Integrated Life Cycle Assessment Research Articles

A sound insulation prediction tool and LCA: A comparative study considering different wooden assemblies

This paper aims to develop an acoustic design methodology for CLT floor assemblies using artificial neural networks approach by integration of life cycle assessment (LCA). 72 Lab-based measurements are used to develop the acoustic prediction tool. They are related to 29 different CLT-based floor assemblies. The weighted sound reduction index (Rw), and the weighted normalized impact sound pressure level (Ln,w) are estimated with an accuracy of 2 dB. Then a LCA study is conducted on assemblies that are used to test the network model. The acoustic performance and their environmental impacts are compared to highlight trends that may guide decision-makers in the design phase. This paper initially found that CLT-based floor assemblies generally increase the environmental impacts to achieve better acoustic insulation. However, a good sound attenuation can be reached by selecting suitable acoustic solutions.

Transforming the feeding regime towards low-input increases the environmental impact of organic milk production on a case study farm in central germany

Abstract Purpose Despite the direct effect of the feeding regime on the environmental impacts of dairy farming systems, its level of intensity, particularly in organic systems, has rarely been investigated. This study compares the environmental impact of a high-input feeding regime with a grassland-based, low-input feeding regime scenario within an organic milk production system conducted on Gladbacherhof, the research farm of Justus Liebig University Giessen, in Central Germany. Methods An integrated Life Cycle Assessment (LCA) analysis was performed from a cradle-to-farm gate perspective to quantify five environmental impacts, namely Global Warming (GW), Non-Renewable Energy Use (NREU), Land Use (LU), Terrestrial Acidification (TA), and Freshwater Eutrophication (FE). All agronomic data of the Gladbacherhof research farm, averaged over the years 2010–2017, were included. When not directly measured on the farm, ecoinvent data were included. Results and discussion Contrary to our hypothesis, the results suggest that a grassland-based low-input system has a higher environmental impact as compared to a high-input system for each of the five impact categories when using fat and protein-corrected milk (FPCM) as the functional unit. A 50% reduction in concentrates and exclusion of maize silage from the feed ration in the modelled low-input production system lead to a 20% drop in milk yield. To balance the energy content in low-input feeding ration, longer grazing period and higher amount of hay, alfalfa, and grass silage are required. This in turn results in higher emissions from enteric fermentation, manure management, and feed production and hence in higher environmental impact, particularly for GW, TA, and FE. Conclusions This study is one of the few that directly explores the environmental impact of feeding intensity in an organic milk production system. Nevertheless, there is a lack of research on consolidated emission factors for several greenhouse gas (GHG) sources in organic livestock and cropping systems to perform more robust carbon footprint calculations that comply with the Intergovernmental Panel on Climate Change (IPCC) Tier 3 GHG reporting guidelines. To generalize the results at the regional or national scale, direct comparisons with a larger number of organic farms representative of high-input and low-input intensities are still essential.

Integrating life cycle assessment and multi criteria decision making analysis towards sustainable cocoa production system in Indonesia: An environmental, economic, and social impact perspective

Sustainable Cocoa production practices should be investigated comprehensively to address sustainability requirements and mitigate Cocoa production issues in Indonesia. This study aims to identify the sustainable Cocoa production system considering the environmental, economic, and social impacts. Life cycle framework and multicriteria decision-making (MCDM) were integrated to obtain the study's objectives by comparing Cocoa monocropping system (CM) and Cocoa intercropping systems (IC). The result indicated that in the environmental sustainability aspect, the monocropping system (CM) showed higher performance as indicated by the lower environmental impact in all indicators; for example, CM emitted a lower Global Warming Potential (GWP) that has a lower margin of 34.5–55.9 % compared to the intercropping system (IC-I and IC-II). In the economic aspect, both on the short-term and long-term analysis, the Cocoa intercropping system (IC-II) generated higher value-added and economic feasibility, with a higher profit margin of 150–205 % compared to CM and IC-1. Along with the increase of economic benefits in IC II, this system also significantly provides social benefits, as presented by the higher social index margin of 4.9–23.7 % compared to other systems. Furthermore, by applying decision-making analysis, the result determines the highest index on the Cocoa intercropping system II (IC-II). These findings highlight that applying the intercropping system II is recommended to overcome the cocoa issue at the farmer and decision-maker levels. Additionally, the proposed method that combined LCA-MCDM can be applied to another agricultural commodity to achieve sustainable agriculture production.

The Environmental Footprint of Available Food Waste in Young Households: A Diary Case Study of Schleswig-Holstein (Germany)

As households contribute significantly to food waste, it can be assumed that they bear considerable responsibility for the environmental footprint of it. In Germany, household food waste comprises over half of all food loss and waste, with a notable share attributable to young people. To explore their environmental footprint, data from fifty young households in Schleswig-Holstein, northern Germany, is analyzed using the Food Loss and Waste Value Calculator with an integrated life cycle assessment. We evaluate the environmental footprint of animal and plant food waste across five categories: climate change, water scarcity footprint, soil quality index, phosphorus and nitrogen eutrophication. Surprisingly, animal food waste, though representing only 18% of the total volume of all available food waste in our study, exhibits a more substantial impact in all categories except water scarcity. Specifically, animal food waste is found to be an important factor in soil degradation. Our results generally indicate an inverse relationship between the volume of animal-based and plant-based food waste in young households and its environmental footprint. However, the case study highlights a troubling connection between plant food waste and significant water scarcity issues in European agriculture.

Optimizing the greenhouse gas emissions of waste transfer and transport: An integration of life cycle assessment and vehicle routing problem

This study presents a comprehensive analysis of greenhouse gas (GHG) emissions associated with waste transfer and transport, incorporating derived leachate treatment—a factor often overlooked in existing research. Employing an integration model of life cycle assessment and a vehicle routing problem (VRP) methods, we evaluated the GHG reduction potential of waste transfer and transport system. Two Chinese counties with different topographies and demographics were selected, yielding 80 scenarios that factored in waste source separation as well as vehicle capacity, energy sources, and routes. The functional unit (FU) is transferring and transporting 1 tonne waste and treating derived leachate. The GHG emissions varied from 12 to 39 kg CO2 equivalent per FU. Waste source separation emerged as the most impactful mitigation strategy, not only for the studied system but for an integrated waste management system. Followings are the use of larger capacity vehicles and electrification of the vehicles. These insights are instrumental for policymakers and stakeholders in optimizing waste management systems to reduce GHG emissions.

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.

Life cycle assessment and multi-criteria decision-making for sustainable building parts: criteria, methods, and application

Abstract Purpose Sustainable building design relies heavily on building parts, with crucial consideration for climate and environmental impact. Due to numerous criteria and diverse alternatives, employing multi-criteria decision-making (MCDM) to choose the best alternative is essential. Yet, relevant criteria and suitable MCDM methods for life cycle-based building planning still need to be determined. This study highlights prevalent environmental criteria and offers guidance on MCDM approaches for sustainable building parts. Methods This study introduces an innovative approach by integrating life cycle assessment and MCDM. This provides comprehensive decision support for planners. A systematic literature review identifies environmental criteria for building parts and is validated in expert workshops. Thus, the relevance of criteria across the building life cycle is established. Furthermore, the study analyzes MCDM approaches in the built environment. From this, the study employs and evaluates the Analytical Network Process (ANP) and Analytical Hierarchy Process (AHP) in a case study. Thereby, it offers insights into effective decision-making methodologies for sustainable building practices. Results This research categorizes environmental criteria for building parts and buildings into emissions, energy, resources, and circularity. Among 26 building part-related criteria, the global warming potential is highlighted. While the AHP is widely used in MCDM, a standardized method in planning processes is yet to emerge. Applying the ANP and AHP reveals similar rankings for the best and worst alternatives in a case study focused on selecting the optimal ceiling structure. Ribbed or box slab ceiling constructions are favored over reinforced concrete and composite timber-concrete constructions. Conclusions This study presents a novel method for life cycle-based MCDM challenges, identifying key environmental criteria. While material correlations exist, evaluating building parts demands simultaneous consideration of multiple criteria. Future research aims to compare further MCDM methods regarding their applicability, transparency, and ranking to enhance decision-making in sustainable construction. These investigations are essential for refining decision-making processes in the built environment, ensuring effective and transparent sustainability planning approaches.

Circular battery production in the EU: Insights from integrating life cycle assessment into system dynamics modeling on recycled content and environmental impacts

AbstractThe European Union (EU) Battery Regulation aims to establish a circular battery production and sets minimum battery material recycled targets for new batteries from post‐production and post‐consumer waste batteries. However, it is uncertain whether these targets can be met due to dynamic market developments and if their compliance results in environmental benefits. Therefore, this study examines the circular battery production in the EU and its impact on material flows and the environment from a market perspective. We combined a system dynamic market model with process models for battery production and recycling, using prospective life cycle assessment. According to our analysis, the projected amount of post‐consumer waste alone may not meet the specified levels of recycled materials due to long battery lifetimes. Thereby, the targets for cobalt are particularly ambitious, with a gap of between 9.8 and 14.6 percentage points for most scenarios. In the case of reduced battery lifetimes, the achievable recycled content across all materials increases by more than 75% in 2032 and by more than 85% in 2037. The avoidance of post‐production waste leads to 9% lower greenhouse gas (GHG) emissions compared to recycling with 100% recycling efficiency. Thus, attributable amounts of post‐production waste and unfavorable prolonged use of batteries create misguided incentives to meet legal targets. Additionally, the delay between production and recycling limits the potential for circular production as this depends significantly on market conditions. Our study highlights, that besides recycling, the industry should especially advance production processes including upstream material extraction and refinement to reduce environmental impacts.

Integrated life cycle assessment with the ReSOLVE framework for environmental impacts mitigation in mushroom growing: The case in Lam Dong province, Vietnam

In recent decades, cleaner production has received increasing attention since it can contribute to achieving the United Nations Sustainable Development Goals (SDGs), including poverty reduction, sustainable consumption and production, and climate change mitigation. This study aims to use the Life Cycle Assessment-ReSOLVE method to find and quantify the main environmental impacts that happen along the production chain. It will also look at how each production stage contributes to these effects and then discuss ways to fix these problems using the circular economy approach and the ReSOLVE framework in the case study. Although this study used a mushroom-growing facility in the Central Highlands of Vietnam as a case study, the approach can be applied to other industries and countries worldwide. The LCA helped identify environmental hotspots, which were areas with significant environmental impact. The data on these hotspots were used to evaluate the ReSOLVE framework to determine appropriate circular practices for improving mushroom cultivation's environmental impacts. The results showed that electricity consumption and plastic baskets are the primary hotspots for environmental impacts, especially greenhouse gas emissions. Greenhouse gas emissions while growing shiitake mushrooms (Lentinula edodes) were 2.38 kg CO2e/kg mushroom, of which energy use contributes to 72.87% of the emissions. The evaluation findings obtained from the ReSOLVE framework indicate that the facility is now implementing 17 out of 42 circular practices. The facility significantly prioritizes process optimization, implementing eight practices, and places a strong emphasis on regeneration, implementing five practices. According to the study's findings, practitioners should adopt this approach to support businesses in achieving sustainable development. Practitioners should tailor the circular practices in the ReSOLVE framework to the industry in which they evaluate and implement the suggested circular economy solutions to assess the effectiveness of using both the ReSOLVE framework and CE solutions. Moreover, this study only focused on a mushroom facility as a case study. Consequently, we want to enhance the methodology and extend this approach to other sectors in future research.

Linking the UN sustainable development goals to life cycle impact applied to a university campus

Purpose The study aims to explore the relationship between the SDGs and the environmental and social impacts of university classes. It evaluates the potential contributions of different teaching models to the SDGs, providing insights into sustainable teaching systems. Findings In-person classes exhibited hotspots in transportation and energy consumption. Scenarios I and II, involving virtual and hybrid classes, increased eutrophication potential and water scarcity due to higher food consumption, negatively impacting SDGs. However, all scenarios showed positive contributions to SDGs 2, 3, 6, 9, 11, 12, 13, 14 and 15. Design/methodology/approach This research integrates Life Cycle Assessment (LCA) with the United Nations Sustainable Development Goals (SDGs) to assess the environmental and social impacts of classes at the Federal University of São Carlos, Sorocaba campus in Brazil. Three scenarios were analyzed: (I) virtual classes, (II) hybrid classes and (III) in-person classes with improved energy efficiency. Research limitations/implications The study primarily focuses on environmental and social impacts, excluding other factors like class quality. Integrating Life Cycle Costing and Life Cycle Sustainability Assessment could provide a more holistic evaluation in the future. Practical implications The methodology adopted offers valuable insights for managing the impacts of university performance and aligning teaching systems with the SDGs. It enables institutions to make informed decisions for sustainability in education. Social implications The research emphasizes the importance of considering social impacts alongside environmental ones when assessing sustainability in educational institutions. It encourages universities to engage stakeholders in sustainability efforts. Originality/value This research innovatively combines LCA and the SDGs in the context of university education providing a replicable methodology for evaluating and enhancing sustainability in teaching systems and from a more quantitative perspective.

Machine learning-based life cycle assessment for environmental sustainability optimization of a food supply chain.

Effective resource allocation in the agri-food sector is essential in mitigating environmental impacts and moving toward circular food supply chains. The potential of integrating life cycle assessment (LCA) with machine learning has been highlighted in recent studies. This hybrid framework is valuable not only for assessing food supply chains but also for improving them toward a more sustainable system. Yet, an essential step in the optimization process is defining the optimization boundaries, or minimum and maximum quantities for the variables. Usually, the boundaries for optimization variables in these studies are obtained from the minimum and maximum values found through interviews and surveys. A deviation in these ranges can impact the final optimization results. To address this issue, this study applies the Delphi method for identifying variable optimization boundaries. A hybrid environmental assessment framework linking LCA, multilayer perceptron artificial neural network, the Delphi method, and genetic algorithm was used for optimizing the pomegranate production system. The results indicated that the suggested framework holds promise for achieving substantial mitigation in environmental impacts (potential reduction of global warming by 46%) within the explored case study. Inclusion of the Delphi method for variable boundary determination brings novelty to the resource allocation optimization process in the agri-food sector. Integr Environ Assess Manag 2024;20:1759-1769. © 2024 SETAC.

Modelling environmental life cycle performance of alternative marine power configurations with an integrated experimental assessment approach: A case study of an inland passenger barge

There is pressure on the global shipping industry to move towards greener propulsion and fuel technologies to reduce greenhouse gas emissions. Hydrogen and electricity are both recognised as pathways to achieve a net-zero. However, in the evaluation of the environmental performance of these alternative marine power configurations, conventional life cycle assessment (LCA) methods have limitations reflecting the varied nature of ship design and operational modes. The integration of LCA with experimental assessment could remedy the shortcoming of conventional approaches to data generation. The system energy demand data in this study was generated based on specific ship design and directly fed into life cycle assessment. To demonstrate the effectiveness and potential the approach was applied to a case study of inland waterway vessel. Suitable hybrid PV/electricity/diesel and hydrogen powered fuel cell systems for the case vessel were modelled; and hydrodynamic testing and dynamic system simulation was undertaken to provide ship performance data under various operational/environmental profiles. Lifecycle assessment (LCA) indicated hydrogen and electrical propulsion technologies have the potential for 85.7 % and 56.2 % emissions reduction against an MGO base case, respectively. The results highlight that implementation of both technologies is highly dependent on energy production pathways. Hydrogen systems reliant on fossil feedstocks risk an increase in emissions of up to 6.3 % against the MGO base case. Sensitivity analysis indicated an electrical system with electricity production from 79.5 % renewables could achieve savings of 82.2 % in GHG emissions compared to the MGO base case. Crucially, the results demonstrate a further development of the LCA approach which can enable a more accurate environmental performance evaluation of alternative marine power configurations considering specific ship design and operational characteristics. Ultimately this addition makes the results more meaningful for commercial operations and decision making in the selection of alternative marine power systems to support the transition to net-zero.

Carbon Management Accounting Considerations for Corporate Carbon Reduction: The Limitations and Future of Integrating Life Cycle Assessment and Material Flow Cost Accounting

Carbon Management Accounting Considerations for Corporate Carbon Reduction: The Limitations and Future of Integrating Life Cycle Assessment and Material Flow Cost Accounting

Developing a systematic framework for integrating life cycle carbon emission assessment in urban building energy modeling

Extensive research has been conducted in recent years on the environmental evaluation of building lifecycles, spanning construction, usage, and end-of-life phases. This holistic approach shows promise in assisting cities to achieve decarbonization goals, given the significant carbon emissions attributed to buildings in urban areas. Prior efforts have successfully utilized Urban Building Energy Modeling (UBEM) tools to assess city-scale building energy consumption and explore energy efficiency scenarios. However, the integration of Life Cycle Assessment (LCA) with UBEM, a robust environmental assessment approach, remains underexplored. The combination of LCA and UBEM can provide a comprehensive understanding of a building's environmental impact, considering energy performance as well as broader considerations such as materials, construction processes, and waste management. Despite the evident benefits, there exists a research gap in fully harnessing the potential of integrating LCA and UBEM methodologies. Further investigation is thus warranted to unlock the synergies between these approaches, establishing an integrated framework that enhances sustainability assessments and informs decision-making in the built environment. A systematic approach is essential to address the challenges associated with the development of a city-scale environmental tool. This entails defining the challenges, identifying key components, establishing a structured framework, and testing and refining it through iterations. The defined framework should be implemented in modeling tools that offer a compatible environment.To address this need, this study proposes a systematic approach to the development of a framework for the integration of LCA into UBEM tools. Firstly, a structured procedure is defined to facilitate the systematic creation of the integrated framework. This procedure serves as a guide for developers to adopt a comprehensive and organized approach in addressing the challenges of combining LCA and UBEM methodologies. Subsequently, a workflow is designed to accommodate the implementation of any improvement practices within the defined systematic process of integrating LCA into UBEM tools.Applying the developed workflow in a real case study in Montreal, Canada, reveals that embodied carbon emissions can actually be higher than operational emissions, when the energy supply is renewable (hydropower). The outcomes of this research are expected to provide guidance for future studies on Urban Building Environmental Assessment (UBEA), facilitating a structured approach to advance and improve the field.

Integrated Biorefinery for a Next-Generation Methanization Process Focusing on Volatile Fatty Acid Valorization: A Critical Review.

This review addresses the critical issue of a rapidly increasing worldwide waste stream and the need for sustainable management. The paper proposes an integrated transformation toward a next-generation methanization process, which leads not only to treating waste but also to converting it into higher value compounds and greener energy. Although the current and commonly used anaerobic digestion process is useful for biogas production, it presents limitations of resource exploitation and some negative environmental impacts. Focusing on the acidogenic stage in waste stream processing, the paper discusses the recent strategies to enhance the recovery of volatile fatty acids (VFAs). These acids serve as precursors for synthesizing a variety of biochemicals and biofuels, offering higher value products than solely energy recovery and soil fertilizers. Additionally, the importance of recycling the fermentation residues back into the biorefinery process is highlighted. This recycling not only generates additional VFAs but also contributes to generating clean energy, thereby enhancing the overall sustainability and efficiency of the waste management system. Moreover, the review discusses the necessity to integrate life cycle assessment (LCA) and techno-economic analysis (TEA) to evaluate the environmental impacts, sustainability, and processing costs of the proposed biorefinery.

Integrated life cycle assessment in off-grid energy system design—Uncovering low hanging fruit for climate mitigation

We perform an ex-ante life cycle assessment, integrating cradle-to-gate greenhouse gas emissions into an off-grid energy system model. By applying a multi-objective optimization, minimizing both costs and carbon dioxide equivalent (CO2e) emissions, we find the Pareto boundary between these two goals. As a case study, we chose the power supply to an astronomical observatory in Chile, using mostly solar power and energy storage in batteries and hydrogen. We compare the ex-ante study to a prior ex-post life cycle assessment, and furthermore dive into sensitivities of our model regarding component lifetimes and costs. We find (i) low-hanging fruit in lowering emissions with small cost increases, (ii) ex-ante life cycle assessments’ possibility to find less CO2e intensive power systems compared to ex-post conducted studies, (iii) a pronounced sensitivity of the optimization model on assumed lifetimes of energy storage components. This study shows the importance of including life cycle CO2e emissions into the optimization objective of energy system models. This method uncovers the environmental and economic trade-offs associated with high shares of renewable energies in off-grid energy systems.

Sustainability risk assessment in manufacturing: A Life Cycle Assessment-based Failure Mode and Effects Analysis approach

This study introduces a methodology integrating Life Cycle Assessment (LCA) with Failure Mode and Effects Analysis (FMEA) to identify and assess environmental sustainability risks in manufacturing processes in alignment with the Corporate Sustainability Reporting Directive (CSRD) and European Sustainability Reporting Standards (ESRS). In contrast to existing top-down approaches at sector and company level, this methodology specifically addresses the challenge of transitory sustainability risks in manufacturing, driven by rapid changes in regulatory frameworks and market expectations, by providing a robust and adaptable framework for comprehensive, bottom-up risk assessment directly on the manufacturing shop floor. Through a detailed literature review, the paper identifies gaps in current risk assessment methods and proposes a novel approach that enhances traditional FMEA by incorporating LCA results, thereby facilitating a comprehensive, quantitative analysis of sustainability risks. The practical application of this methodology is demonstrated through a case study, underscoring its effectiveness in real-world settings and potential for broader applications in sustainable manufacturing. The results presented in the paper also include quantitative sustainability performance benchmarks for the EU28 industrial sector, offering a strategic tool for manufacturers to improve sustainability practices, align operations with environmental standards, and mitigate transitory sustainability risks. This research contributes to the sustainable evolution of manufacturing, providing a methodological foundation for understanding and managing sustainability risks.

Life cycle assessment of an innovative alcohol-to-jet process: The case for retrofitting a bioethanol plant for sustainable aviation fuel production

This paper aims to carry out an integrated Life Cycle Assessment to evaluate the environmental performance of retrofitting an existing first-generation ethanol plant for sustainable aviation fuel production. Two scenarios are defined, considering: (i) the incorporation of an alcohol-to-jet conversion pathway into a current bioethanol plant in Spain to produce synthetic paraffinic kerosene with aromatics biofuel, and (ii) the operation of two different plants, namely, an existing bioethanol production facility and a new-build ATJ plant. Results indicate that the global warming impact associated with the retrofitting of the bioethanol facility is 44.15 gCO2eq per MJ of final fuels produced. The main GHG impact is associated with the operation of both the cogeneration system (∼42 %) and the natural gas boilers (∼25 %) to cover the heat and power requirements of the bioethanol facility. Findings concerning the climate change impact of the new-build ATJ plant exhibit analogous behavior; the GHG impact is estimated at 44.53 gCO2eq/MJfuels. Future electricity supply mixes with high shares of renewables could lead to substantially lower GHG emissions (up to 61 %) in aviation fuel production, as compared to conventional jet fuels. The replacement of natural gas with sustainable alternatives could further decrease the global warming impact up to 97 %.

An integrated life cycle assessment and energy simulation framework for residential building walling systems

Designing building wall systems is a multi-criteria problem characterised by a complex interplay of variables that drive long-term energy and environmental performance. Achieving holistic sustainability outcomes will require the application of life cycle thinking to the design and evaluation of building walling systems. However, the aspiration for minimising operational and embodied energy and mitigating the environmental impacts requires conflicting strategies. Therefore, this study proposes a comprehensive, integrated life cycle and energy simulation (ILES) methodology for analysing different walling systems of residential buildings in India and Australia. This method involves performing a process-based life cycle assessment to compute the environmental impacts of various walling materials, followed by energy modelling to evaluate the performance of these materials in the operational phase of buildings in combination with embodied energy analysis, which accounts for energy consumption during the material manufacturing phases. The results reveal that insulated cavity-clay masonry or concrete walls with extruded polystyrene are favourable Australian walling options, while metal cladding-based walling systems have significant environmental and energy burdens. For India, autoclave aerated block, fly ash bricks, and concrete block-based walling systems are recommended, while reinforced concrete and clay brick walls exhibit significant environmental and energy burdens. This study also advocates the consideration of supply chains in mitigating Scope 3 emissions from building walling systems in residential buildings.

Assessing the environmental sustainability of consumer-centric poultry chain in the UK through life cycle approaches and the household simulation model

Chicken fillets, predominantly encased in disposable plastic packaging, represent a common perishable commodity frequently found in the shopping baskets of British consumers, with an annual slaughter exceeding 1.1 billion chickens. The associated environmental implications are of considerable significance. However, a noticeable gap exists concerning the household-level ramifications of chicken meat consumption, which remains a prominent driver (165 kg CO2eyr−1 per capita) of environmental impacts in the United Kingdom (UK). This study's primary objective is to integrate Life Cycle Assessment (LCA) methodology with insights derived from a spectrum of interventions simulated within the Household Simulation Model (HHSM). The interventions that are simulated are influenced by various consumer behaviours related to the purchase, consumption, storage and disposal of chicken fillets. The overarching aim is to provide a comprehensive understanding of the environmental consequences associated with each intervention.The research encompasses eight distinct household archetypes and the UK average, with a focus on discerning differences in their environmental influence. The introduction of shelf-life extension measures leads to a reduction in the overall environmental impacts (in μPt), with reductions ranging from 1 % to 18 %. Concurrently, waste treatment's environmental burdens can be curtailed by 9 % to 69 % for the UK average. Of the 12 interventions tested, the intervention that combines a one-day extension in the shelf life of open packs and a three-day extension for unopened packs leads to the greatest reduction in environmental impacts, at 18 % for the entire process and 69 % for the waste treatment. This intervention is estimated to yield annual reductions of 130,722 t of CO2 emissions across the entire process and 34,720 t of CO2 emissions from waste treatment, as compared to the default scenario. These findings demonstrate the importance of integrating consumer behaviour, food waste, and packaging considerations within the domain of food LCA research.