Life Cycle Assessment Tool Research Articles

Environmental Assessment of Forest-Based Industry Products with CAD-Integrated LCA Tools: A Comparative Case Study of Selected Software

The study evaluates how the environmental impacts of wooden products could be assessed in the early stages of product development using CAD-integrated life cycle assessment (LCA) tools. Focusing on a wooden chair design, the study compares the environmental impact results derived from LCA tools integrated in SolidWorks, NX and Fusion against a traditional LCA analysis performed using SimaPro. Methods involve analysing a chair model to measure the environmental impacts across different life cycle phases, such as material extraction and manufacturing. The results reveal that manufacturing processes, particularly electricity use, significantly contribute to environmental impacts, especially marine and freshwater ecotoxicity. Comparisons between LCA tools integrated into commercial CAD software and SimaPro 9.5.0.1. showed that while the tools deliver comparable results for global warming potential and other categories, they struggle with certain impact categories. The main distinguishing features of the results were methodological. Overall, the results aligned the most with the impact values calculated in Solidworks Sustainability. The study concludes that CAD-integrated tools are useful for early-stage environmental assessments but have limitations, particularly in their material databases and life cycle scope. For a comprehensive assessment, combining these tools with more detailed analysis methods may be necessary. The research suggests improvements for CAD-based tools to enhance their effectiveness in evaluating the environmental impact of wooden products.

Building material reuse: An optimization framework for sourcing new and reclaimed building materials

The process of sourcing Reclaimed Construction Materials (RCMs) is predominantly manual and hindered by the limited digital presence of RCMs. However, the advancing technological landscape provides an opportunity to create a modular framework that can assess the value proposition of New Construction Materials (NCMs) and RCMs for a project before acquiring them. A field study in the Kitchener/Waterloo region inspired the development of a framework that has three underlying systems encompassing digital tools for data collection and analysis: (1) The Real Environment uses 3D scanners and a spreadsheet software, (2) The Model Environment uses Building Information Modeling (BIM) software and a Life Cycle Assessment (LCA) tool, and (3) The Core Engine uses an optimization program. Real-world data collected from RCM stores (The Habitat for Humanity) and NCM stores (The Home Depot) are used for a realistic demonstration of the framework. By practically applying the framework to source window and door components for a modeled multi-residential building design, an integrated selection of 35% RCMs and 65% NCMs was proposed for the building design. Furthermore, sensitivity analysis is also performed for validation. The framework may disrupt the ongoing building design practices that deem material reuse problematic by enabling flexible sourcing of used and new building materials. A modular and iterative framework for facilitating reuse is thus contributed.

Life cycle assessment and generative design: development of a national LCA tool for exterior walls

PurposeThe promotion of sustainable design is demanded globally. The life cycle assessment (LCA) proved its reliability in this mission, but the difficulty and time required to apply it discouraged designers. This research aims to integrate LCA into the building design process through a software tool, taking advantage of generative design features. This will facilitate decision-making by architects and construction professionals.Design/methodology/approachThe study develops the EGY-LCA (http://egy-lca.com/). This prototype tool suggests exterior wall design alternatives for residential buildings in Egypt, using the environmental impact indicators of LCA data and other criteria related to national codes, materials, construction methods and required thermal resistance. Within a generative design process, the algorithm tests every possible wall method with materials and thickness combinations for each layer in compliance with inputs. The paper begins by explaining the tool’s working method. Afterward, different sets of inputs are examined and the values of the resultant environmental impacts of several suggested wall solutions are statistically analyzed. The application demonstrates the importance of the generative design tool. Proposing several solutions based on a set of inputs facilitates the selection of sustainable choices and allows comparisons between alternatives.FindingsThe prototype experiment confirms the research hypothesis. Unlike the available LCA tools, architects can make decisions with limited LCA experience if the data and equations are integrated into a generative design tool. The prototype proves its applicability for exterior wall alternatives.Research limitations/implicationsThe prototype is the initial step toward a whole-building LCA tool. It includes limited LCA stages and materials for the external wall. Future research is required to expand this parametric tool concept to include all the building components. The framework in Section 5 proposes a visualization.Practical implicationsThe prototype tool: EGY-LCA (http://egy-lca.com/). The value added to the design and construction sectors through the uncomplicated LCA application is fostering sustainable design, generative design tools can achieve this.Originality/valueThe novelty of this work is that it is the first initiative offering a parametric LCA tool. It promotes the application of LCA at the design stage using generative design, which contributes to sustainable development.

Quality Assurance of Steel Slag Asphalt Mixtures for Sustainable Pavement Surface Courses

The present study investigates the use of electric arc furnace (EAF) steel slag, a by-product of the steel industry, in asphalt pavement surface courses instead of virgin aggregates (VAs). Therefore, a general performance evaluation of such mixtures compared to conventional mixtures is carried out through laboratory and in situ tests, while both mixtures are environmentally assessed using the life cycle assessment (LCA) tool. The results of the laboratory and in situ tests show that asphalt mixtures containing granulated EAF slag aggregates perform as well as mixtures containing only VA. In addition, the LCA results show that the use of EAF slag aggregates in the asphalt surface course has a lower environmental impact than the exclusive use of VA when it comes to the impact categories of acidification, climate change, marine and terrestrial eutrophication, energy consumption and photochemical pollution. In summary, these results show that replacing virgin aggregates with a proportion of EAF slag aggregate is a viable and sustainable method for road pavement construction.

Economic and environmental considerations for the deployment of industrial very high temperature heat pumps in European markets

Very high temperature heat pumps (VHTHP) have begun to emerge on the market during the past decade, providing an alternative to fuel-fire boilers for generating industrial process heat up to 200 °C. Large temperature lifts are common for VHTHPs, resulting in a reduced coefficient of performance (COP) compared to traditional heat pumps. Thus, the economic feasibility of operating VHTHPs becomes more dependent on local price conditions, and the environmental impact is affected by increased electricity usage. Both the economics and the environmental impact of operating industrial VHTHPs in place of fossil fuel-fired boilers in Europe are studied in this article. Discounted payback periods are estimated for the varying price conditions in Europe, and life cycle assessment tools are used to quantify the environmental impact of operating VHTHPs. Finland, Sweden, and Denmark were found to be ideal countries for VHTHP deployment, as they showcase both favorable economic conditions as well as generally small environmental impacts in the endpoint categories Human health, Climate change, and Resource usage, if local grid electricity is used. The effect on the endpoint category Ecosystem impacts was generally larger for most countries, including the aforementioned three, mostly due to the use of biomass in the electricity grid.

Assessing the environmental impact and advantages of a commercial aquaponic system in Taiwan through life cycle assessment

Taiwan highly depends on food imports and has only limited arable land available as an island. Food production is projected to decrease due to climate change, while food demand is expected to increase on account of ongoing population growth. Current agriculture practices negatively affect the environment and human health, mainly by utilizing fossil fuels, chemical fertilizers, and pesticides. Hence, the development and optimization of innovative agriculture are necessary to address the adverse effects of conventional food production systems, such as nutrient pollution, to improve sustainability.Aquaponics, the combination of hydroponics and aquaculture, potentially serves as a sustainable food production method. It has become increasingly popular in recent years, as aquaponics can have a lower environmental impact than other agriculture types. Therefore, exploring the environmental impact of local aquaponic systems can contribute to food security in Taiwan.In this regard, the current study used the life cycle assessment (LCA) tool to evaluate the environmental impact of the production of fish and lettuce in an aquaponic farm in Yilan, Taiwan. From a cradle-to-farmgate perspective, two functional units, 1 kg fish and 1 kg lettuce, were investigated.The results were compared with literature studies on traditional agriculture, hydroponics, aeroponics, and aquaculture. The LCA found that aquaponics had a higher impact in almost all categories regarding lettuce production and performed comparably to other aquaculture systems, except for showcasing higher GWP and CED. However, the analysis of environmental sustainability scenarios suggested that the environmental impact could be significantly reduced for both functional units, respectively. As shown in this study, potential reductions could be achieved by replacing fertilizer with aquaponic sludge (−23 % FWE), introducing Black Soldier Fly larvae as fish feed (−11 % MWE, −14 % LU, and − 5 % WC), and integrating a solar power system (−70 % GWP, −35 % TA & FWE, and − 16 % MWE) on the greenhouse rooftop. By implementing these sustainability measures, fish production in aquaponics would outperform most aquaculture systems considered. Therefore, aquaponics represents a promising sustainable alternative to other aquaculture systems, thus potentially contributing to Taiwan's food security.

Life cycle-based multi-objective model for optimal gaseous fuel generation and portfolio allocation in gas grids: A strategic decarbonization

Biomethane and hydrogen are acknowledged as transformative opportunities for decarbonizing the conventional gas grid. Essential to this transformation is the modeling of the gaseous fuel supply chain, particularly with hydrogen and biomethane, offering crucial insights for decision-makers. This study introduces a life cycle thinking-based multi-objective optimization model for the integrated design of biomethane and hydrogen gaseous fuel supply chain networks. The model determines optimal resource allocation for the production of the two fuels, integrating them into the conventional gas network. Moreover, it allocates conventional natural gas, biomethane, and hydrogen optimally across building, industry, and transport sectors, considering the life cycle environmental and economic performance of fuel integration paths. Objective functions include minimization of life cycle emissions and levelized cost of energy while maximizing revenue from fuel sales. Integrating life cycle assessment and cost analysis tools, the optimization model quantifies emissions and life cycle costs for biomethane and hydrogen paths. Results identify Pareto-optimal fuel production paths and portfolios, revealing that integrating the alternative fuels into the current gas grid can significantly reduce emissions (up to 250 tonCO2eq/year) and generate substantial carbon tax savings (up to $16,250/year). This model is useful for gaseous fuel industry stakeholders, offering a comprehensive view of supply chain costs and detailed insights into emission benefits when integrating alternative fuels into existing gas networks.

Assessing robustness of consequential LCA: Insights from a multiregional economic model tailored to the cement industrial symbiosis

AbstractOne of the key challenges in conducting consequential life cycle assessment (LCA) is to identify and quantify what is likely to be affected by changes in market behavior—so‐called marginal effects. Although the critical importance of uncertainty and sensitivity assessments in attributional LCA is recognized, they are rarely conducted in consequential studies. Thus, this paper aims to address two objectives: first, to examine the uncertainty and robustness of marginal effects in consequential LCA and second, to identify the most influential group of inputs contributing to the overall variance in climate change impact scores. To accomplish this, the study employs an enhanced consequential LCA framework that integrates a multiregional economic optimization model with consequential LCA tools. The framework is applied to assess the climate implications of a 6% increase in clinker substitution within average Eastern North American cement production by 2030, relative to 2020 levels. Through this framework, a Monte Carlo simulation is conducted to evaluate the dispersion of the results. Subsequently, a variance‐based one‐at‐a‐time sensitivity analysis is performed to rank the most influential groups of inputs affecting the robustness of result across macroeconomic, material flow, economic, transport, and consequential life cycle inventory databases. Afterward, a conceptual framework is proposed to guide practitioners in prioritizing areas for testing consequential LCA results based on region‐specific information. This work aims to contribute to decision‐makers' access to more reliable information to support the development of effective environmental regulatory measures.

Design and Life Cycle Assessment (LCA)-based Sustainability Evaluation of a Novel Microbial Fuel Cell (MFC)-Integrated Sequencing Batch Reactor (SBR) System

Although sewage treatment plants form one of the major environmental interventions for eco-friendly and sustainable management of domestic sanitary wastes, yet their own overall sustainability enhancement, rather than process performance assessment are seldom addressed. The sustainability study of a standard sewage treatment plant, namely Sequencing Batch Reactor (SBR) is addressed in the present research work through Life Cycle Assessment (LCA) tools using SimaPro. Following this, an attempt was made herewith to integrate a potential, yet much lesser commercially explored, wastewater management strategy, namely Microbial Fuel Cell (MFC) unto the SBR chamber, with suitable design-modification. The sustainability parameters of the resultant MFC-augment SBR system were also analysed using LCA to compare the effect of this intervention unto the said parameters. The study shows similar normalized trends of overall damage unto sewage as well as sludge, with global warming being the dominant damage cause. Human health was found to be most vulnerable category for both types of SBR’s (namely, with and without MFC), with relatively lower effect in case of MFC-augmented SBR, particularly with regard to infrastructural and short-term domains, in addition to improved water quality and lower water-footprint.

Comparative life cycle assessment (LCA) of pre-treatment technologies for desalination in South Africa

In the context of South Africa’s water scarcity, desalination has emerged as a possible solution for coastal areas. However, the quality of the intake water for desalination is often problematic, prompting the need for pre-treatment. The aim of this study was to conduct a comparative environmental life cycle assessment (LCA) on 4 seawater filtration systems intended for the pre-treatment of a reverse osmosis desalination project. These systems were implemented in a pilot trial and are based on modern water treatment technologies, namely, granular filtration (pressure driven and gravity driven), dissolved air flotation (DAF), and ultrafiltration (UF). For all 4 systems, data were collected for both the construction and operation phases, and LCAs were performed, resulting in environmental scores that allow for comparison based on the pre-treatment of 1 kL of seawater of the same quality. The SimaPro LCA tool and the ReCiPe midpoint method were used and environmental scores were calculated for 18 impact categories, including climate change, acidification, toxicity, eutrophication, resource depletion, etc. This methodology also allowed the identification of the highest environmental burdens/scores within each system. The most significant finding is that local electricity consumption is responsible for the greatest proportion of environmental impacts. Thus, the systems consuming more energy for operating equipment such as blowers, pumps, and mixers were found to have the highest environmental burdens. Hence, the DAF system has the highest environmental scores for most impacts, followed by the single-phase gravity filtration system, then the two-phase partial pressure filtration system and finally the UF system. Therefore, focus should shift towards energy optimisation of process units, especially the rotary ones, as well as energy mitigation and recovery strategies. The use of renewable energy for pre-treatment should also be considered locally.

Challenges in life cycle assessment implementation for construction environmental product declaration development: A mixed approach and global perspective

Environmental product declaration (EPD) is a valuable data source for building sustainability assessment. Life cycle assessment (LCA) is a critical element of EPD development, and it strongly impacts the reliability of the overall EPD environmental data. The increasing number of published EPDs necessitates a thorough examination of the challenges associated with LCA for EPD development to improve the quality assurance of EPDs. This study applied a mixed research approach, including a systematic literature review, focus group discussion and questionnaire survey to evaluate the challenges in LCA implementation for EPD development. The questionnaire administered to experts from 43 countries globally was analysed using qualitative and quantitative analytical techniques. The analysis showed that 73 % of the respondents are highly concerned about the data quality of LCA in EPD development. The study further revealed twenty-seven (27) significant challenges classified using exploratory factor analysis into seven groups ([1] Data Paucity, [2] Resource-intensive, [3] Data and Research, [4] Knowledge, [5] Methodological Limitations and People, [6] Technology, and [7] Data Integrity). The highly ranked challenges based on mean ranking include “Problems with data availability and quality for LCA”, “Lack of transparency in some of the existing LCA database and tools”, “Lack of country-specific inventory for LCA”, “The complexity and lack of knowledge about the uncertainty of data used in LCA” and “Lack of in-depth understanding and awareness of LCA”. The study also proposed strategies to resolve the challenges and holds vital implications for stakeholders within EPD development. In conclusion, it is observed that LCA for EPD development still faces significant challenges that require a tailored approach to improve the quality of LCA in EPD development.

Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development

The construction sector is a significant contributor to global carbon emissions and a major consumer of non-renewable resources. Architectural design decisions play a critical role in a building’s carbon footprint, making it essential to incorporate environmental analyses at various design stages. Integrating artificial intelligence (AI) and building information modeling (BIM) can support designers in achieving low-carbon architectural design. The proposed solution involves the development of a Life Cycle Assessment (LCA) tool. This study presents a novel approach to optimizing the environmental impact of architectural projects. It combines machine learning (ML), large language models (LLMs), and building information modeling (BIM) technologies. The first case studies present specific examples of tools developed for this purpose. The first case study details a machine learning-assisted tool used for estimating carbon footprints during the design phase and shows numerical carbon footprint optimization results. The second case study explores the use of LLMs, specifically ChatGPT, as virtual assistants to suggest optimizations in architectural design and shows tests on the suggestions made by the LLM. The third case study discusses integrating BIM in the form of an IFC file, carbon footprint analysis, and AI into a comprehensive 3D application, emphasizing the importance of AI in enhancing decision-making processes in architectural design.

Environmental Assessment of Municipal Solid Waste Management using Life Cycle Analysis

In this study, a Life Cycle Assessment (LCA) tool was employed to assess the environmental impact of Municipal Solid Waste Management (MSWM) in Pune, India, under four different scenarios. These scenarios included composting combined with landfilling (S1), a material recovery facility (MRF) and composting combined with landfilling (S2), MRF and anaerobic digestion (AD) combined with landfilling (S3), and MRF, AD, and composting combined with landfilling (S4). The environmental assessments have been performed by means of the LCA- based tool EASEWASTE, aimed to compare these scenarios based on their effects on global warming, human toxicity, eutrophication, and photochemical ozone creation potential categories. The results of the study showed that Scenario S2 had the least environmental impact across these categories. Furthermore, a sensitivity analysis was conducted to assess how changes in the recycling rate of valuable resources influenced the environmental burdens in all scenarios. The findings from this analysis revealed an inversely proportional relationship between changes in the recycling rate and the overall environmental impact. This research utilized LCA to evaluate the environmental implications of MSWM scenarios in Pune, India, and found that Scenario S2 was the most environmentally favourable. The sensitivity analysis highlighted the significance of recycling rates in mitigating environmental burdens in the different waste management scenarios.

Building-SAT: a whole building life cycle assessment tool framework to quantify the global warming potential of buildings in South Asian Region

Building-SAT: a whole building life cycle assessment tool framework to quantify the global warming potential of buildings in South Asian Region

Recycling Possibilities of Wood-Cement Particle Board Manufacturing Waste

Wood-cement particle boards are gaining popularity within construction materials as they combine natural fiber architectural value with Portland cement durability. The production of the material is associated with processing the produced fiberboards, which includes cutting, grinding, and polishing. The remaining wood-cement dust residues are classified as production waste, which is now deposited in the dump and gives extra expenditure for the enterprise. The utilization of wood-cement dust would also benefit the circular economy and reduce the environmental impact of the production process. Two scenarios are analyzed in this research, and the life cycle assessment (LCA) tool with SimaPro software is compared. The first scenario is associated with the partial replacement of Portland cement with wood-cement dust powder. The second scenario offers re-activation of the wood-cement dust at 450 °C to obtain binder properties. Both materials' mechanical strength is comparable, reaching 10 MPa after 28d curing. To maintain target strength, 70 % of Portland cement can be replaced. To produce 1 t of binder by heating at 450 °C, 1.2 t of wood-cement dust is needed as natural moisture evaporates, and wood dust particles go through pyrolysis, giving extra heat and CO2 emissions as well. LCA results indicate the 70% replacement of Portland cement reduces CO2 emissions from 597 kg of CO2/ton of CEM II/A-LL 42,5 to 179 kg of CO2/ton, while the second scenario is associated with high energy consumption during burning of the binder and increased CO2 value due to fossil fuel consumption and CO2 release from burning organic compounds in the material.

Structural Optimization of Trusses in Building Information Modeling (BIM) Projects Using Visual Programming, Evolutionary Algorithms, and Life Cycle Assessment (LCA) Tools

The optimal structural design is imperative in order to minimize material consumption and reduce the environmental impacts of construction. Given the complexity in the formulation of structural design problems, the process of optimization is commonly performed using artificial intelligence (AI) global optimization, such as the genetic algorithm (GA). However, the integration of AI-based optimization, together with visual programming (VP), in building information modeling (BIM) projects warrants further investigation. This study proposes a workflow by combining structure analysis, VP, BIM, and GA to optimize trusses. The methodology encompasses several steps, including the following: (i) generation of parametric trusses in Dynamo VP; (ii) performing finite element modeling (FEM) using Robot Structural Analysis (RSA); (iii) retrieving and evaluating the FEM results interchangeably between Dynamo and RSA; (iv) finding the best solution using GA; and (v) importing the optimized model into Revit, enabling the user to perform simulations and engineering analysis, such as life cycle assessment (LCA) and quantity surveying. This methodology provides a new interoperable framework with minimal interference with existing supply-chain processes, and it will be flexible to technology literacy and allow architectural, engineering and construction (AEC) professionals to employ VP, global optimization, and FEM in BIM-based projects by leveraging open-sourced software and tools, together with commonly used design software. The feasibility of the proposed workflow was tested on benchmark problems and compared with the open literature. The outcomes of this study offer insight into the opportunities and limitations of combining VP, GA, FEA, and BIM for structural optimization applications, particularly to enhance structural efficiency and sustainability in construction. Despite the success of this study in developing a workable, user-friendly, and interoperable framework for the utilization of VP, GA, FEM, and BIM for structural optimization, the results obtained could be improved by (i) increasing the callback function speed between Dynamo and RSA through specialized application programming interface (API); and (ii) fine-tuning the GA parameters or utilizing other advanced global optimization and supervised learning techniques for the optimization.

EMBODIED CARBON EVALUATION IN EARLY-STAGE DESIGN STUDENTS’ PROJECTS AS PART OF A SUSTAINABLE AND RESILIENT CURRICULUM

ABSTRACT The building industry causes 40% of global carbon emissions, out of which more than a quarter is constituted by the individual constructions’ embodied carbon. The latter figure takes into consideration not only the selection of materials, the energy needed for their production, and their renewal until the end of the building's life cycle, but also their geographic origin relative to the building's location. The scientific method used to determine this figure, the so-called Life-cycle Assessment (LCA), of new and reused constructions, occupies an important role in the way the architectural profession can address climate change. These efforts are not limited to research and practice, but include the introduction of LCA tools as part of architectural education, with the ultimate goal of establishing energy-efficiency as an intuitive component of the architect's design process. In this paper, the authors investigate the opportunities and pedagogical issues encountered over the course of a second-year undergraduate design studio, during which the life cycle assessment of embodied carbon was introduced as an integral part of the project syllabus. On the one hand, the results reveal the substantial energy-saving potential provided through the use of LCA tools, with more than 50% carbon saving potential provided through the exchange of concrete with cross-laminated timber, but on the other hand they manifest the difficulty of attracting the students’ attention for such exercises during a design studio.

Environmental Impacts Associated with the Production and Packing of Persian Lemon in Mexico through Life-Cycle Assessment

In this study, the environmental impacts associated with the intensive production of Persian lemons are assessed, including the agricultural and packing phases of the fresh fruit. A life-cycle assessment (LCA) tool was used in accordance with the ISO 14040 and 14044 standards and implemented in SimaPro PhD (9.2) software. The life-cycle inventory database was primarily composed of data collected during field visits to local lemon orchards and the main packing company in the region. The functional unit was defined as 1 kg of packed fresh Persian lemons. The selected impact categories were the carbon footprint, water footprint, and energy footprint, and the results obtained for the defined functional unit were 405.8 g CO2 eq, 40.3 L of water, and 5.9 MJ, respectively. The industrial packing phase of the fruits had a greater impact on the carbon and energy footprints, mostly due to the manufacturing of packaging materials and cardboard boxes, followed by the transportation of supplies. Regarding the water footprint, the agricultural phase was identified as the most significant contributor to water consumption, primarily attributed to maintenance operations and the application of agrochemicals.

Learning by doing using the Life Cycle Assessment tool: LCA projects in collaboration with industries

Active learning, also called "learning by doing" (LbD), has resulted in positive learning outcomes in several higher education degrees. This paper describes an LbD experience within Chemical Engineering education aiming to enhance learning and transferable competencies using a Life Cycle Assessment course as a vehicle. This compulsory course belongs to the European Project Semester (EPS) program taught in the fourth year of the Chemical Engineering Degree at the University of Cantabria. From the beginning, the activity has targeted LCA practice with a strong emphasis on performance and its application as a decision-making tool in real case studies through close collaboration with regional companies. Working in partnership with industrial companies has favoured a win-win-win situation as students could apply knowledge as future LCA specialists. In contrast, companies gained valuable insights to improve their environmental performance, and lecturers enhanced their industrial networks. A public session carried out at the end of the activity created an enriching debate on subjects from a diversity of points of view (e.g., the selection of impact categories, the proposed improvements for environmental impact reduction, etc.). According to the lecturers, the competencies acquired by students through this LbD experience in life cycle assessment have notably evolved, demonstrating not only an enhanced understanding of environmental impacts across a product life cycle but also a significant improvement in critical thinking, team collaboration, and practical problem-solving skills, thereby bridging the gap between theoretical knowledge and its application in real-world scenarios. This is in line with the student’s perception that considered, such as "problem resolution", "capacity for analysing" and synthesis and "capacity for information" management. These are essential not only for future LCA practitioners but for chemical engineers.

Comparison of Embodied Carbon Footprint of a Mass Timber Building Structure with a Steel Equivalent

The main purpose of this study is to quantify and compare the embodied carbon (EC) from the materials used or designed to build the Adohi Hall, a residence building located on the University of Arkansas campus in Fayetteville, AR. It has been constructed as a mass timber structure. It is compared to the same building design with a steel frame for this study. Based on the defined goal and scope of the project, all materials used in the building structure are compared for their global warming potential (GWP) impact by applying a life cycle assessment (LCA) using a cradle-to-construction site system boundary. This comparative building LCA comprises the product stage (including raw material extraction, processing, transporting, and manufacturing) plus transportation to the construction site (nodule A1–A4, according to standard EN 15804 definitions). In this study, GWP is primarily assessed with the exclusion of other environmental factors. Tally®, as one of the most popular LCA tools for buildings, is used in this comparative LCA analysis. In this study, the substitution of mass timber for a steel structure with a corrugated steel deck and concrete topping offers a promising opportunity to understand the GWP impact of each structure. Mass timber structures exhibit superior environmental attributes considering the carbon dioxide equivalent (CO2 eq). Emissions per square meter of gross floor area for mass timber stand at 198 kg, in stark contrast to the 243 kg CO2 eq recorded for steel structures. This means the mass timber building achieved a 19% reduction in carbon emissions compared to the functional equivalent steel structure within the building modules A1 to A4 studied. When considering carbon storage, about 2757 tonnes of CO2 eq are stored in the mass timber building, presenting further benefits of carbon emission delays for the life span of the structure. The substitution benefit from this construction case was studied through the displacement factor (DF) quantification following the standard process. A 0.28 DF was obtained when using mass timber over steel in the structure. This study provides insights into making more environmentally efficient decisions in buildings and helps in the move forward to reduce greenhouse gas (GHG) emissions and address GWP mitigation.