Cleaner Engineering and Technology最新文献_第3页

Magnetic-flotation: a sustainable solution for the flotation recycling of batteries’ blackmass 磁浮选：电池黑块浮选回收的可持续解决方案

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2026-01-10 DOI: 10.1016/j.clet.2026.101146

Rihan Efendi , Mehdi Parian , Saeed Chehreh Chelgani

Rising interest in lithium-ion batteries as a key energy-storage option underscores the pressing need to develop recycling approaches that are both environmentally responsible and high-performing, especially for black mass rich in recoverable graphite and cathode active materials (CAMs). Froth flotation is the well-known technique for separating ultrafine CAM particles from graphite. Flotation beneficiation operates on the principle of surface properties, while binders in the batteries complicate the separation process. This study introduces magnetic-assisted flotation (MAGFLO) as a novel and environmentally friendly approach to enhance the flotation-based recycling of blackmass for nickel-manganese-cobalt (NMC) batteries. The MAGFLO leverages CAMs' magnetic susceptibility and hydrophilicity to improve their separation from non-magnetic and hydrophobic graphite, thereby reducing dependence on thermal/chemical surface modifications. The MAGFLO system was implemented as a retrofit setup, and experiments were conducted using an electromagnet with different setups (voltage: 10, 20, or 30) across various flotation cells (steel and stainless-steel) and configurations. Flotation results indicated that the magnetic properties of CAM particles could enhance their separation from graphite. SEM analysis revealed that fine CAM particles adhered to graphite particles, potentially influencing process efficiency. However, particle entrapment could be minimized by using magnetic field pulsation (the “on/off interval” mode of the electromagnet). The steel cell generally showed a higher separation efficiency with over 90 % CAM recovery. Overall, MAGFLO demonstrated strong potential as a sustainable and scalable approach for future industrial recycling applications.

人们对锂离子电池作为一种关键的储能选择的兴趣日益浓厚，这突显了开发既环保又高性能的回收方法的迫切需要，特别是对于富含可回收石墨和阴极活性材料（CAMs）的黑色物质。泡沫浮选是一种众所周知的从石墨中分离超细颗粒的技术。浮选选矿的原理是表面性质，而电池中的粘合剂使分离过程复杂化。本研究介绍了磁辅助浮选（MAGFLO）作为一种新的环保方法，以提高镍锰钴（NMC）电池黑块的浮选回收。MAGFLO利用cam的磁化率和亲水性来改善其与非磁性和疏水性石墨的分离，从而减少对热/化学表面修饰的依赖。MAGFLO系统作为一种改造装置，在不同的浮选池（钢和不锈钢）和配置中使用不同设置（电压：10、20或30）的电磁铁进行了实验。浮选结果表明，CAM颗粒的磁性能有利于其与石墨的分离。SEM分析表明，细小的CAM颗粒粘附在石墨颗粒上，可能影响工艺效率。然而，可以通过使用磁场脉动（电磁铁的“开/关间隔”模式）来最小化粒子捕获。钢池一般具有较高的分离效率，CAM回收率在90%以上。总的来说，MAGFLO作为一种可持续的、可扩展的方法，在未来的工业回收应用中表现出了强大的潜力。

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引用次数: 0

Detection of copper-containing scrap in a post-shredder fraction with machine vision and artificial intelligence towards green-steel production 面向绿色钢铁生产的机器视觉与人工智能技术在粉碎后含铜废料检测中的应用

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2025-12-14 DOI: 10.1016/j.clet.2025.101110

G. Koinig , N. Kuhn , T. Fink , B. Lorber , Y. Radmann , W. Martinelli , J. Aberger , E. Grath , A. Tischberger-Aldrian

Copper contamination in scrap input for electric arc furnaces (EAF) causes quality issues in steel production, as copper cannot be removed during melting in EAFs and leads to surface cracking and brittleness in the final products. This work presents a cost-effective AI-based classification and sorting method using single-stage AI detectors to identify copper particles in post-shredder scrap, offering an alternative to X-ray fluorescence or laser-induced breakdown spectroscopy. After comparing all sizes of YOLOv8 and YOLOv11, the most promising architecture was further subjected to pruning, hyper parameter optimisation and conversion to decrease its inference latency without compromising its prediction accuracy. The thus generated YOLOv8n model achieved a worst-case inference time of 75 ms/image on CPU testing hardware with a mAP₅₀–₉₅ of 77 %. In terms of object-based accuracy, the testing on the independent test data set resulted in 89 % of all copper particles and 86 % of all iron particles being correctly identified. After these offline tests, a prototype consisting of a conveyor belt, low-cost industrial GPU, an industrial camera and an industrial high pressure nozzle bar was built to gauge the model's deployment into an industrial setting by using hyperparameter tuning and conversion to GPU optimised formats. On this, three-stage separation trials with throughputs ranging from 2.5 t/h to 10 t/h with initial copper contents of 10 % and 25 % were conducted. These trials resulted in a purity of the iron fraction of over 99.3 %, calculated by taking the mass of all copper containing particles in the iron fraction.

电弧炉（EAF）废料输入中的铜污染会导致钢铁生产中的质量问题，因为铜在电弧炉熔化过程中无法去除，导致最终产品的表面开裂和脆性。这项工作提出了一种具有成本效益的基于人工智能的分类和分选方法，使用单级人工智能探测器识别碎纸机后废料中的铜颗粒，提供了x射线荧光或激光诱导击穿光谱的替代方案。在比较了YOLOv8和YOLOv11的所有大小之后，我们进一步对最有希望的架构进行了修剪、超参数优化和转换，以减少其推理延迟，同时不影响其预测精度。由此生成的YOLOv8n模型在CPU测试硬件上实现了75 ms/image的最坏情况推理时间，mAP50-95为77%。在基于对象的准确性方面，在独立测试数据集上的测试导致89%的铜颗粒和86%的铁颗粒被正确识别。在这些离线测试之后，建立了一个由传送带、低成本工业GPU、工业相机和工业高压喷嘴杆组成的原型，通过使用超参数调整和转换为GPU优化格式来衡量模型在工业环境中的部署情况。在此基础上，进行了三阶段分离试验，初始铜含量为10%和25%，分离通量为2.5 t/h至10 t/h。这些试验的结果是，通过计算铁馏分中所有含铜颗粒的质量，铁馏分的纯度超过99.3%。

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引用次数: 0

Semi-analytical approach to trajectory optimization for stacker cranes regarding energy saving 基于节能的堆垛起重机轨迹优化半解析方法

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2025-12-30 DOI: 10.1016/j.clet.2025.101141

Rico Zöllner , Friedemann Schuricht , Wilfried Hofmann , Thorsten Schmidt

The aim of this study is to give insights into the trajectory optimization with respect to energy consumption and recuperation for stacker cranes in a high-bay warehouse. Based on an analytical necessary optimality condition, a targeted numerical implementation is set up to perform systematic computations of optimal trajectories which are further categorized. Particularly, the differences between energy consumption and energy recuperation as well as for up and down movements are pointed out. Although examined for a concrete, experimentally validated model of stacker cranes, the methodical approach could be adapted to other electrical machines possessing a power flow model, that is a functional relation between the kinematics (velocity, acceleration and load mass for instance) and the resultant power. In addition, boundaries of the velocity, the acceleration and the jerk are incorporated. Such a systematic analysis of energy optimal trajectories can be further used for improving the job scheduling in a warehouse.

本研究的目的是对高架仓库堆垛起重机的能量消耗和回收轨迹优化提供见解。在分析必要最优性条件的基础上，建立了有针对性的数值实现，对最优轨迹进行了系统的计算，并进一步进行了分类。特别指出了能量消耗和能量恢复以及上下运动的区别。虽然对堆垛起重机的具体实验验证模型进行了检查，但该方法可以适用于具有功率流模型的其他电机，即运动学（例如速度，加速度和负载质量）与结果功率之间的函数关系。此外，还考虑了速度、加速度和加速度的边界。这种能量最优轨迹的系统分析可以进一步用于改进仓库的作业调度。

引用次数: 0

Understanding the deterioration mechanism of geopolymers for application in acidic systems used for in situ recovery (ISR) 了解用于原位采油（ISR）的酸性体系中地聚合物的变质机理

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2026-01-06 DOI: 10.1016/j.clet.2025.101116

Godfrey Mawire , Robbie McDonald , Lionel Esteban , Peter Austin , Abhijit Mukherjee , Navdeep Dhami

Geopolymer-based barriers, synthesised from mine tailings, show promise for use in acidic in-situ recovery well fields, where conventional Portland cement barriers degrade rapidly. This study investigates the long-term performance of geopolymers, cast as cylinders and subjected to ferric sulphate-sulphuric acid and ferric chloride-hydrochloric acid lixiviants for 300 days. During this time, degradation progressed from the exposed surface inwards, resulting in three clearly identifiable concentric zones: (1) a deteriorated region, (2) an intermediate region and (3) the unreacted core. In Zones 1 and 2, dealumination of the aluminosilicate binder phases was significant, generating (secondary) residual phases with a higher Si/Al ratio that appear more resistant to ongoing acid attack. When combined with strong leaching of sodium and calcium from these phases, this resulted in enhancement in the porosity of these zones, the formation of channels/cracks, and reduced the resistance of the impacted regions to mechanical deformation. However, the formation of other secondary phases such as (i) gypsum and hydronium/natrojarosite for the ferric sulphate-sulphuric acid system and (ii) akagenéite for the ferric chloride-hydrochloric acid system, countered the development of porosity and the reduction in mechanical resistance. The key outcome from these combined findings was demonstration of the formation of deteriorated, yet competent outer zones that slowed the unreacted core deterioration rate. While further work is required to assess the prolonged behaviour of these protective layers and in turn, the lifetime of these geopolymers under in-situ recovery conditions, this study indicates that these materials may be suitable for application as barrier materials in these settings.

由矿山尾矿合成的地聚合物基屏障有望用于酸性原位采油井田，在这些井田中，常规波特兰水泥屏障降解迅速。本研究考察了地聚合物的长期性能，将其铸成圆柱体，并置于硫酸铁-硫酸和氯化铁-盐酸溶剂中300天。在此期间，降解从暴露的表面向内进行，导致三个明显可识别的同心区：(1)恶化区，(2)中间区和(3)未反应的堆芯。在1区和2区，铝硅酸盐结合相的脱铝作用显著，产生了具有较高Si/Al比的（次生）残余相，这些残余相似乎更能抵抗持续的酸侵蚀。当钠和钙从这些相中强烈浸出时，这导致这些区域的孔隙度增加，形成通道/裂缝，并降低了受冲击区域对机械变形的抵抗力。然而，其他次级相的形成，如(i)硫酸铁-硫酸体系中的石膏和水合氢铵/钠黄钾铁矾，以及（ii）氯化铁-盐酸体系中的akagensamite，抵消了孔隙度的发展和机械阻力的降低。这些综合发现的关键结果是证明了退化但有能力的外层区域的形成，减缓了未反应的核心退化速度。虽然需要进一步的工作来评估这些保护层的长期行为，反过来，这些地聚合物在原位开采条件下的使用寿命，但这项研究表明，这些材料可能适合在这些环境中用作屏障材料。

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引用次数: 0

A comparative environmental assessment of an automotive component processed by laser powder bed fusion (LPBF) versus CNC machining, with steel powder reuse impact analysis 对激光粉末床熔合（LPBF）与CNC加工的汽车部件进行了环境评估比较，并分析了钢粉再利用的影响

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2025-12-27 DOI: 10.1016/j.clet.2025.101137

Hery Andriankaja, Jean-Daniel Penot, Romain Chaudron, Rima Hleiss

The study reported in this paper presents a comparative life cycle assessment (LCA) of a maraging steel automotive hub carrier manufactured through using Laser Powder Bed Fusion (LPBF) metal additive manufacturing (metal AM) versus conventional Computer Numerical Controlled (CNC) machining. The manufacturing processes are modelled with primary data collected from dedicated metal AM unit and machining experts. These primary data served as the foundation for creating trustworthy LCA database specific to our metal AM Unit activities, from powder storage, through part manufacturing, to diverse post-treatment operations stages. The study covers the full product life cycle from raw material extraction to end-of-life recycling. Results show that while LPBF offers substantial reductions in material consumption and mineral resources depletion, its environmental superiority over machining is conditional. LPBF with use of 83.7 % recycled powder shows lower global warming potential (GWP) and fossil resources depletion than CNC machining. However, when exclusively new powder is used, LPBF becomes significantly more impactful, particularly due to energy-intensive powder production. A parametric analysis reveals that integrating at least 52 % recycled powder charge into the LPBF 3D printer is critical for achieving a better environmental profile than CNC machining. This study underscores the importance of the powder recycling rate evaluation as one key parameter for sustainable adoption of metal AM, especially through PBF techniques in industry.

本文研究了采用激光粉末床融合（LPBF）金属增材制造（金属AM）与传统计算机数控（CNC）加工制造的马氏体时效钢汽车轮毂载体的生命周期评估（LCA）的比较。制造过程是用从专用金属增材制造单位和加工专家收集的主要数据建模的。这些主要数据是为我们的金属增材制造单元活动（从粉末储存，到零件制造，再到各种后处理操作阶段）创建可靠的LCA数据库的基础。该研究涵盖了从原材料提取到报废回收的整个产品生命周期。结果表明，虽然LPBF在材料消耗和矿产资源消耗方面提供了大量的减少，但其对机械加工的环境优势是有条件的。与CNC加工相比，使用83.7%再生粉末的LPBF具有更低的全球变暖潜势（GWP）和化石资源消耗。然而，当专门使用新粉末时，LPBF变得更有影响力，特别是由于能源密集型粉末生产。参数分析表明，与CNC加工相比，将至少52%的可回收粉末装料集成到LPBF 3D打印机中对于实现更好的环境特征至关重要。这项研究强调了粉末回收率评估作为可持续采用金属增材制造的一个关键参数的重要性，特别是通过工业上的PBF技术。

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引用次数: 0

Assessing the sustainability and circularity of product families: A systematic review on indicators and methodologies 评估产品族的可持续性和循环性：对指标和方法的系统审查

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2025-11-19 DOI: 10.1016/j.clet.2025.101118

Sofia Boulmrharj , Elisa Arteaga Prieto , Giovanna Sauve , Karel Van Acker , Steven Van Passel , Philippe Nimmegeers

Manufacturing companies often adopt the product family approach to offer a wide range of products efficiently and cost-effectively. With the growing emphasis on the sustainability and circularity of product families, extensive research has evaluated these aspects in recent decades. Building upon this existing research, this study aims to identify the most prevalent indicators and methodologies employed for their assessments. A systematic literature review yielded 40 relevant articles. The results reveal that existing indicators and methodologies are often data-intensive and resource-consuming, making the assessment of the sustainability and circularity of product families a complicated and extensive process. Findings also show that only four circularity strategies (i.e., remanufacture, reuse, recycle, and refurbish) were investigated for product families. Furthermore, most circularity indicators considered in these assessments are strategy-specific, and no generic indicators exist for a holistic assessment of circularity for product families. Moreover, most studies focus solely on carbon footprint assessment, overlooking other impact categories. Additionally, the social aspect was scarcely investigated in literature for product families. Finally, most of the reviewed studies evaluated the sustainability and circularity of product families within electric and electronic equipment. Based on these findings, this work underlines the need for more efficient methodologies and indicators, while establishing relationships among economic, environmental, social, and circularity dimensions to support the development of sustainable and circular product families. It is also strongly recommended to assess the impact of additional circularity strategies beyond the four investigated and to broaden environmental impact assessments to include diverse impact categories alongside social considerations.

制造公司通常采用产品族方法，以高效和经济地提供广泛的产品。随着对产品族的可持续性和循环性的日益重视，近几十年来，广泛的研究对这些方面进行了评估。在现有研究的基础上，本研究旨在确定用于评估的最普遍指标和方法。系统的文献综述产生了40篇相关文章。结果表明，现有的指标和方法往往是数据密集型和资源消耗，使得产品族的可持续性和循环性的评估是一个复杂而广泛的过程。研究结果还表明，只有四种循环策略（即再制造，再利用，再循环和翻新）对产品族进行了调查。此外，在这些评估中考虑的大多数循环指标都是特定于策略的，并且不存在用于产品族循环性整体评估的通用指标。此外，大多数研究只关注碳足迹评估，忽视了其他影响类别。此外，社会方面的研究很少在文献中对产品家族进行调查。最后，大多数审查的研究评估了电气和电子设备内产品系列的可持续性和循环性。基于这些发现，本工作强调需要更有效的方法和指标，同时建立经济、环境、社会和循环维度之间的关系，以支持可持续和循环产品系列的发展。还强烈建议评估除所调查的四种循环战略之外的其他循环战略的影响，并扩大环境影响评估，以包括各种影响类别以及社会考虑因素。

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引用次数: 0

Future wind energy potential for wind farm development in Africa based on bias-corrected NEX-GDDP-CMIP6 wind projections 基于修正偏差的nex - gdp - cmip6风力预测，非洲风电场发展的未来风能潜力

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2026-01-08 DOI: 10.1016/j.clet.2026.101145

Akinwale T. Ogunrinde , Paul Adigun , Dairaku Koji , Xian Xue , Syed Shameer , Salman Zare

This study enhances wind energy resource assessment under climate change by applying a robust bias correction framework to NEX-GDDP-CMIP6 projections for ten wind farm stations across Africa at 150-m hub heights. We assessed wind speed, wind power density, variability, and capacity factor under SSP2-4.5 and SSP5-8.5 scenarios for 2041–2070 and 2071–2100. Model performance shows regional disparities, with higher accuracy in East and Southern Africa (correlations 0.86–0.96) than in North and West Africa (correlations 0.63–0.73). Baseline analysis highlights North Africa's Sahara-Sahel and East Africa's highlands as high-potential regions (6–8 m/s, 100–300 W/m²), while Central and West Africa exhibit lower resources (1–3 m/s, <50 W/m²). Weibull-based bias correction reduces errors to near-zero (±0.017 m/s), achieving correlations above 0.7 and up to 70 % reduction in root mean square error (RMSE), with East African stations showing the greatest error reduction. Future projections indicate significant regional and seasonal variability. East African coastal stations (Lamu, Zanzibar) and selected West African sites project capacity factor increases over 30 % and wind power density gains of 80–90 % under SSP5-8.5, while North African stations face minimal or negative changes. Seasonal trends show West Africa's winter gains (+23.5 % wind speed, +90 % power density) contrasted by autumn declines, and North Africa's summer improvements offset by winter reductions. Wind speed variability decreases at some stations, aiding grid stability, but increases at others, requiring advanced forecasting. Exceptional winter capacity factor gains (>100 %) highlight East and West African potential. This study provides guidance for wind farm site selection, supporting Africa's renewable energy transition.

本研究通过对nex - gdp - cmip6预测应用强大的偏差校正框架，加强了气候变化下的风能资源评估。nex - gdp - cmip6预测为非洲10个风电场站提供了150米枢纽高度。我们评估了2041-2070年和2071-2100年SSP2-4.5和SSP5-8.5情景下的风速、风力密度、变率和容量因子。模型性能显示出区域差异，东非和南部非洲（相关性0.86-0.96）的准确性高于北非和西非（相关性0.63-0.73）。基线分析强调，北非的撒哈拉-萨赫勒地区和东非高地是高潜力地区（6-8米/秒，100-300瓦/平方米），而中非和西非的资源较低（1-3米/秒，50瓦/平方米）。基于威布尔的偏差校正将误差降低到接近于零（±0.017 m/s），实现了高于0.7的相关性，并将均方根误差（RMSE）降低了70%，其中东非站的误差降低幅度最大。未来的预测显示出显著的区域和季节变化。在SSP5-8.5下，东非沿海站（Lamu，桑给巴尔）和选定的西非站点的项目容量系数增加了30%以上，风力发电密度增加了80 - 90%，而北非站的变化很小或为负。季节性趋势显示，西非冬季的增长（+ 23.5%的风速，+ 90%的功率密度）与秋季的下降形成对比，北非夏季的增长被冬季的减少所抵消。风速变异性在一些站点减少，有助于电网的稳定，但在其他站点增加，需要提前预测。冬季运力系数的提高（100%）突出了东非和西非的潜力。本研究为风电场选址提供指导，支持非洲的可再生能源转型。

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引用次数: 0

Plastic waste in concrete: Data-driven insights into strength behavior 混凝土中的塑料废物：数据驱动的强度行为洞察

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2026-01-20 DOI: 10.1016/j.clet.2026.101154

Abdullah Miah, Md Jahidul Islam

Rapid urbanization and global population growth lead to a rise in plastic waste (PW) worldwide, making recycling a global challenge. A sustainable approach using PW in concrete industry may minimize the adverse effects. Integration of PW in concrete impacts mechanical performance, particularly compressive strength (CS). In addition, identifying the exact contribution of plastic remains difficult, particularly due to its heterogeneous characteristic and complex interactions within the concrete matrix. Hence, this study provides a comprehensive machine learning (ML) technique to predict the CS of plastic aggregate concrete (PAC). Considering this, a wide range of datasets comprising 612 experimental test outcomes was compiled from 74 literature sources. Seventeen widely adopted ML models including linear, tree-based, ensemble, and neural network algorithms were developed using eight influential input parameters. Among all models, MLPNN outperformed showing highest accuracy (R² = 0.826), with more than 75% of training and 70% of testing predictions falling within a minor error range. The narrow 95% Confidence Interval of ±0.9928 MPa further demonstrates low prediction variability. The sensitivity analyses using SHAP, ICE, and feature importance reported that dry unit weight, W/C ratio, and plastic aggregate (PA) addition are most impactful parameters. Results show that PA replacement up to 5% can maintain or slightly enhance CS, whereas higher additions (up to 20%) may reduce strength by around 5 MPa. This investigation offers a sustainable approach to concrete design using PW with the help of ML, which can be further enhanced through a GUI-based practical application and utilized by designers for PAC.

快速城市化和全球人口增长导致全球塑料垃圾（PW）增加，使回收成为一项全球性挑战。在混凝土工业中可持续地使用PW可以最大限度地减少不利影响。PW在混凝土中的集成影响力学性能，特别是抗压强度（CS）。此外，确定塑料的确切贡献仍然很困难，特别是由于其异质特性和混凝土基体内复杂的相互作用。因此，本研究提供了一种全面的机器学习（ML）技术来预测塑料骨料混凝土（PAC）的CS。考虑到这一点，从74个文献来源中编译了包括612个实验测试结果的广泛数据集。17种广泛采用的ML模型，包括线性、基于树的、集成和神经网络算法，使用8个有影响力的输入参数开发。在所有模型中，MLPNN表现出最高的准确率（R2 = 0.826），超过75%的训练预测和70%的测试预测落在很小的误差范围内。95%置信区间为±0.9928 MPa，进一步表明预测变异性较低。使用SHAP、ICE和特征重要性进行的敏感性分析报告称，干单位重、W/C比和塑料骨料（PA）添加量是最具影响的参数。结果表明，添加5%的PA可以维持或略微提高CS，而添加20%的PA可能会使强度降低约5mpa。本研究提供了一种在ML的帮助下使用PW进行混凝土设计的可持续方法，可以通过基于gui的实际应用进一步增强，并被设计人员用于PAC。

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引用次数: 0

Designing a regenerative pomegranate supply chain network under uncertainty: A Lagrangian relaxation approach 不确定条件下石榴再生供应链网络设计：拉格朗日松弛方法

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2025-11-13 DOI: 10.1016/j.clet.2025.101117

Alireza Shamekhi Amiri , Parisa Karimi-Ashtiani , Seyed Ali Modarresi , Shahryar Sorooshian , Hassan Mina

Regeneration is a fundamental concept at the heart of the circular economy. This concept emphasizes increasing positive environmental impacts in addition to achieving zero waste. Inspired by this concept, in this research, a mixed-integer linear programming model is developed to design a regenerative supply chain (SC) network in the pomegranate industry under uncertainty. In the investigated network, all pomegranate waste is transported to composting centers. Then, the compost produced by the composting centers is made available to farmers, thus integrating the concept of regeneration with SC operations. A stochastic scenario-based approach is used to deal with the uncertainty of the demand parameter. In addition, a Lagrangian relaxation algorithm is applied in order to solve the problem in large sizes. The validity of the developed algorithm is examined by comparing its results with GAMS results on nine small-sized instances. The results show that the proposed algorithm provides solutions close to GAMS solutions while being faster. Finally, the applicability of the presented model is confirmed through its implementation in a pomegranate industry in Iran.

再生是循环经济核心的一个基本概念。这一概念强调在实现零浪费的同时增加对环境的积极影响。受这一概念的启发，本研究建立了一个混合整数线性规划模型来设计不确定条件下石榴行业的再生供应链网络。在被调查的网络中，所有的石榴废物都被运送到堆肥中心。然后，堆肥中心生产的堆肥提供给农民，从而将再生概念与SC操作相结合。采用基于随机场景的方法处理需求参数的不确定性。此外，为了解决大尺寸的问题，采用了拉格朗日松弛算法。将该算法与GAMS算法在9个小实例上的结果进行了比较，验证了算法的有效性。结果表明，该算法在求解速度较快的同时，提供了接近GAMS的解。最后，通过在伊朗石榴行业的实施，验证了该模型的适用性。

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引用次数: 0

Quantitative analysis for ecological rivers to achieve carbon neutrality in the water network area of south China 华南水网区生态河流实现碳中和的定量分析

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL

Cleaner Engineering and Technology

Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.clet.2025.101130

Ning Ding , Guolong Zong , Lidong Ren , Yanshen Song , Dianyuan Ding

In the context of escalating global climate change, achieving carbon neutrality has become a shared objective for the international community. However, current research on carbon neutrality mechanisms in ecological river engineering projects is limited, and systematic quantification of their carbon emissions and sinks is still lacking. This study used life cycle assessment, combining carbon emission coefficients with i-Tree Eco simulations to evaluate emissions from three typical river projects, assess native trees' carbon sequestration, and estimate neutrality timelines under various planting scenarios. Results indicated that ecological concrete revetment (T1) had the highest carbon emissions at 127,740.65 kg CO₂e for the 1350-m river channel in Yizheng, China, followed by the geotextile gabion bag revetment (T2) at 75,058.62 kg CO₂e and the wooden pile fence revetment (T3) at 1640.06 kg CO₂e. Concrete accounted for 15–45 % of T1's emissions, and geotextile gabions contributed 27–67 % of T2's, confirming these construction materials as primary factors. Regarding carbon sequestration benefits, results using the i-Tree Eco model showed that Triadica, Magnolia denudata, and Cinnamomum camphora performed optimally, with gross carbon sequestration rates of 136.51 kg CO₂e/yr, 134.00 kg CO₂e/yr, and 91.78 kg CO₂e/yr, respectively. For planting configurations, both the double-row arrangement of Triadica (with spacing configurations of 3–5 m × 3 m) and the mixed planting of Magnolia denudata with Triadica (with spacing configurations of 4–5 m × 3 m) demonstrated optimal carbon sequestration performance. To achieve carbon neutrality with trees, T1 required approximately 8–10 years, T2 needed 5–6 years, and T3 required one year. These findings offer significant implications for achieving carbon neutrality objectives in hydraulic engineering systems. However, it should be noted that the conclusions are derived from conditions specific to sandy loam soil in Yizheng City and a northern subtropical climate. Their applicability to other regions necessitates further validation through localized tree species and site-specific conditions.

在全球气候变化日益加剧的背景下，实现碳中和已成为国际社会的共同目标。然而，目前对生态河流工程碳中和机制的研究还很有限，缺乏对生态河流工程碳排放和汇的系统量化。本研究采用生命周期评估方法，结合碳排放系数和i-Tree生态模拟，对3个典型河流项目的碳排放进行了评估，评估了原生树木的碳固存能力，并估算了不同种植情景下的中性时间线。结果表明，在宜政1350 m河道中，生态混凝土护岸（T1）的碳排放量最高，为127,740.65 kg CO2e，其次是土工布格网护岸（T2），为75,058.62 kg CO2e，木桩护岸（T3）为1640.06 kg CO2e。混凝土占T1排放量的15 - 45%，土工织物格宾网占T2排放量的27 - 67%，证实了这些建筑材料是主要因素。在固碳效益方面，利用i-Tree生态模型的结果显示，三甘树（Triadica）、白玉兰（Magnolia denudata）和樟树（Cinnamomum camphora）表现最佳，总固碳率分别为136.51 kg CO2e/yr、134.00 kg CO2e/yr和91.78 kg CO2e/yr。在种植配置上，三甘草双排（间距配置为3 ~ 5 m × 3 m）和白玉兰与三甘草混种（间距配置为4 ~ 5 m × 3 m）的固碳效果最佳。为了实现树木的碳中和，T1需要大约8-10年，T2需要5-6年，T3需要1年。这些发现为实现水力工程系统的碳中和目标提供了重要的意义。但值得注意的是，这些结论是根据仪征市砂壤土特有的条件和北亚热带气候得出的。它们在其他地区的适用性需要通过本地化树种和特定地点条件进一步验证。

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