Results in Engineering最新文献_第3页

Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-21 DOI: 10.1016/j.rineng.2025.104079

Sianou Ezéckiel Houénafa , Olatunji Johnson , Erick K. Ronoh , Stephen E. Moore

Accurately simulating river discharge remains a challenge. Hybrid models combining hydrological models with machine learning improve discharge simulation and offer better interpretability than standalone machine learning models. However, the commonly used models are deterministic. This study introduces an innovative extension to stochastic hydrological models, offering a novel combination that has not been previously explored. The proposed approach predicts discharge by integrating the simulated statistical properties of daily discharge probability distributions, derived from a stochastic rainfall-runoff model, into machine learning frameworks. This integration allows the machine learning models to incorporate insights from the uncertainties in discharge, thereby enhancing predictive accuracy of discharge simulations. The hybridization presented combines the physically-based stochastic HyMoLAP (Sto. HyMoLAP) model with machine learning techniques, including Wavelet-based eXtreme Gradient Boosting (WXGBoost) and Wavelet-based Gated Recurrent Unit (WGRU). Evaluated on the Ouémé at Bonou river basin, Benin, the Sto. HyMoLAP-WGRU model shows the best predictive performance, especially for low and high discharges. It achieves an overall Nash-Sutcliffe Efficiency (NSE) of 0.896, which is 7.30% higher than the NSE of HyMoLAP, and 29.67% and 259.71% higher than those of the standalone machine learning models. The Combined Accuracy (CA) is 38.11, reflecting reductions of 19.81%, 42.30%, and 62.41% compared to the standalone models. The analyses show that the performance of hybrid models depends on the simulated discharge distribution properties used as input. They suggest that the hybridization approach could be particularly beneficial for runoff simulations in catchments subject to significant random fluctuations where point discharge simulation is challenging.

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引用次数: 0

Cutting-edge technologies: Biofuel innovations in marine propulsion systems to lower black carbon emissions

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-20 DOI: 10.1016/j.rineng.2025.104095

Sivasubramanian Manikandan, Sundaram Vickram, Yuvarajan Devarajan

The marine sector is an important contributor to global black carbon (BC) emissions, which can negatively affect air quality and climate. Biofuel advancement provides a green substitute for traditional maritime fuels, which could help in meeting the almost unreasonable emission reduction targets laid down by International Maritime Organization (IMO). This study reviews some engineering-oriented biofuel applications that seem to effectively minimize BC emissions from marine propulsion systems without sacrifice of the operational performance metric. Biofuels (hydrotreated vegetable oil [HVO] and biodiesel from algae or other processing routes) show the potential to reduce BC emissions by 50–80 % under controlled conditions in medium-speed diesel engines. For example, a marine trial using 50:50 HVO-diesel demonstrated up to a 60 % reduction in BC emissions compared with fossil fuels but maintained engine performance. Qualitatively, enhanced combustion properties due to the relatively high cetane number and low aromatic content in biofuels compared with those of petroleum fuels result in lower soot emissions when burning biofuels. Lifecycle assessments show greenhouse gases (GHG) emission reductions of up to 75 % when biofuels displace heavy fuel oil (HFO) in terms of quantitative measurements. Increased biofuel scalability to marine fuel applications is due in part to technological advancements, such as catalytic cracking of lignocellulosic biomass and microbial fermentation of seaweed. Biofuels save less than a ton of CO₂ per cubic meter as they are hard to store and incorporate during the fuel production process, but they still represent an appropriate tool in decarbonizing shipping and complying with international climate goals. This review highlights the transformational function of biofuels in enabling sustainable marine propulsion.

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引用次数: 0

Last-mile logistics with alternative delivery locations: A systematic literature review

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-19 DOI: 10.1016/j.rineng.2025.104085

Nima Pourmohammadreza , Mohammad Reza Akbari Jokar , Tom Van Woensel

Last-mile logistics plays a crucial role in modern supply chains, particularly in the retail industry. Despite its vital role in ensuring timely delivery to end-users, it is often considered the most expensive and ineffective segment of the logistics chain. More than just a financial burden, last-mile logistics poses significant environmental challenges and can be a source of negative social externalities, impacting customer satisfaction and retention. This paper presents a systematic and bibliometric analysis of 257 academic publications on the evolving domain of last-mile logistics, emphasizing emerging trends in Alternative Delivery Locations (ADL), using Scopus and Web of Science data. Employing the theory refinement approach, we analyze and refine existing SCM frameworks to understand and enhance last-mile logistics with innovative and sustainable delivery solutions. Over 89 % of these articles were published in the past six years, reflecting the growing prominence of sustainable and innovative delivery solutions like parcel lockers, roaming delivery points, and mobile distribution mechanisms. The findings reveal that adopting ADL enhances customer satisfaction by addressing critical delivery challenges such as flexibility and sustainability. This review provides actionable insights for practitioners, emphasizing the importance of integrating ADL into last-mile strategies to reduce costs, minimize environmental impact, and improve operational efficiency. Retailers can leverage these insights to align delivery systems with evolving consumer expectations and sustainability goals, ensuring competitiveness in a rapidly changing marketplace.

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引用次数: 0

Trend and evolution in muti-microgrid systems: A bibliometric analysis and literature review

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-17 DOI: 10.1016/j.rineng.2025.104065

Nishant Thakkar , Deepa Kaliyaperumal , V. Ravikumar Pandi

The concept of multi-microgrid (MMG) systems has gained significant research interest due to their enhanced reliability and efficiency compared to individual microgrids. This study uniquely conducts a bibliometric analysis of MMG systems, addressing a critical gap in existing literature, which predominantly focuses on microgrids and smart grids. Using the PRISMA technique, 2,011 documents from the SCOPUS database (2008–2024) were systematically reviewed and analyzed. Visualization tools like VOSviewer and Excel reveal that China and India lead MMG research, with significant contributions in energy management (EM) and control techniques. The study identifies "Energy" as the most-cited domain and highlights "Energies" as the longest-standing journal in the field. Keyword analysis associates MMG with "demand response" and "renewable energy," emphasizing the need to address uncertainties arising from increasing renewable energy integration. Additionally, the review identifies a focus on distributed generation optimization in MMG planning and frequency control using advanced strategies. By combining bibliometric analysis with a literature survey, this work provides a comprehensive and authoritative contribution, bridging gaps between existing microgrid and MMG studies. It offers valuable guidance for policymakers and researchers, advancing understanding and application of MMG systems to meet future energy challenges.

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引用次数: 0

Sewage sludge as a sustainable feedstock for biodiesel: Advances in conversion technologies and catalytic applications

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-13 DOI: 10.1016/j.rineng.2025.104000

Christopher Selvam D , Yuvarajan Devarajan , Raja T

The conversion of sewage sludge into biodiesel presents a sustainable approach to waste management while simultaneously advancing renewable energy objectives. Sewage sludge, possessing a lipid content ranging from 10 % to 25 %, serves as a cost-effective raw material for biodiesel synthesis, thereby adhering to the tenets of circular economy principles. This review delves into sophisticated conversion methodologies, including transesterification, pyrolysis, and hydrothermal liquefaction (HTL), emphasizing their efficacy and yield. Supported heteropolyacids (HPAs), notably phosphotungstic and phosphomolybdic acids when deposited on silica and alumina, exhibit remarkable catalytic efficiency, attaining biodiesel yields of 90 % to 95 % under optimized operational parameters. HTL techniques yield bio-oil outputs of 45 % to 60 %, establishing it as one of the most proficient approaches for sludge conversion. Furthermore, the incorporation of supported HPAs enhances reaction kinetics, diminishes byproduct formation, and facilitates the reusability of catalysts for 5 to 6 cycles, thereby reducing both costs and environmental repercussions. The techno-economic evaluation indicates production expenses as low as $0.50 to $0.70 per liter, while life-cycle assessments suggest a decrease in CO₂ emissions of up to 80 % in comparison to traditional diesel. This review elucidates existing obstacles, such as feedstock heterogeneity and catalyst longevity, and advocates for subsequent research aimed at optimizing sludge-to-biodiesel conversion technologies for implementation at a large scale. By offering detailed methodologies and quantitative insights, this investigation contributes to the body of knowledge in sustainable energy production and waste valorization.

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引用次数: 0

Revolutionizing urban solid waste management with AI and IoT: A review of smart solutions for waste collection, sorting, and recycling

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-12 DOI: 10.1016/j.rineng.2025.104018

Abderrahim Lakhouit

This review explores the transformative impact of artificial intelligence (AI) and the Internet of Things (IoT) on urban solid waste management, focusing on their potential to enhance the processes of waste collection, sorting, and recycling. With urban populations on the rise and waste generation rapidly increasing, cities face critical challenges to environmental sustainability and public health. The integration of IoT-based smart waste management enables municipalities to utilize real-time data to analyze waste flow, predict generation trends, and improve operational efficiency. AI-powered sorting systems and advanced robotics can further optimize recycling rates by reducing the need for manual labor and increasing material recovery in recycling facilities.

Additionally, the necessity to leverage strong collaboration among governments, technology providers, and the public is emphasized in this paper as a means to develop effective policy frameworks and foster community engagement in sustainable waste practices. The review also addresses challenges such as high initial costs, privacy concerns, and technical limitations, advocating for continued investment in innovative technologies and robust data privacy solutions. Ultimately, this research promotes a holistic approach to sustainable waste management that centers on building a circular economy and reducing environmental impacts. By adopting AI and I oT advanced technologies, cities can achieve their sustainability objectives, thereby paving the way for cleaner, more resilient urban environments that will benefit both current and future generations.

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引用次数: 0

Digital twin enabled smart microgrid system for complete automation: An overview

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-10 DOI: 10.1016/j.rineng.2025.104010

Buddhadeva Sahoo , Subhasis Panda , Pravat Kumar Rout , Mohit Bajaj , Vojtech Blazek

Recent advancements in communication technology (CT) have ignited significant interest in the cutting-edge concept of the digital twin (DT), which holds the potential to revolutionize smart microgrid systems (SMGs). This study delves into the concepts and essential steps involved in constructing a DT-enabled smart microgrid (DT-SMG), emphasizing the necessity for complete automation to enhance device intelligence. Additionally, the paper discusses implementation standards for automation and the need for further modifications to accommodate future applications. The objective is to explore important DT-SMG use cases, and discuss the associated problems and potential solutions within DT-based automation frameworks. Recognizing the criticality of situational awareness, security, and resilience in DT-SMGs, the paper conducts a comparative study, highlighting the pros and cons gleaned from existing literature. These findings offer readers a comprehensive perspective, empowering them to develop and deploy DT technology across a spectrum of power system applications. Finally, the paper looks ahead to the future horizon of DT-SMGs.

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引用次数: 0

Investigating the techniques used for improving the aerodynamic performance of Archimedes spiral wind turbines: A comprehensive review and future work avenues

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-09 DOI: 10.1016/j.rineng.2025.103992

Ahmed Essa Faisal , Chin Wai Lim , Balasem Abdulameer Jabbar Al-Quraishi , Gamal Alkawsi , Chung Hong Tan , Jassinnee Milano , Chen Chai Phing , Khaled Al-Farhany , Sieh Kiong Tiong

In the global pursuit of sustainable urban energy solutions, urban centers' significant contributions to energy consumption and carbon emissions have driven cities to adopt energy efficiency policies and renewable resources. Archimedes spiral wind turbines (ASWTs) offer promising technology due to their spiral blade design, which ensures high efficiency at low to medium wind speeds, automatic wind direction alignment, and low noise emissions. This paper provides a comprehensive review and critical analysis of aerodynamic performance enhancement techniques for ASWTs, identifying key research gaps and suggesting future research directions. These include investigating the synergistic relationships of key blade dimensions such as diameter, length, and blade angle, concurrent with the development of more efficient augmentation systems, and improving advanced materials used to increase durability and reduce solidity. The analysis also compares previous methodologies and offers guidance on integrating ASWTs effectively within urban areas, contributing to cleaner and more sustainable energy solutions.

{"title":"Investigating the techniques used for improving the aerodynamic performance of Archimedes spiral wind turbines: A comprehensive review and future work avenues","authors":"Ahmed Essa Faisal , Chin Wai Lim , Balasem Abdulameer Jabbar Al-Quraishi , Gamal Alkawsi , Chung Hong Tan , Jassinnee Milano , Chen Chai Phing , Khaled Al-Farhany , Sieh Kiong Tiong","doi":"10.1016/j.rineng.2025.103992","DOIUrl":"10.1016/j.rineng.2025.103992","url":null,"abstract":"<div><div>In the global pursuit of sustainable urban energy solutions, urban centers' significant contributions to energy consumption and carbon emissions have driven cities to adopt energy efficiency policies and renewable resources. Archimedes spiral wind turbines (ASWTs) offer promising technology due to their spiral blade design, which ensures high efficiency at low to medium wind speeds, automatic wind direction alignment, and low noise emissions. This paper provides a comprehensive review and critical analysis of aerodynamic performance enhancement techniques for ASWTs, identifying key research gaps and suggesting future research directions. These include investigating the synergistic relationships of key blade dimensions such as diameter, length, and blade angle, concurrent with the development of more efficient augmentation systems, and improving advanced materials used to increase durability and reduce solidity. The analysis also compares previous methodologies and offers guidance on integrating ASWTs effectively within urban areas, contributing to cleaner and more sustainable energy solutions.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103992"},"PeriodicalIF":6.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166790","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}

引用次数: 0

A comprehensive review on deep learning techniques in power system protection: Trends, challenges, applications and future directions

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-07 DOI: 10.1016/j.rineng.2024.103884

Manohar Mishra , Jai Govind Singh

The new edged and multi-source integrated electric power systems (EPSs) with increasing complexity necessitate advanced protection mechanisms to meet the demand for reliability. The primary goal of this review is to explore the potential of deep learning (DL) as a transformative tool in power system protection (PSP). The initial objective is to perform an across-the-board bibliometric study to recognize trends, key contributors, and research hotspots in DL applications within this arena. This analysis has tapped data from primary scientific databases, centering on publication trends, citation patterns, and collaborative associations. Furthermore, this study analyses numerous applications of DL in PSP, including automatic fault recognition, differential and distance protection, anomaly detection, adaptive mechanisms, and cybersecurity. The findings show a rising interest and investment in DL expertise for PSP, with distinguished support from a diverse range of scientists and academicians. Extensive case reports of DL applications reveal substantial developments in fault detection and location accuracy, tripping times, and system adaptability, outperforming conventional PSP approaches. This comprehensive survey highlights the potential of deep learning to improve the resilience and safety of utility systems, leading to a more stable and efficient energy distribution network. As a result of this advancement, several societal impacts can be observed, such as reduced power outages, upgraded safety, and a more sustainable energy supply, benefiting both consumers and the industry landscape.

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引用次数: 0

Handover decision with multi-access edge computing in 6G networks: A survey

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-01-07 DOI: 10.1016/j.rineng.2025.103934

Saeid Jahandar , Ibraheem Shayea , Emre Gures , Ayman A. El-Saleh , Mustafa Ergen , Mohammad Alnakhli

Multi-Access Edge Computing (MEC) is a key technology in the evolution of mobile networks, especially for fifth and sixth generation (5G and 6G). MEC optimises communication and computational resources by hosting application processes close to the user equipment (UE) at the network edge, improving communication reliability and stability while reducing latency. A key feature of MEC is its ultra-low latency response, enabling real-time applications in next-generation networks. However, the mobility of UEs and the limited coverage of edge servers can lead to frequent handovers during the offloading process. As a result, advanced handover management strategies are required to jointly optimise handover and computation offloading. This paper provides a comprehensive overview of handover decision making in MEC systems, with particular emphasis on the challenges and solutions associated with the integration of communication, computation and mobility management. We examine the current state of research, provide an analysis of existing studies, and identify key gaps in the literature. The novelty of this work lies in its holistic approach to exploring the interdependencies between handover management, mobility control and computation offloading, while proposing future research directions. This work provides a forward-looking perspective on how these interrelated issues are likely to evolve, particularly in the context of future mobile networks using MEC technology.

{"title":"Handover decision with multi-access edge computing in 6G networks: A survey","authors":"Saeid Jahandar , Ibraheem Shayea , Emre Gures , Ayman A. El-Saleh , Mustafa Ergen , Mohammad Alnakhli","doi":"10.1016/j.rineng.2025.103934","DOIUrl":"10.1016/j.rineng.2025.103934","url":null,"abstract":"<div><div>Multi-Access Edge Computing (MEC) is a key technology in the evolution of mobile networks, especially for fifth and sixth generation (5G and 6G). MEC optimises communication and computational resources by hosting application processes close to the user equipment (UE) at the network edge, improving communication reliability and stability while reducing latency. A key feature of MEC is its ultra-low latency response, enabling real-time applications in next-generation networks. However, the mobility of UEs and the limited coverage of edge servers can lead to frequent handovers during the offloading process. As a result, advanced handover management strategies are required to jointly optimise handover and computation offloading. This paper provides a comprehensive overview of handover decision making in MEC systems, with particular emphasis on the challenges and solutions associated with the integration of communication, computation and mobility management. We examine the current state of research, provide an analysis of existing studies, and identify key gaps in the literature. The novelty of this work lies in its holistic approach to exploring the interdependencies between handover management, mobility control and computation offloading, while proposing future research directions. This work provides a forward-looking perspective on how these interrelated issues are likely to evolve, particularly in the context of future mobile networks using MEC technology.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103934"},"PeriodicalIF":6.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167287","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}

引用次数: 0