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The relevance of cut-stone to strategies for low-carbon buildings Cover

The relevance of cut-stone to strategies for low-carbon buildings

Open Access
|May 2023

Figures & Tables

BLSBuilding life span
CLTCross-laminated timber
DCFsDynamic characterisation factors
DWCDynamic weighting coefficients
EPDEnvironmental product declaration
GGBFSGround granulated blast furnace slag
GHGGreenhouse gas
GWPGlobal warming potential
HWPHarvested wood product
LCILife cycle inventory
LCALife cycle assessment
RE2020Règlementation Environnementale 2020 (French 2020 Environmental Regulation)
SNBCStratégie Nationale Bas Carbone (French National Low Carbon Strategy)
THTime horizon of GWP analysis
bc-4-1-278-g1.png
Figure 1

Atmospheric load following pulse emission of CO2 (a) and derived dynamic weighting coefficients (DWC) (b), shown for a time horizon of analysis of 100 years.

bc-4-1-278-g2.png
Figure 2

National area coverage versus transport distances from quarries (i.e. A4 construction process stage) for France (a 60 km radius shown in (a)).

bc-4-1-278-g3.png
Figure 3

Differing growth rate models for Norway spruce (i.e. Picea abies): standard scaling model showing decreasing growth rate with tree size versus metabolic scaling model showing increasing growth rate with tree size.

bc-4-1-278-g4.png
Figure 4

Comparative life cycle assessment (LCA) functional unit of 1 m2, with varying thicknesses (industry averages for considered building heights), shown for natural cut-stones (a), harvested wood products (HWPs) (i.e. cross-laminated timber (CLT) in (b)) and concretes (c).

bc-4-1-278-g5.png
Figure 5

Volumetric carbon impact model for stone shown (a) for a 100-year time horizon of analysis, and a 50-year building life spans (BLSs) (i.e. GWP100/kg of natural stone as a function of product thickness n), and model plots against currently available environmental product declarations (EPDs) (b).

Table 1

Stone volumetric carbon impact model scaling (δ) and exponent (ɛ) factors for different time horizons (TH) and building life spans (BLS).

BLS (YEARS)TH = 100TH = 200
δɛδɛ
501.68E–02–6.107E–011.775E–02–6.113E–01
1001.456E–02–5.789E–011.726E–02–6.061E–01

[i] Note: For a static life cycle assessment (LCA), δ = 1.923E–02 and ɛ = –6.052E–01.

bc-4-1-278-g6.png
Figure 6

Distribution of life cycle impacts for thick-dimension stone material assemblies (i.e. n > 0.2 m), displayed for static life cycle assessment (LCA) (i.e. full account of all life cycle inventory (LCI) emissions, without timing-based weighting).

Table 2

Comparative dynamic life cycle assessment (LCA); stone model against various harvested wood products (HWPs) and concrete global warming potential (GWP) models shown for 1 m2 of load-bearing wall surface: (a) GWP100 (kg CO2e) for a 50-year of building life spans; and (b) sensitivity analysis for a 100-year building life span (GWP200).

THICKNESS (CM)STONECEM ICEM III 1CEM III 2CLT 1CLT 2CLT 3CLT 4
(a) GWP100
0.1025.7015.1721.92–17.6911.6920.2150.70
0.2016.6555.4037.0649.52–35.3822.0939.14100.11
0.3019.4985.0658.9677.19–53.0732.4958.06149.52
0.4021.80114.7380.56104.87–70.7642.8976.99198.94
(b) GWP200
0.1023.5012.8619.03–17.48–4.384.3736.75
0.2016.9653.0934.1846.63–34.96–8.788.7673.52
0.3019.8982.7556.0874.31–52.44–13.1613.14110.28
0.4022.28112.4177.68101.99–69.92–17.5517.52147.04
bc-4-1-278-g7.png
Figure 7

Comparative dynamic life cycle assessment (LCA); stone model against various harvested wood products (HWPs) and concrete global warming potential (GWP) models: (a) GWP100 for 50-year life spans; and (b) sensitivity analysis for 100-year building life spans (BLSs) (GWP200).

bc-4-1-278-g8.png
Figure 8

Impact of increased transport distances (A4: transport to building site) on total life cycle carbon impact of a 1 m2 load-bearing cut-stone wall, assuming an average density of 1851 kg/m3, a thickness of n = 24 cm and a building lifespan of 50 years, compared with fixed national average A4 transport distances for concrete and cross-laminated timber (CLT) assemblies (30 and 287 km, respectively).

bc-4-1-278-g9.png
Figure 9

Comparative dynamic life cycle assessment (LCA); the stone model against various harvested wood products (HWPs) and concrete global warming potential (GWP) models shown for load-bearing wall surfaces with typically implemented thicknesses (13, 20 and 24 cm for cross-laminated timber (CLT), concrete and stone walls, respectively): (a) GWPdyn for 50-year life spans; and (b) sensitivity analysis for 100-year life spans.

bc-4-1-278-g10.png
Figure 10

Comparative dynamic life cycle assessment (LCA); the stone model against various harvested wood products (HWPs) and concrete global warming potential (GWP) models shown for 1 m2 of load-bearing wall surface. (a) GWP for 50-year life spans; and (b) sensitivity analysis for 100-year life spans. Typically implemented thicknesses are highlighted in the lower figures.

bc-4-1-278-g11.png
Figure 11

Building stock level analysis, assuming the implementation of considered alternatives on 30% of new collective housing projects over the 2025–50 period: (a) 50-year building life spans (BLSs); and (b) 100-year BLS. Instantaneous and cumulative global warming impact is shown in the first and second series, dynamic global warming potential (GWP) is shown in the third series.

DOI: https://doi.org/10.5334/bc.278 | Journal eISSN: 2632-6655
Language: English
Submitted on: Nov 24, 2022
Accepted on: Apr 30, 2023
Published on: May 31, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Timothée de Toldi, Tristan Pestre, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.