Cleaner Engineering and Technology最新文献

{"title":"Optimizing economic and environmental objectives in sustainable machining processes","authors":"Muhammad Atif Saeed ,&nbsp;Faraz Junejo ,&nbsp;Imran Amin ,&nbsp;Irfan Khan Tanoli ,&nbsp;Sadique Ahmad ,&nbsp;Ala Saleh D. Alluhaidan ,&nbsp;Abdelhamied A. Ateya","doi":"10.1016/j.clet.2025.101067","DOIUrl":"10.1016/j.clet.2025.101067","url":null,"abstract":"<div><div>This work presents a two-stage optimization approach designed to improve the sustainability of machining processes by integrating multi-objective optimization, multi-criteria decision-making, and experimental design approaches. The proposed work uses the non-dominated sorting genetic algorithm-II (NSGA-II) to balance economic and environmental objectives. A case study on the machining of EN8 steel demonstrated significant improvements after applying the proposed framework, achieving a 65.9 % increase in the environmental sustainability assessment (EnSA) and a 28.8 % improvement in the economic sustainability assessment (ESA). Key performance indicators, including total energy consumption of machine (TECM), temperature (T), and surface roughness (Ra), improved by 24.5 %, 25 %, and 48.8 %, respectively, though trade-offs between energy efficiency (EE) and process flexibility (PF). Sensitivity analysis highlighted that axial depth ('X₄') was the most influential factor, accounting for 50 % of ESA variation and 86 % of EnSA variation. This framework offers a practical approach to optimizing machining parameters, contributing to sustainable manufacturing practices. Future research could extend its application to other manufacturing processes and incorporate additional sustainability dimensions, such as social impacts, to further promote overall sustainability in the industry.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101067"},"PeriodicalIF":6.5,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908982","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":"Trade-off analysis and identification of optimization potentials between lightweight design and design for circularity","authors":"Kristian König,&nbsp;Simon Mörsdorf,&nbsp;Michael Vielhaber","doi":"10.1016/j.clet.2025.101068","DOIUrl":"10.1016/j.clet.2025.101068","url":null,"abstract":"<div><div>The pressing need for resource conservation and environmental impact reduction in sustainable development emphasizes the importance of lightweight design and design for circularity in product development. However, the complexity and multidisciplinary nature of decision-making in these areas pose a major challenge.</div><div>In the present work, a novel approach for trade-off analyses is proposed to meticulously analyze the relationships between both design disciplines, facilitating decision-making and the identification of optimization potentials throughout design. Illustrated by material selection and a case study on the development of a semi-mobile handling system, two fundamental design approaches for decision-making in view of different and shared development objectives between lightweight design and design for circularity are identified. This enables the prioritization of development objectives in early phases and enhances eco-effectivity with regard to resource conservation and environmental impact reduction in the context of complex design considerations.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101068"},"PeriodicalIF":6.5,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144903938","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":"Characterization of the physicochemical and functional properties of clay-based construction materials with a neutral carbon footprint using recycled pistachio shell waste","authors":"Aziz El-yahyaoui,&nbsp;Imad Manssouri","doi":"10.1016/j.clet.2025.101062","DOIUrl":"10.1016/j.clet.2025.101062","url":null,"abstract":"<div><div>This study explores the recycling of pistachio shell waste in producing eco-friendly, non-fired clay bricks, aiming for both economic and ecological benefits. The pistachio shells were sourced from the Taounate region in northern Morocco, and the clay used was extracted from Oulad Azam, in the same region. X-ray analysis of the soil revealed a high Illite clay content with around 40 % SiO₂, making it suitable for construction. Brick samples were made with varying pistachio shell content (0 %–20 %, including intermediate levels such as 1 %, 3 %, 5 %, 7 %, and 15 %) and sizes: small (δ &lt; 1 mm), medium (1 mm &lt; δ ≤ 3 mm), and large (δ &gt; 6 mm). Physical (porosity, density), mechanical (compressive strength), and thermal (conductivity) properties were evaluated. Results showed lightweight bricks, with densities below 1.75 g/cm³, linked to higher porosity for smaller additive sizes. Microscopic observations confirmed reduced porosity for finer additive sizes (δ ≤ 1 mm), contributing to enhanced performance. Compressive strength improved by 8 % and thermal conductivity by 23 % with smaller grains. The strength of the bricks generally decreased with increasing additive content, while insulation improved significantly. However, there was a trade-off between insulation and strength. The optimal balance was found at additive dosages of 7 %, 8 %, and 9 % for large, medium, and small grains, respectively, yielding bricks with better performance than conventional industrial ones. These results suggest that the valorization of local agricultural waste contributes positively to both sustainable construction and the local economy.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101062"},"PeriodicalIF":6.5,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827793","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":"The concept of a technological system for the treatment and using rainwater in swimming pool installations","authors":"Rafał Rapacewicz ,&nbsp;Anna Lempart-Rapacewicz ,&nbsp;Edyta Kudlek ,&nbsp;Katarzyna Brukało","doi":"10.1016/j.clet.2025.101066","DOIUrl":"10.1016/j.clet.2025.101066","url":null,"abstract":"<div><div>This study introduces and validates the “SwimmInRain” system, a technological solution for rainwater treatment in public swimming pool installations. Laboratory experiments and analytical evaluations focused on optimizing process components, with special attention to UV-based advanced oxidation. Raw rainwater often exhibited turbidity (1.67 ± 0.1 NTU) and pH (6.04 ± 0.1) values outside acceptable ranges, prompting the development of a multistage treatment system. The complete technology includes filtration, separation of petroleum substances, coagulation, mechanical filtration, UV disinfection, chlorination, and pH correction. Medium-pressure UV lamps, particularly the TQ-Z3 model, showed superior effectiveness in degrading organic micropollutants. Removal efficiency was influenced by UV dose and exposure time. Post-treatment water quality improved significantly, with total organic carbon reduced by up to 35.7 %. Combined chlorine concentrations were also minimized, indicating fewer disinfection by-products. The “SwimmInRain” system offers an environmentally sound method for reusing rainwater in swimming pools, aligning with sustainability goals and ensuring safe, cost-effective water management.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101066"},"PeriodicalIF":6.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863462","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":"Solvent-free biorefinery of leather fleshing waste into FAMEs and nitrogen-rich co-products","authors":"Víctor Deroncelé ,&nbsp;Sílvia Sorolla ,&nbsp;Anna Bacardit","doi":"10.1016/j.clet.2025.101065","DOIUrl":"10.1016/j.clet.2025.101065","url":null,"abstract":"<div><div>This study presents a solvent-free method for converting bovine and ovine fleshing waste into biodiesel-compatible compounds and a nitrogen-rich solid by-product. The process combines mechanical lipid separation using Tricanter® centrifugation with an optimized alkaline conversion step. Lipid recovery exceeded 92 %, and under optimal reaction conditions, conversion yields surpassed 95 % without the need for pre-treatment. Bovine-derived esters complied with international biodiesel standards, while ovine esters showed promising properties for thermal energy storage applications. The solid fraction, containing up to 9.3 % nitrogen and no regulated heavy metals, met European requirements for use as fertilizer. The process consumed approximately 23 % less energy than conventional methods, and techno-economic analysis supports its industrial feasibility. Overall, this integrated approach offers a scalable, sustainable solution for tannery waste valorization aligned with circular bioeconomy goals.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101065"},"PeriodicalIF":6.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827718","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":"Exploring the potential of charred bagasse as an eco-friendly material for soil stabilization","authors":"Sikander Zaman Khan ,&nbsp;Zia ur Rehman ,&nbsp;Ammad Hassan Khan ,&nbsp;Tahir Sultan","doi":"10.1016/j.clet.2025.101064","DOIUrl":"10.1016/j.clet.2025.101064","url":null,"abstract":"<div><div>The burning of sugarcane bagasse in agricultural-rich countries has been a source of air pollution contributing to smog largely and raising the air quality index to alarming levels. Use of charred bagasse as an amendment material for highly plastic clay lies at the juncture of the reuse of waste material and carbon sequestration. The current study focuses on the use of bagasse biochar for the stabilization of soft soil as a carbon-neutral material. Bagasse biochar was added to the soil in varying proportions of 0, 2, 4, 6, 8, 10, and 12 % to determine its effects on the strength, deformation, and durability characteristics. A series of tests of consistency limits, unconfined compression tests, and swell potential tests were conducted using the above percentages. An addition of 10 % biochar was found to be optimal in reducing the overall plasticity index and swell shrinkage properties of soil whereas it increased the unconfined compressive strength (UCS) of soil from 300 kPa to 709 kPa. Fourier transform infrared spectroscopy (FTIR) tests confirmed the integration of amendment material in the soil mass. X-ray diffraction (XRD) and Scanning electron microscopy (SEM) techniques indicated the reduction of inter-pore-lattice of soil aggregates creating macro-aggregation due to the hydrophilic nature of biochar employed. Study signifies that practical applications of charred bagasse in soil stabilization can not only improve the strength and expansion-contraction phenomenon of expansive soil but it can also reduce the disposal of bagasse waste.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101064"},"PeriodicalIF":6.5,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827717","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 hybrid deep learning framework for global irradiance prediction using fuzzy C-Means, CNN-WNN, and Informer models","authors":"Walid Mchara ,&nbsp;Lazhar Manai ,&nbsp;Mohamed Abdellatif Khalfa ,&nbsp;Monia Raissi ,&nbsp;Wissem Dimassi ,&nbsp;Salah Hannachi","doi":"10.1016/j.clet.2025.101061","DOIUrl":"10.1016/j.clet.2025.101061","url":null,"abstract":"<div><div>Artificial intelligence (AI) is revolutionizing solar energy forecasting, enabling precise irradiance prediction for electric solar vehicles (ESVs) to optimize energy efficiency and extend driving range.</div><div>This study introduces a novel AI-powered hybrid deep learning framework that synergistically combines fuzzy C-means (FCM) clustering, convolutional neural networks (CNNs), wavelet neural networks (WNNs), and an Informer model to achieve superior accuracy. The FCM layer first groups meteorological data into coherent clusters, reducing noise and isolating localized patterns. CNNs then extract high-level spatial features from each cluster, while WNNs decode multi-resolution irradiance dynamics, capturing both abrupt fluctuations and gradual trends. Finally, the Informer model — equipped with attention mechanisms — identifies long-term temporal dependencies, selecting the most informative timesteps for accurate prediction.</div><div>The study’s experiments were conducted using a comprehensive dataset sourced from the Photovoltaic Geographical Information System (PVGIS). This dataset spans from January 1, 2005, to December 31, 2020. Data was collected from four climatically distinct cities in the USA: Phoenix, Arizona (desert); Miami, Florida (tropical); Denver, Colorado (semi-arid, high altitude); and Seattle, Washington (oceanic). The proposed CNN-WNN-Informer model achieved average reductions across all cities of 67.7% in t-statistic, 73.9% in Mean Absolute Percentage Error (MAPE), 82.5% in Mean Absolute Bias Error (MABE), and 59.0% in Root Mean Square Error (RMSE), underscoring its significant improvements. By minimizing prediction uncertainty, the framework empowers smarter battery utilization and route planning, bridging the gap between renewable energy and sustainable mobility. This robust performance suggests its potential for integration into intelligent transportation systems and smart grid applications, paving the way for more resilient and energy-efficient urban environments.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101061"},"PeriodicalIF":6.5,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809451","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":"Machine learning-driven optimization for surface roughness prediction of vertical orientation measurements on 3D printed components","authors":"Nur Islahudin ,&nbsp;Dony Satriyo Nugroho ,&nbsp;Dewa Kusuma Wijaya ,&nbsp;Amalia ,&nbsp;Herwin Suprijono ,&nbsp;Turnad Lenggo Ginta ,&nbsp;Muizuddin Azka ,&nbsp;Helmy Rahadian","doi":"10.1016/j.clet.2025.101046","DOIUrl":"10.1016/j.clet.2025.101046","url":null,"abstract":"<div><div>Surface roughness accuracy can be challenging in Additive Manufacturing (AM) because traditional point-based measurements often fail to capture the full range of surface characteristics. This study investigates how machine learning (ML) can improve roughness prediction by integrating image-based analysis with real-time adaptive control. A full factorial experimental design examines the effects of infill density, print speed, nozzle temperature, and layer height on the surface roughness of vertically oriented printed parts. A dataset of 81 experiments, including roughness image data, is used to test and validate the XGBoost model. The proposed model outperforms traditional regression methods, achieving an R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> of 97.06% and a Mean Squared Error (MSE) of 0.1383, compared to 95.72% and 0.224 of the conventional approach. These results demonstrate the potential of ML-driven optimization to significantly improve precision and consistency in AM, aerospace, healthcare, and automotive industries.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101046"},"PeriodicalIF":6.5,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810448","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 smart lemongrass oil production system with energy-saving strategies and variable production rate","authors":"Anu Sayal ,&nbsp;Harish Chandra Joshi ,&nbsp;Shubham Kumar Singh ,&nbsp;Anand Chauhan ,&nbsp;Reetika Bagauli","doi":"10.1016/j.clet.2025.101059","DOIUrl":"10.1016/j.clet.2025.101059","url":null,"abstract":"<div><div>Smart production systems reduce energy consumption, improve labor efficiency, and increase industrial productivity. Lemongrass and its essential oil are widely valued for their aromatic and therapeutic properties, making them integral to industries such as pharmaceuticals, cosmetics, and biodiesel. A mathematical model is developed to systematically represent the lemongrass oil production network, minimizing total costs under operational constraints. To produce lemongrass oil, the proposed mathematical model integrates the smart production system with variable production rate, autonomation inspection techniques for contaminant detection in lemongrass oil, and purification of impure oil to ensure contaminant-free lemongrass oil. Energy-saving strategies are incorporated to optimize energy use during the production of lemongrass oil, addressing both economic and environmental sustainability. The model is solved using a fixed-point iteration technique for the minimum total costs of the lemongrass oil production network. Mathematical examples are discussed in the study, which show that harvesting costs of lemongrass are a major contributor to total costs and the importance of energy-efficient strategies in production processes. The findings provide valuable insights for industry stakeholders by addressing sensitivity analysis of relevant factors, key policy, optimizing production systems, and managerial implications for sustainable lemongrass oil production. The conclusions of the research can be valuable for policymakers to advance the lemongrass oil industry.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101059"},"PeriodicalIF":6.5,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827716","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":"Future of Agrivoltaic projects: A review from the technological forecasting perspective","authors":"Leticia Pekk ,&nbsp;Petar Sabev Varbanov ,&nbsp;Ting Pan ,&nbsp;Zoltan Weltsch ,&nbsp;Bernadett Radli-Burjan ,&nbsp;Andras Hary ,&nbsp;Xue-Chao Wang","doi":"10.1016/j.clet.2025.101057","DOIUrl":"10.1016/j.clet.2025.101057","url":null,"abstract":"<div><div>Agrivoltaic systems integrate photovoltaic (PV) energy generation with agricultural production, creating synergies that enhance land-use efficiency and environmental sustainability. This article reviews agrivoltaic technologies to identify key trends and the most promising future research and development directions. The method applied involves selecting and analysing relevant literature sources and filtering them with regard to the essential questions that need to be answered for the climates of Central Europe and China. These include global development, current applications, and technological progress. The analysis reveals growing attention to system design, performance optimisation, and crop compatibility. Innovations such as bifacial and spectrally selective PV modules boost energy yields while maintaining suitable conditions for shade-tolerant crops like leafy greens and berries.</div><div>The analysis confirmed the high potential of sustainability benefits (societal, economic, and environmental) and revealed the need for systematic investigations of significant performance factors, including location and system design. A relatively underinvestigated factor is the protection of crops from excessive sunlight, which has become increasingly important. The modelling and optimisation of system operation is also necessary to provide decision-makers with robust tools for project assessment. A roadmap is proposed to guide future research and development.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"28 ","pages":"Article 101057"},"PeriodicalIF":6.5,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771768","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}