Search Results (893)

Steel structures that support machines and industrial process installations should ideally be flexible, adaptable, and easily reconfigurable. However, in current practice, new profiles are frequently used and discarded whenever layout modifications are required, leading to considerable material waste, increased costs, and environmental burdens. Such practices conflict with the principles of the circular economy, in which reusability is preferable to recycling. This paper presents a life cycle sustainability assessment (life cycle cost, LCC, and life cycle assessment, LCA) applied to six structural typologies: (a) welded IPE profiles, (b) bolted IPE profiles, (c) welded tubular profiles, (d) bolted tubular profiles, (e) clamped IPE profiles with demountable joints, and (f) flanged tubular profiles with demountable joints. The assessment integrates structural calculations with an updatable database of costs, operation times, and service lives, providing a systematic framework for evaluating both economic and environmental performance in medium-load industrial structures (0.5–9.8 kN/m²). Application to nine representative case studies demonstrated that demountable clamped and flanged joints become economically competitive after three life cycles, and after only two life cycles under high-load conditions (9.8 kN/m²). The findings indicate relative cost savings of up to 75% in optimized configurations and carbon-footprint reductions of approximately 50% after three cycles. These results provide quantitative evidence of the long-term advantages of demountable and reconfigurable steel structures. Their capacity for repeated reuse without loss of performance supports sustainable design strategies, reduces environmental impacts, and advances circular economy principles, making them an attractive option for modern industrial facilities subject to frequent modifications. Full article

Against the backdrop of accelerating global low-carbon transition, the construction sector has emerged as a critical domain for carbon reduction. This paper establishes a carbon footprint calculation model for the materialisation phase of prefabricated residential buildings, grounded in the theory of whole-life-cycle carbon and the carbon emission factor method. It delineates phase boundaries and carbon source composition, while integrating project data to formulate computational expressions. Using Building 1 of YT Apartments as a case study for phased assessment, results indicate that the building material production phase accounts for the highest proportion of emissions (90.76%), followed by on-site construction (3.83%), material transportation (2.92%), on-site assembly (1.27%), component manufacturing (0.86%), and component transportation (0.36%). This demonstrates that the building material production phase holds the greatest potential for emissions reduction, providing theoretical support for low-carbon strategies in prefabricated housing. Full article

Fresh pasta was enriched with olive pomace (OP) and artichoke by-products (AB), respectively, at three concentrations: 13.5%, 14.5%, and 15% for OP, and 15%, 17%, and 19% for AB. Both control and fortified samples were assessed for technological properties, nutritional content and sensory quality. A Life Cycle Assessment was also performed to estimate the carbon footprint associated with pasta production. Results demonstrated a worsening of pasta quality, above all the resistance to break for row pasta and sandiness and taste for cooked samples, even though the pasta remained in an acceptable range. Fibers, polyphenol content, flavonoids, and antioxidant activity were found to be better in fortified samples than in the control pasta. With AB as new ingredient, the antioxidant activity increased substantially. The environmental impact revealed two different scenarios: compared to the control (1.08 kgCO₂eq), lower carbon footprint values were found for pasta fortified with OP (from 0.96 to 0.98 kgCO₂eq) and higher values for pasta fortified with AB (from 1.53 to 1.62 kgCO₂eq), due to the energy consumption associated with by-product processing (dehydration at 50 °C and grinding). Thus, combining sensory quality, nutritional improvements and environmental impact, a Global Quality Index (GQI) was also calculated for each sample. The GQI values, according to the weighting scheme of this index, revealed that the benefits of AB superimposed the drawbacks and suggested that 15% AB fortification is the best solution to balance pros and cons of by-product recycling. Full article

Vegetation indices (VIs) have been extensively employed as proxies for gross primary productivity (GPP). However, it is unclear how the spatial resolution effects the performance of VIs in GPP estimation in different biomes when matching the flux tower footprint. Here, we examined the relationship with tower GPP between Landsat-footprint VIs and MODIS-footprint VIs. We first calculated Landsat-footprint VIs (e.g., Normalized Difference Vegetation Index (NDVI), enhanced vegetation index (EVI), two-band EVI (EVI2), near-infrared reflectance of vegetation (NIRv) and kernel Normalized Difference Vegetation Index (kNDVI)) averaged over all the pixels within the footprint and MODIS-footprint VIs with 3 × 3 km or 1 × 1 km around the tower, respectively. We then examined the relationship between Landsat- and MODIS-footprint VIs and tower GPP at monthly scale over 76 FLUXNET sites across ten vegetation types worldwide. The results showed that Landsat-footprint VIs had stronger performance than MODIS-footprint VIs for GPP estimation in all ecosystems, with high improvement on croplands, wetlands, and grasslands and moderate improvements on mixed forest, evergreen needleleaf forest, and deciduous broadleaf forest. Moreover, NIRv showed a stronger correlation with tower-based GPP than NDVI, EVI, EVI2, and kNDVI in ten ecosystems both at 30 m and 500 spatial resolutions. Our findings highlighted the critical role of VIs with high spatial resolution and footprint-aware matching in GPP estimation. Full article

Climate change poses significant risks to both natural and urban systems, and fostering climate literacy among younger generations is increasingly recognized as a key component of resilience strategies. This paper presents the outcomes of a transnational climate education project involving high school students from Cinisello Balsamo (Italy) and Edremit (Turkey), developed under the EU-funded Town Twinning program. The project combined scientific seminars, experiential learning, and digital tools (including carbon footprint calculators and immersive virtual glacier tours) to enhance climate knowledge and civic engagement. Youth Climate Councils were established to co-develop local sustainability proposals and engage with municipal authorities. Quantitative tests and qualitative evaluations confirmed significant learning gains and high satisfaction among participants. A comparative analysis with international initiatives highlights the project’s unique integration of scientific rigor, participatory methods, and cross-border cooperation. The proposed model offers a replicable framework for embedding place-based climate education into urban governance and youth policy. Full article

Climate change is inducing new and increasing existing hazards that can cascade from one system or region to another affecting communities, ecosystems and various sectors of the economy. In 2022 Greece has incorporated the national climate law describing climate actions on mitigation and adaptation, introducing strategies and outlining key priorities and commitments of the country. Moreover, under article 20 of the national climate law, it is declared that it is mandatory for enterprises and public bodies to calculate their carbon footprint and publish a carbon footprint report in which mitigation actions and measures are also summarized. Reports collected within the first 2 years of the implementation of the law have been reviewed and data extracted are discussed in this work. A clear reduction of the total carbon footprint is evident in most sectors of Greek economy. Policy recommendations to enhance not only regulatory but also voluntary compliance and ensure progress towards the 2050 net-zero carbon emissions target are also outlined. Full article

Buildings account for a major share of global energy demand and emissions, prioritizing lighting for efficiency improvements. This study evaluates a daylight-assisted lighting system’s energy and environmental performance through a fully measurement-based approach. Monitored illuminance data were processed within a transparent workflow linking lighting demand to power use, electricity consumption, and life-c ycle greenhouse gas emissions. Energy demand was derived from luminaire efficacy and an illuminated area, while environmental impacts were quantified using an attributional life cycle assessment (LCA) framework consistent with ISO 14040/14044 standards. Use-phase carbon footprints were calculated with regional grid emission factors, and manufacturing, transport, and end-of-life stages were included as background conditions. The results demonstrate that the daylight-aware control strategy achieved an average electricity reduction of 17% (95% CI: 15.7–18.3%) compared to the constant baseline, with the greatest savings occurring in daylight-rich months. When translated into environmental terms, these operational reductions yielded a corresponding ~17% decrease in use-phase CO₂ emissions under a regional grid factor of 0.40 kg CO₂/kWh. Importantly, the system’s embodied impacts were outweighed within an operational payback period of approximately 18–20 months, underscoring both environmental and economic viability. Sensitivity analyses across illuminance thresholds, luminaire efficacy, and grid emission factors confirmed the robustness of these outcomes. Overall, the study provides a reproducible methodology that directly integrates empirical daylight measurements with life-cycle assessment, clarifying the contribution of smart lighting control to sustainable building design. Full article

According to United Nations projections, the global population is expected to reach 9.7 billion by 2050, with 70% residing in urban areas, while arable land availability continues to decline. Vertical farming (VF) offers a promising pathway for sustainable urban food production by utilizing vertical space and controlled environments. Among emerging approaches, the adaptive vertical farm (AVF) introduces movable shelving systems that adjust to plant growth stages, allowing a higher number of cultivation shelves to be accommodated within the same rack height. In this study, we developed a computational model to quantify and compare the energy consumption of AVF and conventional VF systems under industrial-scale conditions. The reference scenario considered 272 multilevel racks, each hosting 8 shelves in the VF and 15 shelves in the AVF, with Lactuca sativa as the test crop. Energy consumption for thermohygrometric control and lighting was estimated under different sowing schedules, with crop growth dynamics simulated using scheduling algorithms. Plant heat loads were calculated through the Penman–Monteith model, enabling a robust estimation of evapotranspiration and its impact on indoor climate control. Simulation results show that the AVF achieves an average 22% reduction in specific energy consumption for climate control compared to the VF, independently of sowing strategies. Moreover, the AVF nearly doubles the number of cultivation shelves within the same footprint, increasing the cultivable surface area by over 400% compared to traditional flat indoor systems. This work provides the first quantitative assessment of AVF energy performance, demonstrating its potential to simultaneously improve land-use efficiency and reduce energy intensity, thereby supporting the sustainable integration of vertical farming in urban food systems. Full article

Ternary lithium-ion and lithium iron phosphate power batteries are widely used on electric vehicles in China. However, the development of their carbon footprint assessment systems is still in its initial stage. This paper calculates the carbon footprints of commonly used ternary lithium-ion and lithium iron phosphate power batteries and analyzes their ecological impacts on the environment. Life cycle of the power batteries are divided into production and usage, and the inventory data of the battery in two stages are collected according to 1 kWh unit. The software Simapro and the IPCC 2021 GWP 100 carbon footprint calculation method are used to calculate the carbon footprint. The results show that the carbon footprint contribution of ternary lithium-ion batteries is the largest in the production stage, accounting for 75.8% of the total carbon footprint. This is because three precious metals (cobalt, nickel and manganese) account for a large proportion of the carbon footprint. For lithium iron phosphate batteries, the carbon footprint contribution is the largest in the usage stage, accounting for 59% of the total carbon footprint, mainly due to the low proportion of green power in China’s power system. A comparison of the total carbon emissions of two types of batteries shows that the total emissions of lithium iron phosphate batteries are generally half of those of ternary lithium-ion batteries, indicating that lithium iron phosphate batteries are superior to ternary lithium-ion batteries in terms of ecological impact on the environmental. Full article

Healthy nutrition is of great importance to maintain the physical and mental health of individuals. In recent years, products such as snack bars have become widely used to encourage healthy eating habits. This study compared the environmental footprints of four snack bar prototypes that adhere to the Mediterranean diet (MD) through a life cycle assessment (LCA). LCA is used to calculate an environmental footprint, encompassing six impact categories: Global Warming Potential (GWP), Abiotic Depletion (AD), Human Toxicity (Cancer (HTC) and Non-Cancer Effects (HTNC)), land use (LU), and water use (WU). The total impacts were as follows (prototypes 1–4, respectively): GWP 0.221/0.224/0.234/0.194 kg CO₂-eq; AD 2.35/2.87/2.63/2.01 MJ; HTC 9.13 × 10⁻¹⁰/7.69 × 10⁻¹⁰/9.82 × 10⁻¹⁰/9.88 × 10⁻¹⁰ CTUh; HTNC 1.03 × 10⁻⁸/1.51 × 10⁻⁹/4.16 × 10⁻⁹/3.03 × 10⁻⁹ CTUh; LU 14.8/21.6/21.8/10.8; WU 0.132/0.287/0.198/0.068 m³. Prototype 4, which yielded the lowest value across four indicators (GWP, AD, LU, and WU), is the most environmentally favorable. A range of 89–91% of the GWP originates from raw material production, while the share attributed to transportation is 3–4%. Nuts and dried fruit contents are decisive for WU and LU. The findings suggest that environmental impacts are highly sensitive to ingredient composition and agricultural inputs, and that selecting raw materials and optimizing the supply chain is critical for mitigation. Full article

Consumers are increasingly willing to choose more sustainable products, driven by affordability and sustainability considerations. However, they often face difficulties in understanding the multitude of product certifications and identifying “greenwashing” marketing claims. This highlights the need for a clear and harmonized sustainability scoring system that allows consumers to benchmark products. Sustainability encompasses three key pillars: environmental, social, and economic. Accurately scoring a product’s sustainability requires addressing a wide range of criteria within these pillars, introducing significant complexity. This study proposes a multicriteria methodology for scoring the sustainability of apparel products into an A to E label. The approach combines a life cycle assessment covering environmental impacts from “farm-to-gate”, with a social evaluation based on country-level social key performance indicators (KPIs) and factory-specific data aligned with the International Labour Organization (ILO). Additionally, the sustainability score incorporates the impact of product durability, as longer-lasting products can reduce environmental footprint and costs for consumers. The methodology is defined and validated through a case study of a white T-shirt produced with 50% recycled cotton and 50% organic cotton. The results demonstrate the comprehensive assessment of the T-shirt’s environmental and social impacts, providing a detailed sustainability score, highlighting the role of recyclability. This comprehensive sustainability scoring system aims to provide consumers with a clear, harmonized, and reliable assessment of product sustainability, empowering everyone to make informed purchasing decisions aligned with their values. It will also enable brands and retailers to calculate the sustainability score of their products, including in the scope of digital product passport, provided they can ensure traceability and transparency along the supply chain. Full article

Background/Objectives: Despite its growing application, life-cycle assessment (LCA) in the nutraceutical sector has not been systematically studied, leaving a gap in our understanding of the unique challenges of assessing its environmental footprint. The main objective of this study was to provide an overview of scientific publications related to nutraceuticals from the LCA perspective. Methods: This review combined bibliometric analysis, using VOSViewer as an analytic tool, with the search of the Web of Science database, aiming to identify the most relevant papers associated with nutraceuticals and life-cycle assessment. Results: The final selection of the most relevant publications was set at 65, analyzing 78 different nutraceuticals. Results reveal that the main sources of raw materials for extraction of nutraceuticals are marine-based, plant-based, and from agri-food waste. Polyphenols were analyzed 34 times and were predominantly sourced from plants, while carotenoids, analyzed 17 times, were mainly linked with marine-based and food waste-derived sources. The main environmental footprints were focused on climate change, covering most of the nutraceuticals analyzed (97.4%), followed by acidification (78.2%) and eutrophication (74.4%). SimaPro was the prevailing software used for 43.6% nutraceuticals, while the prevailing database was Ecoinvent, used in two thirds of the cases (66.7%). ReCiPe, as a life-cycle inventory assessment method, was used for calculating 34.6% of analyzed cases, followed by CML (33.3%). Conclusions: This systematic review highlights the main challenge in LCA studies, outlining great variability in study boundaries, functional units, and reported environmental footprints, and making it difficult to compare the environmental impacts of similar nutraceutical groups from a life-cycle perspective. This underscores the urgent need to improve input-data quality and develop standardized methodologies to validate sustainability claims using LCA. Full article

Fast fashion is a rapidly expanding sector characterized by high production volumes, low costs, and short product lifecycles. While recent efforts have focused on improving sustainability within supply chains, consumer behavior remains a critical yet underexplored driver of environmental impacts. This study presents a web-based calculator tool designed to estimate both the carbon and plastic footprints associated with individual fast fashion consumption, with a particular focus on shopping behaviors, garment disposal, and laundry habits. Adopting a geographical perspective, the analysis explicitly considers the spatial dynamics of consumption and logistics within the urban context of Milan (Italy), a dense metropolitan area representative of high fashion activity and mobility. By incorporating user-reported travel patterns, logistics routes, and localized emission factors, the tool links consumer habits to place-specific environmental impacts. By involving over 360 users, the tool not only quantifies emissions and plastic waste (including microfibers) but also serves an educational function, raising awareness about the hidden consequences of fashion-related choices. Results reveal high variability in environmental impacts depending on user profiles and behaviors, with online shopping, frequent use of private vehicles, and improper garment disposal contributing significantly to emissions and plastic pollution. Our findings highlight the importance of integrating consumer-focused educational tools into broader sustainability strategies. The tool’s dual function as both calculator and awareness-raising platform suggests its potential value for educational and policy initiatives aimed at promoting more sustainable fashion consumption patterns. Full article

Scientific conferences are invaluable for knowledge exchange, yet pose growing environmental concerns, especially through long-distance travel. This work quantifies and compares the environmental burdens of a national conference (30 delegates, Pisa, Italy) and an international conference (50 delegates, Athens, Greece) using ISO 14040/44-compliant Life-Cycle Assessment (LCA). A cradle-to-grave inventory combined primary data on participant travel, venue utilities, catering materials and waste handling with secondary datasets from Ecoinvent 3.8. Sixteen midpoint impact categories were calculated with the Environmental Footprint 3.1 method and normalized per delegate. The international meeting incurred 130 kg CO_2eq per delegate, compared with 11 kg CO_2eq per delegate for the domestic event, reflecting a ten-fold rise in fossil energy demand and comparable multiples across acidification, eutrophication and toxicity categories. Participant travel explained >85% of every global indicator in both cases, while venue energy and material flows together accounted for ≤12%. Further developments require harmonized functional units, improved digital-infrastructure inventories and integration of social impact metrics. The findings provide preliminary input for evidence-based guidelines for organizers and contribute to the standardization of LCA in the emerging field of event sustainability. Full article

Different crop production scenarios and crop rotation systems should be investigated with lower greenhouse gas (GHG) intensity levels, with it being possible to reach net-zero GHG emissions from grain production farms. This study was divided into three stages—the development of spreadsheets for data acquisition for each crop rotation, calculations of GHG emissions based on IPCC methodologies and specific regional emission factors, and an analysis of the main emissions and sinks sources we evaluated, including the potential for soil and biomass carbon (C) sequestration to offset agricultural emissions. The system C footprints were 2413, 2209, and 2096 kg CO₂eq ha⁻¹ for farms K, M, and G, respectively, demanding estimated C sequestration (soil or biomass) rates of 657, 602, and 571 kg C ha⁻¹ year⁻¹ to offset all emissions of agricultural phases. Mitigating practices can reduce GHG emissions, but compensation via sequestration (soil or biomass C) shall be required to achieve zero GHG emissions. Reserving approximately 10–15% of the farm’s total agricultural production area to plant native trees or eucalyptus in marginal areas or even introducing crop–livestock–forest integration or crop–forest integration systems can offset the GHG emissions of the entire agricultural production phase, considering the potential for soil and biomass C sequestration, showing that it is a feasible option for producing C credit from the agricultural sector. Full article