Life Cycle Assessment with Carbon Footprint Analysis in Glulam Buildings: A Review
Abstract
1. Introduction
2. Life Cycle Assessment
- Keywords such as Buildings, Wood buildings, and Residential buildings indicate that the research spans a range of building types, from general construction to specific wooden and residential structures. The term Building materials appears 21 times, with particular focus on wood-based materials like Timber structures, GLT, CLT, and Mass timber. This reflects growing interest in their characteristics, applications, and environmental impacts within sustainable construction.
- Related terms such as Building design, Building envelope, and Building information modeling suggest a broader research scope, encompassing not just materials but also design strategies, enclosure systems, and digital tools that enhance building performance and sustainability.
- Carbon-related keywords, including Embodied carbon, Biogenic carbon, Carbon footprint, and Carbon storage, appear frequently, signaling a strong focus on measuring carbon emissions, content, and storage in wooden buildings. These metrics are critical in assessing sustainability, especially in the context of climate change.
- Energy-related terms such as Embodied energy, Energy consumption, Energy efficiency, and Primary energy reveal a significant emphasis on energy use and efficiency throughout a building’s life cycle. This aligns with the Sustainable Development Goals to reduce energy demand and improve utilization.
- Terms like Circular economy, Recycling, Reuse, Circularity, and End-of-life underscore the importance of circular design principles. The research highlights strategies for managing materials at the end of their life cycle and creating systems that minimize resource waste and environmental impact.
3. Multi-Aspect Impacts
3.1. Environmental Aspect
3.2. Economic Aspect
3.3. Social Aspect
4. Carbon Footprint Analysis
4.1. Raw Material Processing Stage
4.2. Transport and Construction Stage
4.3. Service Life Stage
4.4. End-of-Life Stage
5. Results and Discussion
- Regional Carbon Footprint Disparities: European and North American studies consistently reported lower cradle-to-gate and cradle-to-grave carbon footprints for glulam production, typically 28–70% lower than those of conventional concrete and steel structures. These outcomes were largely attributed to advanced forest certification schemes (e.g., PEFC, FSC), widespread use of renewable energy in production (e.g., biomass boilers, hydropower), and optimized logistic networks [65,67,78]. For instance, German and Swedish glulam production systems recorded embodied carbon intensities as low as 110–160 kgCO2e/m2. Conversely, studies from parts of Asia, Sub-Saharan Africa, and Latin America highlighted significant emission burdens due to unsustainable logging practices, reliance on coal and diesel-based electricity, and lack of infrastructure for energy-efficient manufacturing. Notably, Southeast Asia’s tropical hardwood glulam products showed embodied emissions up to 340 kgCO2e/m2 (despite high-carbon-storage potential), mainly due to illegal logging, inefficient processing, and long transportation distances [70,71].
- Life Cycle Performance: Comparative LCAs demonstrated that glulam buildings outperformed reinforced concrete and steel alternatives across 11 to 18 environmental impact categories, including global warming potential (GWP), acidification, eutrophication, smog formation, and fossil fuel depletion [3,88]. Glulam’s inherent carbon storage capacity contributed to offsets ranging from 30% to 47% of total life cycle emissions, depending on regional forest growth rates, product longevity, and structural mass per square meter. Moreover, integration of low-carbon energy systems (e.g., district heating, heat pumps, photovoltaic arrays) during the operational phase reduced GWP by 9% to 67%, particularly in cold-climate applications where heating energy dominates [91,93]. For example, a Swedish study showed net-negative GWP when glulam structures were paired with biomass-based integrated gasification combined cycle (BIGCC) systems.
- Circular Economy Benefits: End-of-life (EOL) strategies emerged as a key differentiator in sustainability outcomes. Recycling and reuse of glulam components reduced EOL emissions by 12% to 29% compared to conventional demolition and landfilling pathways [99,100]. Europe led in circularity, with Sweden reporting up to 90% recovery rates of glulam beams during demolition [109]. Prefabrication techniques, including cross-laminated and hybrid glulam systems, reduced on-site construction time by up to 48% and overall project costs by 10–15%, particularly in Central and Eastern European countries like Slovakia [80,81]. These strategies also minimized embodied construction emissions, often overlooked in conventional LCA models.
- Social and Economic Impacts: Glulam construction was associated with multiple co-benefits beyond environmental metrics. In the European Union, the mass timber sector supports over 1 million jobs, particularly in rural and forestry-dependent regions, contributing to regional economic resilience [90]. Studies in Japan, Austria, and Canada linked glulam interiors with improved indoor environmental quality (IEQ), including increased thermal comfort and reduced stress levels—up to a 15% decrease in occupant-reported stress compared to concrete interiors [94]. Furthermore, glulam’s relatively low weight reduced foundation loads and site impacts, expanding feasibility in both urban infill and remote locations.
6. Conclusions
- Advance bio-based adhesives: Current limitations in the scalability, performance, and cost-efficiency of bio-adhesives impede their adoption. Targeted R&D in lignin-, tannin-, or protein-based alternatives should be prioritized to reduce the fossil-derived chemical content in glulam.
- Develop region-specific LCAs:There is an urgent need for geographically contextualized LCA models that account for local climate, forestry practices, and construction typologies, particularly in underrepresented regions like Africa and South America.
- Enhance end-of-life data and predictive modeling: Many glulam buildings have yet to reach their end-of-life stage. Longitudinal studies and scenario-based modeling should be implemented to improve accuracy in LCA projections and support circular economy planning.
- Foster international collaboration and knowledge transfer: Partnerships such as the In Future Wood Project illustrate the importance of cross-border collaboration. Future efforts should expand shared databases, standardize life cycle inventory (LCI) formats, and facilitate policy learning between regions.
- Promote circular policy frameworks: Policymakers should incentivize material reuse, integrate cradle-to-cradle certification systems, and support demolition planning for material recovery. Financial tools such as green public procurement and carbon pricing should reward projects that demonstrate high material efficiency and low carbon intensity.
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Module | Phase | Stage | Processes |
---|---|---|---|
A1–3 | Production | A1 | Raw Material |
A2 | Transport | ||
A3 | Manufacturing in Factory | ||
A4–5 | Construction | A4 | Transport |
A5 | Installation and Erected Process | ||
B1–7 | Service Life | B1 | Use |
B2 | Maintenance | ||
B3 | Repair | ||
B4 | Replacement | ||
B5 | Refurbishment | ||
B6 | Operation Energy | ||
B7 | Use Operation Water Use | ||
C1–4 | End-of-Life | C1 | Demolition |
C2 | Transport | ||
C3 | Waste Idleness | ||
C4 | Waste Management | ||
D | Potential Benefits and Loads | D1 | Other Environmental Impacts |
Keywords | Occurrences | Total Link Strength |
---|---|---|
Life Cycle Assessment (LCA) | 359 | 522 |
Life cycle cost | 17 | 24 |
Dynamic LCA | 12 | 23 |
Simapro | 6 | 13 |
Comparative LCA | 5 | 9 |
Cradle-to-cradle | 5 | 15 |
Wood | 37 | 84 |
Wood buildings | 27 | 47 |
CLT | 33 | 77 |
Mass timber | 11 | 33 |
Wood products | 10 | 20 |
Bio-based materials | 7 | 14 |
Natural materials | 5 | 5 |
Environmental product declaration | 7 | 13 |
Material substitution | 6 | 14 |
Timber structures | 5 | 9 |
Concrete | 9 | 22 |
Buildings | 48 | 105 |
Building materials | 21 | 48 |
Green building | 5 | 11 |
Built environment | 5 | 13 |
Residential building | 11 | 21 |
Building information modeling | 5 | 7 |
Building design | 8 | 24 |
Building envelope | 7 | 12 |
Embodied carbon | 32 | 76 |
Biogenic carbon | 28 | 78 |
Carbon footprint | 19 | 37 |
Carbon storage | 23 | 53 |
Carbon emission | 11 | 16 |
Sustainability | 38 | 80 |
Sustainable construction | 12 | 15 |
Sustainability assessment | 6 | 15 |
Environmental impact | 50 | 96 |
Industrial ecology | 6 | 15 |
Global warming | 35 | 85 |
Climate change | 20 | 53 |
Greenhouse gas emissions | 22 | 51 |
Climate change mitigation | 8 | 19 |
Embodied energy | 19 | 38 |
Energy consumption | 11 | 21 |
Energy efficiency | 9 | 19 |
Primary energy | 7 | 16 |
Energy | 5 | 8 |
Land use | 7 | 15 |
Circular economy | 21 | 39 |
Bioeconomy | 6 | 8 |
Construction and demolition waste | 6 | 12 |
Recycling | 6 | 10 |
Circularity | 5 | 13 |
Reuse | 5 | 12 |
End-of-life | 5 | 8 |
Transport | 5 | 9 |
Allocation | 5 | 13 |
Ref. | Location | Building Profile | Contrasting Material | Key Findings |
---|---|---|---|---|
[16] | Finland | Five-story apartment, 7250 m2, CLT, 50-year lifespan | Wood concrete | 28% lower emissions (A1–A3), 55% lower emissions (A4), highest CO2eq 44,627 kg, most advantageous timber, 47% in the eutrophication impact category |
[17] | USA | Twelve-story mixed-use apartment/office, 8360 m2, 1782 m3 CLT, 557 m3 glulam | Concrete and rebar | 18%, 1%, and 47% reduction in the impact categories of global warming, ozone depletion, and eutrophication, respectively (A1–A5) |
[18] | Uruguay | One-floor single-family house, 63 m2, CLT, 60-year lifespan | Concrete masonry structure | Glulam had low median values in impact categories such as GWP, AP, FWE, HT, and ODP, but was higher in use phase (B2–B4) |
[19] | Malaysia | One-floor residential, 142.88 m2, CLT beams, steel-plate walls/roofs, 50-year lifespan | Light steel frame, concrete, brick | Lower emissions in all environmental categories, namely, GWP, HT, FDP, OLD, TA |
[20] | China | Seven-story CLT structure, 2799.3 m2, 50-year lifespan | Concrete | 30% reduction in energy use, 40% reduction in CO2 emissions |
[21] | Japan | Two-floor research building, 1424.23 m2, CLT | Concrete foundation | CLT 17% of total impact, stored carbon 32% of emissions, biomass-derived electricity was also reduced on acidification by 5%, and photochemical oxidation was reduced by 7% |
[22] | USA | Twelve-story mixed-use, 8360 m2, glulam columns/beams, CLT floors/walls, 60-year lifespan | Concrete and rebar | 70% lower emissions than RC (excluding B6) |
[15] | Norway | Eight-story CLT study, 3973 m2 heated, 695 m2 basement, 100-year lifespan | Five-story concrete, 2449 m2 heated | Among the 18 environmental impact indicator categories, CLT buildings scored the lowest in 11 impact categories, especially with a CLT of 49.7% lower for GWP |
[23] | Italy | 1 m2 CLT external wall, primary school classroom, 50-year lifespan | \ | for 14 impact categories, the use phase has the highest environmental impact, in particular, ozone depletion, freshwater cutrophication, and ecotoxicity for aquatic freshwater, followed by the production, end-of-life, raw material acquisition, and construction phases |
[24] | China | 4–17 stories, 4900–26,500 m2, 50-year lifespan | RC | 13% lower GWP than RC (excluding B3–B5) |
[25] | Australia | 10 stories, no basement, 1558 m2, 75-year lifespan | RC | 40% reduction in GHG emissions, FW about 20 times lower, and PENRT reaching a negative value |
[26] | Chile | Five-story midrise social housing, CLT, 1405 m2 | Concrete (same design) | 42% lower embodied emissions, biogenic carbon storage 447 tons CO2eq/m2 |
[27] | Germany | 2–4-story office/admin buildings, 292–5445 m2, agricultural buildings 906–2555 m2, 50-year lifespan | Steel, concrete, brick | Office/admin emissions reduced by 6–48%, agricultural by 5–37%, non-agricultural by 14–44% |
[28] | Sweden | Eight-story, 3374 m2, CLT, 50-year lifespan | \ | 203.4 kg CO2eq/m2 (material production), reduction up to 43% with engineering solutions |
Region | Research Focus | Findings |
---|---|---|
China [38] | Carbon transfer from forests through industrial processing to end-use wood products | Annual net carbon sink of 14.9 Tg C per year, cumulative absorption of 893 Tg C, with 76% stored in furniture products. The carbon pool of HWPs could absorb up to 2979 ± 806 Tg C. |
Japan [39] | Environmental impact and emission reductions of wood consumption from 1970–2013 using LCA | Increased wood use for construction, furniture, and energy production could reduce environmental impacts by CNY 357 billion in 2050. |
South Korea [40] | Material circularity and environmental impact of timber hybrid public building | Environmental impact reductions of −13.5%, −11.5%, and −5.0% based on different structural applications. BCI improved from 0.26 to 0.31, 0.29, and 0.25. |
Malaysia [19] | Application potential of wood in local construction | Using wood in steel and concrete construction could save 36–45% in production, labor, transportation, and machinery costs. |
Germany [41] | Recycling technology for recovered solid wood into GLT products | Recycling into GLT resulted in 29% lower environmental impact and 32% lower costs than incineration. |
Slovakia [42] | Benefits of prefabricated panel wood construction (PWC) | Construction time 48% shorter, cost 15% lower, and transportation cost 57% lower than brick and stone buildings. |
European Countries [43] | Assessment of construction wood use intensity | Cyprus and Malta had the least use (0.01 ratio), Estonia and Romania had the highest (0.32 ratio). |
Italy [44] | Environmental and market performance of wood supply chains | OSB manufacturing is a better alternative for energy use of wood chips; recycling provided better end-of-life treatment. |
Norway [45] | Feasibility and sustainability of CLT in industrial buildings | CLT elements could achieve 3.3% total energy cost savings. |
USA [46] | Comparison of steel frame and wood alternative for a four-story office building | 75% of CLT and 95% of glulam could be reused; remaining converted to particleboard. |
Canada [47] | Feasibility of converting construction and demolition wood waste into biofuels | Biofuel production was economically feasible when considering GHG emission reductions. |
Brazil [48] | Circular economy strategy using recycled wood chips | Recycling wood waste into bio-concrete provided a carbon sink and contributed to low-carbon construction. |
Australia [49] | Comparison of GHG emissions and life cycle cost of CLT vs. reinforced concrete buildings | CLT buildings had lower initial costs (8–10% savings), 30% less construction time, and lower labor, demolition, and recycling costs. However, maintenance was 13–16% more expensive than RC. |
South Africa [50] | Log resource availability and global warming impact of wood-based residential buildings | High self-sufficiency in forestry products; valuable sawn timber market; provided sustainable forest management practices. |
Community Well-Being | Cultural Significance | Workforce and Job Creation | Equity and Accessibility |
---|---|---|---|
Contributions of glulam buildings to community health and safety, improvement in living conditions | role of glulam in preserving architectural heritage and supporting culturally appropriate designs | opportunities in forestry, manufacturing, and construction sectors tied to glulam supply chains | addressing housing affordability, inclusive design for vulnerable populations, and fair labor practices |
Thermal Comfort | Visual Comfort | Acoustic Comfort | Indoor Air Quality | |
---|---|---|---|---|
Parameter | PMV/PPD or operative temperature; Humidity; Air velocity; Vertical air temperature differences; Radiant temperature asymmetry; Surface temperature of the floor | Requirements for lighting and day lighting provision; View out; Exposure to sunlight; Illuminance; Luminance; Light uniformity; Glare; Color (color rendering, light source color) | Sound level difference; Sound insulation; Sound absorption; Noise level(s) Frequency | Pollutant concentrations (such as VOCs, CO2), ventilation parameters, airflow patterns and pressure relationships |
Human Physiology | Skin heat receptors; Core body temperature regulation system | Visual system | Auditory system | Respiratory and inhalation systems, olfactory systems |
Influence Factors | Mild temperature; Humidity regulation | The fit of biophilic design | Sound absorption characteristics | Woody aroma, antibacterial performance, and low-carbon environmental sustainability |
Mode of Transport | Turnover | Carbon Emission Factor |
---|---|---|
Aviation | 1293.25 t·km | 899.48 g/(t·km) |
Road Freight | 59,636.39 t·km | 97.60 g/(t·km) |
Railway | 41,539.10 t·km | 11.3 g/(t·km) |
Water Transport | 104,003.15 t·km | 8.65 g/(t·km) |
Phase | Reuse | Recycling | Incineration | Incineration (with Energy Recovery) | Landfill |
---|---|---|---|---|---|
Up to construction | −1100 | −1100 | −1100 | −1100 | −1100 |
Demolition | 22 | 22 | 22 | 22 | 22 |
Transport | 12 | 12 | 12 | 12 | 12 |
Re-manufacture | - | 10 | - | - | - |
Re-transport | - | 12 | - | - | - |
Re-construction | 45 | 45 | - | - | - |
Combustion | - | - | 1192 | 1192 | - |
Energy recovered | - | - | - | −628 | - |
Emissions from landfill | - | - | - | - | 1013 |
Total | −1021 | −99 | 126 | −502 | −53 |
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Liu, R.; Yao, L.; Gong, Y.; Wang, Z. Life Cycle Assessment with Carbon Footprint Analysis in Glulam Buildings: A Review. Buildings 2025, 15, 2127. https://doi.org/10.3390/buildings15122127
Liu R, Yao L, Gong Y, Wang Z. Life Cycle Assessment with Carbon Footprint Analysis in Glulam Buildings: A Review. Buildings. 2025; 15(12):2127. https://doi.org/10.3390/buildings15122127
Chicago/Turabian StyleLiu, Ruijing, Lihong Yao, Yingchun Gong, and Zhen Wang. 2025. "Life Cycle Assessment with Carbon Footprint Analysis in Glulam Buildings: A Review" Buildings 15, no. 12: 2127. https://doi.org/10.3390/buildings15122127
APA StyleLiu, R., Yao, L., Gong, Y., & Wang, Z. (2025). Life Cycle Assessment with Carbon Footprint Analysis in Glulam Buildings: A Review. Buildings, 15(12), 2127. https://doi.org/10.3390/buildings15122127