Pub Date : 2025-12-04DOI: 10.1016/j.cesys.2025.100379
Lorenzo Maria Curci , Leonardo Vásquez-Ibarra , Ariel D. Arencibia , Roberto Braglia , Antonella Canini , Marcello Lenucci , Monica De Caroli
This study provides a comprehensive environmental and economic evaluation of two controlled cultivation environments—greenhouses and growth chambers—applied to chicory production in southern Italy, as a case study. Within each environment, three systems were evaluated: traditional soil cultivation, hydroponics, and decoupled aquaponics. Environmental impacts were estimated using Life Cycle Assessment (LCA), while economic performance was analyzed using Life Cycle Costing (LCC). The functional unit was defined as a single chicory plant, and the system boundary was defined as a cradle-to-gate approach. Across all production systems, growth chambers showed significantly higher environmental and economic impacts than greenhouses, with global warming impacts reaching 2.1 kg CO2 eq versus 0.12–0.15 kg CO2 eq per plant, respectively, and water consumption increasing from 5 to 13 L in greenhouses to 13–15 L in growth chambers, primarily due to energy-related water consumption. Economic results showed costs ranging from €1.82–2.76 per plant in growth chambers, compared to €0.37–1.33 in greenhouses, depending on the growing technique used. These results underscore the strategic importance of selecting growing environments based on production scale and end-use. Greenhouses offer a cost-effective and sustainable option for large-scale production, while growth chambers, despite their greater resource requirements, allow for precision control, ideal for high-value applications such as urban agriculture and nutraceutical production.
本研究以意大利南部菊苣生产为例,对温室和生长室两种控制栽培环境进行了全面的环境和经济评价。在每个环境中,评估了三种系统:传统土壤栽培、水培和解耦水培。采用生命周期评价法(LCA)评估环境影响,采用生命周期成本法(LCC)分析经济效益。功能单元被定义为单一菊苣植物,系统边界被定义为从摇篮到大门的方法。在所有生产系统中,生长室对环境和经济的影响显著高于温室,对全球变暖的影响分别达到2.1 kg CO2当量和0.12-0.15 kg CO2当量,用水量从温室的5 - 13升增加到生长室的13 - 15升,这主要是由于与能源相关的用水量。经济结果显示,根据所使用的种植技术,生长室内每株植物的成本为1.82-2.76欧元,而温室的成本为0.37-1.33欧元。这些结果强调了根据生产规模和最终用途选择生长环境的战略重要性。温室为大规模生产提供了成本效益和可持续的选择,而生长室尽管对资源的要求更高,但可以进行精确控制,是城市农业和营养食品生产等高价值应用的理想选择。
{"title":"Life cycle assessment of chicory production in soil-based, hydroponic, and decoupled aquaponic systems","authors":"Lorenzo Maria Curci , Leonardo Vásquez-Ibarra , Ariel D. Arencibia , Roberto Braglia , Antonella Canini , Marcello Lenucci , Monica De Caroli","doi":"10.1016/j.cesys.2025.100379","DOIUrl":"10.1016/j.cesys.2025.100379","url":null,"abstract":"<div><div>This study provides a comprehensive environmental and economic evaluation of two controlled cultivation environments—greenhouses and growth chambers—applied to chicory production in southern Italy, as a case study. Within each environment, three systems were evaluated: traditional soil cultivation, hydroponics, and decoupled aquaponics. Environmental impacts were estimated using Life Cycle Assessment (LCA), while economic performance was analyzed using Life Cycle Costing (LCC). The functional unit was defined as a single chicory plant, and the system boundary was defined as a cradle-to-gate approach. Across all production systems, growth chambers showed significantly higher environmental and economic impacts than greenhouses, with global warming impacts reaching 2.1 kg CO<sub>2</sub> eq versus 0.12–0.15 kg CO<sub>2</sub> eq per plant, respectively, and water consumption increasing from 5 to 13 L in greenhouses to 13–15 L in growth chambers, primarily due to energy-related water consumption. Economic results showed costs ranging from €1.82–2.76 per plant in growth chambers, compared to €0.37–1.33 in greenhouses, depending on the growing technique used. These results underscore the strategic importance of selecting growing environments based on production scale and end-use. Greenhouses offer a cost-effective and sustainable option for large-scale production, while growth chambers, despite their greater resource requirements, allow for precision control, ideal for high-value applications such as urban agriculture and nutraceutical production.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"20 ","pages":"Article 100379"},"PeriodicalIF":4.9,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145750244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.cesys.2025.100380
Aya M. El-Shahat , Emad S. Bakhoum , Mohamed Marzouk
Desalination has become a vital global water source with significant economic, environmental, and social impacts. Governance institutions are increasingly applying sustainability principles to desalination. Given the scarcity of high-quality freshwater and growing populations, desalination ensures water security in Egypt. Despite environmental impacts and high energy consumption, desalination projects are not fully integrated into green rating frameworks. However, despite their importance, limited research efforts have been made to score and rank desalination plants using Multi-Criteria Decision-Making (MCDM) techniques. This research addresses this gap by proposing a sustainable assessment framework integrating sustainability, MCDM techniques and sensitivity analysis. Benchmarking regional and international rating systems to highlight sustainable categories and criteria. The developed system includes 26 criteria in seven categories: 1) General Requirements, 2) Sustainable Site, 3) Energy, 4) Water Efficiency, 5) Materials and Resources, 6) Emissions and Environment, and 7) Culture and Economy. The rating system classifies desalination plants into six levels: Unsustainable, Certified, Bronze, Silver, Gold, and Platinum. A key novelty of the study is the dual application of two developed MCDM techniques, Best-Worst Method (BWM) and Full-Consistency Method (FUCOM), which are rarely used in infrastructure assessments, particularly in the desalination sector. They are used to determine categories and criteria weights. To measure the consistency between BWM and FUCOM results, a Weight Similarity Coefficient (WSC) was calculated. The overall WSC value was 0.83, indicating high consistency between the two methods. The most important and the least important categories and criteria were determined by conducting questionnaire surveys completed by desalination plants experts. The framework is applied to East Port-Said Reverse Osmosis (RO) Water Desalination Plant as a case study. The Plant received a high sustainability ranking (“Silver”) with a score of 73.24 and 72.58 using BWM and FUCOM, respectively. Sensitivity analysis assesses the effectiveness of categories and criteria using deterministic and Monte Carlo regression-based analysis. Results reveal that BWM and FUCOM rankings are sensitive to category weight variations, emphasizing the importance of precise weighting in sustainability assessments.
{"title":"Rating sustainability aspects of reverse osmosis desalination plants using multi-criteria decision-making approach","authors":"Aya M. El-Shahat , Emad S. Bakhoum , Mohamed Marzouk","doi":"10.1016/j.cesys.2025.100380","DOIUrl":"10.1016/j.cesys.2025.100380","url":null,"abstract":"<div><div>Desalination has become a vital global water source with significant economic, environmental, and social impacts. Governance institutions are increasingly applying sustainability principles to desalination. Given the scarcity of high-quality freshwater and growing populations, desalination ensures water security in Egypt. Despite environmental impacts and high energy consumption, desalination projects are not fully integrated into green rating frameworks. However, despite their importance, limited research efforts have been made to score and rank desalination plants using Multi-Criteria Decision-Making (MCDM) techniques. This research addresses this gap by proposing a sustainable assessment framework integrating sustainability, MCDM techniques and sensitivity analysis. Benchmarking regional and international rating systems to highlight sustainable categories and criteria. The developed system includes 26 criteria in seven categories: 1) General Requirements, 2) Sustainable Site, 3) Energy, 4) Water Efficiency, 5) Materials and Resources, 6) Emissions and Environment, and 7) Culture and Economy. The rating system classifies desalination plants into six levels: Unsustainable, Certified, Bronze, Silver, Gold, and Platinum. A key novelty of the study is the dual application of two developed MCDM techniques, Best-Worst Method (BWM) and Full-Consistency Method (FUCOM), which are rarely used in infrastructure assessments, particularly in the desalination sector. They are used to determine categories and criteria weights. To measure the consistency between BWM and FUCOM results, a Weight Similarity Coefficient (WSC) was calculated. The overall WSC value was 0.83, indicating high consistency between the two methods. The most important and the least important categories and criteria were determined by conducting questionnaire surveys completed by desalination plants experts. The framework is applied to East Port-Said Reverse Osmosis (RO) Water Desalination Plant as a case study. The Plant received a high sustainability ranking (“Silver”) with a score of 73.24 and 72.58 using BWM and FUCOM, respectively. Sensitivity analysis assesses the effectiveness of categories and criteria using deterministic and Monte Carlo regression-based analysis. Results reveal that BWM and FUCOM rankings are sensitive to category weight variations, emphasizing the importance of precise weighting in sustainability assessments.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"19 ","pages":"Article 100380"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145690410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.cesys.2025.100382
Keivan Arastou, Ali Dehnavi, Shervin Jamshidi
The stress exerted on aquatic environments by wastewater discharge outlets, including those from industrial parks, can be quantified through a refined assessment of the grey water footprint (GWF). The conventional total GWF (TGWF), widely used in practice, sums the GWFs of mixed outlets without identifying a critical pollutant (CP), which is essential for effective pollution control and management strategies. A novel methodology was developed to calculate the weighted total grey water footprint (W-TGWF), integrating all discharge outlets by considering dilution effects and identifying the final CP. This study, conducted over four months from October 2022 to January 2023, evaluated TGWF and W-TGWF simultaneously for mixed outlets of treatment processes, Activated Sludge (AS) and Membrane Bioreactor (MBR), operated in parallel to treat wastewater from an industrial park in Isfahan province, central Iran. The mixed influent wastewater at the equalization tank, representing the total inlet GWF, ranged from 1.55 to 2.06 million cubic meters per month (MCM/month). For mixed outlets, W-TGWF consistently yielded lower values than TGWF, showing reductions of 22 %, 13 %, 26 %, and 5 % from October to January. The periodic average W-TGWF was 15,304 m3/month based on NH4 as the CP. In contrast, TGWF reached 18,909 m3/month, 24 % higher, due to the simultaneous influence of NH4 and F parameters without definitive CP identification. These findings show that TGWF tends to overestimate environmental stress and obscure pollutant prioritization. The weighted approach offers a more accurate and ecologically meaningful framework for assessing mixed GWFs, with direct implications for water management and regulation.
{"title":"Advancing in grey water footprint evaluation of mixed multiple outlets: The efficacy of a weighted approach vs. conventional method","authors":"Keivan Arastou, Ali Dehnavi, Shervin Jamshidi","doi":"10.1016/j.cesys.2025.100382","DOIUrl":"10.1016/j.cesys.2025.100382","url":null,"abstract":"<div><div>The stress exerted on aquatic environments by wastewater discharge outlets, including those from industrial parks, can be quantified through a refined assessment of the grey water footprint (GWF). The conventional total GWF (TGWF), widely used in practice, sums the GWFs of mixed outlets without identifying a critical pollutant (CP), which is essential for effective pollution control and management strategies. A novel methodology was developed to calculate the weighted total grey water footprint (W-TGWF), integrating all discharge outlets by considering dilution effects and identifying the final CP. This study, conducted over four months from October 2022 to January 2023, evaluated TGWF and W-TGWF simultaneously for mixed outlets of treatment processes, Activated Sludge (AS) and Membrane Bioreactor (MBR), operated in parallel to treat wastewater from an industrial park in Isfahan province, central Iran. The mixed influent wastewater at the equalization tank, representing the total inlet GWF, ranged from 1.55 to 2.06 million cubic meters per month (MCM/month). For mixed outlets, W-TGWF consistently yielded lower values than TGWF, showing reductions of 22 %, 13 %, 26 %, and 5 % from October to January. The periodic average W-TGWF was 15,304 m<sup>3</sup>/month based on NH<sub>4</sub> as the CP. In contrast, TGWF reached 18,909 m<sup>3</sup>/month, 24 % higher, due to the simultaneous influence of NH<sub>4</sub> and F parameters without definitive CP identification. These findings show that TGWF tends to overestimate environmental stress and obscure pollutant prioritization. The weighted approach offers a more accurate and ecologically meaningful framework for assessing mixed GWFs, with direct implications for water management and regulation.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"19 ","pages":"Article 100382"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.cesys.2025.100378
Jiaqi Li
As a pervasive global challenge, carbon dioxide emissions are intrinsically related to energy consumption. However, the importance and spatiotemporal heterogeneity of the impact of various types of energy consumption, including clean energy and fossil fuels, on carbon emissions remain insufficiently investigated. Drawing on remote sensing data from 329 Chinese cities spanning 2005 to 2017, this study integrates SHAP-interpreted eXtreme Gradient Boosting with the Multiscale Geographically and Temporally Weighted Regression (MGTWR) model to elucidate the key contributors to carbon dioxide discharge and further investigate the spatiotemporal non-stationarity of the effect of energy consumption on carbon emissions. The results identify GDP, coal, oil, and electricity as key drivers of emissions, with a 1% GDP increase in developed regions raising emissions by up to 65%. Temporally, coal, natural gas, wind, and solar exerted short-term effects (under three years), nuclear power showed medium-term influence, while hydropower and oil exhibited persistence over a decade. Spatially, clean energy exhibited an east–west divergence, with the solar power’s emission-reduction coefficient in eastern regions being twice that in the west. These findings indicate that optimizing energy efficiency and fulfilling carbon reduction targets necessitate strategically tailored policies, which must be precisely aligned with the unique characteristics of specific regions and energy sources.
{"title":"Spatiotemporal heterogeneity analysis of multi-type clean energy consumption and carbon dioxide emissions in Chinese cities: Integrating multiscale geographically and temporally weighted regression with machine learning","authors":"Jiaqi Li","doi":"10.1016/j.cesys.2025.100378","DOIUrl":"10.1016/j.cesys.2025.100378","url":null,"abstract":"<div><div>As a pervasive global challenge, carbon dioxide emissions are intrinsically related to energy consumption. However, the importance and spatiotemporal heterogeneity of the impact of various types of energy consumption, including clean energy and fossil fuels, on carbon emissions remain insufficiently investigated. Drawing on remote sensing data from 329 Chinese cities spanning 2005 to 2017, this study integrates SHAP-interpreted eXtreme Gradient Boosting with the Multiscale Geographically and Temporally Weighted Regression (MGTWR) model to elucidate the key contributors to carbon dioxide discharge and further investigate the spatiotemporal non-stationarity of the effect of energy consumption on carbon emissions. The results identify GDP, coal, oil, and electricity as key drivers of <span><math><msub><mrow><mtext>CO</mtext></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions, with a 1% GDP increase in developed regions raising emissions by up to 65%. Temporally, coal, natural gas, wind, and solar exerted short-term effects (under three years), nuclear power showed medium-term influence, while hydropower and oil exhibited persistence over a decade. Spatially, clean energy exhibited an east–west divergence, with the solar power’s emission-reduction coefficient in eastern regions being twice that in the west. These findings indicate that optimizing energy efficiency and fulfilling carbon reduction targets necessitate strategically tailored policies, which must be precisely aligned with the unique characteristics of specific regions and energy sources.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"19 ","pages":"Article 100378"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.cesys.2025.100383
R. Farhat , S.A.E. Boyer , A. Burr , M. Batistella , J.M. Lopez-Cuesta
Conductive bionanocomposites are attracting growing interest as multifunctional materials. They can meet the requirements of electrical applications while supporting sustainable development. This review summarizes recent research on bionanocomposites made from biopolymer matrices and carbon conductive fillers that can be processed by additive manufacturing. These materials offer several advantages, including reduced dependence on fossil resources, possibility of low-impact processing, minimized risks in case of dissemination, and satisfactory electrical properties with low amounts of conductive fillers. However, despite their “green' label, their actual environmental performance has not been fully demonstrated. Only a limited number of comprehensive Life Cycle Assessments (LCA) are available. This review discusses the potential of these materials, while underscoring the necessity for rigorous environmental analysis. Such assessments are essential to validate their sustainability from a circular economy perspective using LCA.
{"title":"Eco-friendly Conductive biopolymer nanocomposites and Life Cycle Assessment: a review","authors":"R. Farhat , S.A.E. Boyer , A. Burr , M. Batistella , J.M. Lopez-Cuesta","doi":"10.1016/j.cesys.2025.100383","DOIUrl":"10.1016/j.cesys.2025.100383","url":null,"abstract":"<div><div>Conductive bionanocomposites are attracting growing interest as multifunctional materials. They can meet the requirements of electrical applications while supporting sustainable development. This review summarizes recent research on bionanocomposites made from biopolymer matrices and carbon conductive fillers that can be processed by additive manufacturing. These materials offer several advantages, including reduced dependence on fossil resources, possibility of low-impact processing, minimized risks in case of dissemination, and satisfactory electrical properties with low amounts of conductive fillers. However, despite their “green' label, their actual environmental performance has not been fully demonstrated. Only a limited number of comprehensive Life Cycle Assessments (LCA) are available. This review discusses the potential of these materials, while underscoring the necessity for rigorous environmental analysis. Such assessments are essential to validate their sustainability from a circular economy perspective using LCA.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"20 ","pages":"Article 100383"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145750245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.cesys.2025.100372
Sahand Hosouli , Damian Gajdarenko , Klas Ingstorp , Jonna Almqvist , Pietro Bartocci , João Gomes , Philip B. Farrelly , Karen McGillicuddy , Daniel Traas
Poultry feathers represent a substantial keratin-rich waste stream with potential for valorisation into bio-based materials. This study evaluates the environmental performance of three novel feather treatment processes ((Steam Explosion (SE), Microbial Fermentation (MF) and Mechanical Grinding (MG)) intended for producing sustainable bioplastic feedstock, using Life Cycle Assessment. A gate-to-gate analysis compared the processes per 1000 kg feather input across multiple impact categories, including GWP, Acidification Potential (AP), Eutrophication Potential (EP), Respiratory Inorganics, and Water Scarcity. The scope was expanded to cradle-to-gate to include upstream farming impacts and compare results with conventional plastics. Gate-to-gate results showed MG had the lowest impacts for GWP (475 kg CO2 eq.), AP (0.65 kg SO2 eq.), EP (0.08 kg Phosphate eq.), and Respiratory Inorganics, driven by lower energy use. However, MG showed the highest Water Scarcity (7787 m3 world eq.) due to feather washing. MF exhibited the highest GWP (2035 kg CO2 eq.) and Respiratory Inorganics, while SE showed the highest AP (1.25 kg SO2 eq.). Cradle-to-gate, MG and SE offered significant GWP advantages over conventional plastics like PP, LDPE, and HDPE (up to 59 % and 27 % lower GWP, respectively). Similarly, MG and SE demonstrated lower AP (up to 56 % and 48 % lower, respectively) compared to these plastics. However, feather routes showed higher EP when upstream farming impacts were included. In conclusion, MG is the most favourable process regarding climate impact, though its water use is significant. SE provides a balanced alternative. Valorising feather waste offers environmental benefits over conventional plastics, but optimising energy efficiency and water consumption is crucial for enhancing the sustainability of these technologies.
家禽羽毛代表了大量富含角蛋白的废物流,具有转化为生物基材料的潜力。本研究利用生命周期评估方法,评估了用于生产可持续生物塑料原料的三种新型羽毛处理工艺(蒸汽爆炸(SE)、微生物发酵(MF)和机械研磨(MG))的环境性能。一项门对门的分析比较了每1000公斤羽毛输入的过程,涉及多个影响类别,包括GWP、酸化势(AP)、富营养化势(EP)、呼吸无机物和水资源短缺。范围扩大到从摇篮到大门,包括上游农业影响,并与传统塑料进行比较。从门到门的结果显示,MG对GWP (475 kg CO2当量)、AP (0.65 kg SO2当量)、EP (0.08 kg磷酸盐当量)和呼吸无机物的影响最低,这是由于能量消耗较低所致。然而,由于羽毛洗涤,MG表现出最高的缺水程度(7787 m3世界当量)。MF表现出最高的GWP (2035 kg CO2当量)和呼吸无机物,而SE表现出最高的AP (1.25 kg SO2当量)。与PP、LDPE和HDPE等传统塑料相比,从摇篮到大门,MG和SE具有显著的GWP优势(GWP分别降低59%和27%)。同样,与这些塑料相比,MG和SE表现出更低的AP(分别降低56%和48%)。然而,当考虑上游养殖影响时,羽毛路线显示出更高的EP。综上所述,MG工艺对气候的影响是最有利的,尽管它的用水量很大。SE提供了一个平衡的选择。与传统塑料相比,羽毛废物的价值增值具有环境效益,但优化能源效率和水消耗对于提高这些技术的可持续性至关重要。
{"title":"Comparative LCA of feather treatment processes (Steam Explosion, Microbial Fermentation, Mechanical Grinding) for sustainable bioplastic feedstock production","authors":"Sahand Hosouli , Damian Gajdarenko , Klas Ingstorp , Jonna Almqvist , Pietro Bartocci , João Gomes , Philip B. Farrelly , Karen McGillicuddy , Daniel Traas","doi":"10.1016/j.cesys.2025.100372","DOIUrl":"10.1016/j.cesys.2025.100372","url":null,"abstract":"<div><div>Poultry feathers represent a substantial keratin-rich waste stream with potential for valorisation into bio-based materials. This study evaluates the environmental performance of three novel feather treatment processes ((Steam Explosion (SE), Microbial Fermentation (MF) and Mechanical Grinding (MG)) intended for producing sustainable bioplastic feedstock, using Life Cycle Assessment. A gate-to-gate analysis compared the processes per 1000 kg feather input across multiple impact categories, including GWP, Acidification Potential (AP), Eutrophication Potential (EP), Respiratory Inorganics, and Water Scarcity. The scope was expanded to cradle-to-gate to include upstream farming impacts and compare results with conventional plastics. Gate-to-gate results showed MG had the lowest impacts for GWP (475 kg CO<sub>2</sub> eq.), AP (0.65 kg SO<sub>2</sub> eq.), EP (0.08 kg Phosphate eq.), and Respiratory Inorganics, driven by lower energy use. However, MG showed the highest Water Scarcity (7787 m3 world eq.) due to feather washing. MF exhibited the highest GWP (2035 kg CO<sub>2</sub> eq.) and Respiratory Inorganics, while SE showed the highest AP (1.25 kg SO<sub>2</sub> eq.). Cradle-to-gate, MG and SE offered significant GWP advantages over conventional plastics like PP, LDPE, and HDPE (up to 59 % and 27 % lower GWP, respectively). Similarly, MG and SE demonstrated lower AP (up to 56 % and 48 % lower, respectively) compared to these plastics. However, feather routes showed higher EP when upstream farming impacts were included. In conclusion, MG is the most favourable process regarding climate impact, though its water use is significant. SE provides a balanced alternative. Valorising feather waste offers environmental benefits over conventional plastics, but optimising energy efficiency and water consumption is crucial for enhancing the sustainability of these technologies.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"19 ","pages":"Article 100372"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145690355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study examines the relationships between environmental and greenwashing practices, perceptions of biodegradable material, and their influence on consumer purchase intention. A structural equation model was developed to assess these relationships, using data from a sample of 250 consumers in Cali, Colombia. Key findings indicate that consumers value authentic sustainability initiatives but express distrust toward superficial or misleading claims (greenwashing). Interestingly, greenwashing exhibited a positive influence on purchase intention, likely due to low consumer awareness in the local context. Additionally, the poor performance and functional limitations of biodegradable material negatively affected purchase intentions. In conclusion, while consumer interest in sustainability is increasing, the functional shortcomings of biodegradable products contribute to dissatisfaction. Companies should focus on improving the quality and functionality of sustainable offerings, enhancing transparency, and exploring durable alternatives to build trust and promote genuine sustainability.
{"title":"Genuine sustainability VS. Greenwashing: Consumer responses to environmental practices and biodegradable material in Colombian service firms","authors":"Edinson Delgado Martínez , Madeline Melchor Cardona , María Fernanda Plazas Ramírez , Verónica Baracaldo Quiceno","doi":"10.1016/j.cesys.2025.100375","DOIUrl":"10.1016/j.cesys.2025.100375","url":null,"abstract":"<div><div>This study examines the relationships between environmental and greenwashing practices, perceptions of biodegradable material, and their influence on consumer purchase intention. A structural equation model was developed to assess these relationships, using data from a sample of 250 consumers in Cali, Colombia. Key findings indicate that consumers value authentic sustainability initiatives but express distrust toward superficial or misleading claims (greenwashing). Interestingly, greenwashing exhibited a positive influence on purchase intention, likely due to low consumer awareness in the local context. Additionally, the poor performance and functional limitations of biodegradable material negatively affected purchase intentions. In conclusion, while consumer interest in sustainability is increasing, the functional shortcomings of biodegradable products contribute to dissatisfaction. Companies should focus on improving the quality and functionality of sustainable offerings, enhancing transparency, and exploring durable alternatives to build trust and promote genuine sustainability.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"19 ","pages":"Article 100375"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.cesys.2025.100374
Laila El Warraqi, Elisa Negri, Paolo Rosa, Sergio Terzi
Recently, both academic and scientific debates have been strongly focused on the issue of electronic waste, given the significant environmental and economic challenges associated with it, encouraging therefore circular economy (CE) practices at their end-of-life management. Smart waste management has emerged thanks to the rapid development of digital technologies. Among these, thanks to their capabilities, Digital Twins (DTs) have recently emerged as promising for advancing CE initiatives; however, their functionalities in the electronics sector in supporting CE practices have not been analysed to a great extent. This article aims to provide a comprehensive view on current functionalities of DTs across electronic devices lifecycle, assessing how and for which purpose they are applied, highlighting challenges to CE. The article presents a systematic literature review which focuses on DT functionalities such as level of application (i.e., component, product, process levels), lifecycle phases supported, and the types of data collected in current DT applications. The main findings reveal that most of current DT implementations overlook CE aspects, mainly due to the limited data reuse across lifecycles. Building on these results, the paper proposes a conceptual scheme of guidelines that systemically incorporates DTs into CE workflows, optimizing their use for enhanced circularity throughout electronic devices lifecycle at different levels of application. The developed analysis aims at presenting how to advance DTs as enablers of circularity and provides practical insights for electronics value chain actors in transitioning toward circular practices, by leveraging the potentials of DTs.
{"title":"The role of Digital Twins in electronic devices lifecycle: unlocking potential for Circular Economy practices","authors":"Laila El Warraqi, Elisa Negri, Paolo Rosa, Sergio Terzi","doi":"10.1016/j.cesys.2025.100374","DOIUrl":"10.1016/j.cesys.2025.100374","url":null,"abstract":"<div><div>Recently, both academic and scientific debates have been strongly focused on the issue of electronic waste, given the significant environmental and economic challenges associated with it, encouraging therefore circular economy (CE) practices at their end-of-life management. Smart waste management has emerged thanks to the rapid development of digital technologies. Among these, thanks to their capabilities, Digital Twins (DTs) have recently emerged as promising for advancing CE initiatives; however, their functionalities in the electronics sector in supporting CE practices have not been analysed to a great extent. This article aims to provide a comprehensive view on current functionalities of DTs across electronic devices lifecycle, assessing how and for which purpose they are applied, highlighting challenges to CE. The article presents a systematic literature review which focuses on DT functionalities such as level of application (i.e., component, product, process levels), lifecycle phases supported, and the types of data collected in current DT applications. The main findings reveal that most of current DT implementations overlook CE aspects, mainly due to the limited data reuse across lifecycles. Building on these results, the paper proposes a conceptual scheme of guidelines that systemically incorporates DTs into CE workflows, optimizing their use for enhanced circularity throughout electronic devices lifecycle at different levels of application. The developed analysis aims at presenting how to advance DTs as enablers of circularity and provides practical insights for electronics value chain actors in transitioning toward circular practices, by leveraging the potentials of DTs.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"19 ","pages":"Article 100374"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.cesys.2025.100370
S. Falasco, A. Saladini, P. Caputo, B. Mura, G. Ferla
The food sector plays a crucial role in environmental, social, and economic sustainability, yet Small and Medium Enterprises (SMEs) often face challenges in adopting existing assessment tools due to their complexity and data requirements. To address this, Foodmeter was developed as a web-based decision support system that allows SMEs to perform accessible, actionable, and multi-dimensional sustainability assessments. The tool integrates heterogeneous variables following multi-criterial decision analysis principles, providing interpretable results to guide improvement actions and support continuous sustainability tracking. It was tested with a panel of Italian strawberry SMEs, leading to the development of Foodmeter 2.0, which includes improved Good Agricultural Practices indicators and report usability. Its effectiveness and user acceptance were evaluated through feedback and statistical analysis. Testing showed that Foodmeter 2.0 assigned lower overall scores (a decrease of 10 percentage points, from 67 % to 57 %) due to stricter scoring criteria, reflecting the completeness of sustainability efforts rather than isolated actions. Feedback based on the Technology Acceptance Model indicated a 13 % increase in Behavioral Intention to use the tool, a positive trend in Perceived Usefulness, and stable Perceived Ease of Use. Overall, Foodmeter 2.0 offers more actionable insights, stronger diagnostic value, and high usability for small-scale agricultural enterprises. Foodmeter demonstrates its potential not only as a reporting tool but also as a decision-support system that, by translating complex sustainability data into actionable insights, empowers farmers to take ownership of their sustainability journey, to identify priorities, and to enhance both environmental and socio-economic performance, contributing to more sustainable agri-food systems.
{"title":"Operationalizing sustainability measurement in the agrifood sector: Insights from the foodmeter tool","authors":"S. Falasco, A. Saladini, P. Caputo, B. Mura, G. Ferla","doi":"10.1016/j.cesys.2025.100370","DOIUrl":"10.1016/j.cesys.2025.100370","url":null,"abstract":"<div><div>The food sector plays a crucial role in environmental, social, and economic sustainability, yet Small and Medium Enterprises (SMEs) often face challenges in adopting existing assessment tools due to their complexity and data requirements. To address this, Foodmeter was developed as a web-based decision support system that allows SMEs to perform accessible, actionable, and multi-dimensional sustainability assessments. The tool integrates heterogeneous variables following multi-criterial decision analysis principles, providing interpretable results to guide improvement actions and support continuous sustainability tracking. It was tested with a panel of Italian strawberry SMEs, leading to the development of Foodmeter 2.0, which includes improved Good Agricultural Practices indicators and report usability. Its effectiveness and user acceptance were evaluated through feedback and statistical analysis. Testing showed that Foodmeter 2.0 assigned lower overall scores (a decrease of 10 percentage points, from 67 % to 57 %) due to stricter scoring criteria, reflecting the completeness of sustainability efforts rather than isolated actions. Feedback based on the Technology Acceptance Model indicated a 13 % increase in Behavioral Intention to use the tool, a positive trend in Perceived Usefulness, and stable Perceived Ease of Use. Overall, Foodmeter 2.0 offers more actionable insights, stronger diagnostic value, and high usability for small-scale agricultural enterprises. Foodmeter demonstrates its potential not only as a reporting tool but also as a decision-support system that, by translating complex sustainability data into actionable insights, empowers farmers to take ownership of their sustainability journey, to identify priorities, and to enhance both environmental and socio-economic performance, contributing to more sustainable agri-food systems.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"19 ","pages":"Article 100370"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.cesys.2025.100381
M. Menegaldo , E. Giubilato , L. Pizzol , A. Zabeo , E. Badetti , E. Semenzin
Implementing the EC Safe and Sustainable by Design (SSbD) framework from the early design phase of innovative solutions remains challenging. Although various methods to evaluate safety and sustainability exist, their integration throughout the innovation process, especially during the early stages at low Technology Readiness Levels (TRLs), is often hindered by time constraints, limited resources, the need for multidisciplinary expertise, and uncertainty in data availability and quality.
This study presents the Screening Sustainability Assessment (SSA), a screening-level method developed to support early-stage innovation by integrating functionality, safety, and sustainability aspects in product design. The SSA combines semi-quantitative scoring with targeted SSbD-oriented questions, enabling structured assessment across all life cycle stages. Each aspect is evaluated through specific criteria and questions, scored on a five-level scale, fostering informed stakeholder dialogue and supporting the early integration of SSbD objectives. The SSA was applied to assess two innovative bio-based protective coatings against a fossil-based benchmark. These products are intended for the preventive and remedial conservation of cultural heritage surfaces, a sector where traditional materials often present limitations in terms of durability, and sustainability performance. The application of the SSA method to the case study demonstrates its effectiveness in identifying SSbD performance and critical areas for improvement throughout the product life cycle. Although designed for the cultural heritage sector, the methodology is transferable to other fields facing similar challenges. It contributes to the broader goal of operationalizing the SSbD framework by offering a tool for embedding safety and sustainability considerations into innovation processes from the outset.
{"title":"Screening sustainability assessment of innovative bio-based solutions for art restoration within the EC SSbD framework","authors":"M. Menegaldo , E. Giubilato , L. Pizzol , A. Zabeo , E. Badetti , E. Semenzin","doi":"10.1016/j.cesys.2025.100381","DOIUrl":"10.1016/j.cesys.2025.100381","url":null,"abstract":"<div><div>Implementing the EC Safe and Sustainable by Design (SSbD) framework from the early design phase of innovative solutions remains challenging. Although various methods to evaluate safety and sustainability exist, their integration throughout the innovation process, especially during the early stages at low Technology Readiness Levels (TRLs), is often hindered by time constraints, limited resources, the need for multidisciplinary expertise, and uncertainty in data availability and quality.</div><div>This study presents the Screening Sustainability Assessment (SSA), a screening-level method developed to support early-stage innovation by integrating functionality, safety, and sustainability aspects in product design. The SSA combines semi-quantitative scoring with targeted SSbD-oriented questions, enabling structured assessment across all life cycle stages. Each aspect is evaluated through specific criteria and questions, scored on a five-level scale, fostering informed stakeholder dialogue and supporting the early integration of SSbD objectives. The SSA was applied to assess two innovative bio-based protective coatings against a fossil-based benchmark. These products are intended for the preventive and remedial conservation of cultural heritage surfaces, a sector where traditional materials often present limitations in terms of durability, and sustainability performance. The application of the SSA method to the case study demonstrates its effectiveness in identifying SSbD performance and critical areas for improvement throughout the product life cycle. Although designed for the cultural heritage sector, the methodology is transferable to other fields facing similar challenges. It contributes to the broader goal of operationalizing the SSbD framework by offering a tool for embedding safety and sustainability considerations into innovation processes from the outset.</div></div>","PeriodicalId":34616,"journal":{"name":"Cleaner Environmental Systems","volume":"19 ","pages":"Article 100381"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145690409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}