Results in Engineering最新文献

{"title":"Literature review: Current trends and advances in the use of artificial intelligence for ensuring the safety and efficiency of gas pipeline operations","authors":"Martin Magdin","doi":"10.1016/j.rineng.2025.107309","DOIUrl":"10.1016/j.rineng.2025.107309","url":null,"abstract":"<div><div>The use of artificial intelligence (AI) in gas pipeline monitoring and maintenance represents a significant advancement in the energy industry. This article provides an overview of current trends and AI technologies applied in fault detection, failure prediction, and gas transportation optimization. Key methods include machine learning, deep neural networks, numerical simulations, and digital twins. Research highlights the importance of integrating AI with the physical properties of materials for localizing and assessing corrosion defects. A bibliometric analysis reveals that most studies focus on the application of neural networks, support vector machines, and Bayesian networks in predictive maintenance. Despite significant progress, challenges remain, such as the lack of high-quality datasets, high implementation costs, and regulatory barriers. Future research trends focus on the integration of AI with SCADA systems, improving predictive models, and the broader use of generative neural networks for data synthesis. This review of research trends from 2020 to 2025 underscores the importance of artificial intelligence in the transportation sector and highlights its potential for further development in enhancing the reliability and safety of energy infrastructures.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107309"},"PeriodicalIF":7.9,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107006","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":"Advancing the carbon pricing framework in Indonesia: A systematic review of policies, challenges, and global lessons","authors":"Wahri Sunanda ,&nbsp;M. Isnaeni Bambang Setyonegoro ,&nbsp;Sasongko Pramono Hadi ,&nbsp;Sarjiya","doi":"10.1016/j.rineng.2025.107155","DOIUrl":"10.1016/j.rineng.2025.107155","url":null,"abstract":"<div><div>Indonesia, the largest GHG emitter and carbon sink reservoir in Southeast Asia, faces the dual challenge of achieving net zero emissions by 2060 while sustaining economic growth. This research examines Indonesia's carbon pricing framework, focusing on two key mechanisms: a modest carbon tax and a nascent ETS. Using an SLR and bibliometric analysis, it evaluates implementation progress, including the introduction of a carbon tax at 2 USD per tonne of <span><math><msub><mrow><mtext>CO</mtext></mrow><mrow><mn>2</mn></mrow></msub></math></span> and an ETS targeting coal-fired power plants, alongside persistent challenges such as limited sectoral coverage, low price signals, and institutional fragmentation. Drawing insights from both emerging economies (e.g., South Africa, Colombia) and advanced systems (e.g., Sweden, Canada), the analysis underscores the importance of phased implementation, strong governance, and international alignment. The paper proposes actionable pathways, including a graduated carbon tax roadmap, staged ETS expansion, and enhanced regional collaboration within ASEAN. This study offers a novel scientific contribution by conducting a multidimensional mapping of Indonesia's carbon pricing literature, which categorizes 65 studies by policy instruments, implementation phases, and sectoral coverage, and by identifying a critical disconnect between academic recommendations and real-world implementation. These findings provide an evidence-based foundation for designing more effective and internationally aligned policy reforms. By aligning these reforms with global best practices and leveraging domestic resources, Indonesia can strengthen its carbon pricing architecture and offer a replicable model for sustainable development in other emerging economies.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107155"},"PeriodicalIF":7.9,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107003","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":"Expert and intelligent systems for assessment and mitigation of cascading failures in smart grids: Research challenges and survey","authors":"Faisal Hayat ,&nbsp;Muhammad Adnan ,&nbsp;Muhammad Sajid Iqbal ,&nbsp;Salah Eldeen Gasim Mohamed ,&nbsp;Muhammad Tariq","doi":"10.1016/j.rineng.2025.107148","DOIUrl":"10.1016/j.rineng.2025.107148","url":null,"abstract":"<div><div>Blackouts can result from cascade failure events caused by network instability in smart grid power systems. Network operators can lessen the spread of these incidents throughout the electrical system by identifying and analyzing them early. To detect, examine, and stop these failures, a variety of artificial intelligence-based techniques have been put forth; nonetheless, choosing the best strategy depending on network design continues to be a significant difficulty. With an emphasis on their advantages and disadvantages, this analysis examines cutting-edge approaches for evaluating and preventing cascading failures in smart grids. It looks at a wider range of methodologies than previous studies, such as digital twins, blockchain techniques, artificial intelligence (AI), probabilistic approaches, dynamic methods, quasi-steady-state methods, metaverse applications, and sophisticated control strategies. The article also identifies mitigation techniques that be included in smart grid infrastructure to stop cascading failures, such as optimal power flow algorithms driven by cutting-edge machine learning. This review facilitates the discovery of proactive approaches to detect and mitigate vulnerabilities early by offering researchers and network operators meaningful information through comparative analysis. These findings provide a substantial contribution to the body of knowledge in this area by guaranteeing the resilience of smart grids. To encourage developments in intelligent cascading failure management for smart grid systems, this paper also identifies research gaps and makes recommendations for possible future approaches.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107148"},"PeriodicalIF":7.9,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158891","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":"Risk-based asset integrity management in the oil and gas industry from traditional to machine learning approaches: A systematic review","authors":"Tri Wahono ,&nbsp;Agung Purniawan ,&nbsp;Imam Mukhlash ,&nbsp;Endah R.M. Putri","doi":"10.1016/j.rineng.2025.107287","DOIUrl":"10.1016/j.rineng.2025.107287","url":null,"abstract":"<div><div>Oil and gas operations are categorized as high-risk because they involve numerous equipment and complex processes. Asset integrity management (AIM) aims to mitigate the risk of failure resulting from degradation with corrosion as the primary cause and to maintain equipment safety and functionality. The risk-based inspection (RBI) methodology is one of the AIM processes that considers risks in decision-making to prioritize inspection and maintenance. This paper provides a comprehensive review of risk-based studies in the context of AIM activities. Risk-based AIM is categorized and reviewed based on risk analysis methods, including quantitative, qualitative, semi-quantitative, probabilistic, deterministic, hybrid probabilistic-deterministic, and dynamic or traditional risk. Most research areas used in case studies focus on pipeline applications. Analysis tools for risk assessment and control applied in risk-based AIM, including the evolution of tools from traditional to machine learning approaches, are examined. The current trends and future research opportunities for applying risk-based AIM are also discussed. This study offers risk assessment models for researchers and oil and gas industry practitioners that fit their specific requirements.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107287"},"PeriodicalIF":7.9,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227456","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":"Quasi-static compressive mechanical behaviours of two-phase hybrid lattices based on asymmetric design and bionic strategy","authors":"Xinlong Guang ,&nbsp;Huilan Huang ,&nbsp;Quanping Fu ,&nbsp;Shen Xu ,&nbsp;Xiaolin Deng","doi":"10.1016/j.rineng.2025.107291","DOIUrl":"10.1016/j.rineng.2025.107291","url":null,"abstract":"<div><div>Lattice structures have attracted considerable attention in the fields of aerospace, construction, and marine engineering due to their unique properties and enhanced mechanical performance. Nonetheless, conventional single-configuration lattice structures are constrained by limitations in diversity, versatility, and adaptability across multiple scenarios. To mitigate these constraints, a two-phase hybrid lattice structure with modular assembly capability has been developed. This design allows for reconfiguration based on load conditions and functional requirements. We conduct experimental investigations to characterize the mechanical properties of three novel configurations: the asymmetric re-entrant lattice, the bionic lattice, and their hybrid structure. The results indicate that the hybrid lattice demonstrates improved specific energy absorption and exhibits more diversified and flexible properties compared to the conventional single lattice structure. The specific energy absorption and effective Young's modulus of the double asymmetric re-entrant lattice are improved by 32.8 % and 128.36 %, respectively, when compared to benchmark re-entrant lattice. This approach presents a viable solution for the diversification of engineering structures.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107291"},"PeriodicalIF":7.9,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107005","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":"Hybrid energy platforms: A review of perovskite solar cells coupled with graphene supercapacitors","authors":"Mzoun M. Almutairi ,&nbsp;Mariam H. Alalwan ,&nbsp;Hawraa K. Algharash ,&nbsp;Raghad A. Aldossary ,&nbsp;Nouf K. Al-Saleem ,&nbsp;Yahya A. Alzahrani ,&nbsp;Masfar Alkahtani","doi":"10.1016/j.rineng.2025.107200","DOIUrl":"10.1016/j.rineng.2025.107200","url":null,"abstract":"<div><div>The integration of photovoltaic and energy storage components has garnered significant scientific and technological interest, driven by the growing demand for green energy and the trend toward miniaturization and multi-functionalization in the electronics industry. This study explores the novel integration of perovskite solar cells (PSCs) with solid-state supercapacitors to create efficient power packs for solar energy harvesting and storage. The hybrid system achieves simultaneous photoelectric conversion and energy storage by combining PSCs with high-energy-density graphene-based supercapacitors using common carbon electrodes. This review provides a comprehensive analysis of the fundamental principles, recent advancements, and key challenges in developing these integrated systems. It critically evaluates material properties, device architectures, and performance metrics, highlighting the potential of such hybrid systems for sustainable energy solutions. Additionally, the study outlines future research directions aimed at improving efficiency, scalability, and practical applications of perovskite-supercapacitor power packs. This work contributes to the ongoing efforts to advance renewable energy technologies and meet the increasing demand for compact, multifunctional energy systems.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107200"},"PeriodicalIF":7.9,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107056","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":"Fabrication of microfluidic devices by 3D printing: technology, materials, applications and prospects","authors":"Jinhao Zheng ,&nbsp;Shaohua Ju ,&nbsp;Xian Zhou ,&nbsp;Shihong Tian","doi":"10.1016/j.rineng.2025.107270","DOIUrl":"10.1016/j.rineng.2025.107270","url":null,"abstract":"<div><div>Microfluidic devices have emerged as a cornerstone of chemical process intensification, owing to their exceptional mass and heat transfer efficiencies, precise fluid manipulation, and inherent safety. However, their traditional manufacturing technology is limited by high cost, long cycle and insufficient structural design freedom. Leveraging layer-by-layer additive manufacturing, 3D printing offers a revolutionary approach to fabricating microfluidic devices, characterized by sub-micron resolution, unparalleled design flexibility, and rapid prototyping capabilities. This paper systematically reviews the technical system of 3D printing microfluidic devices for the chemical industry. Starting from the forming mechanism and applicable scenarios of mainstream printing technologies (photocuring, melt extrusion, powder bed melting), the interface characteristics and chemical compatibility of photosensitive resin, thermoplastic wire, metal/ceramic powder and other materials are compared and analyzed. The innovative applications of 3D printed microreactors in chemical scenarios such as catalytic reaction, nanomaterial synthesis, continuous flow separation and multi-functional integration are mainly discussed. Finally, aiming at the key technical bottlenecks such as multi-material co-printing, surface roughness control and high-throughput production, the development direction of high-throughput design-manufacturing-testing platform driven by digital twin is proposed, which provides theoretical support for the industrial application of microfluidic devices and the low-carbon transformation of the chemical industry.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107270"},"PeriodicalIF":7.9,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107136","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":"Clean energy demand in industry 4.0: Trends, challenges, and opportunities","authors":"Sololo Kebede Nemomsa,&nbsp;Naol Dessalegn Dejene,&nbsp;Dame Alemayehu Efa,&nbsp;Dinkisa Tamiru Negari,&nbsp;Dejene Alemayehu Ifa,&nbsp;Devarakonda Harish Kumar","doi":"10.1016/j.rineng.2025.107260","DOIUrl":"10.1016/j.rineng.2025.107260","url":null,"abstract":"<div><div>The combination of Industry 4.0 technologies with clean energy systems presents a strategy that offers a pathway towards high efficiency, resilient, and sustainable industrial operations. This review examined progress in six key enablers, namely the Internet of Things (IoT), Artificial Intelligence (AI), Cyber-Physical Systems (CPS), digital twins, blockchain, and additive manufacturing, focusing on energy optimization, renewable energy integration, and transparent, secure, and adaptive energy management. By carrying out a systematic literature review of peer-reviewed articles and conferences in primary databases, we identified trends, sectoral applications, and barriers to implementation. This analysis provides a foundation for advocacy of the Digital-Clean Synergy Framework (DCSF), a four-layer interoperable architecture comprising sensing, analytics, control, and governance to fully integrate digital and clean energy systems. The reviewed literature suggests that combining multiple enablers can reduce industrial energy consumption, increase renewable energy penetration by 8 - 52 % [<span><span>1</span></span>], decrease downtime, and enhance carbon accounting and traceability through blockchain. However, DCSF is only theoretical; it lacks large-scale empirical validation, agreed interoperability standards, appropriate cybersecurity practices, or hybrid workforce skills. Further research should include cross-sector pilot deployments, lifecycle assessment, and integration across diverse regulatory and infrastructure contexts to demonstrate scalability and economic viability. DCSF offers a pathway to bridge the policy-technology divide and could serve as a scalable model to accelerate industrial decarbonization in line with SDG 7, SDG 9, and SDG 13.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107260"},"PeriodicalIF":7.9,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107081","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":"Toward resource-intelligent greenhouses: A prospective vision for drylands","authors":"Amrit Kumar Thakur ,&nbsp;Aidan Ferguson ,&nbsp;Md Shamim Ahamed ,&nbsp;Zheng Miao ,&nbsp;Mahmoud E. Attia ,&nbsp;Tien-Chieh Hung ,&nbsp;Hasan Fath ,&nbsp;Abdelwahab S. Kassem ,&nbsp;Ahmed Torky Jailany ,&nbsp;Abdalla Zain Eldin","doi":"10.1016/j.rineng.2025.107035","DOIUrl":"10.1016/j.rineng.2025.107035","url":null,"abstract":"<div><div>Greenhouse agriculture offers a promising alternative to open-field cultivation in dryland regions, where extreme temperatures, drought, and poor soil quality restrict conventional food production. However, existing greenhouse systems, often designed for temperate climates, struggle to cope with the thermal and hydric stresses that characterize dryland environments, including arid, semi-arid, and Mediterranean zones. This prospective review presents a systems-level framework for climate-resilient greenhouse design, emphasizing the integration of structural optimization, passive and hybrid cooling strategies, advanced glazing materials, desalination-enabled water reuse, and aquaponics-based biological cycling. Key leverage points include orientation-driven thermal mitigation, membrane-based desalination powered by renewable energy, and decoupled aquaponics systems enabling a precise and climate-smart approach to environmental control. Emerging innovations in evaporative and desiccant hybrid cooling, spectral selective and radiative films, and nutrient-selective electrodialysis further enhance the potential of integrated solutions. The paper highlights how materials science, thermofluid dynamics, and engineering can be harmonized to improve crop productivity, resource efficiency, and climate adaptability in greenhouse production for dryland settings. Rather than viewing cooling, irrigation, and biological production as discrete challenges, the review advocates for interdependent subsystem designs that close thermal, hydric, and nutrient loops within a unified bioclimatic envelope. A circular conceptual framework illustrates these synergies and guides future greenhouse development in water and energy-stressed drylands. By reframing the greenhouse as a regenerative infrastructure, this study outlines a blueprint for an integrated food–water–energy nexus able to operate efficiently and sustainably in the world's most vulnerable agricultural zones.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107035"},"PeriodicalIF":7.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119433","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":"Maximum power point tracking strategies for solar PV systems: A review of current methods and future innovations","authors":"Lyu Guanghua ,&nbsp;Arsalan Muhammad Soomar ,&nbsp;Syed Hadi Hussain Shah ,&nbsp;Shoaib Shaikh ,&nbsp;Piotr Musznicki","doi":"10.1016/j.rineng.2025.107227","DOIUrl":"10.1016/j.rineng.2025.107227","url":null,"abstract":"<div><div>Photovoltaic (PV) systems are critical for solar energy conversion but face performance degradation due to dynamic environmental conditions. Maximum power point tracking (MPPT) algorithms optimize PV operation to ensure maximum power extraction under such variability. This review comprehensively classifies and analyzes MPPT techniques into three categories: classical, adaptive, and hybrid methods. Classical approaches including Perturb and Observe (P&amp;O) and Incremental Conductance (IncCond) remain widely adopted for their simplicity and low-cost implementation yet exhibit limitations under rapid environmental transients. Adaptive methods (e.g., Fuzzy Logic Controllers and Artificial Neural Networks) enhance accuracy and adaptability at the cost of computational resources. Hybrid techniques synergize classical and adaptive strategies to balance stability with responsiveness. The study further examines how temperature, irradiance fluctuations, and partial shading impact PV performance and MPPT efficacy. Critical evaluation reveals strengths and limitations of current methods, highlighting opportunities for reliability and efficiency improvements.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107227"},"PeriodicalIF":7.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107135","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}