Preprint
Article

This version is not peer-reviewed.

Classification of Key Construction Materials in Life Cycle Assessment for Achieving Carbon-Neutral Buildings: A Meta-Analysis of 100 G-SEED Certified Projects

A peer-reviewed article of this preprint also exists.

Submitted:

05 August 2025

Posted:

07 August 2025

You are already at the latest version

Abstract
As operational emissions decrease due to improved energy efficiency, reducing embodied carbon in buildings has become increasingly important. Life Cycle Assessment (LCA) is a widely used method to quantify these impacts. However, its implementation often remains data-intensive and time-consuming due to the need for detailed material inventories. This study analyzed 100 LCA reports submitted for G-SEED certification in South Korea to identify a core set of construction materials that accounts for the majority of total material mass. The findings revealed 12 key material categories—such as ready-mixed concrete, cement-based products, structural steel, wood, and interior finishes—that dominate embodied carbon contributions, with concrete alone comprising over 85% of the total mass. Based on these results, a material classification framework was developed according to functional role and carbon impact. By focusing on these high-impact materials, future LCA efforts can be significantly streamlined without compromising accuracy. This approach offers data-driven guidance for LCA practitioners, designers, and green building certification bodies aiming for efficient and reliable carbon assessments.
Keywords: 
;  ;  ;  ;  ;  ;  

1. Introduction

The building sector is responsible for nearly 37% of global greenhouse gas (GHG) emissions, with a significant portion originating from the production, transportation, and installation of construction materials—commonly referred to as embodied carbon [1]. As operational carbon emissions decline due to high-performance insulation and energy-efficient systems, embodied carbon has become a critical focus in the pursuit of carbon-neutral buildings [2].
Life Cycle Assessment (LCA) is widely recognized as a robust methodology for evaluating the environmental performance of buildings across their entire life cycles. Numerous studies have shown that a small number of materials—such as concrete, steel, and insulation—account for the majority of a building’s embodied carbon [3,4]. Despite this, current LCA practices typically require exhaustive material inventories, many of which have minimal impact on the overall environmental footprint.
International certification systems such as LEED, BREEAM, and DGNB have incorporated LCA into their frameworks, and countries like France and the Netherlands have mandated LCA submissions for new buildings [5,6]. However, the lack of practical guidance on which materials to prioritize in carbon assessments limits both the efficiency and applicability of LCA in design and policy contexts.
In South Korea, the G-SEED certification system currently includes LCA as part of its evaluation criteria and plans to strengthen these requirements after 2025. Yet, no studies have systematically analyzed LCA data submitted under G-SEED to identify material contribution patterns. This evidence gap hampers efforts to streamline LCA practices and integrate embodied carbon considerations into routine design workflows.
To address this gap, this study analyzed 100 LCA reports submitted for G-SEED certification to identify the construction materials that collectively represent over 99% of the total material mass. Based on this analysis, we developed a simplified classification framework comprising 12 core material categories, organized by functional role and carbon impact. The aim is to support practical LCA simplification by focusing on essential components while preserving sufficient accuracy for carbon assessment and certification purposes.

2. Materials and Methods

2.1. Literature Review

An extensive literature review was conducted to establish a conceptual foundation for material classification in building LCA, focusing on the following four domains.
  • Global trends in embodied carbon and life cycle assessment methodologies;
  • Material-level impact studies (e.g., concrete, steel, insulation);
  • Prior approaches to material ranking, classification, and prioritization;
  • The integration of LCA into green building certifications and policy mechanisms.

2.2. Data Collection and Analysis

The primary dataset comprised 100 LCA reports submitted for G-SEED certification in the Republic of Korea between 2017 and 2024. These reports covered diverse building typologies (residential, office, school, and retail) and structural systems (reinforced concrete, composite, and steel-reinforced concrete).
The analysis proceeded as follows:
  • Bill of Quantities (BoQ) Review: Each report’s BoQ was examined to determine the total number of materials listed.
  • Mass Contribution Calculation: For material group, the percentage contribution to the total mass was computed.
  • Material Ranking: Materials were ranked based on their frequency of occurrence across projects, cumulative mass contribution, and relative carbon impact potential.
  • Classification Framework: Materials were grouped into 12 categories based on their functional roles and potential integration into certification systems.

3. Literature Review

3.1. Overview of LCA in Buildings

LCA has become a standardized methodology for evaluating the environmental impacts of buildings across their entire life cycle—from the extraction of raw materials to end-of-life disposal [7,8]. In highly energy-efficient buildings, embodied carbon—emissions resulting from the production and construction of materials—can account for 30–70% of total greenhouse gas (GHG) emissions [2,3]. As such, emissions from the material phase have become increasingly central to achieving carbon neutrality in the built environment.
Figure 1. Importance of material-phase emissions has become increase [2].
Figure 1. Importance of material-phase emissions has become increase [2].
Preprints 171190 g001

3.2. Embodied Carbon and Material Contributions

Embodied carbon refers to the GHG emissions associated with all life cycle stages of construction materials, including raw material extraction, manufacturing, transportation, and installation. International standards such as ISO 14040/14044 and EN 15978 provide methodological frameworks for conducting building LCAs, defining system boundaries and modules [9].
Figure 2. Building’s LCA stages according to EN 15978.
Figure 2. Building’s LCA stages according to EN 15978.
Preprints 171190 g002
According to EN 15978, the building life cycle is typically segmented into Modules A (product and construction stages), B (use stage), C (end-of-life stage), and D (benefits beyond the system boundary). Within this framework, Modules A1–A3 (Product Stage: raw material supply, transport, and manufacturing) are considered critical, as they account for the majority of embodied carbon in buildings [10]. Numerous studies have confirmed that emissions from these stages dominate the overall environmental impact of construction materials, particularly for structural components [2,3].
Figure 3. System boundary of building materials [10].
Figure 3. System boundary of building materials [10].
Preprints 171190 g003
Furthermore, A persistent challenge in LCA implementation lies in the exhaustive material inventories traditionally required by standards. While typical Bills of Quantities (BoQs) may include hundreds of material entries, research indicates that a small subset of materials—such as concrete, steel, and insulation—often represents over 90–95% of the total mass and carbon impact [12,13]. To improve LCA efficiency without compromising accuracy, recent approaches have proposed a cumulative mass-based threshold—commonly set at 99%—to limit detailed assessments to high-impact materials [13,14]. This method aligns with the Pareto principle, ensuring that the most significant contributors are fully captured while omitting negligible components. Meta-analyses have further validated that materials with high production volumes or energy-intensive manufacturing processes—such as cement, rebar, and aluminum—are primary contributors to environmental impacts [15,16].
In practice, calculating cumulative mass contributions and excluding the bottom 1% of materials enables substantial reductions in data entry and modeling complexity while maintaining robust carbon estimates for Modules A1–A3. This approach is increasingly recognized as a viable strategy for simplifying LCA processes in certification systems and early-stage design decision-making [12,17].

3.3. Material Classification and Prioritization

Despite growing awareness of the importance of embodied carbon at the material level, standardized frameworks for classifying and prioritizing construction materials remain underdeveloped [13,18]. Discrepancies in classification criteria—such as functional roles (e.g., structural vs. non-structural), spatial location (e.g., envelope vs. interior), or database conventions—undermine consistency and comparability across LCA studies.
In response, researchers have proposed various data-driven classification models, including impact clustering and material ranking [14,19], while others have recommended using Environmental Product Declaration (EPD)-based weighting schemes to support more objective material selection [12,17].

3.4. Role of LCA in Certification and Policy

Leading international green building certification systems—such as LEED, BREEAM, and DGNB—have formally incorporated LCA as an evaluation criterion and offer credits for reducing life cycle environmental impacts [20,21]. In Europe, countries such as Denmark, France, and the Netherlands have gone further by mandating LCA submissions as part of the permitting process for new buildings [6].
However, research shows that despite LCA’s institutionalization, the absence of practical tools for material prioritization continues to hinder its effective integration into design and assessment workflows [22,23,24,25].

3.5. Practical Challenges in LCA implementation

Although LCA is widely recognized as a robust and standardized methodology, its implementation in design workflows remains challenging. Studies have identified three key barriers that limit the broader adoption of LCA beyond specialized expert groups.
First, LCA is heavily dependent on expert knowledge and specialized tools, posing high entry barriers for general practitioners—especially during the early design stage [13,18]. Expertise is required to define system boundaries, interpret results, and apply complex databases, leading to the concentration of LCA tasks within consultancy firms and reducing its accessibility to architects and engineers.
Second, uncertainty in input data and variability across databases (e.g., emission factors, EPDs) pose significant challenges [12,17]. Inconsistent data quality and the lack of region-specific values compromise both comparability and reliability, reducing confidence in LCA outputs for design decision-making.
Third, there is a lack of clear, actionable guidance for material selection based on environmental impact—particularly in early design phases. While standards such as EN 15978 and ISO 14040 provide methodological structures, they do not specify how to prioritize materials within practical time and budget constraints [14,25].
Finally, while cumulative mass-based thresholds (e.g., 99%) offer conceptual simplicity, their application in practice can be burdensome. Calculating and verifying cumulative contributions requires detailed quantity take-offs and reliable inventory data—information often unavailable during early design stages [13]. As a result, the intended simplification may become impractical without digital integration (e.g., BIM-LCA automation) or standardized material grouping.
These limitations highlight the need for user-friendly, streamlined frameworks that enable practitioners to focus on high-impact materials without requiring exhaustive analysis or exclusive reliance on expert workflows.

3.6. National Context and Research Contribution

In the Republic of Korea, the G-SEED certification system incorporates LCA reporting and is set to strengthen these requirements after 2025. However, little effort has been made to synthesize accumulated LCA data to identify consistent material contribution patterns. This lack of analysis hampers the development of a context-specific framework for classifying materials by environmental impact and limits the practical use of LCA in Korean design practice.
To address this gap, the present study analyzed 100 LCA reports submitted under G-SEED to identify 12 key materials that accounted for the majority of total material mass. Based on their functional roles, this study proposes a systematic classification framework aimed at improving embodied carbon management in both domestic and international contexts.

4. Data Collection and Analysis Result

4.1. Status of Green Building Certification and Life Cycle Assessment Reports in Korea

Similar to international green building certification systems such as LEED, BREEAM, and DGNB, South Korea has implemented its own green building certification program—G-SEED—in operation since 2002. G-SEED certification is mandatory for public buildings and is promoted in the private sector through incentives such as acquisition tax reductions and building regulation relaxations. As a result, the system has been widely adopted, with approximately 25,000 buildings certified as of 2024.
A major revision of the G-SEED framework took place in 2016, during which Life Cycle Assessment (LCA) was introduced as a formal evaluation criterion. Since then, the use of LCA in certification has gradually expanded. Table 1 presents the number of LCA reports submitted annually since the criterion’s introduction.
In the first three years, LCA adoption was limited to around 2% of certified buildings. However, this uptake has steadily increased, reaching 24% by 2024—reflecting the growing emphasis on embodied carbon assessments within Korean green building practices.
Figure 4. Comparative certified and LCA reported buildings ratio.
Figure 4. Comparative certified and LCA reported buildings ratio.
Preprints 171190 g004
As LCA reporting becomes more prevalent, a foundation for comprehensive life-cycle carbon management in buildings is being established. However, G-SEED still has several limitations inherent to LCA, including the complexity of conducting a 99% cumulative mass analysis, limited integration with LCI databases and EPDs, and insufficient verification of data completeness and consistency.
To address one of these critical limitations, this study proposes an alternative approach by identifying key construction materials using existing LCA reports. The objective is to provide a practical basis for material selection that could substitute for full cumulative mass analysis during LCA implementation. The dataset analyzed consisted of 100 LCA reports submitted under G-SEED certification (Appendix A). As shown in Table 2, the building typologies included residential, office, school, hotel, retail, and other non-residential types such as research centers, warehouses, and data centers. The structural systems are categorized as reinforced concrete(RC), RC+steel composites (RC + S), and steel-reinforced concrete (SRC).

4.2. LCA Data Analysis

A review of the BoQs for the 100 buildings was conducted. The number of BoQ items ranged from 110 to 6,259, while the number of materials actually used in the LCA reports varied from 38 to 2,473. On average, each BoQ contained 990 items, whereas the average number of materials included in the LCA was 319, representing 35.24% of total BoQ items.
However, the correlation between the total number of BoQ items and the number of LCA-selected materials was relatively weak (R² = 0.4673), indicating that variations are largely influenced by BoQ composition and the level of detail applied by LCA practitioners during material selection.
As Typically, preparing an LCA report involves: (1) An initial quantity analysis of around 990 BoQ items; (2) Selection of approximately 319 materials that cumulatively account for 99% of total material mass;(3) Collection of environmental data for each selected material.
This cumulative mass analysis presents a significant initial hurdle, which likely contributes to the limited practical adoption of LCA in design and certification workflows.
To address this challenge, this study aims to classify essential materials from the BoQ that should be prioritized in LCA, providing a more practical alternative to full cumulative mass calculations. Figure 5 illustrates the proposed simplified approach.

4.3. Quantity Breakdown in LCA

All 100 LCA reports performed a 99% cumulative mass analysis to identify which materials were assessed (Appendix B). The number of selected materials ranged from 38 to 2,473, with an average of 319 items. Collecting and linking environmental data for each material—potentially over 2,473 data points per project—is impractical. Therefore, it is common practice to group similar materials into representative categories and assign shared environmental data.
In the analyzed reports, materials were typically grouped into 5 to 12 categories, with an average of eight material groups. These groupings are outlined in Table 3.
An analysis was conducted on the frequency of use of 12 major construction material categories across 100 LCA reports (Table 4). The results indicated that Concrete and Structural Steel were included in all 100 reports. Cement and Insulation were used in 98 reports, whereas Sand and Gravel were used in 95. Stone and gypsum boards were included in 63 reports, whereas Glass Products were included in 57 reports. Metal Finishes were reported in 45 cases, tiles in 35 cases, and Paints and Wall Coverings and Wood were the least frequently included, appearing in five and four reports, respectively (Figure 6).
When analyzed by quantity contribution, concrete accounted for 85.6% of the total mass, followed by cement and brick (5.5%), Structural Steel (4.6%), and Sand and Gravel (2.4%), whereas all other material categories represented less than 1% each (Figure 7).
Figure 8. Number of LCA reports using the material category .
Figure 8. Number of LCA reports using the material category .
Preprints 171190 g008
Figure 9. Mass balance average Ratio by material category.
Figure 9. Mass balance average Ratio by material category.
Preprints 171190 g009

5. Discussion

The findings of this study underscore the practical challenges and potential opportunities associated with implementing Life Cycle Assessment (LCA) within South Korea’s building sector under the G-SEED certification framework. Although LCA adoption has grown significantly—from just 2% of certifications in 2016 to 24% by 2024—its effective application remains constrained by complex data requirements and methodological hurdles.

5.1. Practical Barriers to LCA Implementation

The analysis highlights major barriers to LCA adoption in Korean building projects. While a typical BoQ includes nearly 990 items, the average LCA report includes only 319 items, accounting for roughly 35% of the BoQ. This illustrates the resource-intensive and time-consuming nature of conducting a comprehensive 99% cumulative mass analysis.
The weak correlation between BoQ size and LCA material count (R² = 0.4673) suggests a lack of standardization in material selection, often relying on practitioner discretion rather than objective criteria—echoing findings from international literature [13,14]. This complexity, especially during early design phases when detailed take-offs and environmental datasets are unavailable, discourages broader adoption of LCA. Similar limitations have been observed in LEED and BREEAM systems, where early-stage tools lack guidance for practical material prioritization [27,28].

5.2. Dominance of Key Material Categories

The frequency analysis confirms a strong Pareto effect: a small number of materials accounts for the majority of environmental impacts. Concrete alone contributes 85.6% of total mass, followed by cement and bricks (5.5%), structural steel (4.6%), and aggregates (2.4%). Other materials—such as glass, insulation, and finishes—each contribute less than 1% by mass, although they may exhibit high environmental intensity per unit mass. These results are consistent with international studies on embodied carbon distributions [10,14].

5.3. Implication for G-SEED and Global Certification Frameworks

The current G-SEED requirement for a 99% cumulative mass analysis could be effectively replaced by assessing 12 predefined material categories. This simplification would significantly reduce data demands, supporting wider adoption of LCA in both certification workflows and early design phases.
This approach is aligned with international trends promoting streamlined LCA protocols, as advocated by recent European initiatives and ISO-based guidelines. For instance, EN 15978 permits scenario-based assessments when detailed data are unavailable, while LEED v5 emphasizes early-stage carbon considerations via predefined assemblies. By incorporating similar principles, G-SEED could improve comparability with global standards while maintaining methodological robustness.

5.4. Policy and Industry Recommendations

The analysis highlights the significant barriers to LCA adoption within the Korean building sector. A typical BoQ includes approximately 990 items, whereas an LCA report averages 319 items, reflecting an approximate

6. Conclusions

This study analyzed 100 LCA reports submitted under the G-SEED certification system to identify patterns in material contributions and develop a simplified classification framework to support LCA implementation. The results revealed that 12 material categories, dominated by concrete, structural steel, and cement, consistently represented over 99% of the total material mass.
By predefining these categories, the proposed framework reduces the complexity of cumulative mass analysis and facilitates broader adoption of LCA across the industry. Beyond improving methodological efficiency, this framework enables more targeted applications of low-carbon materials across both structural and non-structural components, including building envelopes and finishes.
Such targeted material strategies are essential for achieving national and global carbon neutrality goals, especially as embodied emissions increasingly dominate the life cycle impacts of high-performance buildings.
However, a key limitation remains: current LCA practices in Korea are largely confined to building structures, excluding civil engineering works and MEP (Mechanical, Electrical, and Plumbing) systems. Future efforts should focus on integrating these components into a comprehensive sector-wide assessment to realize full life cycle carbon reductions.
By combining empirical evidence with a practical classification model, this study contributes to the advancement of LCA as a strategic tool supporting policy development, certification system enhancement, and industry-wide adoption of sustainable, low-carbon materials.

Author Contributions

Conceptualization, S.S.; methodology, S.S.; validation, S.S.; investigation, K.T.; resources, K.T.; data curation, S.S.; writing—original draft preparation, S.S.; writing—review and editing, K.T.; visualization, S.S.; supervision, P.J.; project administration, C.C.; funding acquisition, C.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government (MOTIE) (No.RS-2021-KP002462).

Data Availability Statement

The original contribution presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

We acknowledge the suggestions of two anonymous supporters who helped to improve this manuscript. The analysis and results described in this paper are part of the PhD research of Sungmo Seo at Chung-ang University and Korea institute of Civil Engineering and Building Technology, supervised by J. Park. And C. Chae. The authors would like to thank N. Kim for providing help with data support.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

LCA Life Cycle Assessment
G-SEED Green Standard for Energy and Environmental Design
GHG Green House Gas
LEED Leadership in Energy and Environmental Design
BREEAM Building Research Establishment Environmental Assessment Method
DGNB Deutsche Gesellschaft für Nachhaltiges Bauen
BoQ Bill of Quantities
EPD Environmental Product Declaration
LCI Life Cycle Inventory

Appendix A. Detail Information of 100 LCA Projects

9 Structure type Gross Floor Area Number of Materials in Bills of Quantity Number of Materials used in LCA Reporting Reporting Ratio
R1 RC 3,881 1,958 444 22.68%
R2 RC 4,240 567 82 14.46%
R3 RC 7,919 1,129 424 37.56%
R4 RC 8,689 405 132 32.59%
R5 RC 11,793 464 158 34.05%
R6 RC 18,918 717 273 38.08%
R7 RC 35,128 601 426 70.88%
R8 RC 40,330 750 160 21.33%
R9 RC 42,725 821 438 53.35%
R10 RC 44,925 702 316 45.01%
R11 RC 48,073 985 453 45.99%
R12 RC 68,601 1,093 313 28.64%
R13 RC 97,490 6,259 2,473 39.51%
R14 RC 111,278 1,317 495 37.59%
R15 RC 180,254 5,984 602 10.06%
R16 RC 181,976 570 175 30.70%
R17 RC 292,294 1,093 306 28.00%
R18 RC 466,221 2,056 825 40.13%
R19 RC 70,872 2,582 762 29.51%
R20 RC 86,905 2,047 750 36.64%
Non-R1 SRC 2,218 110 38 34.55%
Non-R2 RC 2,307 180 86 47.78%
Non-R3 SRC 3,058 515 132 25.63%
Non-R4 SRC 3,666 697 255 36.59%
Non-R5 RC 5,196 609 207 33.99%
Non-R6 RC 5,296 434 116 26.73%
Non-R7 RC 6,039 711 224 31.50%
Non-R8 SRC 6,110 295 111 37.63%
Non-R9 RC 6,529 1,702 796 46.77%
Non-R10 RC 6,529 473 182 38.48%
Non-R11 SRC 6,691 747 290 38.82%
Non-R12 SRC 6,876 769 261 33.94%
Non-R13 RC 7,022 444 153 34.46%
Non-R14 RC 7,198 523 150 28.68%
Non-R15 SRC 7,225 751 232 30.89%
Non-R16 RC 7,450 399 104 26.07%
Non-R17 SRC 8,029 617 182 29.50%
Non-R18 RC 8,592 693 236 34.05%
Non-R19 RC 15,155 1,105 278 25.16%
Non-R20 SRC 15,258 981 448 45.67%
Non-R21 RC 17,621 572 199 34.79%
Non-R22 RC 19,680 328 95 28.96%
Non-R23 RC 20,099 522 89 17.05%
Non-R24 SRC 22,126 333 133 39.94%
Non-R25 RC 28,104 663 191 28.81%
Non-R26 SRC 32,635 897 350 39.02%
Non-R27 SRC 36,501 451 122 27.05%
Non-R28 RC 40,476 437 136 31.12%
Non-R29 RC 55,391 1,327 443 33.38%
Non-R30 SRC 55,887 817 241 29.50%
Non-R31 RC 56,633 638 134 21.00%
Non-R32 RC 57,559 3,171 1,009 31.82%
Non-R33 RC 59,402 326 121 37.12%
Non-R34 RC 70,628 896 168 18.75%
Non-R35 SRC 130,144 2,116 393 18.57%
Non-R36 RC 205,243 658 298 45.29%
Non-R37 RC 216,096 1,495 568 37.99%
Non-R38 RC 259,223 632 228 36.08%
Office1 RC 3,677 433 138 31.87%
Office2 RC 4,078 128 44 34.38%
Office3 RC 4,243 302 285 94.37%
Office4 SRC 4,449 878 345 39.29%
Office5 RC 4,993 489 118 24.13%
Office6 RC 5,601 514 209 40.66%
Office7 RC 5,757 897 363 40.47%
Office8 RC 8,904 423 162 38.30%
Office9 RC 9,467 986 572 58.01%
Office10 RC 10,103 487 120 24.64%
Office11 RC 11,466 623 247 39.65%
Office12 RC 13,019 849 408 48.06%
Office13 RC 15,328 682 250 36.66%
Office14 RC 17,226 759 198 26.09%
Office15 RC 17,881 374 111 29.68%
Office16 RC 18,601 779 222 28.50%
Office17 RC 18,945 580 164 28.28%
Office18 RC 19,171 626 103 16.45%
Office19 RC 21,554 1,285 341 26.54%
Office20 RC 21,736 1,043 456 43.72%
Office21 RC 25,653 941 377 40.06%
Office22 RC 25,694 1,091 469 42.99%
Office23 RC 25,950 457 221 48.36%
Office24 SRC 31,785 1,861 748 40.19%
Office25 SRC 33,420 1,242 433 34.86%
Office26 RC 38,361 880 305 34.66%
Office27 SRC 41,723 1,120 240 21.43%
Office28 RC 44,991 728 321 44.09%
Office29 RC 47,919 959 381 39.73%
Office30 RC 53,705 902 417 46.23%
Office31 RC 58,089 854 434 50.82%
Office32 SRC 197,057 2,145 345 16.08%
Office33 SRC 302,472 5,984 784 13.10%
School1 RC 8,941 537 259 48.23%
School2 SRC 9,657 577 165 28.60%
School3 SRC 17,261 406 114 28.08%
School4 RC 18,724 494 305 61.74%
School5 RC 30,380 715 190 26.57%
School6 SRC 61,464 387 161 41.60%
Hotel1 RC 10,890 519 248 47.78%
Hotel2 RC 14,740 791 296 37.42%
Retail SRC 125,563 1,114 464 41.65%
Average - 48,030 990 319 35.24%
*R: Residential building, Non-R: Non-residential building.

Appendix B. Detail Quantity of Major Construction Components

Building Type Number of Major Components Quantity of Major Construction Components in LCA Building (ton)
Concrete Structural Steel Metal Finish Cement & Brick Wood Glass Insulation Gypsum Sand & Gravel Stone Material Tiles Paint & Cover
R1 7 11,550.6 627.4 - 629.0 - - 3.0 72.7 160.0 273.9 - -
R2 8 10,419.6 379.2 - 212.0 - 160.0 33.2 84.5 636.4 148.6 - -
R3 7 19,798.4 915.6 - 1,444.2 - 85.7 115.5 - 654.4 115.3 - -
R4 6 26,949.1 1,298.8 - 631.9 - - 130.3 - 848.0 588.4 - -
R5 7 24,603.1 1,054.7 - 3,324.6 - - 246.0 162.1 193.6 262.9 - -
R6 8 45,047.8 1,697.0 - 4,166.8 - - 429.8 171.9 3,127.0 277.5 144.7 -
R7 5 44,584.1 1,420.6 - 3,470.1 - - 122.2 - 5,018.0 - - -
R8 8 66,019.6 2,710.9 - 5,476.0 - 272.4 185.5 741.8 2,270.4 - 326.8 -
R9 6 106,936.2 3,047.0 - 3,297.0 - - 139.2 477.6 2,775.9 - - -
R10 6 117,832.7 4,608.4 - 5,737.6 - - 49.9 515.3 8,566.3 - - -
R11 7 103,184.2 5,358.6 - 7,000.8 - 350.1 114.7 427.5 2,298.1 - - -
R12 7 131,556.2 4,010.5 - 14,148.6 - - 165.7 974.5 8,616.0 813.3 - -
R13 8 216,451.9 7,411.4 - 12,819.0 643.7 711.8 302.1 - 1,504.5 1,408.2 - -
R14 8 268,557.2 9,030.0 - 24,973.0 281.5 983.1 2,354.4 - 6,915.2 - 1,302.2 -
R15 6 412,359.1 13,917.4 - 26,788.0 - - 518.5 1,607.6 22,974.8 - - -
R16 7 409,249.9 13,770.6 - 24,153.5 - 3,008.8 507.6 - 11,779.7 1,886.3 - -
R17 6 542,944.9 24,678.0 - 79,196.1 - 3,627.5 536.2 - 11,951.3 - - -
R18 8 869,306.9 28,692.0 - 82,918.1 - - 546.9 4,498.9 13,686.4 27,523.5 4,033.1 -
R19 8 21,044.1 1,180.2 - 1,206.5 - 129.2 72.0 203.1 341.2 - 150.4 -
R20 6 42,638.3 1,992.5 - 3,106.8 - - 267.6 - 2,073.6 398.0 156.2 -
Non-R1 5 7,054.2 447.4 43.7 456.5 - - 34.4 47.5 244.2 38.0 - -
Non-R2 6 8,823.5 409.4 46.1 345.1 - 31.2 45.9 73.0 1,212.7 440.7 - -
Non-R3 8 11,168.8 495.6 - 717.4 - - 31.8 56.9 800.8 214.0 - -
Non-R4 9 11,824.3 552.2 - 1,392.3 - 37.7 14.1 - 576.0 42.2 44.9 -
Non-R5 7 12,472.9 743.9 - 410.5 - - 41.2 75.6 468.8 263.6 - -
Non-R6 8 14,768.3 837.2 - 655.5 - - 22.0 - 317.4 - - -
Non-R7 7 35,229.1 2,785.2 408.9 464.0 - - 195.2 - 278.9 - - -
Non-R8 5 12,263.6 925.1 179.6 217.8 - - 67.4 223.1 116.6 - - -
Non-R9 6 18,593.2 2,309.8 216.6 1,184.5 - 303.1 36.0 - 920.0 261.4 - -
Non-R10 7 14,277.9 1,230.6 164.6 497.3 - 52.4 45.5 66.7 304.6 316.7 - -
Non-R11 8 16,353.2 911.3 - 1,161.1 - 68.9 26.3 - 869.7 438.3 - -
Non-R12 9 15,963.9 797.3 98.5 637.5 - 103.7 51.7 70.9 594.4 216.0 - -
Non-R13 7 27,460.6 1,325.9 - 2,196.3 - - 61.4 94.7 915.2 128.7 - -
Non-R14 9 12,826.1 501.3 76.2 1,968.2 - - 22.5 - 2,779.8 72.2 - -
Non-R15 7 15,262.2 931.9 - 1,184.0 - 60.2 72.3 44.9 203.6 - 49.2 -
Non-R16 7 21,953.5 1,094.1 - 1,241.8 - - 38.4 - 1,043.0 145.8 - -
Non-R17 8 30,581.4 1,803.7 222.9 1,554.5 - - 27.2 205.4 1,451.0 466.9 - -
Non-R18 6 20,902.6 2,394.1 344.6 527.0 - 237.9 80.3 631.3 543.8 - 108.1 -
Non-R19 8 54,409.8 2,724.1 268.0 1,853.5 - 134.3 94.6 300.5 1,596.8 907.3 - -
Non-R20 9 45,001.8 1,964.7 - 2,841.5 - 589.3 45.1 - 1,507.2 - 151.6 -
Non-R21 9 43,828.0 1,992.0 - 828.4 - 267.6 42.0 - - 189.6 - -
Non-R22 7 47,842.3 3,489.4 727.3 1,230.2 - - 51.4 229.7 2,149.4 644.6 226.9 -
Non-R23 6 48,619.7 2,203.3 154.1 2,692.2 - 652.8 85.9 177.3 2,052.8 - - -
Non-R24 9 35,431.5 10,630.2 9,690.3 - - - 180.3 210.4 - - - -
Non-R25 8 56,449.0 2,938.1 - 16,758.5 - 422.8 33.2 604.3 1,176.9 - - -
Non-R26 5 135,944.0 5,755.1 - 1,553.2 - 774.4 76.2 - - - - -
Non-R27 7 107,169.5 6,978.1 627.7 5,702.3 - 1,191.4 131.6 1,131.0 - - 645.3 -
Non-R28 5 103,074.5 7,067.0 584.7 3,274.0 - 593.1 216.5 1,640.9 2,714.2 - 2,712.3 -
Non-R29 8 132,595.0 5,895.5 - 3,290.1 - 939.9 361.3 - 1,705.6 1,106.6 - -
Non-R30 9 108,638.2 5,625.1 704.6 6,960.6 - 523.1 349.2 1,286.7 1,460.6 1,287.0 - -
Non-R31 7 106,763.7 4,619.6 - 4,035.6 - 461.2 123.6 1,115.7 1,064.0 - - -
Non-R32 9 113,287.6 5,595.1 485.5 4,547.9 - 998.3 192.6 946.3 5,569.8 - - -
Non-R33 7 732,707.5 27,328.7 7,758.8 6,647.4 - 150.5 321.2 516.1 3,284.0 273.7 92.8 220.4
Non-R34 8 274,087.3 11,228.3 2,576.6 21,412.3 - 2,783.1 198.0 - 11,253.6 4,311.9 - -
Non-R35 11 362,299.6 16,355.9 2,164.4 26,466.6 - 3,504.6 396.4 2,649.8 - 2,276.1 - -
Non-R36 8 430,010.4 14,272.2 - 22,665.4 - 2,496.1 661.7 1,557.1 10,345.6 3,770.5 - -
Non-R37 8 174,096.0 4,757.5 - 16,766.6 - - 458.2 1,071.3 1,092.5 1,492.2 577.7 -
Non-R38 8 285,569.5 17,882.7 - 9,675.2 - - 464.7 - 9,514.2 - 684.2 -
Office1 7 10,591.5 513.2 - 151.3 - 33.3 21.8 - 313.6 127.1 - -
Office2 6 9,427.7 638.7 177.3 1,043.1 - 44.6 46.5 74.9 609.6 81.9 - -
Office3 7 11,115.8 587.7 23.9 752.4 - 77.4 30.2 7.6 1,446.0 260.3 10.8 3.7
Office4 9 14,989.1 756.3 - 1,394.2 - 108.2 20.6 59.1 523.2 838.1 102.5 -
Office5 11 13,615.0 622.6 100.3 417.4 - - 52.1 59.4 435.2 281.0 - -
Office6 9 20,511.5 1,213.9 - 538.0 - - 10.0 115.6 829.3 474.3 - -
Office7 8 17,355.8 902.4 305.2 153.3 - 92.7 122.7 275.3 306.9 182.2 - -
Office8 7 22,065.6 1,125.8 79.6 803.5 - 100.2 24.9 77.3 881.6 244.0 - -
Office9 9 25,601.3 1,288.3 - 1,998.9 - 103.0 62.1 - 1,180.4 258.6 - -
Office10 9 24,872.2 1,558.9 - 2,480.0 - - 78.1 138.9 1,305.6 - 143.6 -
Office11 7 25,893.4 1,503.9 - 3,419.7 - 121.8 63.3 205.1 1,260.8 254.9 - -
Office12 7 31,783.2 1,638.8 178.3 1,537.2 - 283.7 55.8 - 941.0 - 164.9 -
Office13 8 31,203.0 1,905.3 - 2,669.8 - - 31.1 - 1,481.3 463.7 180.7 -
Office14 8 39,456.0 2,274.8 305.0 2,390.9 - 304.7 97.9 242.0 1,759.8 274.5 206.6 -
Office15 7 39,139.1 2,154.5 - 1,689.7 - 197.5 47.7 - 1,022.4 325.5 151.2 -
Office16 10 39,869.2 1,843.6 - 1,489.1 - - 9.0 163.7 1,252.3 256.3 - -
Office17 8 50,418.8 2,157.1 - 3,707.5 - - 155.7 211.8 1,230.4 216.1 - -
Office18 7 52,069.7 3,227.6 343.0 2,908.1 - 136.5 107.1 1,185.4 522.6 - 136.5 -
Office19 7 42,688.0 2,414.1 - 1,879.4 - 187.4 38.3 - 1,545.3 346.9 - -
Office20 9 34,138.9 1,906.1 1,260.9 3,190.8 - 158.0 78.5 377.7 184.1 - 170.1 -
Office21 7 50,075.6 2,242.6 101.5 2,121.0 25.7 310.5 140.6 119.2 3,316.2 105.8 3.4 13.3
Office22 9 91,913.9 9,807.3 1,486.8 3,376.7 - - 128.9 391.0 1,901.2 827.3 - -
Office23 12 123,315.9 34,110.4 509.3 - - 799.8 191.9 1,061.0 759.0 - - -
Office24 8 82,631.6 5,514.8 568.4 1,736.8 - 979.2 162.6 857.7 2,063.4 - 276.2 -
Office25 7 60,687.6 6,413.7 422.0 2,099.5 - 975.9 - 483.9 1,500.0 434.0 81.5 18.0
Office26 9 71,364.4 3,984.7 1,160.8 3,642.5 - - 102.6 1,290.2 2,017.6 - 337.7 -
Office27 10 74,342.9 6,220.0 321.8 1,132.5 - 226.1 - - 758.4 - 218.0 -
Office28 8 71,319.7 4,180.0 495.9 12,801.0 - 334.0 213.6 - 336.1 - 272.2 -
Office29 7 100,580.6 3,794.2 386.7 17,226.8 - 444.3 291.9 - 469.6 411.1 474.6 -
Office30 8 260,850.6 18,801.1 2,625.8 6,393.8 - - 403.5 2,344.2 5,796.0 1,878.0 - -
Office31 9 451,917.6 48,016.3 6,475.1 37,597.1 - - 774.3 3,994.6 13,536.3 3,892.2 - -
Office32 8 4,961.3 289.3 - 354.1 - - 0.6 - 266.5 - - -
Office33 8 4,491.9 205.9 15.5 225.4 - - 20.4 - 122.7 - - -
School1 8 15,010.6 794.4 - 1,363.3 16.7 62.7 35.7 - 430.7 482.0 - -
School2 6 117,108.4 5,445.8 396.2 4,676.4 - - 200.4 - 2,353.6 - - -
School3 6 35,410.8 1,758.4 - 7,088.5 - - 61.1 - 2,670.4 229.4 - -
School4 7 30,123.1 1,490.8 - 1,457.5 - - 168.1 618.6 2,774.4 139.0 - -
School5 11 18,092.0 1,078.7 77.7 236.5 - 44.0 23.7 19.9 1,063.3 347.2 12.4 19.4
School6 8 143,970.8 11,197.3 - 4,451.6 - 658.2 209.9 - 7,821.4 607.6 531.5 -
Retail 8 246,470.6 19,598.9 2,373.2 5,098.0 - - 354.8 2,548.4 30,070.3 - 894.3 -
Hotel1 8 9,671.5 482.6 - 352.9 - - 23.8 24.7 395.2 155.9 - -
Hotel2 7 8,803.2 487.0 - 597.7 - - 5.2 - 743.7 46.8 - -
Average 8 98,265.6 5,237.5 477.3 6,293.6 9.7 334.9 169.0 419.1 2,767.2 674.4 157.8 2.7

References

  1. IEA & UNEP. (2025). Not just another brick in the wall: The solutions exist-Scaling them will build on progress and cut emissions fast. Global Status Report for Building and Construction 2024/2025: https://globalabc.org. https://wedocs.unep.org/20.500.11822/47214, (accessed on 28.07.2025.).
  2. Röck, M.; Saade, M.R.M.; Balouktsi, M.; Rasmussen, F.N.; Birgisdottir, H.; Frischknecht, R.; Habert, G.; Lützkendorf, T.; Passer, A. Embodied GHG emissions of buildings – The hidden challenge for effective climate change mitigation. Appl. Energy 2019, 258, 114107. [CrossRef]
  3. Moncaster, A.; Symons, K. A method and tool for ‘cradle to grave’ embodied carbon and energy impacts of UK buildings in compliance with the new TC350 standards. Energy Build. 2013, 66, 514–523. [CrossRef]
  4. Guggemos, A.A.; Horvath, A. Comparison of Environmental Effects of Steel- and Concrete-Framed Buildings. J. Infrastruct. Syst. 2005, 11, 93–101. [CrossRef]
  5. Comparison of the certification systems for buildings DGNB, LEED and BREEAM. ICDLI (International Committee of the Decorative Laminates Industry) 2019. www.icdli.com (assessed on 28.07.2025.).
  6. Barjot, Z.; Malmqvist, T. Limit values in LCA-based regulations for buildings – System boundaries and implications on practice. Build. Environ. 2024, 259. [CrossRef]
  7. Cabeza, L.F.; Rincón, L.; Vilariño, V.; Pérez, G.; Castell, A. Life cycle assessment (LCA) and life cycle energy analysis (LCEA) of buildings and the building sector: A review. Renew. Sustain. Energy Rev. 2014, 29, 394–416. [CrossRef]
  8. Dixit, M.K. Life cycle embodied energy analysis of residential buildings: A review of literature to investigate embodied energy parameters. Renew. Sustain. Energy Rev. 2017, 79, 390–413. [CrossRef]
  9. Obrecht, T.P.; Kunič, R.; Jordan, S.; Legat, A.; Roles of the reference service life (RSL) of buildings and the RSL of building components in the environmental impacts of buildings. SBE19 Graz 2019, 323, 012146. [CrossRef]
  10. Kim, T.; Lee, S.; Chae, C.U.; Jang, H.; Lee, K. Development of the CO2 Emission Evaluation Tool for the Life Cycle Assessment of Concrete. Sustainability 2017, 9, 2116. [CrossRef]
  11. Asdrubali, F.; Baldassarri, C.; Fthenakis, V. Life cycle analysis in the construction sector: Guiding the optimization of conventional Italian buildings. Energy Build. 2013, 64, 73–89. [CrossRef]
  12. Bribián, I.Z.; Capilla, A.V.; Usón, A.A. Life cycle assessment of building materials: Comparative analysis of energy and environmental impacts and evaluation of the eco-efficiency improvement potential. Build. Environ. 2011, 46, 1133–1140. [CrossRef]
  13. Wang, S.; Tae, S. Assessment of Carbon Neutrality Performance of Buildings Using EPD-Certified Korean Construction Materials. Appl. Sci. 2025, 15, 6533. [CrossRef]
  14. Kim, H.; Jang, H.; Tae, S.; Kim, H.; Jo, K. Life-Cycle Assessment of Apartment Buildings Based on Standard Quantities of Building Materials Using Probabilistic Analysis Technique. Materials 2022, 15, 4103. [CrossRef]
  15. Akbarnezhad, A.; Xiao, J. Estimation and Minimization of Embodied Carbon of Buildings: A Review. Buildings 2017, 7, 5. [CrossRef]
  16. Passer, A.; Kreiner, H.; Maydl, P. Assessment of the environmental performance of buildings: A critical evaluation of the influence of technical building equipment on residential buildings. Int. J. Life Cycle Assess. 2012, 17, 1116–1130. [CrossRef]
  17. Buyle, M.; Braet, J.; Audenaert, A. Life cycle assessment in the construction sector: A review. Renew. Sustain. Energy Rev. 2013, 26, 379–388. [CrossRef]
  18. Lasvaux, S.; Schiopu, N.; Habert, G.; Chevalier, J.; Peuportier, B. Influence of simplification of life cycle inventories on the accuracy of impact assessment: application to construction products. J. Clean. Prod. 2014, 79, 142–151. [CrossRef]
  19. Barbhuiya, S.; Das, B.B. Life Cycle Assessment of construction materials: Methodologies, applications and future directions for sustainable decision-making. Case Stud. Constr. Mater. 2023, 19. [CrossRef]
  20. Collinge, W.; Thiel, C.; Campion, N.; Al-Ghamdi, S.; Woloschin, C.; Soratana, K.; Landis, A.; Bilec, M. Integrating Life Cycle Assessment with Green Building and Product Rating Systems: North American Perspective. Procedia Eng. 2015, 118, 662–669. [CrossRef]
  21. Ferreira, A.; Pinheiro, M.D.; de Brito, J.; Mateus, R. A critical analysis of LEED, BREEAM and DGNB as sustainability assessment methods for retail buildings. J. Build. Eng. 2023, 66. [CrossRef]
  22. Pomponi, F.; Moncaster, A. Embodied carbon mitigation and reduction in the built environment – What does the evidence say?. J. Environ. Manag. 2016, 181, 687–700. [CrossRef]
  23. Onososen, A.; Musonda, I. Barriers to BIM-Based Life Cycle Sustainability Assessment for Buildings: An Interpretive Structural Modelling Approach. Buildings 2022, 12, 324. [CrossRef]
  24. Ebeh, C. O.; Okwandu, A. C.; Abdulwaheed, S. A.; Iwanyanwu, O. Life Cycle Assessment (LCA) in Construction: Methods, Applications, and Outcomes. International Journal of Engineering Research and Development 2024, 20(8), 350-358. https://ijerd.com/paper/vol20-issue8/2008350358.pdf,(accessed on 28.07.2025.).
  25. Parece, S.; Resende, R.; Rato, V. Stakeholder Perspectives on BIM–LCA Integration in Building Design: Adoption, Challenges, and Future Directions. Build. Environ. 2025. [CrossRef]
  26. Dodoo, A.; Gustavsson, L.; Sathre, R. Lifecycle carbon implications of conventional and low-energy multi-storey timber building systems. Energy Build. 2014, 82, 194–210. [CrossRef]
  27. Kumar, D.; Maurya, K.K.; Mandal, S.K.; Mir, B.A.; Nurdiawati, A.; Al-Ghamdi, S.G. Life Cycle Assessment in the Early Design Phase of Buildings: Strategies, Tools, and Future Directions. Buildings 2025, 15, 1612. [CrossRef]
  28. Anyanya, D.; Paulillo, A.; Fiorini, S.; Lettieri, P. Evaluating sustainable building assessment systems: a comparative analysis of GBRS and WBLCA. Front. Built Environ. 2025, 11. [CrossRef]
Figure 5. LCA reporting material ratio from BoQ.
Figure 5. LCA reporting material ratio from BoQ.
Preprints 171190 g005
Figure 6. Correlation between BoQ and LCA materials.
Figure 6. Correlation between BoQ and LCA materials.
Preprints 171190 g006
Figure 7. Proposed workflow diagram.
Figure 7. Proposed workflow diagram.
Preprints 171190 g007
Table 1. G-SEED certification and LCA reporting status.
Table 1. G-SEED certification and LCA reporting status.
Year Num of Certification Num of LCA Reporting LCA reporting Ratio
2016 1,639 - -
2017 1,765 6 0.34%
2018 2,000 38 1.90%
2019 2,169 118 5.44%
2020 2,324 241 10.37%
2021 2,383 377 15.82%
2022 2,319 448 19.32%
2023 2,509 565 22.52%
2024 2,381 576 24.19%
Total 19,489 2,369 12.16%
Table 2. Analysis building case.
Table 2. Analysis building case.
Number of Buildings (Total 100)
Building Type Residential 20
Non-residential 38
Office 33
School 6
Hotel 2
Retail 1
Structural Type RC 76
RC+S 10
SRC 14
Table 3. Categorize of major construction materials.
Table 3. Categorize of major construction materials.
Material Category Examples Functional Role
Concrete (Ready-mixed) Normal-strength, high-strength concrete Primary structural component
Structural Steel Deformed bars, welded wire mesh, H-beams, columns, steel framing Structural reinforcement and system (steel buildings)
Metal Finishes Aluminum & steel plates Non-structural finishes, facade
Cement & Bricks Mortar cement, solid bricks Masonry walls, partitions
Wood Structural timber, plywood Structural timber, Internal reinforcement, finishes
Glass Products Single-pane, double-pane, Low-E glass Windows, facades
Insulation Materials EPS, XPS, glass wool, urethane foam Thermal insulation
Gypsum Board Drywall panels Interior wall finishes
Sand and Gravel Fine aggregate, coarse aggregate Concrete mix, bedding material
Stone Materials Natural stone, marble, granite Exterior and interior finishes
Tiles Ceramic tiles, porcelain tiles Flooring, wet area finishes
Paint and Wall Covering Emulsion paints, wallpapers Interior finishing
Table 4. Adoption Ratio of Major Construction Materials.
Table 4. Adoption Ratio of Major Construction Materials.
Material Category Number of LCA Reports using
the Material Category
Mass Balance
Average Ratio
1 Concrete (Ready-mixed) 100 85.6%
2 Structural Steel 100 4.6%
3 Metal Finishes 45 0.4%
4 Cement & Bricks 98 5.5%
5 Wood 4 0.0%
6 Glass Products 57 0.3%
7 Insulation Materials 98 0.1%
8 Gypsum Board 63 0.4%
9 Sand and Gravel 95 2.4%
10 Stone Materials 63 0.6%
11 Tiles 35 0.1%
12 Paint and Wall Covering 5 0.0%
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2026 MDPI (Basel, Switzerland) unless otherwise stated