LCA Databases Research Articles

Embodied impacts of key materials for UK decarbonised domestic retrofit: Differences between sources of embodied carbon and embodied energy data

Low energy domestic retrofit consumes materials, such as insulation, membranes and glazing, with smaller quantities of structural timber, steel or concrete, which have associated embodied impacts from resource extraction, manufacture and end-of-life treatments. In retrofit design, coefficients for material embodied impacts vary widely between sources and can lead to different results in a life cycle energy or carbon analysis, and perhaps different material choices in retrofit implementation. This paper considers how and why results differ between sources, and whether such data is suitable for making climate-beneficial design decisions. Embodied energy and carbon coefficients for 18 key retrofit materials were obtained from two widely used LCA databases and their similarity was quantified. The data collected illustrates that 70% embodied energy and embodied carbon data is within 20%, but that 30% of data was more than 20% different. Consistency of product naming and the absence in the datasets of key retrofit materials are factors identified contributing to variation, and present real constraints in practice. Furthermore, this exercise showed that embodied impacts for the types of materials most prominent in retrofits are less-well characterised than other major construction materials, and presents another layer of uncertainty. The data showed embodied energy was more consistent between sources than embodied carbon. This raises doubts about the predominant use of embodied carbon over energy for such analyses and establishes that a focus on embodied carbon over embodied energy has less power to reduce greenhouse gas emissions than considering both metrics together. It is concluded that obtaining such data with confidence is challenging and requires expertise in LCA, and is therefore unlikely to be accessible to most retrofit designers. Datasets need to be more complete and offer higher confidence to ensure delivery of high quality and meaningful results for climate-beneficial design decisions.

Exploring the Influence of Household Agent-Based Modelling on Whole-life Decarbonisation of Residential Buildings

Abstract Besides the operational and embodied carbon associated with the physical building, how significant is the influence of the heterogenous nature of household decision making in whole-life decarbonisation of the housing sector? This paper investigates the effects of explicitly considering these factors through agent-based modelling (ABM) of households integrated in bottom-up building stock modelling considering typologies of physical houses (existing and new/future) and different households, and how these might evolve to 2050 in the State of Victoria, Australia. The state population is represented by household typologies based on socio-economic status, tenure, and decisions as influenced by financial, physical/family needs and behavioural factors. The ABM is implemented using Python MESA software and the different house typologies’ whole-life carbon are calculated using the Australian Zero Emission House (AusZEH) modelling software and the Environmental Performance in Construction (EPiC) LCA database, respectively. Considering household decisions yielded higher operational carbon reduction on average across various scenarios, however these have less impact on reducing embodied carbon. And in Victoria, with increasing trends in population and housing demand, embodied carbon dominates whole-life carbon (WLC) outcomes. The heterogeneity of household decisions cannot be ignored and should be further studied along with embodied carbon reduction strategies and a broad range of scenarios that consider the dynamic and uncertain nature of factors that drive and influence the WLC of buildings.

Is normalization in Life Cycle Assessment sustainable? Alternative approach based on natural constraints

Life cycle assessment, a widely used methodology of environmental impact assessment, employs the step called normalization to allow comparison and contextualization of the multiple environmental impacts driven by human activities. However, the currently used normalization references based on total human impacts do not reflect any sustainability limits. This leads to a paradox where the more humanity causes an impact, the less important it appears in the results. We propose that normalization references be based on natural constraints, values that delimit the level of impact which can be expected to cause no significant harm. Such approach can be applied to most characterization methodologies, as we demonstrate on the case of Environmental Footprint methodology with 16 impact categories. In this work we quantify such normalization references, we compare them to the currently used values and we statistically test the difference on the case of 60 processes from common LCA databases. The results show that the proposed normalization method significantly changes the relative ranking of most of the impact categories. According to our findings, the proposed method may alter the ranking of assessed scenarios and change the conclusions and recommendations of LCA studies. This shift in the rationale for normalization can provide a different perspective on results interpretation and thus offer more robust policy guidance.

A Life Cycle Assessment of Energy-saving and Carbon Reduction Potential ——Empirical research on a Road Reconstruction Project in China

A life cycle standardized assessment module of energy-saving and carbon reduction is established based on the current road cost management software. The assessment module combines the domestic road material consumption quota and the main LCA database CLCD in China. Quantitative energy-saving and carbon reduction benefits of material and technical alternative measures could be calculated autocratically. Empirical project data shows that reducing concrete, reducing mixing temperature and reusing material of the old road are essential measures. It is possible to reduce carbon by 22-28% and save energy by 45-50%.

Scenarios for Reducing Greenhouse Gas Emissions from Food Procurement for Public School Kitchens in Copenhagen

The food system is responsible for a third of global greenhouse gas emissions, with the majority originating from livestock. Reducing our meat consumption is thus an important part of achieving necessary reductions in emissions, and reaching children is especially important to facilitate long-lasting changes in dietary habits now and into the future. This study developed dietary scenarios for three public schools in Copenhagen, which were used as cases to demonstrate reduction in greenhouse gas emissions from public kitchens. The scenarios included (i) replacement of all beef with poultry, (ii) replacement of all meat and fish with legumes, and (iii) alignment of food procurement to the Danish Food Based Dietary Guidelines based on the Planetary Health Diet. The effects on emissions were calculated using three different LCA databases. The results showed reductions ranging from 32 to 64% depending on the scenario, the current meal plan at the case school, and the emission factors used. Not surprisingly, the vegetarian scenario resulted in the highest reductions and replacing beef resulted in the lowest. Adhering to the national guidelines will result in reductions in emissions of 39–48%. Significant variability in the results existed between the three databases, highlighting the importance of basic understanding of LCA for kitchens interested in estimating and reducing their carbon footprint while at the same time providing justification for applying multiple LCA databases for increasing robustness.

Impact of rolling processes in the production of aluminum packaging assessed through LCA

PurposeThe environmental impact of aluminum cans and aluminum food packaging has been extensively studied in the last years; most of the researchers focused their attention on the whole lifecycle: from the aluminum extraction to the end-of-life management, while there are no dedicated studies devoted to the detailed analysis of the rolling phase. The aim of this paper is to present an LCA analysis focused on the fabrication of the thin plates to be used for can and tray production; the work has been carried out by studying the “Laminazione Sottile” plant with a cradle-to-gate approach, considering as functional unit thin plates of two different alloys.Materials and methodsInventory data were collected from the “Laminazione Sottile S.p.A.” plant, and off-plant emissions from external goods and fuels were accounted for based on existent LCA databases. Gabi has been used as software to model the process and calculate the impacts, while the CML method has been used. Most of the data have been directly measured in the plant during 1 year of work.Results and discussionThe results showed that the most impactful phase is the extraction of aluminum or the use of primary aluminum. Focusing the attention on the manufacturing process, the foundry is the most impacting stage, and the high energy required to melt the aluminum leads to most of the emissions. Moreover, this contribution is probably underestimated in this work because the impacts related to the manufacturing of the facilities used (furnaces and so on) are not considered. Another interesting finding is that both the supply chain and the general consumption have a non-negligible impact, highlighting the necessity to optimize these two aspects by implementing new policies for purchasing and work organization.ConclusionsThe study highlighted that the production of primary aluminum is the most impacting step, followed by the foundry and the hot rolling. Production of thin aluminum plates by rolling requires a lot of energy, so the carbon footprint of these processes is quite high. The chemicals used in the rolling steps play also a role in the general impact of the whole process. The company continuously promotes improvements of the process to reduce the footprint and puts a lot of money and effort to introduce new sensors and technologies to monitor the consumptions and improve the processes.

Cross-database comparisons on the greenhouse gas emissions, water consumption, and fossil-fuel use of plastic resin production and their post-use phase impacts

Resin production and post-use pathways have cross-database discrepancies due to different temporal/geographic representation, technologies, and assumptions. These differences can distort comparisons across alternatives and confound efforts to establish standards based on the plastics’ life-cycle impacts. Thus, this study quantifies the degree and identifies the sources of cross-database discrepancies across four LCA databases (GREET, USLCI, Ecoinvent, and GaBi) for five resin production pathways and three post-use phases. For resin production pathways, all resins showed significant cross-database discrepancy in their global warming impacts: the degree of discrepancy was significant to recommend a consistent choice of database to users any LCA comparisons across different products. For post-use phases, landfill datasets had relatively lower degree of cross-database discrepancy than incineration and mechanical recycling. Different metadata characteristics were the sources of some cross-database discrepancies while other parts could be explained by the original differences in the life-cycle inventory sourced from different producers and plants.

On the relevance of site specificity and temporal variability in agricultural LCA: a case study on mandarin in North Uruguay

PurposeMandarin is a relevant citrus crop in Uruguay both in terms of yield and area. This study is aimed at assessing the environmental impacts of mandarin cultivation in the country to identify the environmental hotspots. Temporal variability is assessed by considering six harvest seasons and site specificity by developing a regionalized inventory using a Tier 3 to estimate nitrogen on-field emissions. Also, the effect of regionalizing specific impact categories is analyzed.MethodsA cradle-to-farm gate assessment was carried out based on mass and area functional units. Primary data was gathered from a representative orchard of the region for the seasons 2016 to 2022. Nitrogen on-field emissions were modeled using LEACHN, a Tier 3 model that considers site-specific climatic and soil parameters as well as water and fertilizer applications at a daily scale. In addition, other modeling approaches were tested following the Environmental Product Declarations (EPD), Product Environmental Footprint (PEF), World Food LCA Database guidelines (WFLDB), and the updated IPCC and EMEP/EEA guidelines. The EN 15804 + A2 standard was followed to assess the environmental impacts, except for the categories concerning acidification, where IMPACT 2002 + v2.1 was used. In addition, to analyze the variations in the results when regionalizing impacts of on-field emissions, IMPACT World + was used.ResultsThe main hotspots detected are on-field emissions, machinery operations, pesticides, and fertilizer production. Irrigation is the main hotspot in blue water scarcity. As for the models tested to estimate nitrogen emissions, significant differences were detected in marine eutrophication between LEACHN and WFLDB, regardless of the functional unit, and in terrestrial acidification, terrestrial eutrophication, and aquatic acidification per ha between LEACHN and PEF. Significant reductions in the results were observed by regionalizing the environmental impacts caused by the on-field emissions.ConclusionsThe development of site-specific inventories and impact assessment methods with spatial resolution is encouraged, although more research is needed to draw general conclusions about the convenience of mechanistic models to estimate nitrogen emissions in Uruguayan citriculture. The high variation coefficients obtained reaffirm the importance of considering temporal variability. Moreover, the relevance of considering different functional units is highlighted since different influencing variables are observed throughout the seasons depending on the functional unit used.

Carbon footprint of transhumant sheep farms: accounting for natural baseline emissions in Mediterranean systems

Abstract Purpose Transhumance has rarely been analyzed through LCA approaches, and there is little evidence about its emissions level when conducted under different practices (by truck or on foot) or compared to sedentary livestock systems. Moreover, mobile pastoralism is strongly linked to natural resources by its seasonal grazing patterns, thereby occupying the niche of wild herbivores. Considering natural emission baselines in these ecosystems could have relevant effects when estimating their carbon footprint. Materials and methods Inventory data of 20 sheep farms was collected to estimate the carbon footprint (CF) of lamb meat produced. Farms were divided into three sub-groups representing typical management practices in the region: (1) sedentary (SED), (2) transhumance by truck (THT), and (3) transhumance on foot (THF). Livestock GHG emissions were modeled according to herd structure and IPCC guidelines. Off-farm emissions from external feeds and fuels were accounted based on existent LCA databases. A natural baseline of wild herbivores was established from the population of red deer reported in a hunting preserve, previously considered to be a reference for the natural carrying capacity in Mediterranean ecosystems. GHG emissions of wild herbivores were estimated through two methods based on (1) IPCC guidelines and (2) allometric regression equations. Results and discussion Carbon footprint ranged from 16.5 up to 26.9 kgCO2-eq/kg of lamb liveweight (LW). Significant differences were identified among sedentary and transhumant farms, the latter consistently showing lower CF values (SED: 25.1 kg CO2-eq/kg LW, THT: 18.3 kg CO2-eq/kg LW, THF: 18.2 kg CO2-eq/kg LW). Sedentary farms resulted in higher GHG emissions (+ 27%) and higher CO2 and N2O, contributions derived from the consumption of additional feeds. Both methods applied to compute emissions for wild herbivores led to similar results (25.3–26.8 Mg CO2-eq/km2), comparatively lower than estimation for transhumant sheep (47.7 Mg CO2-eq/km2). When considering natural baseline emissions, the CF of transhumant lamb meat is reduced by almost 30%, reaching values quite below those reported for intensive lamb production systems in Spain. Conclusions From our results, mobility of grazing livestock can be considered as a strategy promoting climate change mitigation. This is achieved mainly by reducing the need of external feeds, while maximizing the use of local forage resources that otherwise would be difficult to valorize. Further reductions in the CF result when considering natural baseline emissions. The application of this new GHG accounting perspective could have relevant implications when aiming at climate neutrality of grazing-based ruminant systems.

24 Years Intersectoral LCA Database Development, Growth, and Update: from PE/Thinkstep-GaBi to Sphera-MLC

24 Years Intersectoral LCA Database Development, Growth, and Update: from PE/Thinkstep-GaBi to Sphera-MLC

Circularity and LCA - material pathways: the cascade potential and cascade database of an in-use building product

Improving circularity in the building sector entails ensuring greater material efficiency to avoid virgin material extraction. To assist stakeholders in decisions regarding salvaging an in-use building product, the potential further uses of this salvaged product and its materials should be determined. In other words, its cascade potential should be determined given circular strategies, i.e. to reuse, repurpose, repair sequentially. To predict the cascade potential, a database is required that combines (acquired) product data, assembly characteristics and process data, e.g., info on the process to melt old steel. This database is referred to as a cascade database. The aim of this research is to study steps to form this database, specifically, the combination of product passports and an LCA process database. Hereto, major existing European data tools are considered. For product data, material passports and digital product passports initiatives are identified and compared. For process data, LCA databases are considered. Interactions between these data tools are a possible way to set up a partial cascade database. A workflow is then described- on how to acquire data on the cascade potential of a product from such a database. We note that the cascade database also relies on extensive (economic) forecast models, data collection and stakeholder interaction. Setting up such an extensive database and generating all possible cascading paths is a challenging, if not unachievable, feat. Nevertheless, even limited applications of this database might help reach a more circular economy.

Towards a LCA Database for the Planning and Design of Zero-Emissions Neighborhoods

The integration of science-based knowledge on greenhouse gas (GHG) emissions into practice-based neighborhood design and planning is key to inform and implement climate mitigation strategies. LCA is a method that is commonly used to provide objective and science-based information on the environmental impacts of specified systems or products. To use a LCA methodology at neighborhood scale is in turn dependent on the development of a common structure for life cycle inventory data. Such a LCA database does not operate on its own, but functions as a structured source of relevant high-quality data inputs linked to other different analytical tools. The aim of this study is to analyze the needs and requirements and provide a foundation for a LCA database at neighborhood scale that can provide users with an interface to find and access life cycle data in the users’ preferred format. The result of this study is the outline of the foundations of a user-centric LCA database for neighborhoods, including several sub-systems (buildings, infrastructure, mobility, and energy supply). Recommendations are given in the Conclusions Section to provide harmonized decision support on reducing GHG emissions at local levels in the planning and design of urban development projects at the neighborhood scale.

Comparative resource-environment-economy assessment of coal- and oil-based aromatics production

Aromatics is an important chemical material with a greatly increasing demand across the world. However, its production normally depends on the conventional oil-based naphtha to aromatics (OBNTA) route, resulting in difficulty for oil-shortage countries to meet local demand. The coal-based methanol to aromatics (CBMTA) route is considered a promising alternative to diversify the production of the aromatic whereas its industrial competitiveness relative to the OBNTA route has been not fully assessed at a resource-environment-economy level. This study proposes a comprehensive assessment framework that integrates the life cycle assessment, technical-economic analysis, and entropy weight method to quantify and compare the resource consumption, environmental emission, and economic benefit of the CBMTA and OBNTA routes. The operating data for the industrialized plants, economic data of China’s market, and background data from the LCA database are taken as the input of the assessment framework. The sensitivity to operating and economic data and uncertainty caused by original data, allocation procedures, and feedstock sources are considered. The assessment shows that the CBMTA route scores worse comprehensive competitiveness than the OBNTA route due to its higher resource consumption and environmental emission. However, it performs well in economic benefit at Chinese current prices, which may attract more attention from investors. Based on the assessment, a SWOT analysis is carried out to further address resource-environment-economy tradeoffs. The analysis shows a considerable prospect of the CBMTA route thanks to all kinds of external opportunities, which however need to vigorously promote cleaner production policies and specific investment strategies tailored to local resource-environment-economy conditions. The current work can help policymakers, stakeholders, and investors better understand the multi-dimensional tradeoffs and make decisions.

PRospective EnvironMental Impact asSEment (premise): A streamlined approach to producing databases for prospective life cycle assessment using integrated assessment models

Prospective Life Cycle Assessment (pLCA) is useful to evaluate the environmental performance of current and emerging technologies in the future. Yet, as energy systems and industries are rapidly shifting towards cleaner means of production, pLCA requires an inventory database that encapsulates the expected changes in technologies and the environment at a given point in time, following specific socio-techno-economic pathways. To this end, this study introduces premise, a tool to streamline the generation of prospective inventory databases for pLCA by integrating scenarios generated by Integrated Assessment Models (IAM). More precisely, premise applies a number of transformations on energy-intensive activities found in the inventory database ecoinvent according to projections provided by the IAM. Unsurprisingly, the study shows that, within a given socio-economic narrative, the climate change mitigation target chosen affects the performance of nearly all activities in the database. This is illustrated by focusing on the effects observed on a few activities, such as systems for direct air capture of CO2, lithium-ion batteries, electricity and clinker production as well as freight transport by road, in relation to the applied sector-based transformation and the chosen climate change mitigation target. This work also discusses the limitations and challenges faced when coupling IAM and LCA databases and what improvements are to be brought in to further facilitate the development of pLCA.

Environmental assessment of copper production in Europe: an LCA case study from Sweden conducted using two conventional software-database setups

This study focuses on the environmental assessment of European copper production. Life cycle assessment is applied to analyse copper cathode production in Sweden, including its mining (an open-pit mine) and refining (pyrometallurgy), and using two combinations of software and databases: SimaPro software with ecoinvent database and GaBi software with GaBi database. The results are compared with results from other case studies from literature. A cradle-to-gate LCA was conducted considering 1 tonne of copper as functional unit. The inventory for the foreground system was elaborated using primary data gathered by the staff from the mine, the concentrator and the smelter. For the background data, LCA databases are used considering datasets for the Swedish market whenever possible. As the smelter has multiple useful outputs, economic allocation was applied at the inventory level. The calculation method CML-IA baseline 3.5 was considered for both combinations of software and database, reporting all the impact categories of the method plus the Cumulative Energy Demand. The inventory of the system and the main environmental hotspots were presented, such as the explosives for blasting (due to their supply chain) or the electricity used in the concentrator. The results obtained with the two combinations of LCA software and databases yield large differences for categories such as abiotic depletion (7.5 times higher for SimaPro and ecoinvent), possibly due to differences in the system boundaries of the databases and the characterisation factors of the method. Although the case study has a relatively high cumulative energy demand (140/168 kMJ/tonne Cu) compared to other mines, its performance in global warming (3.5/4.7 tonne CO2eq/tonne Cu) is much better due to the low greenhouse gas emissions from electricity, which shows that the electricity mix is a key aspect. The environmental performance of mining depends partially on the specific conditions of the deposit, e.g., the ore grade and the mining type. LCA practitioners should consider the potential different results that can be obtained using different combinations of software and database and exert caution when comparing cases, especially for abiotic depletion, human toxicity and ecotoxicity categories. Finally, the use of renewable energies can be key to improve the environmental sustainability of copper production.

Challenges and requirements of exchanging Product Carbon Footprint information in the supply chain

The reduction in greenhouse gas (GHG) emissions is of high importance to society. Companies therefore have an increasing interest in understanding and reducing the GHG emissions of their supply chains and to generate data to track and prove this, for example by calculating product carbon footprints (PCFs). Besides serious gaps in PCF data within companies and in LCA databases, there is still missing experience and knowledge on how to consistently prepare and exchange these data. Based on our experience as LCA practitioners in the industry, we discuss the key challenges and requirements such as data formats, data quality, confidentiality concerns and comparability issues of PCF data. Aiming to contribute practical recommendations to ongoing initiatives working to enable PCF-exchange along value chains, we scope approaches that match industry requirements.

Life Cycle Assessment of Industrial Building Construction and Recovery Potential. Case Studies in Seville

In Spain, most businesses are medium to small size enterprises, representing 90% of the total, but there is a lack of studies of the types of building this sector uses. The main objective of this paper is to present a method for the evaluation of small industrial construction projects to facilitate the introduction of eco-efficient solutions. For this, it is necessary to identify the most representative buildings and the aspects of these which have the most environmental impact. A methodology in place for the evaluation of dwelling construction is adapted, for the first time, to evaluate industrial buildings. The construction solutions characterized are those traditionally used in the sector, as identified through 87 surveys. A standardized classification of work units is proposed to enable the use of environmental product information, such as eco-labels and/or EPD, and LCA databases. The carbon footprint (CF) and water footprint (WF) are the indicators selected because of their straightforward message. Finally, a comparative analysis is performed showing the high recycling potential of concrete and cement which, along with metals and aggregates, control the impact in terms of CF. With respect to the WF indicator, plastic substitute aggregates are among the materials with the greatest impact.

Exploring the current challenges and emerging approaches in whole building life cycle assessment

The environmental impacts of building stock have received significant attention as buildings release one-third of the total greenhouse gas emissions. Whole-building life cycle assessment (WBLCA) has become a trend to address this limitation by ensuring the best environmental performance of a building. However, the current WBLCA development faces many challenges, which makes it difficult to create reliable and comparable results. This study aims to conduct a critical literature review to summarize the current challenges in WBLCA applications and the emerging approaches that might address these challenges. Three main challenges are listed: variances in goal and scope definition, building structure complexity, and varieties in the LCA database and methods. Emerging approaches are also presented to address these challenges, including the integration of building information modeling into WBLCA and environmental product declaration applications in impact assessments. The findings of this study could support researchers and decision-makers with the most popular approaches to conduct WBLCA and achieve reliable outputs.

Comparative study on Life Cycle Assessment of buildings in developed countries and Sri Lanka

PurposeLife cycle assessment (LCA) has considerably contributed to increasing the environmental friendliness of buildings in developed countries. However, it is hard to find evidence on the application of LCA for buildings in developing countries; particularly, Sri Lanka. There is a lack of research to compare the status of LCA of buildings in developed countries vs developing countries. In this context, the purpose of this study aims to examine the status of LCA implementation for buildings between developed countries and Sri Lanka, a developing country.Design/methodology/approachThe exploratory research was adapted, and in-depth interviews were held with LCA professionals from Sri Lanka and developed countries, respectively.FindingsRelatively less attention has been paid to the implementation of LCA for buildings in Sri Lanka compared to the developed countries due to the time and effort required to collect life cycle inventory data and limited stakeholder understanding of the LCA. Hence, this study proposed improvements, including the development of LCA databases containing region-specific data and conducting programmes to raise stakeholders' awareness to address the gaps in Sri Lanka.Research limitations/implicationsThe identified LCA implementation process for buildings could be used as a guide for first-time LCA users, and it equally makes a valued reference for experienced practitioners.Originality/valueA limited number of the studies formulate a comparison between the LCA for building in developed countries and developing countries. This research attempts to address this knowledge gap.

Life cycle assessment of wind farms in Ethiopia

The overall aim of this study is to contribute to the creation of LCA database on electricity generation systems in Ethiopia. This study specifically estimates the environmental impacts associated with wind power systems supplying high voltage electricity to the national grid. The study has regional significance as the Ethiopian electric system is already supplying electricity to Sudan and Djibouti and envisioned to supply to other countries in the region. Three different grid-connected wind power systems consisting of four different models of wind turbines with power rates between 1 and 1.67 MW were analyzed for the situation in Ethiopia. The assessment takes into account all the life cycle stages of the total system, cradle to grave, considering all the processes related to the wind farms: raw material acquisition, manufacturing of main components, transporting to the wind farm, construction, operation and maintenance, and the final dismantling and waste treatment. The study has been developed in line with the main principles of the ISO 14040 and ISO 14044 standard procedures. The analysis is done using SimaPro software 8.0.3.14 multi-user, Ecoinvent database version 3.01, and ReCiPe 2008 impact assessment method. The assumed operational lifetime as a baseline is 20 years. The average midpoint environmental impact of Ethiopian wind power system per kWh electricity generated is for climate change: 33.6 g CO2 eq., fossil depletion: 8 g oil eq., freshwater ecotoxicity: 0.023 g 1,4-DCB eq., freshwater eutrophication: 0.005 g N eq., human toxicity: 9.9 g 1,4-DCB eq., metal depletion: 18.7 g Fe eq., marine ecotoxicity: 0.098 g 1,4-DCB eq., particulate matter formation: 0.097 g PM10 eq., photochemical oxidant formation: 0.144 g NMVOC, and terrestrial acidification: 0.21 g SO2 eq. The pre-operation phase that includes the upstream life cycle stage is the largest contributor to all the environmental impacts, with shares ranging between 82 and 96%. The values of cumulative energy demand (CED) and energy return on investment (EROI) for the wind power system are 0.393 MJ and 9.2, respectively. The pre-operation phase is the largest contributor to all the environmental impact categories. The sensitivity and scenario analyses indicate that changes in wind turbine lifespans, capacity factors, exchange rates for parts, transport routes, and treatment activities would result in significant changes in the LCA results.