Building envelope with a new aerogel-based insulating rendering: Experimental and numerical study, cost analysis, and thickness optimization.

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Title: Building envelope with a new aerogel-based insulating rendering: Experimental and numerical study, cost analysis, and thickness optimization.
Authors: Ibrahim, Mohamad1 mohamad.ibrahim@mines-paristech.fr, Biwole, Pascal Henry1,2, Achard, Patrick1, Wurtz, Etienne3, Ansart, Guillaume3
Source: Applied Energy. Dec2015, Vol. 159, p490-501. 12p.
Subjects: Building envelopes, Energy consumption of buildings, Energy conservation in buildings, Thermal insulation, Thickness measurement, Mathematical optimization
Abstract: In France, renovation of existing buildings has a high priority. The thickness of insulation layers becomes a major issue of concern especially in cities. In this study, we present a recently developed insulating rendering based on silica aerogels that can be applied to new buildings and to retrofit existing ones. A full scale experimental house is built near Chambery in France, with the rendering applied on its external facades. The results of a numerical model developed in EnergyPlus are compared to the on-site measurements. After validating the numerical model, the thickness of the rendering is optimized based on a cost analysis for different climates for the case of retrofitting an old building. Then, a sensitivity analysis is carried out to determine the thickness dependency on annual heating load, present worth factor, rendering’s cost, and heating set-point. Results show that the optimum rendering thickness is in the range of 1.7–4.4 cm and the payback period in the range of 1.4–2.7 years depending on the climate. The optimum thickness increases with the increasing heating set-point and increasing present worth factor; however, it decreases with the increasing rendering cost. [ABSTRACT FROM AUTHOR]
Copyright of Applied Energy is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Building envelope with a new aerogel-based insulating rendering: Experimental and numerical study, cost analysis, and thickness optimization.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Energy%22">Applied Energy</searchLink>. Dec2015, Vol. 159, p490-501. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Building+envelopes%22">Building envelopes</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption+of+buildings%22">Energy consumption of buildings</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+conservation+in+buildings%22">Energy conservation in buildings</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+insulation%22">Thermal insulation</searchLink><br /><searchLink fieldCode="DE" term="%22Thickness+measurement%22">Thickness measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
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  Data: In France, renovation of existing buildings has a high priority. The thickness of insulation layers becomes a major issue of concern especially in cities. In this study, we present a recently developed insulating rendering based on silica aerogels that can be applied to new buildings and to retrofit existing ones. A full scale experimental house is built near Chambery in France, with the rendering applied on its external facades. The results of a numerical model developed in EnergyPlus are compared to the on-site measurements. After validating the numerical model, the thickness of the rendering is optimized based on a cost analysis for different climates for the case of retrofitting an old building. Then, a sensitivity analysis is carried out to determine the thickness dependency on annual heating load, present worth factor, rendering’s cost, and heating set-point. Results show that the optimum rendering thickness is in the range of 1.7–4.4 cm and the payback period in the range of 1.4–2.7 years depending on the climate. The optimum thickness increases with the increasing heating set-point and increasing present worth factor; however, it decreases with the increasing rendering cost. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Applied Energy is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.apenergy.2015.08.090
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 490
    Subjects:
      – SubjectFull: Building envelopes
        Type: general
      – SubjectFull: Energy consumption of buildings
        Type: general
      – SubjectFull: Energy conservation in buildings
        Type: general
      – SubjectFull: Thermal insulation
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      – SubjectFull: Thickness measurement
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      – SubjectFull: Mathematical optimization
        Type: general
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      – TitleFull: Building envelope with a new aerogel-based insulating rendering: Experimental and numerical study, cost analysis, and thickness optimization.
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            NameFull: Ibrahim, Mohamad
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            NameFull: Biwole, Pascal Henry
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            NameFull: Achard, Patrick
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            NameFull: Wurtz, Etienne
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            NameFull: Ansart, Guillaume
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              M: 12
              Text: Dec2015
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              Y: 2015
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