Front detection using wind park data and NWP

2020 ◽  
Author(s):  
Franz Feldtkeller ◽  
Annekatrin Kirsch ◽  
Greta Denisenko ◽  
Markus Abel
Keyword(s):  
Weather Prediction ◽  
Numerical Data ◽  
Offshore Wind ◽  
Relative Location ◽  
Forecast System ◽  
Front Speed ◽  
Forecasting Error ◽  
Wind Park ◽  
Front Detection ◽  
Offshore Wind Parks

<p>The precise forecasting of ramps in production of windparks is a problem that is not satifsfactorily solved. This is of particular interest because ramps contribute to a major part to the forecasting error in power production, in particular for offshore wind parks.</p><p>Since ramps are often due to fronts passing a location, we developed a method for the correction of front speed and -direction using a combination of wind park meteorological measurements and numerical weather prediction (NWP). On one hand we use conventional methods like the Canny algorithm for NWP data, on the other hand, we use data from a collection of wind parks to determine a passing front. By the front speed, and the relative location of wind parks, the front speed is computed and a correction can  be applied to downstream wind parks.</p><p>The results can be  validated and a corresponding error measure can be computed on the basis of measured and numerical data. Our method shall be implemented into a proprietary forecast system with the goal of an automatized detection and correction mechanism.</p>

scholarly journals The Triple Helix Frame Contributes to Strategic Innovation in Nearshore Wind Park Ecosystems

Triple Helix ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 1-35
Author(s):  
Tove Brink
Keyword(s):  
Triple Helix ◽  
Offshore Wind ◽  
Individual Interviews ◽  
Port Authorities ◽  
Strategic Innovation ◽  
Cost Of Energy ◽  
Ecosystem Level ◽  
Wind Park ◽  
Offshore Wind Parks

This research shows how port authorities in a triple helix context can contribute to strategic innovation with reduction of Levelized Cost of Energy in nearshore wind park ecosystems. The empirical qualitative case study was conducted from September 2017 to June 2018 with a port and a nearshore wind park owner and a logistic business actor operating on land and one operating at sea. Individual interviews and three joint network meetings provided data for the research. The findings reveal that port authorities in triple helix contexts can contribute to strategic innovation through use of the cross-disciplinary trinity of ‘organization’, ‘business model innovation’ and ‘financial cash flow’ to address value creation on project ecosystem level. The findings are summarized in a model for overview on the shift in interest and the basic understanding of flow. It is shown that the triple helix discussions provide a meaningful frame to achieve strategic innovation for competitive advantage of renewable wind energy ecosystem.Keywordsstrategic innovation – ecosystems – renewable energy – offshore wind parks

scholarly journals Sensitivity of an Idealized Tropical Cyclone to the Configuration of the Global Forecast System–Eddy Diffusivity Mass Flux Planetary Boundary Layer Scheme

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 284
Author(s):  
Evan A. Kalina ◽  
Mrinal K. Biswas ◽  
Jun A. Zhang ◽  
Kathryn M. Newman
Keyword(s):  
Boundary Layer ◽  
Planetary Boundary Layer ◽  
Weather Prediction ◽  
Intensity Change ◽  
Rapid Intensification ◽  
Forecast System ◽  
Stability Functions ◽  
Non Local ◽  
The Stability ◽  
Heat And Moisture

The intensity and structure of simulated tropical cyclones (TCs) are known to be sensitive to the planetary boundary layer (PBL) parameterization in numerical weather prediction models. In this paper, we use an idealized version of the Hurricane Weather Research and Forecast system (HWRF) with constant sea-surface temperature (SST) to examine how the configuration of the PBL scheme used in the operational HWRF affects TC intensity change (including rapid intensification) and structure. The configuration changes explored in this study include disabling non-local vertical mixing, changing the coefficients in the stability functions for momentum and heat, and directly modifying the Prandtl number (Pr), which controls the ratio of momentum to heat and moisture exchange in the PBL. Relative to the control simulation, disabling non-local mixing produced a ~15% larger storm that intensified more gradually, while changing the coefficient values used in the stability functions had little effect. Varying Pr within the PBL had the greatest impact, with the largest Pr (~1.6 versus ~0.8) associated with more rapid intensification (~38 versus 29 m s−1 per day) but a 5–10 m s−1 weaker intensity after the initial period of strengthening. This seemingly paradoxical result is likely due to a decrease in the radius of maximum wind (~15 versus 20 km), but smaller enthalpy fluxes, in simulated storms with larger Pr. These results underscore the importance of measuring the vertical eddy diffusivities of momentum, heat, and moisture under high-wind, open-ocean conditions to reduce uncertainty in Pr in the TC PBL.

scholarly journals A multivariate Markov Weather Model for O&M Simulation of Offshore Wind Parks

2013 ◽  
Vol 35 ◽  
pp. 137-147 ◽  
Author(s):  
Brede Hagen ◽  
Ingve Simonsen ◽  
Matthias Hofmann ◽  
Michael Muskulus
Keyword(s):  
Offshore Wind ◽  
Weather Model ◽  
Offshore Wind Parks

Validation of a Numerical Model for the Investigation of Tension Leg Platforms With Marine Energy Application Using REEF3D

2021 ◽  
Author(s):  
Christian Windt ◽  
Nils Goseberg ◽  
Tobias Martin ◽  
Hans Bihs
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Model ◽  
Numerical Modelling ◽  
Numerical Data ◽  
Wave Structure ◽  
Offshore Wind ◽  
High Resolution Data ◽  
Marine Energy ◽  
Mooring Dynamics

Abstract Exploiting the offshore wind resources using floating offshore wind systems at sites with deep water depths requires advanced knowledge of the system behaviour, including the hydro-, areo-, and mooring dynamics. To that end, high-fidelity numerical modelling tools, based on Computational Fluid Dynamics, can support the research and development of floating offshore wind systems by providing high-resolution data sets. This paper presents the first steps towards the numerical modelling of tension leg platforms for floating offshore wind applications using the open-source Computational Fluid Dynamics toolbox REEF3D. The numerical model of a taut-moored structure is validated against experimental reference data. Results from wave-only test cases highlight the simplicity and effectiveness of the wave generation method, implemented in REEF3D. For the considered wave-structure interaction cases, deviations between the experimental and numerical data can be observed for the surge and pitch displacements, while the heave displacement and the mooring forces are capture with sufficient accuracy. Overall, the numerical results indicate high potential of REEF3D to be used for the modelling of floating offshore wind systems.

Objective 3D atmospheric front detection in high-resolution numerical weather prediction data

2021 ◽  
Author(s):  
Andreas Beckert ◽  
Lea Eisenstein ◽  
Tim Hewson ◽  
George C. Craig ◽  
Marc Rautenhaus
Keyword(s):  
High Resolution ◽  
Numerical Weather Prediction ◽  
Feature Detection ◽  
3D Visualization ◽  
Weather Prediction ◽  
Three Dimensional ◽  
Detection Methods ◽  
Numerical Weather ◽  
Atmospheric Fronts ◽  
Front Detection

<p><span>Atmospheric fronts, a widely used conceptual model in meteorology, describe sharp boundaries between two air masses of different thermal properties. In the mid-latitudes, these sharp boundaries are commonly associated with extratropical cyclones. The passage of a frontal system is accompanied by significant weather changes, and therefore fronts are of particular interest in weather forecasting. Over the past decades, several two-dimensional, horizontal feature detection methods to objectively identify atmospheric fronts in numerical weather prediction (NWP) data were proposed in the literature (e.g. Hewson, Met.Apps. 1998). In addition, recent research (Kern et al., IEEE Trans. Visual. Comput. Graphics, 2019) has shown the feasibility of detecting atmospheric fronts as three-dimensional surfaces representing the full 3D frontal structure. In our work, we build on the studies by Hewson (1998) and Kern et al. (2019) to make front detection usable for forecasting purposes in an interactive 3D visualization environment. We consider the following aspects: (a) As NWP models evolved in recent years to resolve atmospheric processes on scales far smaller than the scale of midlatitude-cyclone- fronts, we evaluate whether previously developed detection methods are still capable to detect fronts in current high-resolution NWP data. (b) We present integration of our implementation into the open-source “Met.3D” software (http://met3d.wavestoweather.de) and analyze two- and three-dimensional frontal structures in selected cases of European winter storms, comparing different models and model resolution. (c) The considered front detection methods rely on threshold parameters, which mostly refer to the magnitude of the thermal gradient within the adjacent frontal zone - the frontal strength. If the frontal strength exceeds the threshold, a so-called feature candidate is classified as a front, while others are discarded. If a single, fixed, threshold is used, unwanted “holes” can be observed in the detected fronts. Hence, we use transparency mapping with fuzzy thresholds to generate continuous frontal features. We pay particular attention to the adjustment of filter thresholds and evaluate the dependence of thresholds and resolution of the underlying data.</span></p>

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