Akhil Raja Keshetti , Victor S.P. Ruela , Hao Chen , Marcos R. Machado
{"title":"Advanced analytics to improve energy efficiency of steel industry - A systematic review on ladle logistics","authors":"Akhil Raja Keshetti , Victor S.P. Ruela , Hao Chen , Marcos R. Machado","doi":"10.1016/j.clet.2025.100907","DOIUrl":"10.1016/j.clet.2025.100907","url":null,"abstract":"<div><div>The steel industry, a significant contributor to global energy consumption and <em>CO</em><sub>2</sub> emissions, must adopt innovative approaches to improve efficiency and sustainability. This systematic literature review focused on identifying advanced analytical methods that have the capability of enabling informed decision-making in optimising steel ladle logistics—a key process within steel-making that influences energy use and emissions. The scientific landscape has State-of-the-Art optimiser algorithms built using mathematical models to generate ladle logistics schedules. The evaluation of such decision support systems is generally carried out using various techniques. This review uniquely highlights how discrete event simulation (DES) can be integrated with optimization models for robust validation of scheduling decisions. This paper explores validation techniques incorporating historical operational data and simulation modelling to ensure that theoretical optimization translates to practical, real-world applications. Key sustainability indicators, such as <em>CO</em><sub>2</sub> emission intensity and energy consumption per tonne of steel, are identified and assessed for their role in aligning steel production with environmental goals such that they can be adapted to validate the levels reported by the optimization model against the simulation model. The findings reveal that integrating DES alongside the optimization model enhances the feasibility and robustness of scheduling models. This approach supports the industry's shift towards sustainable practices by providing decision-makers with reliable tools for optimising logistics, reducing energy consumption, and minimizing emissions.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100907"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stabilization of red mud using mineral carbonation","authors":"Saranyadevi Duraisamy, Piyush Chaunsali","doi":"10.1016/j.clet.2025.100926","DOIUrl":"10.1016/j.clet.2025.100926","url":null,"abstract":"<div><div>Mineral carbonation is a promising technique to reduce the atmospheric carbon dioxide (CO<sub>2</sub>) concentration via precipitation of stable carbonates. This study examined the mineralization potential of red mud, a byproduct of the aluminium manufacturing industry. The alkaline nature of red mud has hindered its widespread utilization, causing issues associated with its storage and disposal. The limited calcium concentration and high iron content pose challenges with regard to CO<sub>2</sub> mineralization, and the optimal conditions for mineralization have not been explored well. In the present study, three different temperatures (25 °C, 45 °C, and 65 °C) at high pressure of 10 bar were employed to study the mineralization potential of red mud. The red mud mineralized at 45 °C outperformed others. After mineralization, compressive strength increased by 11.6 %, 64 %, and 50 % at 25 °C, 45 °C, and 65 °C, respectively. A marginal increase in calcite precipitation and noticeable reduction (720–510 nm) in critical pore size was observed due to mineralization at 45 °C. Microstructural study revealed that the hematite phase in the red mud provided nucleation site for the carbonate phase, contributing to a denser microstructure. The agglomeration of mineralized phases indicated a marginal increase in true density, leading to a denser microstructure and higher strength after mineralization. Furthermore, dimensional stability (in water immersion) and acid neutralization capacity of mineralized red mud were examined.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100926"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Hidalgo-Crespo , J.L. Amaya-Rivas , J.D. Cabrera-Abad , Andreas Riel
{"title":"Exploring the adoption of pay-per-month business models: A theoretical framework and behavioral analysis in the context of white goods in Guayas province, Ecuador","authors":"J. Hidalgo-Crespo , J.L. Amaya-Rivas , J.D. Cabrera-Abad , Andreas Riel","doi":"10.1016/j.clet.2025.100915","DOIUrl":"10.1016/j.clet.2025.100915","url":null,"abstract":"<div><div>In response to increasing environmental concerns, this study explores the adoption of a pay-per-month (PPM) model in the white goods sector in Guayas province, Ecuador, within the framework of the circular economy (CE). The research integrates the Theory of Planned Behavior (TPB) and Norm Activation Model (NAM) to assess consumer behavior and preferences. Using a Discrete Choice Experiment (DCE), data were collected from 3267 respondents, evaluating the impact of psychographic factors on PPM model acceptance for products like refrigerators, stoves, and washing machines. Results show that ecological intentions, personal norms, and attitudes significantly influence acceptance. The study reveals that greater consumer education and policy incentives on the environmental benefits of PPM models can drive higher adoption rates. This research contributes to the existing literature by providing a comprehensive framework that merges TPB and NAM methodologies, addressing gaps in understanding consumer motivations in circular business models such as PPM. Additionally, while the focus is on Guayas, the insights gained may have broader applicability in similar developing regions. However, the study also acknowledges limitations related to geographic and socio-economic differences, suggesting avenues for future research to explore the PPM model's viability across diverse contexts.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100915"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kamal Anoune , Ismail El Kafazi , Anas El Maliki , Badre Bossoufi , Badr NASIRI , Hana Zekraoui , Mishari Metab Almalki , Thamer A.H. Alghamdi , Mohammed Alenezi
{"title":"Performance enhancement of drone LiB state of charge using extended Kalman filter algorithm","authors":"Kamal Anoune , Ismail El Kafazi , Anas El Maliki , Badre Bossoufi , Badr NASIRI , Hana Zekraoui , Mishari Metab Almalki , Thamer A.H. Alghamdi , Mohammed Alenezi","doi":"10.1016/j.clet.2025.100917","DOIUrl":"10.1016/j.clet.2025.100917","url":null,"abstract":"<div><div>This study introduces a more accurate approach to managing drone batteries by improving how the state of charge (SoC) is estimated, focusing on energy efficiency and environmental impact. The key innovation lies in developing a mathematical model to assess battery behavior, combined with Hybrid Pulse Power Characterization testing and Recursive Least Squares with Forgetting Factor for parameter identification. To enhance the battery management system, the study integrates the Extended Kalman Filter (EKF), which overcomes the limitations of traditional linear filters and provides more precise SoC estimation. This approach reduces energy waste and extends battery life, directly supporting sustainable engineering practices. A developed MATLAB-based framework ensures real-time monitoring and optimized battery performance, minimizing the risk of power depletion during flight. The results demonstrate that the proposed SoC_EKF method significantly outperforms the conventional SoC_AH approach, achieving a lower estimation error (1.93 × 10<sup>−4</sup> vs. 7.21 × 10<sup>−4</sup>), leading to improved energy efficiency, reduced carbon footprint, and more reliable, eco-friendly drone operations for clean technology applications.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100917"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Thermomechanical recyclability of acrylonitrile styrene acrylate (ASA) for cyclic economy-driven MEX additive manufacturing","authors":"Nectarios Vidakis , Markos Petousis , Nikolaos Michailidis , Dimitrios Sagris , Constantine David , Vassilis Papadakis , Maria Spyridaki , Apostolos Argyros , Ioannis Valsamos , Evgenia Dimitriou , Emmanuel Kymakis","doi":"10.1016/j.clet.2025.100925","DOIUrl":"10.1016/j.clet.2025.100925","url":null,"abstract":"<div><div>The extensive utilization of materials in daily life can result in environmental pollution, resource depletion, and numerous other consequences. One approach to mitigate these issues could be adopting recycling techniques for high-consumption materials. In this investigation, Acrylic Styrene Acrylonitrile (ASA) was selected for examination under six successive recycling cycles to assess its performance and suitability for material extrusion (MEX) 3D printing. This material was used for filament fabrication and three-dimensional (3D) specimen printing. Thermomechanical processes are expected to influence the behavior of the ASA samples. Furthermore, mechanical, thermal, and rheological tests were conducted, and the morphology and structure of the parts were investigated. The mechanical properties of the filaments were also assessed. Morphological and structural analyses were performed by micro-computed tomography and scanning electron microscopy. The second recycling cycle samples were notable for their performance relative to the first cycle (20% higher tensile strength), whereas all five cycles demonstrated higher strength than the first cycle. These results indicate the promising potential of using recycled ASA in applications for various purposes.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100925"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designing sustainable supply chain metrics for the Indonesian fashion industry: A DEMATEL-Based ANP approach","authors":"Nora Nisrina , Romadhani Ardi , Benny Tjahjono","doi":"10.1016/j.clet.2025.100921","DOIUrl":"10.1016/j.clet.2025.100921","url":null,"abstract":"<div><div>The development of the fashion industry, while providing significant impact to the economy, also has negative environmental and social consequences. Thus, many countries, including Indonesia, require the fashion industry to adopt sustainable supply chain management. To ensure the success of their implementation, it is necessary to determine the key indicators that might influence the implementation of a sustainable supply chain, especially in the context of the Indonesian fashion industry. This study aims to determine key performance indicators (KPIs) in implementing sustainable supply chain management for the Indonesian fashion industry. This study utilised a Decision-Making Trial and Evaluation Laboratory based Analytical Network Process (DEMATEL-based ANP) method to analyse and prioritise the indicators for three sustainability dimensions. This study reveals several variables for assessing the sustainable supply chain performance, which include operating costs, customer satisfaction, environmental compliance, implementation of environmentally friendly technology, and education and training. The outcomes of this study could be further used by the fashion industry to assess current performance and discover opportunities to improve its positive impact on society.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100921"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pathway to achieve net-zero emission in healthcare sector based on the natural resource-based view theoretical lens: A hybrid DEMATEL-ISM-MICMAC approach","authors":"Detcharat Sumrit","doi":"10.1016/j.clet.2025.100916","DOIUrl":"10.1016/j.clet.2025.100916","url":null,"abstract":"<div><div>The healthcare sector, a leading global contributor to carbon emissions, faces increasing pressure to adopt sustainable practices and meet net-zero emissions (NZE) targets. This study investigates pathways to achieving NZE in healthcare through an innovative framework grounded in the Natural Resource-Based View (NRBV) theory. Thirteen key determinant factors (DFs) critical to attaining NZE are identified and validated by healthcare experts. To better understand the interrelationships and hierarchical structure of these factors in the complex NZE transition, the study integrates three methodologies: DEMATEL (Decision Making Trial and Evaluation Laboratory), ISM (Interpretive Structural Modeling), and MICMAC (Matriced Impacts Croises-Multiplication Applique et Classement). The findings reveal that “stakeholder engagement”, “green procurement”, and “telemedicine and remote monitoring” are the most influential DFs. Furthermore, the study offers actionable insights for both scholars and practitioners, providing a clear pathway and roadmap for achieving NZE in healthcare, which includes the following key hierarchical relationships: “EMS” → “ESG”, “stakeholder engagement” → “green procurement” → “end-of-life management”, “climate resilience planning” → “environmental training and education” → “medical equipment efficiency”, “telemedicine and remote monitoring”, “waste management practices” → “eco-design principles”, “suppliers sustainability” → “carbon labeling”. The framework developed in this study is highly adaptable, offering valuable potential for application across a variety of industries, thereby presenting significant opportunities to achieve NZE across multiple sectors.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100916"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahmoud Alsharkawy , Ahmed Hamdy , Mohamed Marzouk
{"title":"Developing a new sustainable rating system for assessing construction projects using BWM","authors":"Mahmoud Alsharkawy , Ahmed Hamdy , Mohamed Marzouk","doi":"10.1016/j.clet.2025.100920","DOIUrl":"10.1016/j.clet.2025.100920","url":null,"abstract":"<div><div>This research presents a methodology for assessing the contractor's abidance towards preserving the environment during the construction phase. This goal is achieved by the indication of the most prevalent factors. Based on a thorough literature review and experts' review, a list of forty factors is presented, which are grouped into nine categories. These categories are: Solid Waste Management; Water Management; Energy Efficiency; Pollutants Control; Traffic Management; Site Arrangement; Procurement; Awareness Leverage & Education; and Social Governance. Firstly, a two-step questionnaire survey is conducted in this research to review and assess the factors list extracted from the literature review. Upon completing the questionnaire survey, statistical analysis is applied, including the Analysis of Variance (ANOVA) test, Exploratory Factors Analysis (EFA), and the Cronbach's Alpha test for reliability, resulting in thirty-two final factors list after eliminating eight factors. Using the weights calculated by the Best-Worst Method (BWM) and the assessment benchmarks set for each factor, the environmental scoring sheet is generated along with the overall scoring evaluation thresholds to indicate the holistic environmental performance grade. Finally, the application of the proposed research methodology is presented by applying the scoring tool through a case study.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100920"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sofia Chaudry , Valentina Hurtado-McCormick , Ka Yu Cheng , Anusuya Willis , Robert Speight , Anna H. Kaksonen
{"title":"Microalgae to bioplastics – Routes and challenges","authors":"Sofia Chaudry , Valentina Hurtado-McCormick , Ka Yu Cheng , Anusuya Willis , Robert Speight , Anna H. Kaksonen","doi":"10.1016/j.clet.2025.100922","DOIUrl":"10.1016/j.clet.2025.100922","url":null,"abstract":"<div><div>There is an increasing interest in the production of bioplastics from biomass-based feedstocks to address the challenges associated with increasing global plastic consumption. Bioplastics are produced mainly from 1st generation feedstocks that compete with food production for agricultural resources. Recently, microalgae have gained interest as a feedstock for bioplastics production. Microalgae can be used in various ways to produce different types of bioplastics including various biodegradable and drop-in bioplastics. However, not much attention has been paid to different routes of bioplastics production from microalgae. This review examines the potential of using microalgae as a feedstock for bioplastics, with a focus on three key polymer synthesis routes: 1) use of natural polymers synthesised by microalgae, 2) chemical synthesis of polymers from microalgae-derived feedstocks and 3) microbial synthesis of polymers from microalgae-derived feedstocks. The technical and economic challenges associated with each route are analysed. The optimal route of using microalgae as a feedstock for bioplastics largely depends on the economics of the process. Conducting comparable feasibility studies for various routes is recommended to identify the most economically viable route for utilising microalgae to produce bioplastics. Microalgae has great potential for the bioplastic industry, however, to progress the research to commercialisation, future research emphasis should be placed on investigating various routes of utilising microalgae for bioplastics along with optimising the process for enhanced biomass productivity and polymer yield, characterising the produced polymers, investigating the co-production of bioplastics with other products, and integrating the production of bioplastics with the wastewater treatment.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100922"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Techno-economic analysis of renewable hybrid system microgrids for minimizing grid power outages in residential areas","authors":"Marzieh Salehi, Majid Khanali, Hassan Ghasemi-Mobtaker","doi":"10.1016/j.clet.2025.100924","DOIUrl":"10.1016/j.clet.2025.100924","url":null,"abstract":"<div><div>The increasing frequency of grid blackouts and CO<sub>2</sub> emissions in countries heavily reliant on fossil fuels for their national power grids, such as Iran, has led to reduced power supply reliability and environmental challenges. Effectively utilizing renewable energy to address blackouts is challenging for governments due to the intermittent nature of renewables, peak demand variations, and potential excess generation. Therefore, this study examines the techno-economic feasibility of a hybrid renewable microgrid to mitigate power outages in large-scale residential areas under various outage scenarios. Real demand and capacity shortage data were imported into HOMER software to optimize the grid-connected system using a cycle charging dispatch strategy. Different scenarios were considered, including outages based on existing conditions, during renewable resource peaks, and during demand peaks. Results show that if the government schedules outages during sunny hours to compensate for capacity shortages using photovoltaics, large-scale renewables become more cost-effective. The optimal solution supplies more than 45% of the 591 MW h/day demand with renewables by installing 49.8 MW of PV, 22.5 MW of wind turbines, a 34.5 MW h battery bank, and a 5 MW electrolyzer plant. This solution results in an energy cost of $0.07/kWh and less than 7.7% excess electricity, improving the annual capacity shortage to less than 1% of demand. Additionally, more than 220 tons/year of green hydrogen is produced by utilizing over 10 GW h/year of excess power, justifying the slight cost increase associated with the electrolyzer. These results highlight the success of renewables optimization to supply capacity shortages for policymakers.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"25 ","pages":"Article 100924"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}