• Wind Turbine Wake Effects on Wind Resource Assessments – a Case Study 

      Jin, Jia Yi; Ghani, Rizwan; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-24)
      This paper describes a case study of wind turbine wake loss effects on wind resource assessment in cold region. One year wind park SCADA data is used. Computational Fluid Dynamics (CFD) based numerical simulations are carried out for wind resource assessment and estimation of resultant Annual Energy Production (AEP). Numerical results are compared with the field SCADA data, where a good agreement ...
    • Study of Ice Accretion on Horizontal Axis Wind Turbine Blade Using 2D and 3D Numerical Approach 

      Jin, Jia Yi; Virk, Muhammad Shakeel; Hu, Qin; Jiang, Xingliang (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-07)
      In order to optimize the wind turbine operation in ice prone cold regions, it is important to better understand the ice accretion process and how it affects the wind turbine performance. In this paper, Computational Fluid Dynamics (CFD) based 2D and 3D numerical techniques are used to simulate the airflow/droplet behaviour and resultant ice accretion on a 300 kW wind turbine blade. The aim is to ...
    • Aerodynamic forces on iced cylinder for dry ice accretion – A numerical study 

      Sokolov, Pavlo; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-28)
      Within this paper the ISO 12494 assumption of standard of slowly rotating reference collector under ice accretion has been tested. This concept, introduced by (Makkonen, 1984), suggests that the power line cables, which are the basis of the “reference collector” in the ISO framework, are slowly rotating under ice load, due to limited torsional stiffness. For this purpose, several Computational Fluid ...
    • Brought by Degrees: A Focus on the Current Indicators of Lean ‘Smartness’ in Smart Cities 

      Collins, Dave; Johansen, Agnar; Kalsaas, Bo Terje; Temeljotov Salaj, Alenka; Hamdy, Mohamed (Chapter; Bokkapittel, 2021)
      The purpose of this paper is to look at the indicators to which a city can be considered to be a smart city based upon the degree it meets specific indicators within the categories of ‘Social Smartness’, ‘Technological Smartness’ and ‘Environmental Smartness’. The data collection for this paper was conducted through desk research in academic and non academic articles and publications that focus on ...
    • Overview study on challenges of additive manufacturing for a healthcare application 

      Wakjira, Yosef Adugna; Lemu, Hirpa G.; Akessa, Adugna Deressa (Journal article; Tidsskriftartikkel; Peer reviewed, 2021)
      Additive manufacturing is a rapidly evolving manufacturing technology bringing numerous and wide opportunities for the design team involved in the process by creating intricate and customized products with saving labor, time, and other expenses. Innovative AM methods and numerous practical applications in aerospace, automotive, medical, energy, and other industries have been developed and commercialized ...
    • Solving a Real-World Urban Postal Service Network Redesign Problem 

      Yu, Hao; Sun, Xu; Solvang, Wei Deng; Laporte, Gilbert (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-28)
      Due to recent technological advancements, more diversified customer demand, and increasingly harder competition, traditional postal service systems have experienced significant changes all over the world. In Norway, through a strategic reform called post-in-shop, undertaken in 2013, most postal services are now provided at postal service counters located in retailer stores in order to improve ...
    • A Simulation-Based Analysis for Effective Distribution of COVID-19 Vaccines: A Case Study in Norway 

      Sun, Xu; Andol, Eugenia Ama; Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-08-24)
      Since December 2020, the vaccines from several manufacturers, e.g., Pfizer/BioNTech, Moderna, etc., have been approved for mass vaccination to control the COVID-19 pandemic, which has caused more than 100 million infections and 2.4 million deaths. These vaccines are produced and transported in large quantities to suffice the needs of several countries. Before arriving at the end-users, the vaccines ...
    • Energy, Exergy, And Environmental Assessment Of A Small-Scale Solar Organic Rankine Cycle Using Different Organic Fluids 

      Polanco Pinerez, Geanette; Ochoa, Guillermo Valencia; Duarte-Forero, Jorge (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09)
      This article presents an energetic, exergetic, and environmental (3E) analysis of a solar powered simple Rankine Organic Cycle (ORC). The ORC is simulated using three organic working fluids, such as Toluene, Cyclohexane, and Acetone, meanwhile the solar system uses thermal oil Therminol 75. The present study shows the performance of this coupled system using historical solar annual radiation data ...
    • Smart Monitoring of Manufacturing Systems for Automated Decision-Making: A Multi-Method Framework 

      Pourhejazy, Pourya (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-15)
      Smart monitoring plays a principal role in the intelligent automation of manufacturing systems. Advanced data collection technologies, like sensors, have been widely used to facilitate real-time data collection. Computationally efficient analysis of the operating systems, however, remains relatively underdeveloped and requires more attention. Inspired by the capabilities of signal analysis and ...
    • Using Slightly Imbalanced Binary Classification to Predict the Efficiency of Winter Road Maintenance 

      Hatamzad, Mahshid; Polanco Pinerez, Geanette; Cesselgren, Johan (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-30)
      The prediction of efficiency scores for winter road maintenance (WRM) is a challenging and serious issue in countries with cold climates. While effective and efficient WRM is a key contributor to maximizing road transportation safety and minimizing costs and environmental impacts, it has not yet been included in intelligent prediction methods. Therefore, this study aims to design a WRM ...
    • The Application of Industry 4.0 Technologies in Sustainable Logistics: A Systematic Literature Review (2012-2020) to Explore Future Research Opportunities 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng; Wang, Yi; Wang, Kesheng (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-10)
      Nowadays, the market competition becomes increasingly fierce due to diversified customer needs, stringent environmental requirements, and global competitors. One of the most important factors for companies to not only survive but also thrive in today’s competitive market is their logistics performance. This paper aims, through a systematic literature analysis of 115 papers from 2012 to 2020, at ...
    • A DEA-based decision analytics framework for product deletion in the luxury goods and fashion industry 

      Pourhejazy, Pourya; Thamachutha, Patcharaporn; Namthip, Tago-in (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-13)
      Traditionally, product deletion is a reactive decision driven by low sales volume and profit margin. However, the complexities involved in product management and consumer behavior volatilities make it necessary to account for a broad range of financial and non-financial factors. Besides, proactive product deletion may be required for a company to reduce the risk of draining resources, adjust to the ...
    • Influence of large-scale asperities on the stability of concrete dams 

      Ulfberg, Adrian; Jaime, Gonzales-Libreros; Das, Oisik; Sas, Gabriel; Andersson, Erik; Bista, Dipen; Arntsen, Bård; Seger, Andreas (Chapter; Bokkapittel, 2022)
      For concrete dams founded on rock, there are only a few options in the common analysis methods to account for large‐scale asperities. However, previous research alludes that they have a significant impact on the behaviour of interfaces under shear. This study investigates the behaviour of concrete dam scale models with varying interface geometries, under a realistic set of eccentric loads. The outcome ...
    • Study of Dry Ice Growth on Duplex Cylinders 

      Sokolov, Pavlo; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2022)
      A study of dry ice growth on bundled (duplex) cylinders has been performed using icing wind tunnel experiments and computational fluid dynamics (CFD) numerical simulations. The aim of this study is to "fill the gaps" in the works of Wagner (2010) and Qing et al. (2018). The numerical simulations cover a range of possible icing conditions by varying the operating wind speed, median volume diameter, ...
    • Conceptual Design of Ice Detection/Mitigation System Based on Infrared Thermography 

      Adeel, Yousuf; Khawaja, Hassan; Virk, Muhammad Shakeel (Conference object; Konferansebidrag, 2022)
      Ice accretion has been a persisting issue in cold regions and poses a threat to onshore and offshore infrastructure, especially to sensitive equipment and personnel safety. Thermal infrared imaging (thermography) can be used as a non-destructive, non- invasive technique to determine the presence and thickness of ice over a surface. The paper presents early-stage experiment results with a FLIR® Lepton ...
    • Investigation of ice accretion effect on the aerodynamic characteristics of a wind turbine blade tip after a short icing event 

      Kangash, Aleksei; Pankratov, E V; Kosarev, I A; Maryandyshev, Pavel; Virk, Muhammad Shakeel (Conference object; Konferansebidrag, 2022-01)
      The paper investigates the flow behavior near the NACA 64-618 airfoil profile of the blade tip section of a wind turbine for electric power production after a short icing event. The flow simulation considering the rotation speed of the wind turbine blade is performed to assess the effect of icing on the aerodynamic characteristics. Degradation of aerodynamic characteristics affects the electrical ...
    • Learning Through Action: On the Use of Logistics4.0 Lab as Learning Developer 

      Peron, Mirco; Alfnes, Erlend; Sgarbossa, Fabio (Chapter; Bokkapittel, 2022-01-01)
      The concept of learning factory is taking more and more hold as teaching method, especially after the advent of Industry 4.0 (I4.0). Learning factories have in fact proved to be effective in developing knowledge and skills necessary for students to master the potentialities of adopting new I4.0 technologies in several aspects of production and logistics systems. Driven by these potentialities and ...
    • Simulating wind characteristics through direct optimization procedures: illustration with three Russian sites 

      Kangash, Aleksei; Virk, Muhammad Shakeel; Maryandyshev, Pavel; Brillard, Alain (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-29)
      Wind energy assessment of a territory where a wind park is planned to be built is important. This can be performed through an appropriate evaluation of the wind characteristics in this territory. To simulate the wind speeds, a Weibull function is recommended whose parameters are classically determined either applying logarithms or using one of the formulas proposed in the literature. In the present ...
    • Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups 

      Pourhejazy, Pourya; Cheng, Chen-Yang; Ying, Kuo-Ching; Nam, Nguyen Hoai (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-03)
      Integrated scheduling of distributed manufacturing operations has implications for supply chain optimization and requires further investigations to facilitate its application area for various industry settings. This study extends the limited literature of the distributed two-stage production-assembly scheduling problems offering a twofold contribution. First, an original mathematical extension, the ...
    • Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation 

      Chen-Yang, Cheng; Yin-Yann, Chen; Pourhejazy, Pourya; Chih-Yu, Lee (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-10)
      With growing concerns about the depletion of rare-earth elements, managing End-of-Life products has become a key sustainability initiative in the supply chains of global corporations. Recycling, the process of dismantling, separating, and recovery of components and raw materials from wastes, is technologically challenging and should be planned in such a way as to ensure operational efficiency ...