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Effective and robust energy retrofitting measures for future climatic conditions - Reduced heating demand of Swedish households

Nik, Vahid M. LU ; Mata, Erika; Sasic Kalagasidis, Angela and Scartezzini, Jean Louis (2016) In Energy and Buildings 121. p.176-187
Abstract

This article quantifies the energy saving potential and robustness of nine energy retrofitting measures, as well as four combinations of these, for residential building stocks of three major cities in Sweden and for five scenarios of future climatic conditions, downscaled by a regional climate model (RCM). The retrofitting measures are evaluated for five temporal resolutions of hourly, daily, monthly, annual and 20-years during the period of 1961 through 2100. The evaluation takes into account a very important uncertainty factor of future climate data, induced by different global climate models (GCMs). The application of a statistical method for assessing the retrofitting measures is being evaluated. Results verify the consistency and... (More)

This article quantifies the energy saving potential and robustness of nine energy retrofitting measures, as well as four combinations of these, for residential building stocks of three major cities in Sweden and for five scenarios of future climatic conditions, downscaled by a regional climate model (RCM). The retrofitting measures are evaluated for five temporal resolutions of hourly, daily, monthly, annual and 20-years during the period of 1961 through 2100. The evaluation takes into account a very important uncertainty factor of future climate data, induced by different global climate models (GCMs). The application of a statistical method for assessing the retrofitting measures is being evaluated. Results verify the consistency and reliability of the comparative assessment and confirm the possibility of assessing the retrofitting measures without the need for long-term simulations and considering climate uncertainties. Among the considered retrofitting measures, a combination of an improved thermal insulation of the building envelope with energy efficient windows is the most effective and robust retrofitting measure, while tuning the indoor set-point temperature to 20°C can also contribute to significant energy savings.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Big data, Climate change, Climate uncertainty, Energy efficiency, Heating demand, Impact assessment, Retrofitting buildings
in
Energy and Buildings
volume
121
pages
12 pages
publisher
Elsevier
external identifiers
  • scopus:84961828958
  • wos:000376697400017
ISSN
0378-7788
DOI
10.1016/j.enbuild.2016.03.044
language
English
LU publication?
yes
id
b127ebae-1a1b-4e5c-8625-c8e14d041597
date added to LUP
2016-05-19 14:03:13
date last changed
2017-02-03 10:00:44
@article{b127ebae-1a1b-4e5c-8625-c8e14d041597,
  abstract     = {<p>This article quantifies the energy saving potential and robustness of nine energy retrofitting measures, as well as four combinations of these, for residential building stocks of three major cities in Sweden and for five scenarios of future climatic conditions, downscaled by a regional climate model (RCM). The retrofitting measures are evaluated for five temporal resolutions of hourly, daily, monthly, annual and 20-years during the period of 1961 through 2100. The evaluation takes into account a very important uncertainty factor of future climate data, induced by different global climate models (GCMs). The application of a statistical method for assessing the retrofitting measures is being evaluated. Results verify the consistency and reliability of the comparative assessment and confirm the possibility of assessing the retrofitting measures without the need for long-term simulations and considering climate uncertainties. Among the considered retrofitting measures, a combination of an improved thermal insulation of the building envelope with energy efficient windows is the most effective and robust retrofitting measure, while tuning the indoor set-point temperature to 20°C can also contribute to significant energy savings.</p>},
  author       = {Nik, Vahid M. and Mata, Erika and Sasic Kalagasidis, Angela and Scartezzini, Jean Louis},
  issn         = {0378-7788},
  keyword      = {Big data,Climate change,Climate uncertainty,Energy efficiency,Heating demand,Impact assessment,Retrofitting buildings},
  language     = {eng},
  month        = {06},
  pages        = {176--187},
  publisher    = {Elsevier},
  series       = {Energy and Buildings},
  title        = {Effective and robust energy retrofitting measures for future climatic conditions - Reduced heating demand of Swedish households},
  url          = {http://dx.doi.org/10.1016/j.enbuild.2016.03.044},
  volume       = {121},
  year         = {2016},
}