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Building Automation and Control Systems and performance optimization: A framework for analysis

Building Automation and Control Systems and performance optimization: A framework for analysis
Building Automation and Control Systems and performance optimization: A framework for analysis
The pressing global environmental issues are fostering a rapid change in the energy and sustainability policies for the built environment. New paradigms are emerging, such as “Nearly Zero Energy Building” (nZEB), and resource efficiency is progressively becoming a crucial topic in the building sector, implying an appropriate consideration of performance over the whole life cycle. However, empirical evidences show how, very often, the gap between the predicted (design phase) and measured (operation phase) performance is very large, due to errors committed during all the phases of building life cycle. This performance gap determines a problem of credibility in the building industry and, more in general, in sustainability oriented practices. Therefore, design and operation practices should evolve in order to be able to cope with performance uncertainty determined, for example, by evolution of climate conditions, variability of behavioural patterns and performance degradation of technological components. For these reasons, a framework for the analysis of the potential of Building Automation and Control Systems for performance optimization is proposed. This framework aims to highlight, in particular, the possibility of establishing an effective methodological continuity among building performance simulation, control and data analytics, not immediately recognizable in current practices. Further, it aims to envision the possibility of creating a unified methodological approach, which could guarantee multiple feed-backs from measured data, useful for the evolution, first of all, of design and operation practices but also, more in general, of the whole value chain of the building sector.
Building automation, Building control, Data analytics, Internet of things, Performance gap, Performance optimization, Performance tracking
1364-0321
313-330
Aste, Niccolò
357e77da-b1cf-4e22-989e-7e30b2be96fc
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Marenzi, Giorgia
926baa6d-6bf2-4994-beb8-c8d7973067d1
Aste, Niccolò
357e77da-b1cf-4e22-989e-7e30b2be96fc
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Marenzi, Giorgia
926baa6d-6bf2-4994-beb8-c8d7973067d1

Aste, Niccolò, Manfren, Massimiliano and Marenzi, Giorgia (2017) Building Automation and Control Systems and performance optimization: A framework for analysis. Renewable and Sustainable Energy Reviews, 75, 313-330. (doi:10.1016/j.rser.2016.10.072).

Record type: Review

Abstract

The pressing global environmental issues are fostering a rapid change in the energy and sustainability policies for the built environment. New paradigms are emerging, such as “Nearly Zero Energy Building” (nZEB), and resource efficiency is progressively becoming a crucial topic in the building sector, implying an appropriate consideration of performance over the whole life cycle. However, empirical evidences show how, very often, the gap between the predicted (design phase) and measured (operation phase) performance is very large, due to errors committed during all the phases of building life cycle. This performance gap determines a problem of credibility in the building industry and, more in general, in sustainability oriented practices. Therefore, design and operation practices should evolve in order to be able to cope with performance uncertainty determined, for example, by evolution of climate conditions, variability of behavioural patterns and performance degradation of technological components. For these reasons, a framework for the analysis of the potential of Building Automation and Control Systems for performance optimization is proposed. This framework aims to highlight, in particular, the possibility of establishing an effective methodological continuity among building performance simulation, control and data analytics, not immediately recognizable in current practices. Further, it aims to envision the possibility of creating a unified methodological approach, which could guarantee multiple feed-backs from measured data, useful for the evolution, first of all, of design and operation practices but also, more in general, of the whole value chain of the building sector.

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More information

Accepted/In Press date: 31 October 2016
e-pub ahead of print date: 9 November 2016
Published date: 1 August 2017
Keywords: Building automation, Building control, Data analytics, Internet of things, Performance gap, Performance optimization, Performance tracking

Identifiers

Local EPrints ID: 428902
URI: https://eprints.soton.ac.uk/id/eprint/428902
ISSN: 1364-0321
PURE UUID: a7a63c3c-c7cb-493c-9e6e-f0cd3788f073

Catalogue record

Date deposited: 13 Mar 2019 19:29
Last modified: 13 Mar 2019 19:29

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Contributors

Author: Niccolò Aste
Author: Giorgia Marenzi

University divisions

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