• A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy 

      Chen, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-30)
      Wind data are vital for the research in renewable energy research. Their quality from numerical weather prediction significantly influences the wind energy models. This paper utilizes a comprehensive statistical analysis for analyzing predictive errors, named residuals of wind speed and direction modeled by numerical weather prediction models. The analysis, taken an Arctic wind site as an example, ...
    • Computational Fluid Dynamic Analysis of the Tesla Turbine 

      Strand, Cathrine; Eidesen, Hans-Kristian; Khawaja, Hassan Abbas (Conference object; Konferansebidrag, 2016-12-08)
      Serbian-born inventor Nikola Tesla invented the Tesla turbine and patented it in 1913. The Tesla turbine is unique in the sense that it does not have any blades, also referred to as “bladeless turbine”. The working was based on the establishment of the fluid boundary layer. The original Tesla turbine consisted of multiple smooth discs. With the passage of flow, a boundary layer establishes and skin ...
    • Computational Fluid Dynamic Analysis of the Tesla Valve 

      Eidesen, Hans-Kristian; Khawaja, Hassan Abbas (Conference object; Konferansebidrag, 2016-12-08)
      Serbian-born inventor Nikola Tesla invented the Tesla valve (Tesla's Valvular Conduit) and patented it in 1919. The Tesla valve is unique in the sense that it does not have any moving parts, but it can work as a one-way valve. Nikola Tesla invented this unit without advanced mathematical models, nor with the help of modern computing power. The original Tesla valve consisted of a set of cavities and ...
    • Computer-assisted management training for professionals in High Arctic SAR -operations. 

      Sætren, Gunhild Birgitte; Stenhammer, Hege Christin; Andreassen, Natalia; Borch, Odd Jarl (Conference object; Konferansebidrag, 2021-11)
      This paper takes as a starting point the competence needs of managers responsible for the complex crisis response operations in a High Arctic setting. We elaborate on the need for competence on multi-organizational cooperation and coordination at tactical and operational management levels in maritime mass rescue operations (MRO). We look into the special context of High Arctic environments with ...
    • Computer‑assisted management training for emergency response professionals in challenging environments 

      Sætren, Gunhild Birgitte; Stenhammer, Hege Christin; Andreassen, Natalia; Borch, Odd Jarl (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-17)
      Coordinating complex crisis responses generally requires comprehensive skills. When operating in the High Arctic, extreme environments make this task even more challenging. Training for these situations is thus of utmost importance, but such training requires extensive resources for full-scale exercises. Simulation is an alternative that can yield an effective learning process and learning outcomes. ...
    • A Concept of Information-Based Strategy for Accident Prevention 

      Zhu, Tiantian; Naseri, Masoud; Liu, Yiliu (Chapter; Bokkapittel, 2023)
      With the increasing use of sensor technology, it has become common practice to use collected data to reduce uncertainty and ensure safety. This paper presents the concept of an information-based strategy for accident prevention that puts more weight on hazard detection and monitoring and makes use of data obtained. The information-based strategy can be considered as a new barrier for safety management. ...
    • Conceptual design of high speed supersonic aircraft: A brief review on SR-71 (Blackbird) aircraft 

      Xue, Hui; Khawaja, Hassan Abbas; Moatamedi, Mojtaba (Journal article; Tidsskriftartikkel; Peer reviewed, 2014)
    • Conceptualizing AMR as a creeping disaster in terms of pace and space 

      Staupe-Delgado, Reidar; Engstrom, Alina; Cadiz, Sebastian Andres Frugone (Chapter; Bokkapittel, 2023)
      Traditionally defined, disasters are understood as relatively limited in duration. Yet we also know that some disasters are of a creeping and indeed perpetual nature – their onsets do not seize to advance. One example is AMR. In theory, it should be easier to respond to such creeping disasters as a result of their slow build up. In reality, however, swift response to creeping disasters rarely ...
    • Construction and Installation of the New CERN Proton Synchrotron Internal Beam Dumps 

      Andersen, Kristian G; Calviani, Marco; Cherif, Ahmed; Coiffet, Thibaut; De Macedo, Aurelio; Devidal, Sylvain; Geisser, Jean-Marie; Gilardoni, Simone S; Gillet, Martin; Grenier-Boley, Edouard; Heredia, Jorge; Majbour, Abdelhabib; Monnet, Franck; Monteserin, Manuel Redondas; Nuiry, Francois-Xavier; Pugnat, Dominique; Romagnoli, Giulia; Seraphin, Yann; Somoza, Jose; Thaus, Nicolas (Chapter; Bokkapittel, 2021-08-26)
      In the framework of the CERN Large Hadron Collider Injectors Upgrade (LIU) Project, the Proton Synchrotron (PS) has been equipped with two new movable Internal Dumps (PSID), each of them capable of absorbing particle beams of an energy of up to 100 kJ. These dumps replace the old Internal Dumps, which have been operated in the accelerator complex since their installation in 1975 until their ...
    • Coordinate Conversion and Switching Correction to Reduce Vessel Heading-Related Errors in High-Latitude Navigation 

      Wang, Yufei; Perera, Lokukaluge Prasad Channa; Batalden, Bjørn-Morten Erdal (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-22)
      Considering the distortion errors of projected coordinates and the switching property of vessel heading, coordinate conversion and switching correction methods are proposed to modify a kinematic motion model and the Unscented Kalman Filter (UKF). The coordinate conversion method utilizes the grid convergence from a Universal Transverse Mercator (UTM) projection to correct the vessel heading. The ...
    • Corporate social responsibility in complex systems based on sustainable development 

      Nouri Qarahassanlou, Ali; Barabadi, Abbas (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-21)
      In recent years, sustainable development and the commitment of companies to social responsibility have been emphasized as a new concern for various industries. Considering this issue, for the first time, this study conducted a systematic review of the development of social responsibility from the perspective of industrial sustainable development (SD). To be more precise, this study investigated ...
    • Criteria-Based Fuzzy Logic Risk Analysis of Wind Farms Operation in Cold Climate Regions 

      Barabadi, Abbas; Mustafa, Albara M. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-12)
      Different risks are associated with the operation and maintenance of wind farms in cold climate regions, mainly due to the harsh weather conditions that wind farms experience in that region such as the (i) increased stoppage rate of wind turbines due to harsh weather conditions, (ii) limited accessibility to wind farms due to snow cover on roads, and (iii) cold stress to workers at wind farms. In ...
    • Critical infrastructure resilience: A Nordic model in the making? 

      Pursiainen, Christer Henrik (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-08-19)
      In recent years, there has been a shift in emphasis from critical infrastructure protection to that of resilience. This development reflects the acknowledgment that complete protection can never be guaranteed, and that achieving the desired level of protection is not cost-effective as a rule in relation to the actual threats. This article reviews the responses of four of the five Nordic countries ...
    • Cross-Domain Transfer Learning for Natural Scene Classification of Remote-Sensing Imagery 

      Akhtar, Muhammad; Murtza, Iqbal; Adnan, Muhammad; Saadia, Ayesha (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-05)
      Natural scene classification, which has potential applications in precision agriculture, environmental monitoring, and disaster management, poses significant challenges due to variations in the spatial resolution, spectral resolution, texture, and size of remotely sensed images of natural scenes on Earth. For such challenging problems, deep-learning-based algorithms have demonstrated amazing ...
    • Cyberspace Effects on Civil Society. The Ultimate Game-Changer or Not? 

      Montalvan Castilla, Johana Evelyn; Pursiainen, Christer Henrik (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-04)
      The article studies the effects of the emergence of cyberspace, or digitization, on civil society, and develops an analytical framework to that effect. It is distinguished between four types of civil societies: apolitical, political, transnational, and uncivic. Each type of civil society is considered separately vis-à-vis cyberspace developments in order to understand what kind of civil society is ...
    • D8 flow model for pollutants dispersion: A case study at Bogdalen watershed between the Raudfjell and Kvitfjell wind farm, North of Norway 

      Bui, Minh Tuan; Lu, Jinmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2019)
      Investments in wind power are booming in Norway. Several wind power plants have been constructed to exploit the wind energy. However, construction of wind farms has potential impacts on the surrounding environment. Particularly, waste from construction site or activities of workers, leakage of oil and chemical would spread into the nearby waterbodies by runoff or infiltrating into ground. Hence, ...
    • Damage Characterisation in Composite Laminates Using Vibro-Acoustic Technique 

      Andersen, Kristian G; Jombo, Gbanaibolou; Ismail, Sikiru Oluwarotimi; Chen, Yong Kang; Dhakal, Hom Nath; Zhang, Yu (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-30)
      The need to characterise in-service damage in composite structures is increasingly becoming important as composites find higher utilisation in wind turbines, aerospace, automotive, marine, among others. This paper investigates the feasibility of simplifying the conventional acousto-ultrasonic technique set-up for quick and economic one-sided in-service inspection of composite structures. Acousto-ultrasonic ...
    • Data driven control based on Deep Q-Network algorithm for heading control and path following of a ship in calm water and waves 

      Sivaraj, Sivaraman; Rajendran, Suresh; Perera, Lokukaluge Prasad Channa (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-06)
      A reinforcement learning algorithm based on Deep Q-Networks (DQN) is used for the path following and heading control of a ship in calm water and waves. The rudder action of the ship is selected based on the developed DQN model. The spatial positions, linear velocities, yaw rate, Heading Error (HE) and Cross Track Error (CTE) represent the state-space, and a set of rudder angles represents the action ...
    • Data-augmented sequential deep learning for wind power forecasting 

      Chen, Hao; Birkelund, Yngve; Qixia, Zhang (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-15)
      Accurate wind power forecasting plays a critical role in the operation of wind parks and the dispatch of wind energy into the power grid. With excellent automatic pattern recognition and nonlinear mapping ability for big data, deep learning is increasingly employed in wind power forecasting. However, salient realities are that in-situ measured wind data are relatively expensive and inaccessible and ...
    • Data-driven modeling of energy-exergy in marine engines by supervised ANNs based on fuel type and injection angle classification 

      Taghavifar, Hadi; Perera, Lokukaluge Prasad Channa (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-16)
      The application of artificial neural networks with the involvement of a modified homogeneity factor to predict exergetic terms from combustive and/or mixing dynamics in a marine engine is considered in this study. This is a significant step since the mathematical formulation of exergy in combustion is complicated and even unconvincing due to the turbulent and highly nonlinear nature of the combustion ...