Life Cycle Assessment Of Production Research Articles

Life cycle assessment of single cell protein production–A review of current technologies and emerging challenges

Population growth trend will have a significant impact on the availability of food resources, leading to a surge in the development of various protein concentrates, including Single Cell Protein (SCP), which is derived from the biomass of unicellular organisms. The objective of this review is to analyze the application of Life Cycle Assessment (LCA) on SCP production, assessing the influence of the technologies on environmental outcomes and the challenges linked to LCA methodological choices. The articles included in the review were classified according to their LCA goal, distinguishing between those focused on the production of SCP for consumption, for feed valorization, for wastewater treatment and for conventional foods substitution in meals. Generally, most systems comprised three stages: feedstock production and pre-treatment, fermentation, and post-treatment, and in some cases, integration of SCP into the final product. The analysis revealed that the type of substrate has a great influence on the environmental profile of the product, as well as its pre-treatment. Electricity was also identified as the main hotspot in virtually all systems, being the most studied parameter in sensitivity analyses. Regarding the definition of LCA parameters, a lack of consensus on the description of system boundaries in the use of organic waste as substrate for SCP production is notable, leading to confusion about the actual associated impacts. Likewise, the study of the environmental performance of SCP based on its amino acid content and nutritional quality is one of the main challenges that would contribute to better evaluating its environmental behavior compared to other types of protein of vegetal and animal origin.

Life cycle inventory and assessment of Canadian faba bean and dry bean production

Pulses are nutritionally beneficial and cost-effective food/feed products, and are also nitrogen-fixing crops that can improve the environmental sustainability of annual cropping systems when included in crop rotations – particularly with respect to GHG emissions. Canada is a major producer and exporter of pulses, therefore the goals of this study were to (a) develop regionalized life cycle inventories (LCIs) for Canadian faba and dry beans suitable for incorporation into public LCI databases and (b) conduct ISO 14044-compliant LCAs of Canadian faba, navy, pinto, and kidney beans at provincial, ecozone, and national scales. LCI data were collected via survey from ~200 Canadian faba and dry bean farmers.At the national scale of aggregation, faba beans had considerably lower impacts across all impact categories considered than the three dry bean types. This is due to their lower input requirements (particularly fertilizer), and higher nitrogen fixation capabilities. Among the three dry bean types considered, pinto beans had the lowest environmental impacts across most impact categories. Fertilizer production and field-level emissions from fertilizer use were the major contributors to the overall environmental impacts of the production of all bean types. In addition to differences between bean types, there were also differences within bean types, between regions of production and levels of regional aggregation. The results of the uncertainty analysis revealed that variability was lowest when aggregated at the ecozone level, based on soil and climate factors, and highest when aggregated to the national average. Taken together, these results demonstrate the utility of spatially-resolved LCI and LCA modelling that distinguishes between different types of pulse crops in order to accurately estimate impacts, and to support decision-making in pursuit of more sustainable food systems. Future research needs include more primary data on field-level biological nitrogen fixation and soil carbon fluxes, since these can significantly influence estimated environmental impacts.

Life cycle assessment of n-caproic acid production via chain elongation from food waste: Comparison of shunting and staged technology

n-Caproic acid is a widely used biochemical that can be produced from organic waste through chain elongation technology. This study aims to evaluate the environmental impacts of n-caproic acid production through chain elongation by two processes (i.e., shunting and staged technology). The Open-life cycle assessment (LCA) model was used to calculate the environmental impacts of both technologies based on experimental data. Results showed that the shunting technology had higher environmental impacts than the staged technology. Water and electricity made bigger contribution to the environmental impacts of both technologies. Reusing chain elongation effluent substituting for water and using electricity produced by wind power could reduce the environmental impacts of water and electricity effectively. Using ethanol from food waste had higher global warming potential than fossil ethanol, which suggested that a cradle-to-grave LCA is needed to be carried out for specific raw materials and chain elongation products in the future.

When solid recovered fuel (SRF) production and consumption maximize environmental benefits? A life cycle assessment

Solid recovered fuel (SRF) from non-recyclable waste obtained from source separation and mechanical treatments can replace carbon coke in cement plants, contributing to the carbon neutrality. A life cycle assessment (LCA) of the SRF production from non-recyclable and selected waste was conducted in an Italian mechanical treatment plant to estimate the potential environmental impacts per ton of SRF produced. The analysis would contribute to evaluate the benefits that can be obtained due to coke substitution in best- and worst-case scenarios. The avoided impacts achieved were assessed, together with an evaluation of the variables that can affect the environmental benefits: SRF biogenic carbon content (in percentage of paper and cardboard); transportation distances travelled from the treatment plant to the cement kiln; the renewable energy used in the mechanical facility. On average, about 35.6 kgCO2-eq are generated by the SRF transportation and production phase. These impacts are greatly compensated by coke substitution, obtaining a net value of about −1.1 tCO2-eq avoided per ton of SRF. On balance, the global warming potential due to SRF production and consumption ranges from about −542 kgCO2-eq to about −1729 kgCO2-eq. The research recommended the use of SRF to substitute coke in cement kilns also in low densely-populated areas to mitigate environmental impacts and achieve carbon neutrality at a global level.

Research on Life Cycle Assessment and Performance Comparison of Bioethanol Production from Various Biomass Feedstocks

Bioethanol, as a renewable energy source, has been widely used in the energy sector, particularly in replacing traditional petroleum energy, and holds great potential. This study involves a whole life cycle assessment of bioethanol production and the co-production of high-value by-products—xylose, lignin, and steam—using three types of waste biomass: corn cobs, corn straw, and wheat straw as feedstocks by chopping, pretreatment, hydrolysis, fermentation, and distillation methods. Secondly, the benefits of three raw materials are compared for preparing bioethanol, and their impact on the environment and energy production is analyzed. The comparison indicates that corn cobs offer the best overall benefits, with a net energy balance (NEB) of 6902 MJ/Mg of ethanol and a net energy ratio (NER) of 1.30. The global warming potential (GWP) is 1.75 × 10−2, acidification potential (AP) is 1.02 × 10−2, eutrophication potential (EP) is 2.63 × 10−4, photochemical ozone creation potential (POCP) is 3.19 × 10−8, and human toxicity potential (HTP) is 1.52 × 10−4. This paper can provide a theoretical reference and data supporting the green refining of bioethanol and the high-value utilization of by-products, and broaden its application prospects.

Life cycle assessment of instant coffee production considering different energy sources

Nowadays, coffee is a popular beverage globally and one of the largest traded commodities. Conventional instant coffee production requires energy and water, producing coffee bagasse (biomass) as an agro-industrial residue. This residue, spent coffee grounds (SCGs), in Ecuador is currently disposed of in the municipal landfills, losing the opportunity to recover energy and minerals. This paper studies the life cycle environmental impacts of instant coffee production using data from a coffee plant in Guayaquil, Ecuador. The study analyzes the impact of generating the required electricity by an internal combustion engine powered by fossil fuel, using the Ecuadorian power grid, or using a combined cooling, heat, and power (CCHP) trigeneration system powered by dried SCGs and natural gas. The results indicate that when SCGs is used to power auxiliary processes, the CO2 emissions greatly decrease, helping to reduce fossil fuel dependence. The study also reveals that scenarios using electricity from the Ecuadorian power grid exhibit lower environmental indicators than those using internal combustion engines. The scenario that includes the CCHP records the lowest indicator in each category, reducing the GWP by 45.2 % compared to the base scenario, pointing out that using energy-efficient technologies lowers the carbon footprint, contributing to decarbonisation simultaneously.

Temporal considerations in life cycle assessments of wooden buildings: Implications for design incentives

The building and construction sector plays a vital role in mitigating climate change. Consequently, the use of wood and bio-based materials as a strategy for reducing the environmental impact of buildings is increasing. However, along with realising the potential environmental benefits of biomass, the focus on assessment methods and their inherent uncertainties increases. Typically, Life Cycle Assessment (LCA) is used for quantifying the environmental performance of buildings but is often criticised for not considering temporal factors related to emissions. Therefore, dynamic LCA approaches have been developed. To understand how dynamic LCA influences building design incentives, this study compares traditional LCA and dynamic LCA results on 45 cases of wooden buildings. The study finds that the overall ranking of the buildings’ environmental performance is stable, irrespective of the method used. However, the dynamic biogenic carbon accounting methods significantly influence the results and shift burdens between upfront and future emissions. Therefore, methods for time-distributed biogenic carbon accounting crucially need addressing in LCAs of wood and bio-based products.

Use, reuse, and waste management of single-use products associated with the COVID-19 pandemic in the United States.

Single-use product usage is not a new concern. However, during the early stages of the COVID-19 pandemic, the use and disposal of single-use products, especially those related to managing the pandemic, rose to prominence. Reports of shortages-and at the same time litter formation arising from improper disposal of various pandemic-related materials such as gloves, masks, wipes, and food takeout containers-were frequently relayed. To address shortages, it was recommended that single-use products be reused in some instances. As these recommendations were widely adopted, it became essential to assess consumer preferences regarding single-use product usage. Aiming to fill that void, a survey was distributed to learn about single-use product usage, possible reuse of single-use products, and waste-management practices during the COVID-19 pandemic in the US. Respondents preferred reusable fabric masks followed by disposable surgical masks. A significant percentage of respondents answered that they would reuse a disposable mask and mostly selected rotating masks as the preferred "disinfection" method in between the reuse of single-use masks. Gloves were not used by most respondents whereas wipes and/or paper towels were used by more than half of respondents. Free-response answers were analyzed for common themes. Concerns related to pandemic-related product use and disposal, and food packaging or food preparation were observed in the free-response answers. This survey reveals that respondents perceived changes in their consumption and waste generation or perceived a change in the type of products consumed and discarded due to the pandemic. Overall, respondents expressed a preference for reuse and a concern over the increase in single-use products. Results of this study can be used to make projections on the consumption and reuse of single-use products in crisis scenarios. In addition, the data can be used to model the use and disposal phase in single-use product life-cycle assessments. Integr Environ Assess Manag 2024;20:1736-1746. © 2024 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Life cycle assessment of red raspberry production – a comparative case study of open field and tunnel production in Finland

Life cycle assessment of red raspberry production – a comparative case study of open field and tunnel production in Finland

Recovery of Materials from Refrigerator: A Study Focused on Product Distribution, Recyclability and LCA Evaluation

This study outlines a recycling initiative conducted at Rekular GmbH, focusing on the recycling of 100 refrigerators. The recycling process employed a combination of manual dismantling, depollution, and mechanical processing techniques. Manual dismantling followed a predefined protocol to extract various materials, while the mechanical and physical processes involved shredding, zigzag, magnetic, and eddy current separation (ECS) to liberate and separate different materials. The resulting ferrous, non-ferrous and polymer product fractions were analyzed and categorized, providing valuable insights into the quality of interim products in the refrigerator recycling process. Simulations were then performed using FactSageTM version 8.2 and HSC Chemistry 10 version 10.3.7.1 software to simulate the recovery of metals from the ferrous and non-ferrous fractions using pyro metallurgical and hydrometallurgical methods. An electric arc furnace (EAF) was utilized for iron (Fe), while a re-smelter process for aluminium (Al), and the black copper route was simulated for copper (Cu) recovery. The recovery rates including metallurgical, mechanical, and physical processes are as follows: Fe (78%), Al (68.4%), and Cu (52.4%). In contrast, the recovery rates through metallurgical processes are as follows: Al (99%), Fe (79%), and Cu (88%). This discrepancy is attributed to losses of these elements resulting from incomplete liberation in mechanical processing. Additionally, a product/centric approach was applied and the recycling index reached 76% for recovery the Al, Cu, and Fe metals in a refrigerator recycling process. Turning to the environmental impact evaluation within the life cycle assessment (LCA), the process unit with the highest emissions per refrigerator in the recycling process was the use of nitrogen during the shredding process, accounting for 3.7 kg CO2 eq/refrigerator. Subsequently, the consumption of medium voltage electricity from the German grid during mechanical and physical separations contributed to 0.6 kg CO2 eq/refrigerator. The EAF, and electrolytic refining stages in the metallurgical recovery process also had a notable impact, generating 10.7 kg CO2 eq/refrigerator.

NLCA in bakery food products: state of the art and urgent needs

This study analyzes the nutritional life cycle assessment (LCA) of bakery products and the current state of the art. The analysis focuses on (1) the importance of applying a methodology, such as LCA, in a general way and the division into different stages considering the UNI EN ISO; (2) the development of nutritional LCA; (3) the difference between functional units in LCA and nutritional LCA; and (4) the different nutritional LCA approaches. The study emphasizes the lack of nutritional LCA studies regarding the bakery category, underlining the urgent need for this type of investigation concerning this specific food sector.

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 Energy Production from Solid Waste Valorization and Wastewater Purification: A Case Study of Meat Processing Industry

The meat processing industry is a very energy-intensive and water-demanding industry that produces large amounts of solid and aqueous wastes. Therefore, methods for the effective treatment of the produced wastes have been studied in order to treat and reuse water within the industry and valorize the solid wastes for the production of energy and value-added products. The primary aim of this work is to evaluate the overall sustainability of energy produced from solid waste valorization and wastewater treatment in the meat processing industry via Life Cycle Assessment (LCA). For this purpose, the total environmental impact of a typical meat industry that utilizes conventional waste management methods (Scenario A) was evaluated and compared with two different industries with appropriate waste treatment/valorization processes. In the first studied valorization scenario (Scenario B), waste management is conducted using anaerobic digestion, composting, membrane bioreactors, and ultraviolet (UV) treatment, whereas in the second studied valorization scenario (Scenario C), aeration treatment, chlorination, and hydrothermal carbonization (HTC) are the selected treatment techniques. As expected, it is evident from this LCA study, that both Scenarios B and C exhibited a significantly improved environmental footprint in all studied indicators compared with Scenario A, with the reduction in certain environmental impact categories reaching up to 80%. Between the two studied alternative scenarios, the biggest improvement in the environmental footprint of the meat industry was observed in Scenario C, mainly due to the substantial quantity of the produced thermal energy. According to the results of the present case study, it is evident that the incorporation of appropriate methods in the meat industry can result in the efficient generation of energy and a significant improvement in the environmental footprint contributing to environmental safety and sustainability.

Implementation of resource supply risk characterisation factors in the life cycle assessment of food products: Application to contrasting bread supply chains

Implementation of resource supply risk characterisation factors in the life cycle assessment of food products: Application to contrasting bread supply chains

Life cycle assessment of hemp-based milk alternative production in Lower Saxony, Germany, based on a material flow analysis of a pilot scale

PurposeRecently, demand for plant-based milk products (PBMP) has increased for multiple reasons, such as the rapid population growth expected to reach 9.7 billion by 2050, health concerns such as lactose intolerance, nutritional aspects, ethical reasons, and environmental concerns. This leads to increased demand for food and competition for natural resources. Hemp-based milk is an emerging dairy alternative, and stakeholders in the supply chain are becoming increasingly interested in learning about the environmental effects of its production. This article aims for a comparative life cycle assessment of hemp-based and bovine milk with fat and protein correction to account for the differences in macronutrient content.MethodsThe cradle-to-factory gate LCA relied on experimental cultivation and milk production in Lower Saxony, Germany. Inventory was based on primary data from fields and the pilot plant of DIL e. V. and on literature and ecoinvent database to develop a life cycle assessment (LCA) model. The LCA was performed using Simapro 9.3 software and IMPACT 2002+ impact assessment method. The life cycle stages include cultivation, harvesting, and milk production. The study compared hemp-based milk to bovine milk based on 1 kg fat and protein-corrected milk (FPCM) as a functional unit (FU). Co-products are taken into consideration using mass-economic allocation.ResultsThe results showed that hemp cultivation accounted for the highest impact (99%) in the production chain of hemp milk production. The GWP of 1 kg of FPCM hemp-based milk is 0.42 kg CO2 eq. The energy consumption for 1 kg of FPCM hemp-based milk is 4.73 MJ (12.26% lower than bovine milk). The other main factors impacting hemp-based milk production were terrestrial ecotoxicity (6.444E2 kg TEG soil) and aquatic ecotoxicity (2.458E2 kg TEG water). Hemp fiber was the co-product with 40% of the allocated impacts. The results are sensitive to the changes in fat-protein contents, functional unit, and system boundaries. The results demonstrated that the impacts of hemp milk production were within the range indicated for other PBMP production and 51.7% lower than bovine milk production in terms of GWP. This range primarily stems from field emissions, fertilizer application, and machinery usage during cultivation and harvest.ConclusionThe results of the comparisons of bovine milk and hemp-based milk were dependable on the FU. The hemp-based milk has the potential to be a more sustainable alternative to bovine milk due to considerably lower impacts in impact categories—land occupation (99% lower than bovine milk), global warming (52% lower than bovine milk), and ionizing radiation (23% lower than bovine milk). It is primarily due to less use of agricultural machinery, less land requirement, and lower NH3 emissions than bovine milk in various stages of milk production.

Environmental and Life Cycle Assessment of Lithium Carbonate Production from Chilean Atacama Brines

The increasing need for lithium(I), driven by the growing market for lithium-ion batteries (LIB) due to the push for Net Zero carbon society and cleaner energy sources, requires the environmentally...

Life cycle assessment of tomato paste production: a case study

Life cycle assessment of tomato paste production: a case study

Gate-to-gate approach in life cycle assessment of steel pipe products

The iron and steel industry is of great strategic importance in Indonesia and is expected to continue its growth. One sector within this industry that is projected to see increased production is the steel pipe manufacturing sector. However, the significant emissions produced during steel pipe production have prompted many countries to seek ways to reduce these emissions. One such method is the implementation of the Life Cycle Assessment (LCA) technique, which assesses the environmental impact and serves as a valuable decision-making tool alongside other important methods. This approach aims to enhance sustainable production and consumption effectively and efficiently. In a specific case study, two types of steel pipe products were analyzed using LCA, focusing on various stages from material transportation to steel pipe production and delivery. The study assessed the environmental impact using the midpoint impact category, which includes factors like Global Warming Potential (GWP), Photochemical Ozone Creation Potential (POCP), Acidification Potential (AP), and Ecological Toxicity Potential (ETP) using the CML2001 characterization methods. The findings revealed that the production of SAWH pipes has a higher environmental impact in terms of GWP, AP, and POCP compared to HFW pipes, while HFW pipes had a greater ETP value. GWP was identified as the most significant potential impact for both products, with the pipeline production stage contributing the most to GWP. Overall, these results offer an initial understanding of the sustainability levels of steel pipe production, serving as a foundation for the development of pollution control measures to maintain the competitiveness of the industrial plant.

Environmental Impact Assessment of IoT Devices: A Graph-based Approach

The proliferation of the Internet of Things (IoT) has enriched modern life, but their increasing ubiquity raises concerns about environmental impact. To address this, comprehensive Life Cycle Assessments (LCAs) of IoT products, which have historically been manual, costly, and time-consuming, are vital. Noting the recurring nature of core components in IoT devices, such as CPUs and sensors, we propose to use graphs and machine learning to simplify and scale LCA estimations for IoT products. This paper introduces a novel approach to representing IoT devices as graphs with specific component characteristics and interconnections. Applied to a preliminary dataset of smart home IoT devices, the methodology unveils insights into structural similarities using a composite kernel approach. This initial phase lays the groundwork for the machine learning component. The integration of machine learning planned as part of ongoing research, provides a pathway for efficient and timely ecological assessments, ensuring that the rapid growth of IoT aligns with sustainable practices.

A cradle-to-gate life cycle assessment of green methanol production using direct air capture

Synthetic methanol can be produced from carbon dioxide captured from ambient air with great improvements in many environmental impact categories compared to traditional production methods.