → 28/02/2018
Internet address	http://www.icict.co.uk/

Series	Advances in Intelligent Systems and Computing
Volume	797
ISSN	2194-5357

Keywords

Building metadata models
Building performance testing
Continuous commissioning
Energy efficiency
Smart buildings

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10.1007/978-981-13-1165-9_21

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Cite this

Markoska, Elena ; Johansen, Aslak ; Lazarova-Molnar, Sanja. / A Framework for Fully Automated Performance Testing for Smart Buildings. Third International Congress on Information and Communication Technology: ICICT 2018, London. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer, 2018. pp. 235-243 (Advances in Intelligent Systems and Computing, Vol. 797).

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title = "A Framework for Fully Automated Performance Testing for Smart Buildings",

abstract = "A significant proportion of energy consumption by buildings worldwide, estimated to ca. 40%, has yielded a high importance to studying buildings{\textquoteright} performance. Performance testing is a mean by which buildings can be continuously commissioned to ensure that they operate as designed. Historically, setup of performance tests has been manual and labor-intensive and has required intimate knowledge of buildings{\textquoteright} complexity and systems. The emergence of the concept of smart buildings has provided an opportunity to overcome this restriction. In this paper, we propose a framework for automated performance testing of smart buildings that utilizes metadata models. The approach features automatic detection of applicable performance tests using metadata queries and their corresponding instantiation, as well as continuous commissioning based on metadata. The presented approach has been implemented and tested on a case study building at a university campus in Denmark. ",

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author = "Elena Markoska and Aslak Johansen and Sanja Lazarova-Molnar",

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booktitle = "Third International Congress on Information and Communication Technology",

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note = "International Congress on Information and Communication Technology, ICICT 2018 ; Conference date: 27-02-2018 Through 28-02-2018",

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Markoska, E, Johansen, A & Lazarova-Molnar, S 2018, A Framework for Fully Automated Performance Testing for Smart Buildings. in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Third International Congress on Information and Communication Technology: ICICT 2018, London. Springer, Advances in Intelligent Systems and Computing, vol. 797, pp. 235-243, International Congress on Information and Communication Technology, London, United Kingdom, 27/02/2018. https://doi.org/10.1007/978-981-13-1165-9_21

A Framework for Fully Automated Performance Testing for Smart Buildings. / Markoska, Elena; Johansen, Aslak ; Lazarova-Molnar, Sanja.
Third International Congress on Information and Communication Technology: ICICT 2018, London. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer, 2018. p. 235-243 (Advances in Intelligent Systems and Computing, Vol. 797).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - A Framework for Fully Automated Performance Testing for Smart Buildings

AU - Markoska, Elena

AU - Johansen, Aslak

AU - Lazarova-Molnar, Sanja

PY - 2018/10

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N2 - A significant proportion of energy consumption by buildings worldwide, estimated to ca. 40%, has yielded a high importance to studying buildings’ performance. Performance testing is a mean by which buildings can be continuously commissioned to ensure that they operate as designed. Historically, setup of performance tests has been manual and labor-intensive and has required intimate knowledge of buildings’ complexity and systems. The emergence of the concept of smart buildings has provided an opportunity to overcome this restriction. In this paper, we propose a framework for automated performance testing of smart buildings that utilizes metadata models. The approach features automatic detection of applicable performance tests using metadata queries and their corresponding instantiation, as well as continuous commissioning based on metadata. The presented approach has been implemented and tested on a case study building at a university campus in Denmark.

AB - A significant proportion of energy consumption by buildings worldwide, estimated to ca. 40%, has yielded a high importance to studying buildings’ performance. Performance testing is a mean by which buildings can be continuously commissioned to ensure that they operate as designed. Historically, setup of performance tests has been manual and labor-intensive and has required intimate knowledge of buildings’ complexity and systems. The emergence of the concept of smart buildings has provided an opportunity to overcome this restriction. In this paper, we propose a framework for automated performance testing of smart buildings that utilizes metadata models. The approach features automatic detection of applicable performance tests using metadata queries and their corresponding instantiation, as well as continuous commissioning based on metadata. The presented approach has been implemented and tested on a case study building at a university campus in Denmark.

KW - Building metadata models

KW - Building performance testing

KW - Continuous commissioning

KW - Energy efficiency

KW - Smart buildings

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DO - 10.1007/978-981-13-1165-9_21

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SN - 978-981-13-1164-2

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SP - 235

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BT - Third International Congress on Information and Communication Technology

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Markoska E, Johansen A , Lazarova-Molnar S. A Framework for Fully Automated Performance Testing for Smart Buildings. In Yang XS, Sherratt S, Dey N, Joshi A, editors, Third International Congress on Information and Communication Technology: ICICT 2018, London. Springer. 2018. p. 235-243. (Advances in Intelligent Systems and Computing, Vol. 797). doi: 10.1007/978-981-13-1165-9_21

A Framework for Fully Automated Performance Testing for Smart Buildings

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