Journal of Cleaner Production最新文献

{"title":"Life cycle assessment for disposal of polypropylene food packaging plastic waste","authors":"Shabbah Begum,&nbsp;Zishan Shaikh,&nbsp;Mihir Herlekar,&nbsp;Mahakim Marzuki,&nbsp;Nor Yuliana Yuhana,&nbsp;Kailas Kaletwar","doi":"10.1016/j.jclepro.2026.149817","DOIUrl":"10.1016/j.jclepro.2026.149817","url":null,"abstract":"<div><div>Polypropylene (PP) food packaging represents a substantial portion of short-lived plastic waste, imposing considerable environmental challenges at the end-of-life phase. This study employs an attributional life cycle assessment (LCA) to evaluate the environmental performance of three end-of-life treatment options for post-consumer polypropylene food packaging waste: landfilling, incineration, and mechanical recycling. The analysis utilises a functional unit of 1 kg of post-consumer polypropylene waste, with system limits confined to collection, transportation, treatment activities, and direct emissions. Life cycle inventory data were modelled in OpenLCA with Ecoinvent v3.x datasets, and environmental consequences were assessed employing the Environmental Footprint (EF) 3.0 midpoint technique across categories of climate change, acidification, eutrophication, particulate matter production, and ozone depletion. The findings indicate a consistent environmental hierarchy of mechanical recycling &lt; landfilling &lt; incineration across all evaluated impact categories. Mechanical recycling demonstrated the minimal climate change impact (1.829 kg CO₂-eq kg⁻¹ PP waste), realising an estimated 20% decrease relative to landfill disposal and significantly reduced emissions compared to incineration (2.449 kg CO₂-eq kg⁻¹). Comparable decreases were noted in acidification, eutrophication, and particulate matter generation, chiefly attributable to the mitigation of combustion-related emissions and enhanced material value retention within the technosphere. Sensitivity study further validated that elevated recycling rates are the primary determinant affecting environmental performance. The findings indicate that, from the standpoint of cleaner manufacturing and a circular economy, mechanical recycling is the most effective means of minimising the environmental impact of polypropylene packaging systems. The study illustrates the policy significance of incorporating recycling targets, Extended Producer Responsibility, and design-for-circularity initiatives into packaging waste regulation, facilitating the shift from linear disposal systems to regenerative material flows.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149817"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149291000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A model-driven simulation and requalification-decision framework for reuse of shelf-life-expired carbon-fibre prepregs in composite manufacturing","authors":"Alexandros Chachalis,&nbsp;Nikolaos Sifakis,&nbsp;George Tsinarakis,&nbsp;Maria Aryblia,&nbsp;Silvio Pappadà,&nbsp;George Arampatzis","doi":"10.1016/j.jclepro.2026.149841","DOIUrl":"10.1016/j.jclepro.2026.149841","url":null,"abstract":"<div><div>Circular composite manufacturing needs decision support that turns the uncertain condition of a recovered feedstock into production decisions. Shelf-life-expired carbon-fibre prepreg is a demanding case: each batch must be accepted, re-qualified under an adjusted process window, or rejected before it enters the line, and the information behind that decision is spread across organisations. This paper presents a model-based proof of concept of a simulation and requalification-decision framework. It couples an out-life degradation state model, a requalification and process-window decision layer, a mass-conserving material-flow model of eight unit operations and a first-time-right quality-risk module, and specifies the traceability service through which four partners share the records the decision needs. It is demonstrated on an Italian pilot reusing expired prepreg for drone components. The operational series and the out-life calibration data are synthetic, unit costs are illustrative and no part-level mechanical property was measured; 30 measured coupon-level requalification tests benchmark the out-life layer. Per 1000 kg of expired feedstock the reference case returns 149 kg of moulded output, 125 kg of it conforming, with the moulding conversion carried as a disclosed band of 0.21–0.79 (149–560 kg). For a proportional conversion, ratio results hold across that band: expired feedstock yields 84.0% of a virgin control, a value set by the admission rate, and a first-time-right cap reduces scrap by 40% for a 9% output loss under the stated parameters. In the measured tests, void content ordered the usability labels across four resin systems. Rising energy prices favour reuse in a directional screen.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149841"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149291155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cleaner and resource-efficient copper recovery in industrial electrowinning through explainable safe reinforcement learning","authors":"Zhezhen Yan,&nbsp;Jincheng Lu,&nbsp;Han Cheng,&nbsp;Jiaqi Liao,&nbsp;BaoJun Ma,&nbsp;Ning Duan,&nbsp;Fuyuan Xu","doi":"10.1016/j.jclepro.2026.149849","DOIUrl":"10.1016/j.jclepro.2026.149849","url":null,"abstract":"<div><div>Industrial copper electrowinning for electrolyte purification must coordinate copper recovery, arsenic retention in solution, electricity use, profitability, and process safety across operating configurations. This study develops an explainable safe reinforcement learning framework for constrained multi-objective optimization (ESRL-CMO). Using 1978 plant records, nine condition-specific ExtraTrees models predict outlet copper and arsenic concentrations and system voltage. Shapley-based and partial dependence analyses inform process interpretation, while a preference-conditioned policy trained by proximal policy optimization with Lagrangian constraints coordinates four objectives and five constraints within the surrogate environment. Training is performed offline, and candidate recommendations are intended for operator review. Random-holdout R² values were 0.83-0.90; a separate chronological evaluation identified sensitivity to changing production regimes. ESRL-CMO achieved higher hypervolume and lower Spacing than the reference vector guided evolutionary algorithm (RVEA) under all three configurations. Under Condition 2, predicted batch electricity consumption was 43.1% lower than Non-dominated Sorting Genetic Algorithm II (NSGA-II) at inlet copper concentrations of 50-55 g/L. With batch electricity consumption capped at 2579 kWh, predicted net profit was 90.3% higher than historical operation. In simulated feed-disturbance tests, fixed-policy re-inference retained feasibility rates of 0.990-1.000 and reduced electricity consumption by 5.1-6.9% relative to static NSGA-II recommendations. The framework supports lower energy demand, reduced copper losses to arsenic-bearing residues, and safer electrochemical production.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149849"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149358750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioinspired multiscale leaf-vein sensor with rigid island/soft matrix architecture for multimodal sensing","authors":"Yi Zheng,&nbsp;Chundi Pan,&nbsp;Shuobin Zhu,&nbsp;Yingying Yu,&nbsp;Yanjuan Dong,&nbsp;Wenjie Li,&nbsp;Hongjian Zhang,&nbsp;Erzhen Liang,&nbsp;Lingli Wang,&nbsp;Hou-Yong Yu","doi":"10.1016/j.jclepro.2026.149843","DOIUrl":"10.1016/j.jclepro.2026.149843","url":null,"abstract":"<div><div>Inspired by the multiscale architecture of natural leaf venation, we developed a bioinspired electronic skin sensor, denoted LPCP, that integrates pressure, temperature, humidity, and NH₃ sensing in a single platform. A polypyrrole (PPy)-coated leaf-vein framework was constructed by in situ vapor-phase polymerization and combined with a polyvinyl alcohol (PVA) matrix reinforced with cellulose nanocrystals (CNCs), forming a skin-inspired rigid-island/soft-matrix architecture. The hierarchical framework provides conductive pathways, while the PVA/CNC matrix reinforces the spaces between veins. LPCP exhibited main-vein conductivity of 7.81 S m⁻¹, resolved temperature changes of 0.1 °C, and responded to NH₃ over 10–100 ppm. The humidity response followed two fitted regimes, with sensitivities of −0.686 and −2.019% (% RH)⁻¹ over relative humidity (RH) ranges of 20–55% and 55–85%, respectively. Conductivity changed by less than 2% after four months of storage. Temperature and humidity responses remained stable under the tested pressures, and handwriting classification achieved an accuracy of 95.3%. Integration with wireless acquisition and a robotic hand demonstrated contact-temperature sensing and signal display. This work presents a leaf-vein-based material architecture for flexible multimodal sensing and human–machine interaction.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149843"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149358912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Positively charged softwood fibers prepared via PFI refining-assisted cationization as green additives for improved retention, drainage and strength of low-grade straw pulp","authors":"Luxuan Guo,&nbsp;Changgeng Li,&nbsp;He Zhang,&nbsp;Lingzhi Huang,&nbsp;Wenchao Jia,&nbsp;Lu Wu,&nbsp;Weidong Ma,&nbsp;Haiqiang Shi","doi":"10.1016/j.jclepro.2026.149846","DOIUrl":"10.1016/j.jclepro.2026.149846","url":null,"abstract":"<div><div>Reed pulp fibers are characterized by short fibers, high negative charge, a high content of fines and parenchyma cells, so that a substantial quantity of chemical additives to compensate for the consequent low fiber retention rate and challenging water filtration issues. However, such high additive dosages escalate production costs and intensify wastewater treatment burdens. This study aimed to develop a bio-based multifunctional retention and drainage aid by mechanically refining softwood kraft pulp fibers using a PFI mill, followed by etherification with 3-chloro-2-hydroxypropyltrimethylammonium chloride in an alkaline aqueous system. PFI refining promoted external fibrillation, increased active hydroxyl content from 95.84 to 151.81 mgKOH/g, and decreased crystallinity from 75.00% to 69.42%. Following cationization, the fibers exhibited a zeta potential of +32.80 mV and a charge density of 69.33 μeq/g. The cationic fibers were blended with reed pulp for papermaking, the drainage rate was enhanced to 4.23 mL/s, with reduced the filtrate turbidity and absorbance to 3.40 NTU and 0.008, respectively. These improvements are attributed to electrostatic adsorption and physical entanglement between the cationic fibers and reed pulp fibers. At the optimal ratio (reed pulp:CF 53.8 °SR = 2:1), the burst, tensile, and tear indices reached 2.264 kPa m²/g, 33.367 N m/g, and 7.96 mN m²/g, corresponding to increases of 92%, 152%, and 143%, respectively, compared with pure reed pulp sheets. PFI-pretreated cationic fibers enhance retention, drainage, and strength, thereby providing a bio-based strategy for the utilization of agricultural residue pulp.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149846"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149352277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Upcycling agricultural biomass waste into sustainable carbon dots with dual-color emission for optical security applications","authors":"Junlin Luo,&nbsp;Shutong Zu,&nbsp;Xiaoqi Wang,&nbsp;Wennian Chen,&nbsp;Qingqing Lu,&nbsp;Jiuyin Pang","doi":"10.1016/j.jclepro.2026.149784","DOIUrl":"10.1016/j.jclepro.2026.149784","url":null,"abstract":"<div><div>Upcycling agricultural biomass waste into value-added functional materials represents a promising pathway toward sustainable development. Herein, carbon quantum dots (CQDs) were fabricated from xylan that a major hemicellulose component of agricultural residues with via hydrothermal carbonization, followed by surface functional modification with histidine and tea polyphenols. The obtained X-CQDs, NX-CQDs, NX/His-CQDs, and NX/TP-CQDs exhibited well-dispersed nanoscale morphologies with average sizes of 6.44-10.13 nm. Structural analyses confirmed disordered carbon domains with abundant oxygen- and nitrogen-containing surface groups. Photoluminescence was strongly temperature-dependent, and 180 °C was identified as the optimal hydrothermal temperature for achieving enhanced fluorescence emission. Compared with native xylan-derived CQDs, those derived from Nano-xylan showed enhanced UV-vis absorption, stronger fluorescence, and prolonged lifetime, indicating that precursor nanostructuring promoted more stable emissive centers. Fluorescence quantum yields reached 3.92%, 8.35%, 11.76%, and 9.18% for X-CQDs, NX-CQDs, NX/His-CQDs, and NX/TP-CQDs, respectively. Histidine modification enhanced blue emission, while tea polyphenol-assisted surface regulation induced red-shifted green emission. The CQD-based waterborne inks enabled invisible QR-code printing, handwriting encryption, and multi-substrate anti-counterfeiting under UV irradiation, offering a sustainable strategy for converting agricultural biomass into fluorescent security materials.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149784"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149291002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Major olive mill aqueous effluents as industrial sources of hydroxytyrosol, 3,4-dihydroxyphenylglycol and tyrosol for circular valorisation","authors":"África Fernández-Prior,&nbsp;Alejandra Bermúdez-Oria,&nbsp;Juan Fernández-Bolaños,&nbsp;Fátima Rubio-Senent,&nbsp;Antonio Lama-Muñoz,&nbsp;María Antonia Mateo Cosano,&nbsp;Guillermo Rodríguez-Gutiérrez","doi":"10.1016/j.jclepro.2026.149805","DOIUrl":"10.1016/j.jclepro.2026.149805","url":null,"abstract":"<div><div>The selective recovery of valuable chemicals from waste streams is a central objective of Green Chemistry, particularly when waste prevention and the use of renewable feedstocks can be combined. In two-phase olive oil extraction systems, several aqueous effluents are generated that are commonly treated as waste despite their significant organic and phenolic content.</div><div>In this work, four industrial effluents—olive washing water (OWW), hopper drip water (HDW), vertical centrifuge water (VCW) and oil decanting water (ODW)—were systematically characterised in six olive oil mills over two consecutive production seasons to evaluate their potential as sources of bioactive phenolic compounds. HDW exhibited the highest phenolic concentration, reaching up to 3.5 g/L, together with elevated sugar contents, identifying it as the most promising stream for the recovery of hydroxytyrosol (HT) and 3,4-dihydroxyphenylglycol (DHPG). VCW, although more diluted, was generated in the largest volumes and contained substantial amounts of both compounds, while ODW showed an unusual predominance of DHPG over HT, enabling selective recovery.</div><div>An industrial chromatographic process was optimised to maximise phenolic retention and HT purity in the most concentrated streams. Based on national production data, the valorisation of these effluents could enable the recovery of up to 80 t/year of HT and 56 t/year of DHPG.</div><div>Overall, this study highlights the potential of phenolic recovery to support waste valorisation strategies and facilitate subsequent wastewater management within a circular-economy framework.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149805"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149291132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mine planning for responsible resource development: Integrated economic and sustainability-aware block valuation for open-pit to underground transition","authors":"Naser Badakhshan,&nbsp;Ezzeddin Bakhtavar,&nbsp;Kourosh Shahriar,&nbsp;Hassan Khosravi,&nbsp;Ahlam Maremi,&nbsp;Eugene Ben-Awuah,&nbsp;W. Scott Dunbar","doi":"10.1016/j.jclepro.2026.149810","DOIUrl":"10.1016/j.jclepro.2026.149810","url":null,"abstract":"<div><div>Mine planning involves high-stakes decisions under geological, economic, operational, and sustainability-related uncertainties. Conventional optimization frameworks rely on simplified block economic value (BEV) models that omit geomechanical variability, metallurgical responses, multi-element contributions, and environmental and social externalities. This paper introduces the Comprehensive Net Block Value (CNBV) framework, which extends conventional block economic valuation through a comprehensive representation of block value. CNBV extends the conventional BEV formulation through five value-modifying modules: (i) a Rock Cost Index (RCI) for cost scaling based on material properties; (ii) an Extra Substance Impact Coefficient (ESIC) capturing recovery penalties from undesirable material content; (iii) penalty functions for deleterious elements under different mining and processing pathways; (iv) generalized by-product and co-product contributions; and (v) monetized environmental and social costs. The framework is applied to the transition from open-pit to block caving by extending the model of Badakhshan et al. (2024) and demonstrated on a large-scale copper deposit. The CNBV model identifies an optimal transition at 725 m, with a 22-year mine life, extracting 510 Mt at 0.50% grade, a stripping ratio of 1.22, and an NPV of USD 6.80 billion. In contrast, the BEV model suggests a deeper transition at 887.5 m, a higher stripping ratio of 1.64, a lower grade of 0.46%, and a higher NPV of USD 7.51 billion. The 162.5 m difference demonstrates the influence of incorporating additional value-modifying factors into block valuation. Sensitivity analysis shows that cost scaling and multi-element contributions most influence NPV, while environmental and social costs gain importance under stricter regulations.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149810"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149352276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shifting from unilateral defense to collaborative governance by decoding spatially asymmetric risks of transboundary forest and grassland fires","authors":"Qing Zhou,&nbsp;Qingjiu Tian,&nbsp;Jia Tian","doi":"10.1016/j.jclepro.2026.149850","DOIUrl":"10.1016/j.jclepro.2026.149850","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Wildfire spread is not constrained by administrative borders, yet its assessment and management remain largely organized within national jurisdictions. This mismatch limits understanding of how connected fuels, seasonal fire conditions, and differences in management capacity jointly shape asymmetric risks across borders. We developed an integrated spatial–seasonal and explainable machine-learning framework to assess MODIS-detectable fire activity along the China–Russia, China–Mongolia, China–North Korea, and China–Kazakhstan borders from 2001 to 2024. MODIS Collection 6.1 active-fire records were integrated with vegetation, topographic, accessibility, socioeconomic, and land-cover variables. Spatial point-pattern analysis and Optimized Hot Spot Analysis were used to identify clustering scales and significant concentrations of historical fire activity, while seasonal association analysis, XGBoost, and SHAP were used to characterize seasonal fire regimes, model relative fire susceptibility, and interpret nonlinear predictor associations. Model robustness was evaluated using conventional random splitting and nested 100-km spatial block cross-validation, complemented by block-size sensitivity analysis, empirical spatial-dependence diagnostics, and MODIS observation-quality screening of background samples. The results reveal pronounced regional heterogeneity and asymmetric cross-border patterns of fire activity and susceptibility. The China–Russia border had the highest fire activity and the broadest clustering extent, with significant clustering persisting throughout the evaluated range up to approximately 200 km and forming a continuous high-susceptibility corridor. The China–Mongolia border showed a distinct spring–autumn bimodal pattern associated with continuous grassland fuels and seasonal dryness, whereas the China–North Korea border exhibited a narrow April peak linked to low vegetation moisture before green-up. In contrast, fire activity along the China–Kazakhstan border was concentrated in summer, while high relative susceptibility was spatially confined to lower-elevation valleys and foothill corridors. SHAP analysis showed that predicted fire susceptibility was associated with nonlinear interactions among vegetation moisture, fuel condition, topography, accessibility, and socioeconomic context. Socioeconomic indicators generally correlated negatively with predicted fire susceptibility, though the strength and form of these relationships varied across border regions depending on local fuel, terrain, and seasonal conditions. Nested spatial block validation yielded more conservative performance estimates than random splitting; nevertheless, sensitivity tests across multiple block sizes and MODIS background-observation filters confirmed that regional discrimination patterns remained robust. These findings suggest that transboundary fire governance should move beyond uniform unilateral defense toward spatially differentiated coordinat","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149850"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149352422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing sustainability in greenhouse agriculture through chemical analysis–driven characterization of boiler biogas fuel strategies","authors":"Mohamed Hafid,&nbsp;Marcel Lacroix","doi":"10.1016/j.jclepro.2026.149825","DOIUrl":"10.1016/j.jclepro.2026.149825","url":null,"abstract":"<div><div>Greenhouses can enhance sustainability and productivity by integrating renewable energy and CO₂ enrichment, which improves photosynthesis and reduces environmental impact. However, existing studies on biogas and methane combustion have not addressed how combustion-derived CO₂ can be strategically managed to meet the coupled thermal and photosynthetic demands of greenhouse crops. In this context, the present study is the first to conduct a parametric analysis of biogas utilization for greenhouse applications, offering a proposed adaptive fuel management strategy hypothesized to support both environmental and economic benefits. To achieve this, a counterflow flame configuration is employed to investigate the combustion characteristics of a greenhouse boiler operating with various methane–biogas fuel mixtures. The detailed Gas Research Institute Mechanism (GRI-Mech 3.0), comprising 53 species and 325 reactions, is utilized to model the reaction kinetics. Detailed thermophysical and transport properties based on fundamental thermodynamics are integrated to accurately capture flame structure and species transport. The model was validated against experimental methane/air flame data, demonstrating good agreement and confirming its predictive accuracy. The effects of (1) CO₂ enrichment, (2) operating pressure, and (3) strain rate on flame temperature and species concentrations (CO₂, CO, NO, and NO₂) are systematically investigated. Findings demonstrate the potential of biogas as a sustainable fuel under characterized conditions: Biogas substitution lowers peak in-flame NO_x and CO concentrations while increasing peak CO₂ concentration, highlighting its potential for CO₂ enrichment. A pressure-sensitivity analysis (1–10 atm) and a proposed adaptive diurnal fuel-switching strategy are also presented. Practical guidelines are proposed to support greenhouse growers in enhancing thermal efficiency and environmental performance.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"583 ","pages":"Article 149825"},"PeriodicalIF":10.7,"publicationDate":"2026-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149352449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}