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| 2. |
- Aihara, Aya, et al.
(författare)
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Vortex induced vibration energy extraction modeling via forced versus free vibration
- 2017
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Ingår i: Proceedings Of Oceans 2017 - Aberdeen. - : IEEE. - 9781509052790 - 9781509052783 - 9781538621110
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Konferensbidrag (refereegranskat)abstract
- Vortex induced vibrations (VIV) for energy extraction have been revisited in last years by both marine power and wind power communities. Even though vortex induced vibrations have been focus of research for many years, energy extraction from vortex induced vibrations is relevantly new field which needs more detailed investigation and modeling. To this end, there has been recent experimental and modeling parametric studies where VIV was modeled by solution of one-degree-of-freedom ordinary differential equation spring system where engineering modeling of vortex induced vibration for energy extraction has been investigated based on a spring system with the forces defined from forced oscillation experiments where full coupling of free oscillations were not taken into account. Herein a Computational Fluid Dynamics (CFD) modeling of a circular cylinder will be studied to compare forced and free vibrations in the context of vortex-induced energy extraction. The model is essentially solved by partial differential isothermal incompressible Navier-Stokes equations to model fully mathematical model of the fluid-structure interaction of vortex induced vibration. The comparison between forced and free oscillation response studies of this paper will serve to improve the scientific knowledge where vortex induced vibration modeling are comparatively more limited. The preliminary results are presented herein for forced and free oscillations for the Reynolds number regimes Re = 100 and Re = 3800 in two dimensions for combinations of amplitudes and frequency of oscillations in the context of energy extraction modeling.
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| 3. |
- Aihara, Aya, et al.
(författare)
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Wind Flow Resource Analysis Of Urban Structures : A Validation Study
- 2016
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Konferensbidrag (refereegranskat)abstract
- In order to have better insight into the physics of the urban wind turbines, a Computational Fluid Dynamics (CFD) flow solver has been developed for industrial applications by Uppsala University and SOLUTE Ingenieros. Urban wind resource assessment for small scale wind applications present several challenges and complexities for that are different from large-scale wind power generation. Urban boundary layer relevant in this regime of flows have different horizontal profiles impacted by the buildings, low speed wind regimes, separation and different turbulence characteristics. Preliminary measurement results will be presented for a particular site in Huesca Spain where a measurement campaign is undertaken to validate the CFD results.
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| 4. |
- Arghandeh, Reza, et al.
(författare)
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Data Driven Reliable and Resilient Energy System Against Disasters
- 2021
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Ingår i: IEEE Transactions on Industrial Informatics. - : Institute of Electrical and Electronics Engineers (IEEE). - 1551-3203 .- 1941-0050. ; 18:3, s. 2075-2077
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Disasters Such As Hurricanes, Earthquakes, Wildfires, Etc. Are Felt Most Acutely At local and regional levels. These events have exposed weaknesses in how well-prepared infrastructure operators are to keep their services and provide resilient responses. Outages and service disruptions are largely due to the inability of the affected city infrastructure (i.e., power grids) to cope with random and dynamic disruptive events, translating into resilience deficiencies. A significant challenge is the lack of data availability, sharing, and analysis for emergency planning, and restoration. The Special Section (SS) on Data-driven Reliable and Resilient Energy System Against Disasters in the IEEE Transactions on Industrial Informatics aims to address the data-driven approaches for power systems and infrastructure reliability and resilience during small- and large-scale extreme weather events or natural disasters. The specific aim is to utilize the advancements in data mining and data processing to minimize catastrophic conditions that affect the quality of critical infrastructure operations, quality of life, and economic activities.
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| 5. |
- Erduman, Ali, et al.
(författare)
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Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-Economics
- 2021
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Ingår i: Journal of Modern Power Systems and Clean Energy. - 2196-5625 .- 2196-5420. ; 9:2, s. 356-366
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Tidskriftsartikel (refereegranskat)abstract
- The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure. This problem has a major significance for the investment success for the projects of renewable energy such as wind power. In this study, a mesoscale approach is adopted whereby the wind farm location is investigated in comparison with a microscale approach where the location of each individual turbine is optimized. Specifical study focuses on the placement of a wind farm by economical optimization constrained by the power system, wind resources, and techno-eco-nomics. Linear optimization is introduced in this context at the power system which is constrained by wind farm planning.
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| 6. |
- Erduman, Ali, et al.
(författare)
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Optimized Mesoscale Wind Farm Placement Constrained by Power System Including Earthquake Damage Costs
- 2019
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Ingår i: 2019 4th Annual International Conference on System Reliability and Safety (ICSRS 2019). - 9781728147819 ; , s. 429-435
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Konferensbidrag (refereegranskat)abstract
- Generation expansion of wind power plants is known to span optimization of several different physical scales. On one hand, there is the power system that needs to be duly considered. Power system has different voltage level scales that eventually leads to taxonomy of transmission as well as distribution classification of the power system. On the other hand, wind power based generation follows spatial atmospheric scales that eventually leads to mesoscale and microscale classification of wind power generation. Consequently, optimal expansion of wind farm generation addresses different scales at the level of not only the power system, but also at the level of wind power generation. In addition there are impacts of disaster parameters at spatial-temporal levels, such as earthquakes, something that this article will also focus on. The objective of this study is to investigate a topic of optimization for wind farms relatively less researched in the context of power systems that is wind farm generation expansion at mesoscale level while considering the costs inflicted by earthquake disasters. This is in contrast to generation expansion optimization at microscale level executed for each individual single turbine that does not really need to address generation expansion connection of wind farms in accordance with several different busbars. The mesoscale optimization will be achieved by leveraging the linear optimization method of Benders' Decomposition. Meanwhile the constraints of optimization will be the power system.
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| 7. |
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| 8. |
- Fox, Jamie, et al.
(författare)
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Global Sensitivity Analysis for Power Systems via Quasi-Monte Carlo Methods
- 2019
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Ingår i: 2019 4th International Conference On System Reliability And Safety (ICSRS 2019). - New York : IEEE. - 9781728147819 ; , s. 446-451
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Konferensbidrag (refereegranskat)abstract
- There are many inputs with uncertainty in a power system, due to factors such as uncertainties in the distributed renewable generation, or natural disasters like hurricanes. The global sensitivity analysis of a model quantifies the importance of each input parameter to the model output when input parameters have uncertainty. In global sensitivity analysis, unlike local sensitivity analysis, all input factors are varied simultaneously, and as a consequence, one can assess the impact of the higher order interactions among the parameters. In this paper we will use global sensitivity analysis, in particular the Sobol' sensitivity indices, to assess the importance of input parameters in the IEEE 14-bus modified test system. By identifying unimportant input parameters, we will reduce the complexity of the model. We will use randomized quasi-Monte Carlo methods to estimate the sensitivity indices and perform uncertainty quantification for the output of the reduced model.
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| 9. |
- Goude, Anders, et al.
(författare)
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A GUI for urban wind flow CFD analysis of small scale wind applications
- 2015
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Ingår i: Cyberworlds, 2015 IEEE. - 9781467394031 ; , s. 193-199
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Konferensbidrag (refereegranskat)abstract
- In order to have better insight into the physics of the urban wind turbines, a graphical user interface (GUI) that employs OpenFOAM flow solver has been developed for industrial applications by Uppsala University with Spanish engineering company SOLUTE via EU framework as part of the WINDUR framework 7 project. Urban wind resource assessment for small scale wind applications present several challenges and complexities for that are different from large-scale wind power generation. Urban boundary layer relevant in this regime of flows have different horizontal profiles impacted by the buildings, low speed wind regimes, separation and different turbulence characteristics. This software addresses the project setup and scientific visualization of the results for right investment decision needs. Preliminary numerical results will be presented for a test site in Huesca, Spain where a measurement campaign is undertaken to validate the Computational Fluid Dynamics (CFD) results.
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| 10. |
- Kaidis, Christos, et al.
(författare)
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Wind turbine reliability estimation for different assemblies and failure severity categories
- 2015
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Ingår i: IET Renewable Power Generation. - : Institution of Engineering and Technology (IET). - 1752-1416 .- 1752-1424. ; 9:8, s. 892-899
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Tidskriftsartikel (refereegranskat)abstract
- This study discusses the life-cycle analysis of wind turbines through the processing of operational data from three modern European wind farms. A methodology for supervisory control and data acquisition data processing has been developed combining previous research findings and experience from operational wind farms followed by statistical analysis of the results. The analysis was performed by dividing the wind turbine into assemblies and the failures events in severity categories. Depending on the failure severity category a different statistical methodology was applied, examining the reliability growth and the applicability of the bathtub curve' concept for wind turbine reliability analysis.
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