Cleaner Engineering and Technology最新文献

{"title":"Starch-based hydrogel powder for enhanced dust suppression","authors":"Maedeh Hesami,&nbsp;Ravi Kiran","doi":"10.1016/j.clet.2025.101055","DOIUrl":"10.1016/j.clet.2025.101055","url":null,"abstract":"<div><div>Air pollution from fugitive dust poses a significant health risk to population in arid regions. Conventional chloride-based suppressants offer temporary dust control, leading to soil contamination and infrastructure corrosion. This study proposes the synthesis of a starch-based powder that regenerates into hydrogel for dust mitigation, owing to its agglomeration and crust-forming abilities. The hydrogel was synthesized by thermally degrading amylopectin-rich starch, undergoing a freeze-thaw cycle, and pulverizing into powder. The powder was then added to hot water (&gt;65 °C) at concentrations of 0.5 %, 1 %, 2 %, and 3 % by weight of solution to form regenerated amylopectin starch hydrogel (RASH). Dust suppression performance was evaluated using PI-SWERL (Portable in-situ Wind Erosion Lab) to assess wind erosion rates, and penetration tests to measure crust strength. Results demonstrated that 1 %wt. RASH achieved a 100 % reduction in wind erosion rates, even at speed of 90 km/h. This is attributed to the agglomeration of soil grains and formation of thick crust. <strong>Field tests over 20 days confirmed sustained PM10 suppression in extreme arid conditions (39°C) across various soil types.</strong> <em>As a result,</em> a novel, energy-efficient starch-based dust suppressant is proposed, offering a low-cost and scalable solution for long-term dust control in arid climates.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101055"},"PeriodicalIF":5.3,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703820","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}

{"title":"A sustainable approach to renewable integration in distribution grids through coordinated control of flexibility technologies","authors":"Mohana Alanazi","doi":"10.1016/j.clet.2025.101053","DOIUrl":"10.1016/j.clet.2025.101053","url":null,"abstract":"<div><div>The integration of distributed renewable energy sources (RESs) in distribution networks demands new strategies to address sustainability and grid resilience needs. In this work, a coordinated control method that synergizes dynamic line rating (DLR), soft open points (SOPs), on-load tap changers (OLTCs), battery energy storage systems (BESS), and demand response (DR) is proposed to optimize RES use. The optimization problem is expressed in a mixed-integer second-order cone program (MISOCP) that is solved via global optimum solvers to allow scalability and computational tractability in actual applications. Five scenarios of system operation are simulated on a 33-bus system, progressively adding these technologies to determine their impact on RES penetration, grid reliance, voltage stability, and losses. The key results provide a 19.8 % improvement in utilization of renewable energy and a decrease in upstream grid importation of 18.6 % over static networks. The proposed system is grid independent during hours of maximum RES generation (hours 7–12) and keeps voltage profiles in working limits (0.9–1.1 pu) via OLTC-regulated control and SOP-reactive support. As losses in the system occasionally become higher during high-renewable hours due to high-priority RES inclusion, coordinated control of DR and BESS reduces evening peak importation by 29 %. The outcomes of this work underscore synergistic use of technologies in making low-carbon, resilient distribution networks a reality, providing practical guidance to utilities in moving towards decentralized energy systems.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101053"},"PeriodicalIF":5.3,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633670","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}

{"title":"Aeronautical emissions in Colombia: An assessment of past and future budgets","authors":"Yiniva Camargo Caicedo ,&nbsp;Laura C. Mantilla-Romo ,&nbsp;Jhon Jairo Vargas Sánchez ,&nbsp;Fredy Tovar Bernal ,&nbsp;Andrés M. Vélez-Pereira","doi":"10.1016/j.clet.2025.101051","DOIUrl":"10.1016/j.clet.2025.101051","url":null,"abstract":"<div><div>The aviation sector has experienced rapid growth in the last decade, raising environmental concerns. This study assessed the contribution of aeronautical emissions in Colombia from 2010 to 2023 and projected their evolution until 2030 using the IPCC Tier 3A methodology and an ARIMA model. Emissions for carbon dioxide (CO₂), Nitrogen oxides (NO_X), Carbon monoxide (CO), Sulfur oxides (SO_X), Hydrocarbons (HC), and Particulate Matter (PM) were estimated based on fuel consumption. Results show that the Climb-Cruise-Descent (CCD) cycle accounts for approximately 70 % of fuel consumption and the majority of CO₂ and NOx emissions. At the same time, Colombia's mitigation strategies have primarily focused on the Take-off and Landing (LTO) cycle. Projections indicate a 30 % increase in emissions over the next decade, highlighting the need for more ambitious policies. Measures such as promoting Sustainable Aviation Fuels (SAF) and improving air traffic management appear insufficient to curb emissions growth and align with Colombia's climate commitments under the Paris Agreement.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101051"},"PeriodicalIF":5.3,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632187","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}

{"title":"Functional bio-dyeing of natural fabrics using purple gromwell (Lithospermum erythrorhizon) and natural mordants","authors":"Rong Yang ,&nbsp;Yulong Zheng ,&nbsp;Angkhana Inta ,&nbsp;Jianqin Li ,&nbsp;Lixin Yang","doi":"10.1016/j.clet.2025.101050","DOIUrl":"10.1016/j.clet.2025.101050","url":null,"abstract":"<div><div>Amid the accelerating demand for global sustainability, the conventional textile industry is transitioning to using plant dyes through eco-technological innovations. The rhizome-derived naphthoquinone pigments extracted from the roots of gromwell (<em>Lithospermum erythrorhizon</em> Siebold &amp; Zucc.) exhibit dual functionality as plant dyes and bioactive compounds. In this study, we systematically evaluated both the functional attributes and color performance of gromwell-dyed natural fabrics using natural mordants. We used ultraviolet–visible light spectroscopy and GC–MS to explore the pigment composition of gromwell root extracts and employed an orthogonal experimental design to optimize the extraction and dyeing conditions. We assessed the dyeing properties and functional performance of nine natural and nine metallic mordants by measuring the color depth (<em>K/S</em> value), color characteristics, color fastness, ultraviolet protection, antioxidant and antibacterial activities of dyed fabrics. Shikonin was the main pigment in gromwell roots, and optimal extraction conditions were achieved with a material-to-liquor ratio of 1:10 in 90 % (v/v) ethanol following incubation at 70 °C for 140 min. Optimal dyeing conditions were observed following incubation at pH 7 for 80 min at 80 °C for cotton and pH 7 for 70 min at 70 °C for hemp. Although natural mordants enhanced dyeing properties and antioxidant activity, they resulted in slightly weaker ultraviolet protection than metallic mordants. All mordant-treated fabrics showed excellent colorfastness, whereas color fastness was only moderate for untreated fabrics, except in response to washing. Dyed fabrics without or with mordant have antibacterial effects on <em>S. aureus</em> and <em>E. coli</em>, especially using CuSO₄.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101050"},"PeriodicalIF":5.3,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653923","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}

{"title":"Extraction and purification of omega-3-rich galactolipids from Nannochloropsis oceanica and Medicago sativa using green solvents","authors":"Andres Lopez,&nbsp;Sébastien Marze,&nbsp;Alice Kermarrec,&nbsp;Ha Phuong Ta","doi":"10.1016/j.clet.2025.101049","DOIUrl":"10.1016/j.clet.2025.101049","url":null,"abstract":"<div><div>Large-scale purification of omega-3-rich galactolipids is of growing interest but relies on hazardous solvents. This study presents a scalable and low-toxicity approach using ethanol-based extraction from <em>Medicago sativa</em> and <em>Nannochloropsis oceanica</em>. Pigments were removed using activated carbon, and non-lipid compounds were eliminated via ethyl acetate partitioning. Fractionation was performed on silica gel using <em>n-</em>butyl acetate, ethyl acetate, and acetone. Ethyl acetate fraction yielded 0.57 g (93.6 % α-linolenic acid) and 0.91 g (55.9 % eicosapentaenoic acid) of monogalactosyldiacylglycerols per 100 g of dry biomass of <em>M. sativa</em> and <em>N. oceanica</em>, respectively. Acetone fractions were further purified by anion exchange chromatography using ethanol, yielding 0.41 g (79.5 % α-linolenic acid) and 0.75 g (29.6 % eicosapentaenoic acid) of digalactosyldiacylglycerols per 100 g of dry <em>M. sativa and N. oceanica</em>, respectively. The high purity of galactolipid fractions was demonstrated by high-performance liquid chromatography and high-performance thin-layer chromatography. To the best of our knowledge, this is the first complete purification process for galactolipids that relies exclusively on green solvents and is suitable for preparative scale.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101049"},"PeriodicalIF":5.3,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653910","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}

{"title":"Fast and automatic solar module geo-labeling for optimized large-scale photovoltaic systems inspection from UAV thermal imagery using deep learning segmentation","authors":"Zoubir Barraz ,&nbsp;Imane Sebari ,&nbsp;Nassim Lamrini ,&nbsp;Kenza Ait El Kadi ,&nbsp;Ibtihal Ait Abdelmoula","doi":"10.1016/j.clet.2025.101048","DOIUrl":"10.1016/j.clet.2025.101048","url":null,"abstract":"<div><div>Photovoltaics (PV) are among the primary renewable and clean energy sources deployed globally, requiring frequent and efficient inspections to maintain optimal performance. Inspections conducted with unmanned aerial vehicles (UAVs) are optimized for large-scale installations, but they generate large datasets that are time-consuming to label manually. This study introduces a novel automatic geo-labeling approach of raw Infrared (IR) UAV imagery. It includes adaptive thresholding and edge refinement with photogrammetric data to automatically detect and geo-localize individual solar modules, without the need for manual annotation. The resulting auto-labeled images are then used to train and compare Deep Learning detectors for module-level segmentation. Among the tested models, Yolov7 demonstrated the best performance, achieving a mean Average Precision (mAP) of 98.33 %, with an inference time of only 15 ms, proving its suitability for real-time applications and integration within the inspection process. The dataset used for training includes UAV-based IR imagery from both ground-mounted and roof-mounted photovoltaic systems. The proposed approach accelerates the data preparation process and enables accurate on-site module localization, making it highly practical for automated PV inspection pipelines.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101048"},"PeriodicalIF":5.3,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632184","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}

{"title":"Techno-economic analysis of mobile street cleaner (mSC) for sustainable municipal solid waste litter management","authors":"Deval Jugraj Singh ,&nbsp;Anil Kumar Dikshit ,&nbsp;Mohan B. Dangi ,&nbsp;George Tchobanoglous ,&nbsp;Sunil Kumar","doi":"10.1016/j.clet.2025.101047","DOIUrl":"10.1016/j.clet.2025.101047","url":null,"abstract":"<div><div>The rapid increase in municipal solid waste (MSW) litter generation has led to substantial issues related to mismanagement in collection and disposal practices. Growing urban populations and shifting consumption patterns have created an increasing financial burden on local authorities responsible for managing MSW litter efficiently. Therefore, a sustainable technological solution is urgently needed to enhance collection efficiency, promote recycling, and reduce environmental impact. This study conducted a techno-economic analysis of a mobile street cleaner (mSC) designed to improve the efficiency of MSW litter collection. The aim was to evaluate the cost-effectiveness, operational performance, and financial feasibility of deploying mSC in urban areas. Life cycle cost (LCC) analysis was performed considering four major segments: acquisition and manufacturing cost (AMC), operational cost (OC), maintenance cost, and salvage cost of the product. The total LCC of mSC was INR 2.48 x 10⁶/year. Percentage contribution from AMC and OC was 40–45 % (INR 1.125 × 10⁶/year) and 47–52 % (INR 1.28 × 10⁶/year) to LCC. From sensitivity analysis, it was found that a 15–25 % reduction in AMC through government subsidiary schemes could result in a 10–12 % reduction in LCC. Additionally, a cost-benefit analysis was performed considering revenue gain from the collection of recyclable MSW litter and rental charges. The break-even point and net present value revealed that the mSC unit can achieve profitability within 3.5–7 years. The study could serve as a valuable resource for technocrats, policymakers, and researchers offering insights that can guide innovations and decision-making to achieve efficient and sustainable MSW litter management.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101047"},"PeriodicalIF":5.3,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665743","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}

{"title":"Collaboration or competition? Low-carbon platform regulations and pricing decisions in environmental, social, and governance (ESG)","authors":"Kai Cao ,&nbsp;Yanlan Mei ,&nbsp;Yang Liu","doi":"10.1016/j.clet.2025.101044","DOIUrl":"10.1016/j.clet.2025.101044","url":null,"abstract":"<div><div>This study explores the impact of green platform regulatory policies and cooperation strategies within Environmental, Social, and Governance (ESG) on the platform, consumers, and the seller, as well as optimal pricing strategies for the platform and seller. Using game theory, three supply chain models under ESG constraints are examined through numerical simulations. Key findings show that: (1) In Non-cooperation model (Model N), rising consumer environmental awareness (CEA) boosts green sales but reduces platform profits due to high emission costs. (2) In the Non-green Cooperation Model (Model B), stricter platform controls and elevated fines on the seller can lead to reduced prices of non-green products. (3) In the Green Cooperation Model (Model G), a low commission fee can disadvantage the platform. As the seller integrates into the ESG system and the market offers only low-carbon products, competition intensifies between the platform and sellers, potentially decreasing sales. (4) Interestingly, three models have the potential to achieve a triple-win outcome. The platform prefers green cooperative or competitive strategies when ESG investment costs are manageable. Model E extends the analysis with equal platform-seller ESG participation. Numerical analysis confirms the robustness of core profit-commission findings under shared emission-reduction costs, even with parameter variations. This study highlights how different strategies impact competition and cooperation dynamics, providing insights for balancing profitability and social welfare.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101044"},"PeriodicalIF":5.3,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632185","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}

{"title":"Artificial intelligence-based prediction of hydrogen uptake of metal organic frameworks with high volumetric storage density for fuel cell systems","authors":"Hossein Sarvi ,&nbsp;Sajad Dehdari ,&nbsp;Mehdi Maleki ,&nbsp;Marzieh Baziari ,&nbsp;Yousef Kazemzadeh","doi":"10.1016/j.clet.2025.101037","DOIUrl":"10.1016/j.clet.2025.101037","url":null,"abstract":"<div><div>The growing release of greenhouse gases from hydrocarbon use has intensified the demand for clean and sustainable energy solutions. Hydrogen, with its high energy output and eco-friendly combustion byproducts, stands out as a promising candidate. However, storing hydrogen, especially for vehicles, poses significant challenges due to the safety risks of high-pressure systems. Metal-organic frameworks (MOFs) offer a potential solution, enabling hydrogen storage at lower pressures through their porous structures. Yet, achieving optimal volumetric storage density while balancing material design and operational conditions remains a critical issue. This study presents an advanced predictive model for hydrogen storage (HS) capacity, leveraging a dataset of 14,544 synthesized MOF porous crystals and 10 key material properties. Machine learning (ML) techniques, including Linear Regression (LR), Artificial Neural Networks (ANN), Random Forest (RF), Support Vector Regression (SVR), LSBoost, and their hybrid versions combined with Particle Swarm Optimization (PSO), were applied to model hydrogen uptake across 18 operational conditions (OCs). The models were rigorously evaluated using metrics such as R², RMSE, MSE, and MAE, demonstrating exceptional accuracy in predicting HS performance. The results underscore the significant impact of thermodynamic factors (pressure and temperature), material density, pore size, and surface characteristics on hydrogen adsorption in MOFs. Hybrid ML models, particularly ANN-PSO and RF-PSO, outperformed traditional methods, delivering more precise and reliable predictions. Additionally, this study introduces a novel approach by averaging multiple training runs and testing various data percentages, ensuring the robustness and consistency of the models. These findings highlight the transformative potential of ML-driven models in optimizing hydrogen storage processes, offering a pathway to safer and more efficient hydrogen fuel cell systems. By integrating AI into hydrogen storage research, this work provides valuable insights and advances the development of sustainable energy technologies, addressing critical challenges in the transition to clean energy.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101037"},"PeriodicalIF":5.3,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611925","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}

{"title":"Retraction notice to “Middle East energy consumption and potential renewable sources: An overview” [Clean Eng. Technol. (12), February 2023, 100599]","authors":"Qusay Hassan ,&nbsp;Mohammed Al-Hitmi ,&nbsp;Vahid Sohrabi Tabar ,&nbsp;Aws Zuhair Sameen ,&nbsp;Hayder M. Salman ,&nbsp;Marek Jaszczur","doi":"10.1016/j.clet.2025.100986","DOIUrl":"10.1016/j.clet.2025.100986","url":null,"abstract":"","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 100986"},"PeriodicalIF":5.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623479","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}