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  • 1. Barthelmie, R
    et al.
    Larsen, G
    Pryor, S
    Jorgensen, H
    Bergstrom, H
    Schlez, W
    Rados, K
    Lange, B
    Volund, P
    Neckelmann, S
    Mogensen, S
    Schepers, G
    Hegberg, T
    Folkerts, L
    Magnusson, Mikael
    SMHI, Core Services.
    ENDOW (Efficient development of offshore wind farms): Modelling wake and boundary layer interactions2004In: Wind Energy, ISSN 1095-4244, E-ISSN 1099-1824, Vol. 7, no 3, p. 225-245Article in journal (Refereed)
    Abstract [en]

    While experience gained through the offshore wind energy projects currently operating is valuable, a major uncertainty in estimating power production lies in the prediction of the dynamic links between the atmosphere and wind turbines in offshore regimes. The objective of the ENDOW project was to evaluate, enhance and interface wake and boundary layer models for utilization offshore. The project resulted in a significant advance in the state of the art in both wake and marine boundary layer models, leading to improved prediction of wind speed and turbulence profiles within large offshore wind farms. Use of new databases from existing offshore wind farms and detailed wake profiles collected using sodar provided a unique opportunity to undertake the first comprehensive evaluation of wake models in the offshore environment. The results of wake model performance in different wind speed, stability and roughness conditions relative to observations provided criteria for their improvement. Mesoscale model simulations were used to evaluate the impact of thermal flows, roughness and topography on offshore wind speeds. The model hierarchy developed under ENDOW forms the basis of design tools for use by wind energy developers and turbine manufacturers to optimize power output from offshore wind farms through minimized wake effects and optimal grid connections. The design tools are being built onto existing regional-scale models and wind farm design software which was developed with EU funding and is in use currently by wind energy developers. Copyright (C) 2004 John Wiley Sons, Ltd.

  • 2.
    Persson, Christer
    et al.
    SMHI, Research Department, Air quality.
    Magnusson, Mikael
    SMHI, Core Services.
    Kvaliteten i uppmätta nederbördsmängder inom svenska nederbördskemiska stationsnät2003Report (Other academic)
    Abstract [en]

    High quality measurements of precipitation amounts in precipitation chemistry networks are of large importance in order to obtain correct information concerning concentrations in precipitation as well as wet deposition of air pollutants. In this study the quality of measured precipitation amounts at each of three different Swedish precipitation chemistry networks has been investigated. For shorter periods during 1998-2001 quality deficiencies were found at two Swedish EMEP stations. The reason to that seems to be technical problems with the lid samplers used at that network. For the Swedish air and precipitation chemistry network (PMK) and the regional network (REG) deficiencies in precipitation measurements were found for the winter seasons. Very large scatter in precipitation amounts was obtained when comparisons were made with objective interpolated precipitation fields based on all SMHI observations. The reason to this disagreement is assumed to be the use of “snowsacks” on the samplers during the winter half-year regardless of weather condition. These “snow-sacks” are assumed to influence the aerodynamic conditions around the samplers and thus also influence the efficiency in sampling raindrops and snowflakes.

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