Current Life Cycle Assessment Research Articles

Evaluating the influence of functional unit on life cycle assessment (LCA) reliability of concrete

The linear lifecycle of concrete, from production through usage to disposal, highlights its status as one of the most carbon-, energy-, and resource-intensive processes in the industry. The development of life cycle assessment (LCA) models to quantify concrete’s embodied and buildings’ operational emissions is strongly influenced by the selection of the functional unit (FU) since it dictates the magnitude and significance of the environmental burdens from concrete and buildings' life span. The chosen FU should comprehensively capture the concrete's functionalities and construction parameters. Nonetheless, establishing a FU that encompasses spatial, temporal, and intensity aspects of cement/concrete and its applications remains a significant limitation in the practice of current LCA models. This study analyzed the FU influence on the environmental footprint of concrete samples with specific compressive strengths (material level) via LCA. The LCA was conducted in OneClick LCA using the environmental product declaration (EPD) provided by the software for each ready-mix concrete sample. From the LCA results, the C 30/37 concrete mix (lowest compressive strength) exhibited the lowest carbon footprint for all the environmental indicators when a volume-based FU was considered. In contrast, the results were more favorable for the C 65/70 concrete specimen when the compressive strength (28 curing days) was chosen because less cement is needed to achieve one MPa of strength. This behavior was also observed in the modeling of a column in a building, where the mixture with the highest compressive strength (C 65/70) showed the lowest environmental impact for all the indicators. However, this assessment does not represent the actual building system's footprint. Thus, regionally specific functional units need to be established, considering not just concrete functionalities but also national regulations, stakeholder needs, and local resource availability.

Some modeling challenges in dynamic life cycle assessment

Life cycle assessment (LCA) has been a mainstream tool to evaluate the environmental impacts of products, services, and systems. Current LCAs inherently rely on the static basis and commonly fail to include temporal considerations. To better assist in the decision-making for sustainable development, dynamic LCA has been initiated to answer more complex and interdisciplinary questions. As in its initial phase, dynamic LCA faces many modeling challenges that at the same time are meaningful research opportunities. In modeling dynamic LCA, there are several key aspects that need more attention for contribution and close collaboration across the first three phases of the LCA framework.

A Review on Navigating Sustainable Naval Design: LCA and Innovations in Energy and Fuel Choices

The naval sector holds paramount importance for the global economy, yet it entails significant environmental impacts throughout the entire life cycle of ships. This review explores the application of life-cycle assessment (LCA) in the naval sector, a methodology for evaluating the environmental impacts associated with all the life stages of a product or service. LCA analysis in the naval context is essential for identifying and mitigating environmental impacts, thus promoting more sustainable development of the sector. This work provides a comprehensive overview of current LCA applications in the naval sector, highlighting major environmental impacts, in particular focusing on greenhouse-gas emissions and climate change. Additionally, this study integrates an analysis of greenhouse-gas emissions using a normalization approach, which has enabled the comparison of various types of fuels and ships, thereby enhancing our understanding of their environmental impacts. Moreover, the limits and challenges to applying LCA in the naval sector are discussed, offering insights for future research and developments in the field. This review aims to raise awareness among policymakers, designers, and operators in the naval sector about the importance of adopting LCA for more sustainable and responsible management of naval activities, thereby contributing to the protection of the marine and global environment.

Environmental Impacts of Rice Intensification Using High-Yielding Varieties: Evidence from Mazandaran, Iran

This article aims to show the potential contribution of high-yielding rice varieties to achieve sustainable intensification in paddy farming, by focusing on a developing country. A comparative life cycle assessment of traditional vs. high-yielding varieties is carried out by comparing the area-based and yield-based results. Primary data are collected through a farm survey (49 farms in the Mazandaran province, Iran; spring 2018). The results highlight that high-yielding varieties can reduce the yield-scaled impacts. However, area-scaled impacts are subject to increase for most impact categories. Statistically significant trade-offs involve global warming potential (+13% per ha and −28% per t in high-yielding varieties) and fossil resource depletion (+15% per ha and −26% per t in high-yielding varieties). Pesticide management is the most alarming practice. High-yielding varieties increase pesticide consumption and related toxicity impacts both per t and per ha. This study is a new contribution to the literature by improving and broadening the mainstream productivity perspective of current life cycle assessment research about crop varieties. The lessons learnt from this study suggest that the trade-offs between yield-scaled and area-scaled impacts should be carefully considered by decision-makers and policymakers, especially in developing countries that, like Iran, are affected by the overexploitation of natural resources. Targeted policy and the development of farmer education and advisory services are needed to create the enabling conditions for farm management changes, including conscious use of production inputs while avoiding heuristics.

Material intensity and carbon footprint of crystalline silicon module assembly over time

The growing solar photovoltaic (PV) installations have raised concerns about the life cycle carbon impact of PV manufacturing. While silicon PV modules share a similar framed glass-backsheet structure, the material consumption varies depending on module design, manufacturer, and manufacturing year, leading to varying carbon emissions. However, current life cycle assessment (LCA) studies and public inventory databases of silicon PVs lack an assessment of the variability in commercialized solar module designs and their potential impact on module reliability and carbon footprint. The present study aims to address this research gap by providing a temporal analysis of aluminum and glass intensity in crystalline silicon modules produced from 2006 to 2021. The material inventory data is obtained from specification sheets of 167 crystalline silicon modules produced by 31 manufacturers. Subsequently, we use the collected material inventory to estimate the carbon footprint of manufacturing silicon modules in multiple countries over the past decade. The results reveal a 30% reduction in the aluminum intensity used for frames from 2010 to 2021, while the solar glass thickness remains relatively constant. Additionally, the comparison among manufacturer tiers indicates that more reliable modules tend to use more materials for module production. Moreover, the comparative life cycle assessment of modules manufactured in various countries demonstrates a significant impact of local electricity mixes on the carbon footprint of module manufacturing. Modules manufactured in China exhibit the highest carbon emissions, followed by Malaysia (4–9% lower than China), South Korea (15–16% lower than China), the US (17–18% lower than China), Thailand (19–21% lower than China), Turkey (18–21% lower than China), and Vietnam (25–30% lower than China). Overall, the present study highlights the importance of up-to-date data on material inventory and local electricity mixes in evaluating the environmental impacts associated with PV manufacturing. Lastly, we advocate for integrating the variability of module designs and manufacturing locations within low-carbon solar module criteria and guidelines, recognizing the importance of adaptability in achieving sustainable solar manufacturing.

AutoPCF: A Novel Automatic Product Carbon Footprint Estimation Framework Based on Large Language Models

Estimating the product carbon footprint (PCF) is crucial for sustainable consumption and supply chain decar-bonlization. The current life cycle assessment (LCA) methods frequently employed to evaluate PCFs often en-counter challenges, such as difficulties in determining the emission inventory and emission factors (EFs), as well as significant labor and time costs. To address these limitations, this paper presents AutoPCF, a novel auto-matic PCF estimation framework to conduct cradle-to-gate LCA for products. It utilizes deep learning models and large language models (LLMs) to automate and en-hance the estimation process. The framework comprises five stages: Emission Inventory Determination (EID), Activity Data Collection (ADC), Emission Factor Matching (EFM), Carbon Emission Estimation (CEE), and Estimation Verification and Evaluation (EVE). EID generates production processes and activity inventory, while ADC collects comprehensive activity data and EFM identifies accurate EFs. Emissions are then estimat-ed using the collected activity data and corresponding EFs. Experimental evaluations on steel, textile, and bat-tery products demonstrate the effectiveness of AutoPCF in improving the efficiency of PCF estimation. By auto-mating data collection and analysis, AutoPCF reduces re-liance on subjective decision-making and enhances the consistency and efficiency of carbon footprint assess-ments, advancing sustainable practices and supporting climate change mitigation efforts.

Life cycle assessment of higher education institutions – method and case study

Against the backdrop of climate change and resource depletion, sustainability and sustainable development has been brought in the focus of industries and organisations. To quantify the environmental impacts of products and organisations the methodology of life cycle assessment (LCA) is applied area-wide in many different sectors. The higher education sector in particular has an important role to play in sustainable development due to the multiplier role by educating the academic employees of the future. Additionally, higher education institutions (HEIs) are a relevant sector by themselves due to their size and number of employees as well as their impact on innovation and future technologies. Therefore, HEIs should be at the forefront of assessing and reducing their environmental impact. In contrast to this an analysis of the available LCAs of HEIs shows significant limitations with regards to availability of assessments as well as guidelines on assessment methodologies. To contribute to closing this gap and increase the availability of LCA information for HEIs, a guideline is developed based on current LCA standards, which contains assistance regarding the goal and scope definition, life cycle inventory and life cycle impact assessment. The guideline is applied in a case study for Leibniz Universität Hannover (LUH), one of the nine leading technical universities in Germany. Results of the case study show that the major contributors for the impact of the LUH are the transport activities, infrastructure and energy supply. In 13 of the 16 assessed impact categories, transport activities account for the largest share of potential environmental impacts, ranging from about 43% to 82%. However, the results of the case study must be considered with care as primary data availability from the LUH has been limited and therefore must be extended in the future.

Application of sensitivity analysis on building dynamic lifecycle assessment of GHG emissions: a French case study

This study presents a novel approach to simplify the dynamic life cycle assessment (DLCA) of buildings by identifying and prioritizing influential dynamic parameters (DPs) to improve building energy performance and reduce greenhouse gas emissions. Current life cycle assessment (LCA) methodologies lack temporal considerations, which can significantly impact a building’s environmental footprint over its multi-decade life span. We conducted an extensive literature review on DPs in DLCA, informing the creation of a multi-scenario parametric framework. A case study was then selected to apply the developed DLCA methodology and perform a global Sensitivity Analysis to pinpoint the most influential DPs on global warming potential. The DLCA framework integrates data from the French database for environmental product declarations and utilizes EnergyPlus simulations for operational emissions assessment. The study identifies ten DPs, revealing the most impactful ones to be industry and waste sector emissions reductions, building occupancy, and global warming. Additionally, we found minimal interactions between DPs, which facilitates the simplification of the DLCA process. This research enables building stakeholders to focus on a more selective set of parameters, enhancing the efficiency and accuracy of building life cycle assessments. Overall, our findings contribute to the continuous improvement of LCA methodologies and promote sustainable building practices.

Environmental potential of fungal insulation: a prospective life cycle assessment of mycelium-based composites

PurposeBio-based insulation materials are one of the most promising solutions for reducing the environmental impacts of building envelopes. Among these materials, the environmental benefits of mycelium-based materials have merely been investigated, despite their promising technical and thermal properties. In this paper, we perform a first prospective cradle-to-grave life cycle assessment (LCA) of mycelium-based composite blocks.MethodsAn attributional cradle-to-gate LCA of the laboratory production of mycelium-based composites was first performed, including 11 environmental impact indicators. Then, scenarios were defined to scale up the technology to the level of industrial production, including the remaining life cycle modules to perform a cradle-to-grave analysis. Biogenic and metabolic carbon were considered by applying the static −1/+1 approach and following the current LCA standards. Future-oriented energy and transport mixes were also included as an additional scenario, systematically modifying both the foreground and background data. Finally, the industrially scaled-up technology and alternative insulation materials were compared with these future conditions (as applied to both materials).Results and discussionConsidering climate change, the results are encouraging in comparison to those for traditional plastic insulation, but do not necessarily surpass those for other existing materials such as rock wool. However, trade-offs are observed in other indicators, for which mycelium-based composites tend to perform worse than traditional insulation materials. The industrial scale-up reduced impacts for most indicators, but a considerable trade-off was observed with regard to terrestrial ecotoxicity. The main driver for the remaining greenhouse gas (GHG) emissions was found to be the electricity use during the manufacturing phase. We consider the inclusion of the other life cycle stages as relevant, as this increased the GHG emissions by 10%. Limitations of the current LCA standards, however, are noted and discussed, especially regarding the cascading use of biogenic materials, and highlight the relevance of this case study.ConclusionsMycelium-based composites show a potential for future development, but careful attention should be paid to reducing electricity needs in their manufacturing process. Further improvements could also be made by using fast-growing biogenic materials as a substrate. In particular, we encourage researchers to include all of the life cycle stages in future studies, especially if biogenic emissions are considered.

Using an expert system to assess biodiversity in life cycle assessment of vegetable crops

Biodiversity loss in agricultural landscapes due to intensification of agriculture and degradation and loss of semi-natural habitats is a major issue that life cycle assessment (LCA) methods intend to address. No current LCA method is able to assess and compare impacts on the biodiversity of vegetable production systems as a function of farming practices and the local context. Based on a literature review and consultation with experts, the SALCA-BD expert system, originally designed to assess impacts on the biodiversity of cropland and grassland at field, rotation, and farm levels, was adapted to vegetable production systems. SALCA-BD is based on an inventory of the habitats found on a farm and a list of practices that can be implemented in these habitats. We distinguished an open field and a greenhouse as two distinct “level I” habitats, as a habitat’s openness favours the exchange of species with surrounding habitats. These two habitats were subdivided into “level II” habitats that corresponded to vegetable crops. Given the many types of vegetables, we used a clustering method to create a few categories that grouped vegetables that had similar potential to host biodiversity. We created a category for intercropped vegetables for fields in which multiple vegetables are grown at the same time, which is common on microfarms. We tested the expert system at field and farm levels using scenarios and a farm case study. We quantified effects of changes to individual practices and practice intensities at the field level on biodiversity. The results highlighted the importance of semi-natural habitats for preserving biodiversity, in addition to low-intensity practices, which indicates that assessment at the farm level is more informative than that at the field level. Because it considers habitats and practices in detail, SALCA-BD is useful for assessing biodiversity at field and farm levels and for comparing farming systems with the same land use and type of management (organic or conventional), which other LCA methods for assessing biodiversity cannot do. Field size, which is a driver of biodiversity, is considered indirectly only when semi-natural habitats are included. As SALCA-BD does not consider impacts of the background system, combining SALCA-BD with comprehensive methods for assessing impacts on biodiversity is a promising perspective for more complete assessment.

Sugar-to-What? An Environmental Merit Order Curve for Biobased Chemicals and Plastics.

The chemical industry aims to reduce its greenhouse gas emissions (GHGs) by adopting biomass as a renewable carbon feedstock. However, biomass is a limited resource. Thus, biomass should preferentially be used in processes that most reduce GHG emissions. However, a lack of harmonization in current life cycle assessment (LCA) literature makes the identification of efficient processes difficult. In this study, 46 fermentation processes from literature are harmonized and analyzed on the basis of their GHG reduction compared with fossil benchmarks. The GHG reduction per amount of sugar used is defined as Sugar-to-X efficiency and used as a performance metric in the following. The analyzed processes span a wide range of Sugar-to-X efficiencies from -3.3 to 6.7 kg of CO2 equiv per kg of sugar input. Diverting sugar from bioethanol production for fuels to the fermentation and bioconversion processes with the highest Sugar-to-X efficiency could reduce the chemical industry's GHG emissions by an additional 130 MT of CO2 equiv without requiring any more biobased feedstocks.

Dynamic modelling of operational energy use in a building LCA: A case study of a Belgian office building

Strict energy performance requirements have reduced the building's operational energy use and related environmental impact in the past decades. Consequently, the embodied impacts of buildings gained importance, and hence focussing on the life cycle impacts has become essential to further reduce the environmental impact of buildings. Life cycle assessment (LCA) is an internationally accepted method used for this purpose. Current LCA studies of buildings typically look at their whole life cycle but ignore potential changes in operational energy use due to climate change. However, the latter is expected to influence the operational energy use of buildings to a significant extent. This paper aims to improve the assessment of the operational phase by including variations in the yearly operational energy use caused by climate change and expected changes in the electricity mix as a strategy for climate change mitigation. This adapted dynamic assessment method is used to assess a Belgian office building. The results indicate that a Representative Concentration Pathway (RCP) 8.5 climate change scenario causes a decrease of 18 % for the end use of gas for heating and an increase of 32.4 % for the electricity use for cooling and ventilation. For the case study, the reduction of the environmental impact due to the decrease in gas use compensates the impact increase due to the higher electricity use. An increase in environmental impact in future would however occur if both heating and cooling are provided by electricity. Furthermore, depending on the changes that will occur in the electricity mix, the global warming potential of the office building will change by −13 % for an electricity mix dominated by renewables and by + 10 % for one with mainly production by gas compared to the situation with the current mix. However, the inclusion of a more extended list of environmental indicators shows that the overall environmental impact will only reduce by 4 % or even increase by 7 % compared to the situation with the current mix.

Digitalising food manufacturing

Digitalising food manufacturing

A Delphi study to identify and prioritize research gaps for the incorporation of a fire into life cycle assessment of structures

The current life cycle assessment (LCA) methodology used in structural engineering does not consider hazards like fires within its scope. Various efforts have been made to identify research gaps that need to be filled in order to accomplish a Fire-LCA. This study presented research gaps from literature to experts to determine the research gap's impact, desirability, and probability of occurrence by the year 2030. The study provides insight into what researchers should prioritize to accomplish the proposed Fire-LCA methodology. In each round the experts were asked to evaluate and comment on the impact, desirability, and probability of occurrence by the year 2030 of each identified research gap. The results of the Delphi questionnaire identified high priority research gaps for the implementation of the proposed Fire-LCA methodology. The most prioritized research gap was statistical data that would describe the number and severity of fires, fire origin, and extent of fire spread in different types of building. The results of this study can guide researchers and funding agencies to prioritize research that will fill key gaps in knowledge that prevent the implementation of a Fire-LCA methodology for building structures.

Human Toxicological Impacts in Life Cycle Assessment of Circular Economy of the Built Environment: A Case Study of Denmark

The circular economy has become an important topic in the building industry, and life cycle assessment (LCA) is often used to quantify its benefits. Through chemical analysis, this article demonstrates that the current LCA is not yet well-adapted to assess the circular economy of building materials and components. It is shown that current inventory data and models are insufficient because they do not consider the uptake and emission of chemicals during use, the migration of chemicals within the value chain across the multiple phases in the circular economy, and because current characterization models lack a large fraction of the potentially emitted chemicals from said uptake and emission identified in the tested building material samples. Thus, it is shown that impacts relevant for LCA in the circular economy of buildings remain unaddressed because they are currently either omitted in the LCA that covers a limited number of impact indicators, or are ostensibly covered in the LCA covering a full set of indicators but missed due to inadequate characterization models. To ameliorate this, a definition of embedded toxicity and its relationship to the toxicological footprint is presented and a method for measurement is proposed, illustrating how assessing embedded toxicity can yield information for facilitating safe building-material reuse. Finally, a suggestion for the improvement of life cycle impact assessment methods is proposed.

A process scenario oriented Life Cycle Assessment framework for machining processes

Over the last decade the environmental impact of machining industry has extensively been explored, often using the Life Cycle Assessment (LCA) methodology. Most process data required by current LCA models are obtained from secondary data source directly, such as the database of simaPro, GaBi, and those models mainly rely on the material type or machining operation. However, process scenario information related to lubrication techniques, process parameters, machining equipment, etc., which is also important impact factor of LCA for machining processes, has not been considered in existing models. The lack of considering the above information could cause the significant uncertainty and unreliability of assessment results. Thus, aiming at accurately assessing environmental impact of machining processes, a process scenario oriented LCA framework is proposed. The framework comprises two stages, namely, construction of process scenario oriented machining database (PSOMDB) and life cycle impact assessment (LCIA). Construction of the PSOMDB is performed by three procedures, i.e., process scenario information representation, analysis of resource environment load, data acquisition. LCIA is implemented based on life cycle inventory (LCI) data from the constructed database. Then, a case study on the results generated from the proposed framework in comparison with the results generated from existing LCA model has validated the framework. The results can be used for more reliable and accurate LCA-based decision-making process in machining industry by LCA practitioners.

Implementation of circularity indicators in a household product manufacturing company

Measuring circularity is a hot topic and has gained a lot of attention among policy makers, companies and academia. Such indicators are often applied to assess the implementation level of more circular supply chains. Although life cycle assessment (LCA) will remain important to ensure our industrial activities contribute to an economic system with an overall lower environmental burden, existing characterization methods for the use of abiotic resources have been heavily debated and criticized by the scientific community and by industry. Due to these limitations in current LCA methods, circularity metrics are useful to evaluate the performance of systems in terms of resource effectiveness. BSH Hausgeräte GmbH (BSH) is the largest manufacturer of home appliances in Europe and one of the leading companies in the sector worldwide. BSH is seeking a new Key Performance Indicator (KPI) to measure their progress in implementing circular strategies such as product service system and improving post-consumer material recycling. This KPI will be used in combination with other indicators already monitored by BSH such as the environmental impact of their products using LCA. In this paper, the suitability of the Product Circularity Indicator (PCI) developed by the KU Leuven as a KPI for circularity within a manufacturing company of household products is investigated. The PCI is a novel circularity indicator that aims to measure the circularity of product at micro-level. Based on the baseline results, the main hotspots that contribute to a low PCI are identified. A sensitivity analysis allows to better understand the potential of specific system parameters to improve the circularity performance of the assessed products and services. The PCI has proven to be suitable for application in an industrial company because it captures all relevant factors influencing the circularity of a product.

Microalgae as a solution of third world energy crisis for biofuels production from wastewater toward carbon neutrality: An updated review

The boost of the greenhouse gases (GHGs, largely carbon dioxide – CO2) emissions owing to anthropogenic activity is one of the biggest global threats. Bio-CO2 emission reduction has received more and more attention as an environmentally sustainable approach. Microalgae are very popular in this regard because of excellent speed of growth, low costs of production, and resistance to extreme environments. Besides, most microalgae can undergo photosynthesis, where the CO2 and solar energy can be converted into sugar, and subsequently become biomass, providing a renewable and promising biofuel strategy with a few outstanding benefits. This review focuses on presenting CO2 sequestration by microalgae towards wastewater treatment and biodiesel production. First, the CO2 fixation mechanism by microalgae viz., sequestration and assimilation of CO2 in green microalgae as well as cyanobacteria were introduced. Besides, factors affecting CO2 sequestration in microalgae, containing microalgae species and cultivation conditions, such as light condition, photobioreactor, configuration, pH, CO2 concentration, temperature, and medium composition, were then comprehensively discussed. Special attention was given to the production of biodiesel as third-generation biofuel from various wastewater (CO2 biofixation), including processing steps of biodiesel production by microalgae, biodiesel production from wastewater, and improved methods. Furthermore, current life cycle assessment (LCA) and techno-economic analysis (TEA) used in biodiesel production were discussed. Finally, the research challenges and specific prospects were considered. Taken together, this review provides useful and updated information to facilitate the development of microalgal “green chemistry” and “environmental sustainability”.

A parametric study on the impact of open-source inventory variability and uncertainty for the life cycle assessment of road bituminous pavements

Current asphalt pavement life cycle assessment implementation limitations are in part linked to data availability. On top of this, there is currently a trend towards the creation of open-source accessible data for pavement LCA. Therefore, the objective of this study is to undertake a comprehensive assessment of open-source data for the “cradle-to-laid” LCA of asphalt pavements to better understand its potential risks. This study assesses the variability and uncertainty associated with open-access life cycle inventory data, collated from multiple open-source case study scenario results, project reports and inventories in order to assess its reliability. Six impact categories were considered. The collected data was applied to three different case study scenarios for a pavement surface course, which include a conventional hot-mix, a half-warm mixture and a half-warm mixture with 50% reclaimed asphalt pavement. The results of this study indicated the variabilities and uncertainties found at both the process level and those propagated to the final LCA results. The results found that fine aggregate production, truck transportation and construction machinery were the most troublesome processes for LCA uncertainty, given their large variability and low impact on the final LCA results. Meanwhile, the binders and cement production and plant operations, being the largest contributors to the environmental impacts (33, 23, 32% average, respectively), also provided large result uncertainties (12, 31, 21% average, respectively) across all impact categories for the cradle-to-laid assessment. Overall, total acidification potential and particulate matter formation potential were the two impact categories most likely to increase due to source variabilities (483.0 and 335.3%, respectively), whilst eutrophication potential was the most likely to decrease (61.7%) for the case studies assessed. The results of this work show that open source data could be used for the LCA of asphalt mixtures and pavements. Nonetheless, justified data sources should be used and users must be aware of the potential uncertainty areas within the system, where this paper has aimed to contribute to the identification and understanding of these uncertainties in order for users minimise them in their work and help identify targets for LCI development. Future work should address the variabilities between open-source and commercial tools, the exploration of the use, maintenance and end-of-life stages and the better quantification of binder, RAP and low-temperature manufacturing processes.

Development of a method for estimating product-specific leakage propensity and its inclusion into the life cycle management of plastic products

The global agenda to address increasing accumulation of plastic in the marine environment is challenging key decision-makers to develop grounded responses. Current life cycle assessment approaches are unable to adequately quantify the environmental damage associated with accumulation in the natural environment, presenting a critical challenge for the life cycle management of plastic products. This paper investigates the feasibility and potential influence of using leakage rates as a proxy indicator to inform the life cycle management of plastic products. A method is proposed for the quantification of leakage rates which utilises results from beach accumulation rate surveys coupled with sales data as a proxy for waste generation. It is demonstrated for the case of Cape Town, South Africa, for selected plastic products. Through interviews with key value-chain actors in South Africa, the potential influence of providing such specific knowledge on current approaches to plastic product life cycle management is investigated. The developed leakage rates demonstrate that vastly different leakage rates exist for different types of products. In particular, plastic products associated with food consumed on-the-go were found to be highly prone to leakage. In South Africa, value-chain actors are taking a more active role in plastic pollution mitigation primarily through widespread adoption of design for recycling in packaging strategies and investment in downstream recycling activities. However, the lack of reliable information regarding plastic flows is still a constraint, resulting in a multitude of approaches for strategy development particularly when it comes to the prioritisation of products for intervention. This has the potential to result in ineffective strategies due to the inadvertent prioritisation of products which are not major contributors to marine pollution. The adoption of leakage rates as a proxy indicator for potential marine environmental impacts takes a step towards addressing a critical limitation of life cycle assessment, enabling the consideration of leakage into the marine environment during product life cycle management. Furthermore, product-specific leakage rates have the potential to provide guidance for the development of targeted strategies to address plastic pollution.