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Building performance monitoring: From in-situ measurement to regression-based approaches

Building performance monitoring: From in-situ measurement to regression-based approaches
Building performance monitoring: From in-situ measurement to regression-based approaches

Simple and robust data analysis methodologies are crucial to learn insights from measured data and reduce the performance gap in building stock. For this reason, continuous performance monitoring should become a more diffuse practice in order to improve our design and operation strategies for the future. The research presented aims to highlight potential links between experimental approaches for test-facilities and methods and tools used for continuous performance monitoring, at the state of the art. In particular, we explore the relation between ISO 9869:2014 method for in-situ measurement of thermal transmittance (U) and regression-based monitoring approaches, such as co-heating test and energy signature, for heat load coefficient (HLC) and solar aperture (gA) estimation. In particular, we highlight the robustness and scalability of these monitoring techniques, considering relevant issues in current integrated engineer design perspective. These issues include, among others, the necessity of limiting the number of a sensors to be installed in buildings, the possibility of employing both experimental and real operation data and, finally, the possibility to automate and perform monitoring at multiple scales, from single components, to individual buildings, to building stock and cities.

1757-899X
Tronchin, Lamberto
8527a327-51fb-4865-b99d-eab721dadec9
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Vodola, Vincenzo
2331a583-1fee-47f3-8d5a-529da9c73e84
Nastasi, Benedetto
0d19eabe-134e-4cbe-9912-ff4c095410cd
Tronchin, Lamberto
8527a327-51fb-4865-b99d-eab721dadec9
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Vodola, Vincenzo
2331a583-1fee-47f3-8d5a-529da9c73e84
Nastasi, Benedetto
0d19eabe-134e-4cbe-9912-ff4c095410cd

Tronchin, Lamberto, Manfren, Massimiliano, Vodola, Vincenzo and Nastasi, Benedetto (2019) Building performance monitoring: From in-situ measurement to regression-based approaches. IOP Conference Series: Materials Science and Engineering, 609. (doi:10.1088/1757-899X/609/7/072043).

Record type: Article

Abstract

Simple and robust data analysis methodologies are crucial to learn insights from measured data and reduce the performance gap in building stock. For this reason, continuous performance monitoring should become a more diffuse practice in order to improve our design and operation strategies for the future. The research presented aims to highlight potential links between experimental approaches for test-facilities and methods and tools used for continuous performance monitoring, at the state of the art. In particular, we explore the relation between ISO 9869:2014 method for in-situ measurement of thermal transmittance (U) and regression-based monitoring approaches, such as co-heating test and energy signature, for heat load coefficient (HLC) and solar aperture (gA) estimation. In particular, we highlight the robustness and scalability of these monitoring techniques, considering relevant issues in current integrated engineer design perspective. These issues include, among others, the necessity of limiting the number of a sensors to be installed in buildings, the possibility of employing both experimental and real operation data and, finally, the possibility to automate and perform monitoring at multiple scales, from single components, to individual buildings, to building stock and cities.

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More information

Published date: 23 October 2019
Venue - Dates: 10th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, IAQVEC 2019, Bari, Italy, 2019-09-05 - 2019-09-07

Identifiers

Local EPrints ID: 435982
URI: http://eprints.soton.ac.uk/id/eprint/435982
ISSN: 1757-899X
PURE UUID: 2a7fd04c-076c-49f2-a9bd-70dbbc78468e
ORCID for Massimiliano Manfren: ORCID iD orcid.org/0000-0003-1438-970X

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Date deposited: 26 Nov 2019 17:30
Last modified: 17 Dec 2019 01:27

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Contributors

Author: Lamberto Tronchin
Author: Vincenzo Vodola
Author: Benedetto Nastasi

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