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Future climate resilience through informed decision making in retrofitting projects

Gremmelspacher, Jonas Manuel ; Sivolova, Julija ; Naboni, Emanuele and Nik, Vahid M. LU orcid (2020) 20th International Conference on Computational Science and Its Applications, ICCSA 2020 In Lecture Notes in Computer Science 12251 LNCS. p.352-364
Abstract

High energy use for space conditioning in residential buildings is a significant economic factor for owners and tenants, but also contributes to resource depletion and carbon emissions due to energy generation. Many existing dwellings should thus be retrofitted in order to fulfil the ambitious EU carbon emission mitigation goals by 2050. To investigate how future climate resilience can be implemented in the design process of retrofitting measures, this study concentrates on real case studies that have been retrofitted during the past decade. The performance of retrofitting measures for four case studies in Denmark and Germany were investigated under future climate projections and compared between the non-retrofitted initial stage of the... (More)

High energy use for space conditioning in residential buildings is a significant economic factor for owners and tenants, but also contributes to resource depletion and carbon emissions due to energy generation. Many existing dwellings should thus be retrofitted in order to fulfil the ambitious EU carbon emission mitigation goals by 2050. To investigate how future climate resilience can be implemented in the design process of retrofitting measures, this study concentrates on real case studies that have been retrofitted during the past decade. The performance of retrofitting measures for four case studies in Denmark and Germany were investigated under future climate projections and compared between the non-retrofitted initial stage of the buildings and the retrofitted stage. Building performance simulations were employed to investigate how severe the effects of climate change until the end of the 21st century on the material choice and system design is. Results show that summertime thermal comfort will be a major challenge in the future. Energy use for space heating was seen to decrease for periods in the future, also the severity of cold events decreased, resulting in a decline of heating peak loads. Additionally, not considering extreme events was proven to lead to miss-dimensioning thermal systems. Overall, the study shows that adaptation of informed decisions, accounting for the uncertainties of future climate, can bring a significant benefit for energy-efficient retrofits, potentially promoting adequate passive measures as well as free cooling to prevent overheating and enhance heat removal.

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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Building Performance Simulation, Building stock, Climate action, Climate change, Future climate, Residential buildings, Resilience, Retrofitting buildings
host publication
Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Proceedings - 20th International Conference, Proceedings
series title
Lecture Notes in Computer Science
editor
Gervasi, Osvaldo ; Murgante, Beniamino ; Misra, Sanjay ; Garau, Chiara ; Blecic, Ivan ; Taniar, David ; Apduhan, Bernady O. ; Rocha, Ana Maria A.C. ; Tarantino, Eufemia ; Torre, Carmelo Maria and Karaca, Yeliz
volume
12251 LNCS
pages
13 pages
publisher
Springer
conference name
20th International Conference on Computational Science and Its Applications, ICCSA 2020
conference location
Cagliari, Italy
conference dates
2020-07-01 - 2020-07-04
external identifiers
  • scopus:85092281110
ISSN
0302-9743
1611-3349
ISBN
978-3-030-58808-3
9783030588076
DOI
10.1007/978-3-030-58808-3_26
language
English
LU publication?
yes
id
369b7d70-9ba5-4747-9799-dcc61507a37c
date added to LUP
2020-10-22 17:27:36
date last changed
2022-07-20 07:14:49
@inproceedings{369b7d70-9ba5-4747-9799-dcc61507a37c,
  abstract     = {{<p>High energy use for space conditioning in residential buildings is a significant economic factor for owners and tenants, but also contributes to resource depletion and carbon emissions due to energy generation. Many existing dwellings should thus be retrofitted in order to fulfil the ambitious EU carbon emission mitigation goals by 2050. To investigate how future climate resilience can be implemented in the design process of retrofitting measures, this study concentrates on real case studies that have been retrofitted during the past decade. The performance of retrofitting measures for four case studies in Denmark and Germany were investigated under future climate projections and compared between the non-retrofitted initial stage of the buildings and the retrofitted stage. Building performance simulations were employed to investigate how severe the effects of climate change until the end of the 21<sup>st</sup> century on the material choice and system design is. Results show that summertime thermal comfort will be a major challenge in the future. Energy use for space heating was seen to decrease for periods in the future, also the severity of cold events decreased, resulting in a decline of heating peak loads. Additionally, not considering extreme events was proven to lead to miss-dimensioning thermal systems. Overall, the study shows that adaptation of informed decisions, accounting for the uncertainties of future climate, can bring a significant benefit for energy-efficient retrofits, potentially promoting adequate passive measures as well as free cooling to prevent overheating and enhance heat removal.</p>}},
  author       = {{Gremmelspacher, Jonas Manuel and Sivolova, Julija and Naboni, Emanuele and Nik, Vahid M.}},
  booktitle    = {{Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Proceedings}},
  editor       = {{Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Garau, Chiara and Blecic, Ivan and Taniar, David and Apduhan, Bernady O. and Rocha, Ana Maria A.C. and Tarantino, Eufemia and Torre, Carmelo Maria and Karaca, Yeliz}},
  isbn         = {{978-3-030-58808-3}},
  issn         = {{0302-9743}},
  keywords     = {{Building Performance Simulation; Building stock; Climate action; Climate change; Future climate; Residential buildings; Resilience; Retrofitting buildings}},
  language     = {{eng}},
  pages        = {{352--364}},
  publisher    = {{Springer}},
  series       = {{Lecture Notes in Computer Science}},
  title        = {{Future climate resilience through informed decision making in retrofitting projects}},
  url          = {{http://dx.doi.org/10.1007/978-3-030-58808-3_26}},
  doi          = {{10.1007/978-3-030-58808-3_26}},
  volume       = {{12251 LNCS}},
  year         = {{2020}},
}