Optimization of building energy performance by means of multi-scale analysis – lessons learned from case studies
Optimization of building energy performance by means of multi-scale analysis – lessons learned from case studies
The sustainability of the built environment largely depends on its energy and environmental performances. The overall objective, across the different phases of the building life cycle, is to improve building and system performances in terms of economics, comfort, environmental impact and durability. Several modelling methodologies have been developed in order to evaluate the energy performance of buildings. Generally, every modelling methodology responds effectively to some specific tasks, but there exists a lack of integration in particular with respect to the cross-disciplinary role of data. Given the multi-scale and multi-objective nature of the problem of optimization of the energy and environmental performances of the built environment, an appropriate synthesis and integration process in modelling methodologies has to be identified, addressing realistically the uncertainties inherently present in modelling strategies. Visualization and data analysis techniques are successfully used in a wide variety of applications, both in theoretical and applied domains, but questions remains about their robustness, efficiency and applicability to the problems introduced before. The paper aims to analyze critically these topics by means of case studies, showing a possible path to create a multi-scale methodology able to synthesize all the relevant aspects.
Building performance optimization, Data analytics, Integrated design process, Multi-scale analysis, Visualization techniques
296-306
Tronchin, Lamberto
8527a327-51fb-4865-b99d-eab721dadec9
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Tagliabue, Lavinia Chiara
30e84a7d-5ac8-47fc-9a45-10233778402a
1 November 2016
Tronchin, Lamberto
8527a327-51fb-4865-b99d-eab721dadec9
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Tagliabue, Lavinia Chiara
30e84a7d-5ac8-47fc-9a45-10233778402a
Tronchin, Lamberto, Manfren, Massimiliano and Tagliabue, Lavinia Chiara
(2016)
Optimization of building energy performance by means of multi-scale analysis – lessons learned from case studies.
Sustainable Cities and Society, 27, .
(doi:10.1016/j.scs.2015.11.003).
Abstract
The sustainability of the built environment largely depends on its energy and environmental performances. The overall objective, across the different phases of the building life cycle, is to improve building and system performances in terms of economics, comfort, environmental impact and durability. Several modelling methodologies have been developed in order to evaluate the energy performance of buildings. Generally, every modelling methodology responds effectively to some specific tasks, but there exists a lack of integration in particular with respect to the cross-disciplinary role of data. Given the multi-scale and multi-objective nature of the problem of optimization of the energy and environmental performances of the built environment, an appropriate synthesis and integration process in modelling methodologies has to be identified, addressing realistically the uncertainties inherently present in modelling strategies. Visualization and data analysis techniques are successfully used in a wide variety of applications, both in theoretical and applied domains, but questions remains about their robustness, efficiency and applicability to the problems introduced before. The paper aims to analyze critically these topics by means of case studies, showing a possible path to create a multi-scale methodology able to synthesize all the relevant aspects.
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More information
Accepted/In Press date: 1 November 2015
Published date: 1 November 2016
Keywords:
Building performance optimization, Data analytics, Integrated design process, Multi-scale analysis, Visualization techniques
Identifiers
Local EPrints ID: 414104
URI: http://eprints.soton.ac.uk/id/eprint/414104
ISSN: 2210-6707
PURE UUID: 55a37bc5-f4c4-4872-8fba-523751043a23
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Date deposited: 14 Sep 2017 16:31
Last modified: 16 Mar 2024 04:29
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Author:
Lamberto Tronchin
Author:
Lavinia Chiara Tagliabue
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