Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

The Influence of Moisture Hysteresis on the Thermal Performance of Bio-Based Insulation

Ranefjard, Oskar LU ; Niklewski, Jonas LU and Rosenkilde, Anders LU (2025) 16th International Conference on Thermal Performance of the Exterior Envelopes of Whole Buildings 2025 In Thermal Performance of the Exterior Envelopes of Whole Buildings
Abstract

Bio-based insulation materials, such as wood fibre, are gaining attention for their low embodied energy, biogenic carbon storage, and potential to leverage moisture-heat interactions to reduce building energy demands. An unexplored phenomenon that might influence their thermal behaviour is moisture sorption hysteresis, where moisture content depends on whether the material is adsorbing or desorbing water vapour, affecting latent heat and thermal conductivity. This study develops and evaluates a method to incorporate moisture hysteresis into commercial hygrothermal software (WUFI 6.5) by manually partitioning insulation layers into separate " desorption states" based on moisture history. Under controlled, steady-state conditions,... (More)

Bio-based insulation materials, such as wood fibre, are gaining attention for their low embodied energy, biogenic carbon storage, and potential to leverage moisture-heat interactions to reduce building energy demands. An unexplored phenomenon that might influence their thermal behaviour is moisture sorption hysteresis, where moisture content depends on whether the material is adsorbing or desorbing water vapour, affecting latent heat and thermal conductivity. This study develops and evaluates a method to incorporate moisture hysteresis into commercial hygrothermal software (WUFI 6.5) by manually partitioning insulation layers into separate " desorption states" based on moisture history. Under controlled, steady-state conditions, modelling hysteresis yielded modest reductions (a few percent) in net heat flux, primarily by delaying evaporation to warmer periods. However, simulations of realistic Nordic wall assemblies with variable day-night conditions showed negligible overall energy performance improvements, as minor gains from moderated daytime thermal loads were largely offset by increased conduction due to higher moisture levels. While confirming the feasibility of modelling hysteresis in standard industry tools, the current approach remains cumbersome, highlighting the need for streamlined or automated methods. Further research is necessary to explore specific design or climatic conditions that may amplify hysteresis effects, refine modelling techniques, and conduct large-scale validation to improve the accuracy of bio-based insulation performance predictions in real buildings.

(Less)
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
host publication
Thermal Performance of the Exterior Envelopes of Whole Buildings XVI International Conference
series title
Thermal Performance of the Exterior Envelopes of Whole Buildings
pages
12 pages
publisher
American Society of Heating Refrigerating and Air-Conditioning Engineers
conference name
16th International Conference on Thermal Performance of the Exterior Envelopes of Whole Buildings 2025
conference location
Clearwater, United States
conference dates
2025-12-08 - 2025-12-11
external identifiers
  • scopus:105043492393
ISSN
2166-8469
ISBN
9781964173344
DOI
10.63044/b16ran29
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2025 ASHRAE (www.ashrae.org).
id
6387469e-78ae-47e2-b6cc-acdfeef4a04a
date added to LUP
2026-07-17 09:31:12
date last changed
2026-08-11 12:40:41
@inproceedings{6387469e-78ae-47e2-b6cc-acdfeef4a04a,
  abstract     = {{<p>Bio-based insulation materials, such as wood fibre, are gaining attention for their low embodied energy, biogenic carbon storage, and potential to leverage moisture-heat interactions to reduce building energy demands. An unexplored phenomenon that might influence their thermal behaviour is moisture sorption hysteresis, where moisture content depends on whether the material is adsorbing or desorbing water vapour, affecting latent heat and thermal conductivity. This study develops and evaluates a method to incorporate moisture hysteresis into commercial hygrothermal software (WUFI 6.5) by manually partitioning insulation layers into separate " desorption states" based on moisture history. Under controlled, steady-state conditions, modelling hysteresis yielded modest reductions (a few percent) in net heat flux, primarily by delaying evaporation to warmer periods. However, simulations of realistic Nordic wall assemblies with variable day-night conditions showed negligible overall energy performance improvements, as minor gains from moderated daytime thermal loads were largely offset by increased conduction due to higher moisture levels. While confirming the feasibility of modelling hysteresis in standard industry tools, the current approach remains cumbersome, highlighting the need for streamlined or automated methods. Further research is necessary to explore specific design or climatic conditions that may amplify hysteresis effects, refine modelling techniques, and conduct large-scale validation to improve the accuracy of bio-based insulation performance predictions in real buildings.</p>}},
  author       = {{Ranefjard, Oskar and Niklewski, Jonas and Rosenkilde, Anders}},
  booktitle    = {{Thermal Performance of the Exterior Envelopes of Whole Buildings XVI International Conference}},
  isbn         = {{9781964173344}},
  issn         = {{2166-8469}},
  language     = {{eng}},
  publisher    = {{American Society of Heating Refrigerating and Air-Conditioning Engineers}},
  series       = {{Thermal Performance of the Exterior Envelopes of Whole Buildings}},
  title        = {{The Influence of Moisture Hysteresis on the Thermal Performance of Bio-Based Insulation}},
  url          = {{http://dx.doi.org/10.63044/b16ran29}},
  doi          = {{10.63044/b16ran29}},
  year         = {{2025}},
}