Solarenergie
Windenergie

2018

• Lohmann, G.M., 2018. Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review. Atmosphere 9, 264. doi.org/10.3390/atmos9070264

• Lohmann, G. M. and Monahan, A.H. "Effects of temporal averaging on short-term irradiance variability under mixed sky conditions". Atmospheric Measurement Techniques 11, 3131–3144., 2018, doi.org/10.5194/amt-11-3131-2018

2017

• Lohmann, G.M., Hammer, A., Monahan, A.H., Schmidt, T., Heinemann, D., 2017. Simulating clear-sky index increment correlations under mixed sky conditions using a fractal cloud model. Solar Energy 150, 255–264. doi:10.1016/j.solener.2017.04.048

• Madanchi, A., Absalan, M., Lohmann, G., Anvari, M., Reza Rahimi Tabar, M., 2017. Strong short-term non-linearity of solar irradiance fluctuations. Solar Energy 144, 1–9. doi:10.1016/j.solener.2017.01.008

2016

• Wolff, B., J. Kühnert, E. Lorenz, O. Kramer, D. Heinemann: "Comparing support vector regression for PV power forecasting to a physical modeling approach using measurement, numerical weather prediction, and cloud motion data", Solar Energy, Volume 135, October 2016, Pages 197-208, ISSN 0038-092X, doi:10.1016/j.solener.2016.05.051.

• M. Anvari, G. Lohmann, M. Wächter, P. Milan, E. Lorenz, D. Heinemann, M. R. R. Tabar, and J. Peinke: „Short term fluctuations of wind and solar power systems”, New Journal of Physics, vol. 18, no. 6, p. 63027, Jun 2016, doi:10.1088/1367-2630/18/6/063027.

2015

• Hammer, Annette, Jan Kühnert, Kailash Weinreich, und Elke Lorenz. „Short-Term Forecasting of Surface Solar Irradiance Based on Meteosat-SEVIRI Data Using a Nighttime Cloud Index.“ Remote Sensing 7, Nr. 7 (2015): 9070. doi:10.3390/rs70709070.

• Madhavan B.L., Kalisch, J., Macke, A., 2015: "Shortwave surface radiation budget network for observing small-scale cloud inhomogeneity fields", Atmos. Meas. Tech. Discuss., 8, 2555-2589, doi:10.5194/amtd-8-2555-2015, Link

2014

• Wirth, G., Lorenz, E., Spring, A., Becker, G., Pardatscher, R. and Witzmann, R. (2014): Modeling the maximum power output of a distributed PV fleet. Prog. Photovolt: Res. Appl.. doi: 10.1002/pip.2513, Link

• Tabar, M.R.R., Anvari, M., Lohmann, G., Heinemann, D., Wächter, M., Milan, P., Lorenz, E., Peinke, J., 2014. Kolmogorov spectrum of renewable wind and solar power fluctuations. The European Physical Journal Special Topics, 223(9), 1–8. doi:10.1140/epjst/e2014-02217-8, Link

• Bumke, K., Schlundt, M., Kalisch, J., Macke, A., Kleta, H., 2014: "Measured and Parameterized Energy Fluxes Estimated for Atlantic Transects of R/V Polarstern", J. Phys. Oceanogr., 44, 482–491, doi: https://doi.org/10.1175/JPO-D-13-0152.1

2013

• Ener Rusen, S., Hammer, A., Akinoglu, B.G., 2013: 'Coupling satellite images with surface measurements of bright sunshine hours to estimate daily solar irradiation on horizontal surface', Renewable Energy, Volume 55, 221-219 DOI:10.1016/j.renene.2012.12.019, Link to Abstract

• Ener Rusen, S., Hammer, A., Akinoglu, B.G., 2013: "Estimation of daily global solar irradiation by coupling ground measurements of bright sunshine hours to satellite imagery.", Energy, 58, 417-425

• Kanitz, T., Ansmann, A., Seifert, P., Engelmann, R., Kalisch, J., Althausen, D., 2013: "Radiative effect of aerosols above the northern and southern Atlantic Ocean as determined from shipborne lidar observations", J. Geophys. Res. Atmos., 118, 12556-12565, doi:10.1002/2013JD019750

• Perez, R., Lorenz, E., Pelland, S., Beauharnois, M., van Knowe, G., Hemker Jr., K., Heinemann,  D., Remund, J., Müller, S.C., Traunmüller, W., Steinmauer, G., Pozo, D., Ruiz-Arias, J., Lara-Fanego, V., Ramirez-Satigosa, L., Gaston-Romero, M., Pomares, L.M.: 2013, 'Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe', Solar Energy, Volume 94, 305-326 DOI:10.1016/j.solener.2013.05.005, Link to Abstract

• Behrendt, T., Kühnert, J., Hammer, A., Lorenz, E., Betcke, J., Heinemann, D., 2013: 'Solar spectral irradiance derived from satellite data: A tool to improve thin film PV performance estimations?', Solar Energy, Volume 98, Part B, 100-110 DOI:10.1016/j.solener.2013.05.011, Link to Abstract

2012

• Mueller, R., Behrendt, T., Hammer, A., Kemper, A.: 2012. 'A New Algorithm for the Satellite-Based Retrieval of Solar Surface Irradiance in Spectral Bands' , REMOTE SENSING,  Volume 4, Issue: 3, 622-647 DOI: 10.3390/rs4030622, Link to Abstract

• Kalisch, J., Macke, A., 2012: "Radiative budget and cloud radiative effect over the Atlantic from ship-based observations", Atmos. Meas. Tech. , 5, 2391-2401, doi:10.5194/amt-5-2391-2012

2011

• Lorenz, E., Heinemann, D. and Kurz, C., 2011. 'Local and regional Photovoltaic power prediction for large scale grid integration: assessment of a new algorithm for snow detection', Progress in Photovoltaics: Research and Applications, 20, 6, 760–769, DOI: 10.1002/pip.1224 (2012), Link to Abstract
  

2010

• Lorenz, E., Scheidsteger, T., Hurka, J., Heinemann, D. and Kurz, C., 2010. 'Regional PV power prediction for improved grid integration', Progress in Photovoltaics: Research and Applications, 19, 7, 757-771. DOI: 10.1002/pip.1033 (2011), Link to Abstract

• Macke, A., Kalisch, J., Hollmann, R., 2010: „Validation of downward surface radiation derived from MSG data by in-situ observations over the Atlantic ocean”, Meteor. Z. 19(2), 155 -167

2009

• Lorenz, E; Hurka, J; Heinemann, D, Beyer H.G., 2009. 'Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems', IEEE Journal of Selected Topics in Earth Observations and Remote Sensing, 2, 2–10 (2009), ISSN 1939-1404, Link to Abstract
  

• van Sark, W.G.J.H.M., de Keizer, A.C., Drews, A., Lorenz, E., Betcke, J., Heinemann, D., Wiemken, E., Heydenreich, W., Beyer, H.G., Prignitz, O., Stettler, S., Toggweiler, P., Schneider, M., Bofinger, S., Heilscher, G., 2009. 'Automated performance control for grid-connected photovoltaic systems employing satellite data', Energy and Buildings, in press (2009)
  

2008

• Espinar, B., Ramirez, L., Drews, A., Beyer, H.G., Zarzalejo, L.F., Polo, J., Martin, L.:, 2008. 'Analysis of different error parameters applied to solar irradiation data from satellite and german radiometric stations', Solar Energy, 83, 118-125, DOI: 10.1016/j.solener.2008.07.009, Link to Abstract

• Drews, A., Beyer, H.G., Rindelhardt, U., 2008. 'Quality of performance assessment of PV plants based on irradiance maps', Solar Energy, 82, 1067-1075, doi:10.1016/j.solener.2008.04.009, Link to Abstract

• Drews, A., Lorenz, E., Hammer, A., Heinemann, D., 2008. 'Long-term accuracy assessment of satellite-derived global irradiance time series with respect to solar energy applications', Theoretical and Applied Climatology (in review)

• Schroedter-Homscheidt, M., Drews, A., Heise, S., 2008. 'Total water vapour column retrieval from MSG-SEVIRI split window measurements exploiting the daily cycle of land surface temperatures', Remote Sensing of Environment, 112, 249-258, Download PDF file

• Kalisch, J., Macke, A., 2008: „Estimation of the total cloud cover with high temporal resolution and parametrization of short-term fluctuations of sea surface insolation”, Meteor. Z. 17(5), 603 -611

2007

• Heinemann, D., Hoyer-Klick, C., 2007. 'Vorwort Energiemeteorologie', S. 4-5, in: Heinemann, D., Hoyer-Klick, C., Stadermann, G.[Hrsg.]: Energiemeteorologie, Berlin, ISSN 0949-1082, Download PDF file

• Drews, A., de Keizer, C., Lorenz, E., van Sark, W.G.J.H.M., Beyer, H.G., Wiemken, E., Heydenreich, W., Stettler, S., Toggweiler, P., Betcke, J., Bofinger, S., Heilscher, G., Schneider, M., Heinemann, D., 2007. 'Monitoring and remote failure detection of grid-connected PV systems based on satellite observations', Solar Energy, 81, 548-564, Download PDF file
  

2006

• Girodo, M., Müller, R.W., Heinemann, D., 2006. 'Influence of 3D cloud effects on satellite derived solar irradiance estimation', Solar Energy, 80, 1145-1159, Download PDF file
  

2004

• Müller, R.W., Dagestad, K.F., Ineichen, P., Schroedter, M., Cros, S., Dumortier, D., Kuhlemann, R., Olseth, J.A., Piernavieja, C., Reise, C., Wald, L., Heinemann, D., 2004. 'Rethinking satellite based solar irradiance modelling - The SOLIS clear-sky module', Remote Sensing of the Environment, 91, 160-174, DOI: 10.1016/j.rse.2004.02.009, Link to Abstract
  

2003

• Hammer, A., Heinemann, D., Hoyer, C., Kuhlemann, R., Lorenz, E., Müller, R.W., Beyer, H.G., 2003. 'Solar Energy Assessment Using Remote Sensing Technologies', Remote Sensing of Environment, 86, 423-432, DOI: 10.1016/S0034-4257(03)00083-X, Link to Abstract
  

1999

• Beyer, H.G., Heinemann, D., Singh, R., 1999. 'Cosine, Air Mass and Clearness Index Fits for PV Matrix 1G Sensor', Journal of the Solar Enegy Society of India, 41-52

• Hammer, A., Heinemann, D., Lorenz, E., Lückehe, B., 1999. 'Short-Term Forecasting of Solar Radiation: A Statistical Approach using Satellite Data', Solar Energy, 67, 139-150, DOI: 10.1016/S0038-092X(00)00038-4, Link to Abstract
  

1998

• Beyer, H.G., Hammer, A., Heinemann, D., 1998. 'Satellite Derived Irradiance Statistics for Africa', Solar Energy, 59, 233-240, DOI: 10.1016/S0038-092X(96)00166-1, Link to Abstract
  

1996

• Beyer, H.G., Costanzo, C., Heinemann, D., 1996. 'Modifications of the Heliosat Procedure for Irradiance Estimates from Satellite Images', Solar Energy, 56, 207-212, DOI: 10.1016/0038-092X(95)00092-6, Link to Abstract

1994

• Beyer, H. G., Hammer, A., Luther, J., Poplawska, J., Stolzenburg, K. und Wieting, P.: 1994, 'Analysis and synthesis of cloud pattern for radiation field studies', Solar Energy, 52, 379-390, Link to Abstract

1987

• Schmitz-Pfeiffer, A., Heinemann, D., Hasse, L.,1987. 'The Ageostrophic Method - An Update', Boundary-Layer Meteorology, 39, 269-281, DOI: 10.1007/BF00116122, Link to Abstract

2019

• Schneemann, J., Rott, A., Dörenkämper, M., Steinfeld, G., and Kühn, M.: Cluster wakes impact on a far distant offshore wind farm's power, Wind Energ. Sci. Discuss., doi.org/10.5194/wes-2019-39, in review.

• Sommerfeld, M., Dörenkämper, M., Steinfeld, G., and Crawford, C.: Improving mesoscale wind speed forecasts using lidar-based observation nudging for airborne wind energy systems, Wind Energ. Sci., 4, 563–580, doi.org/10.5194/wes-4-563-2019, 2019.

• Vali, M.; Petrovic, V.; Steinfeld, G.; Pao, L. Y.; Kühn, M.: An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer, Wind Energ. Sci., 4, pp. 139-161, doi.org/10.5194/wes-4-139-2019.

• Akbarzadeh, S.; Kassem, H.; Buhr, R.; Steinfeld, G.; Stoevesandt, B.: Adjoint-based Calibration of Inlet Boundary Condition for Atmospheric CFD Solvers, Wind Energ. Sci. Discuss., doi.org/10.5194/wes-2019-6, in review.

• Wurps, H.; Steinfeld, G; Heinz, S.: Grid-Size Requirements for Large-Eddy Simulations of the Atmospheric Boundary Layer, Bound. Layer-Meteorol., in revision.

• Wagner, D.; Steinfeld, G.; Witha, B.; Wurps, H.; Reuder, J.: Low Level Jets over the Southern North Sea, Met. Z., DOI: 10.1127/metz/2019/0948.

2018

• Bastine, D.; Larsén, X. G.; Witha, B.; Dörenkämper, M.; Gottschall, J.: Extreme Winds in the New European Wind Atlas, J. Phys. Conf. Ser. 1102:012006, doi:10.1088/1742-6596/1102/1/012006.

• Bastine, D.; Vollmer, L.; Wächter, M.; Peinke, J.: Stochastic Wake Modelling Based on POD Analysis, Energies, 11(3), 612, doi:10.3390/en11030612.

• Bromm, M.; Rott, A.; Beck, H.; Vollmer; L.; Steinfeld, G.; Kühn, M.: Field Investigation on the Influence of Yaw Misalignment on the Propagation of Wind Turbine Wakes, Wind Energy, 2, pp. 1–18, doi.org/10.1002/we.2210.

• Gottschall, J.; Catalano, E.; Dörenkämper, M.; Witha, B.: The NEWA Ferry Lidar Experiment: Measuring Mesoscale Winds in the Southern Baltic Sea, Remote Sensing, 10, 1620, doi:10.3390/rs10101620.

• Ivanell, S.; Arnqvist, J.; Avila, M.; Cavar, D.; Chávez Arroyo, R. A. A.; Olivares-Espinosa, H.; Peralta, C.; Adib, J.; Witha, B.: Microscale Model Comparison (Benchmark) at the Moderate Complex Forested Site Ryningsnäs, Wind Energy Science, 3(2), pp. 929-946, doi:10.5194/wes-2018-20.

• Vali, M.; Petrovic, V.; Steinfeld, G.; Pao, L. Y.; Kühn, M.: Large-Eddy Simulation Study of Wind Farm Active Power Control with a Coordinated Load Distribution, J. Phys.: Conf. Ser. 1037:032018, doi:10.1088/1742-6596/1037/3/032018.

• Valldecabres, L.; Nygaard, N. G.; Vera-Tudela, L.; von Bremen, L.; Kühn, M.: On the Use of Dual-Doppler Radar Measurements for Very Short-term Wind Power Forecasts, Remote Sensing, 10(11), 1701, doi:10.3390/rs10111701.

• Valldecabres, L.; Pena, A.; Courtney, M.; von Bremen, L.; Kühn, M.: Very short-term forecast of near-coastal flow using scanning lidars, Wind Energ. Sci., 3(1), pp. 313-327, doi:10.5194/wes-3-313-2018.

2017

• Bromm, M.; Vollmer, L.; Kühn, M.: Numerical investigation of wind turbine wake development in directionally sheared inflow, Wind Energy, 20(3), pp. 381-395, doi.org/10.1002/we.2010.

• Chattopadhyay, K.; Kies, A.; Lorenz, E.; von Bremen, L.; Heinemann, D.: The impact of different PV module configurations on storage and additional balancing needs for a fully renewable European power system, Renewable Energy, 113, pp. 176-189, doi:10.1016/j.renene.2017.05.069.

• Mehrens, A. R.; von Bremen, L.: Comparison of methods for the identification of mesoscale wind speed fluctuations, Meteorol. Z., 26(3), pp. 333-342, doi:10.1127/metz/2017/0826.

• Mittelmeier, N.; Allin, J.; Blodau, T.; Trabucchi, D.; Steinfeld, G.; Rott, A.; Kühn, M.: An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects, Wind Energ. Sci., 2, pp. 477-490, doi.org/10.5194/wes-2-477-2017.

• Vollmer, L.; Steinfeld, G.; Kühn, M.: Transient LES of an Offshore Wind Turbine, Wind Energy Science, 2, pp. 604-614, doi:10.5194/wes-2-603-2017.

• Vollmer, L.; Lee, J. C.-Y.; Steinfeld, G.; Lundquist, J. K.: A wind turbine wake in changing atmospheric conditions: LES and lidar measurements, J. Phys.: Conf. Ser., 854, 012050, doi :10.1088/1742-6596/854/1/012050.

• Trabucchi, D.; Vollmer, L.; Kühn, M.: 3-D shear model for the simulation of multiple wind turbine wakes: description and first assessment, Wind Energy Science, 2(2), pp. 569-586.

2016

• Kies, A.; Schyska, B.U.; von Bremen, L.:The Demand Side Management Potential to Balance a Highly Renewable European Power System, Energies, 9(11), 955, doi:10.3390/en9110955.

• Kies, A.; Schyska, B.U.; von Bremen, L.: The optimal share of wave power in a highly renewable power system on the Iberian Peninsula, Energy reports, 2, pp. 221-228, doi.org/10.1016/j.egyr.2016.09.002

• Kies, A.; Schyska, B.U.; von Bremen, L.: The Effect of Hydro Power on the Optimal Distribution of Wind and Solar Generation Facilities in a Simplified Highly Renewable European Power System, Energy Procedia, 97, pp. 149-155

• Kies, A.; Schyska, B.U.; von Bremen, L.: Curtailment in a Highly Renewable Power System and Its Effect on Capacity Factors Energies, 9(7), 510, doi:10.3390/en9070510.

• Vollmer, L. ,Steinfeld, G. ,Heinemann, D. and Kühn, M. (2016): Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: an LES study. Wind Energy Science. vol. 1, no. 2, p. 129--141, doi:10.5194/wes-1-129-2016.

• Mehrens, A. R., Hahmann, A. N., Larsén, X. G. and von Bremen, L. (2016): Correlation and coherence of mesoscale wind speeds over the sea. Q.J.R. Meteorol. Soc., doi:10.1002/qj.2900.

• M. Anvari, G. Lohmann, M. Wächter, P. Milan, E. Lorenz, D. Heinemann, M. R. R. Tabar, and J. Peinke (2016): Short term fluctuations of wind and solar power systems, New Journal of Physics, vol. 18, no. 6, p. 63027, doi:10.1088/1367-2630/18/6/063027.

• Lampert, A., Pätzold, F., Jiménez, M. A., Lobitz, L., Martin, S., Lohmann, G., Canut, G., Legain, D., Bange, J. and Cuxart, J. (2016): A study of local turbulence and anisotropy during the afternoon and evening transition with an unmanned aerial system and mesoscale simulation. Atmospheric Chemistry and Physics, 16(12), 8009–8021. doi.org/10.5194/acp-16-8009-2016

• Mehrens, A.R., von Bremen, L. (2016): On the correlation of spatial wind speed and solar irradiance variability above the North Sea, Advances in Science and Research, 13, 57-61, doi:10.5194/asr-13-57-201

• Trabucchi, D.; Vollmer, L.; Kühn, M.: Shear layer approximation of Navier-Stokes steady equations for non-axisymmetric wind turbine wakes: description, verification and first application, Journal of Physics: Conference Series, 753, 032030, doi: 10.1088/1742-6596/753/3/032030.

2015

• Andersen, S. J., Witha, B., Breton, S.-P., Sørensen, J. N., Mikkelsen, R. F., Ivanell, S. (2015): Quantifying variability of Large Eddy Simulations o f very large wind farms, J. Phys.: Conf. Ser., 625, 012027, doi: 10.1088/1742-6596/625/1/012027

• Bastine, D., Witha, B., Wächter, M., Peinke, J. (2015): Towards a Simplified Dynamic Wake Model using POD Analysis, Energies, 8, 895-920, doi:10.3390 /en8020895

• von Bremen, L. and Wessel, A. (2015): , Short-term wind power forecasting, promet, in press

• Dörenkämper, M., Optis, M., Monahan, A. and Steinfeld, G. (2015): On the offshore advection of boundary-layer structures and the influence on offshor e wind conditions, Boundary-Layer Meteorol., 155, 459-482, doi:10.1007/s10546-015-0008-x

• Dörenkämper, M., Witha, B., Steinfeld, G., Heinemann, D., Kühn, M. (2015): The impact of stable atmospheric boundary layers on wind-turbine wakes wit hin offshore wind farms, J. Wind Eng. Ind. Aerodyn., 144, 146-153, doi:10.1016/j.jweia.2014.12.011

• Junk, C., Delle Monache, L., Allessandrini, S., Cervone, G., von Bremen, L.: (2015) Predictor-weighting strategies for probabilistic wind power forec asting with an analog ensemble, Meteorol. Z., under revision

• Junk, C., Späth, S., von Bremen, L. (2015): Combination and comparison of regional and global ensemble prediction systems for probabilistic predictio ns of hub-height wind speed, Weather and Forecasting, under review

• F.J. Santos-Alamillos, D. Pozo-Vázquez, J.A. Ruiz-Arias, L. Von Bremen, J. Tovar-Pescador. (2015) Combining wind farms with concentrating solar plant s to provide stable renewable power. Renewable Energy, 76, 539-550

• Späth, S., von Bremen, L., Junk, C., Heinemann, D. (2015): Time-consistent calibration of short-term regional wind power ensemble forecasts, Meteorol . Z., published online, doi: 10.1127/metz/2015/0664

• Steinfeld, G., Witha, B., Dörenkämper, M., Gryschka, M. (2015): Hochauflösende Large-Eddy-Simulationen zur Untersuchung der Strömungsverhältnisse in Offshore-Windparks / High-resolution large-eddy simulations for the analysis of flow conditions in offshore wind farms, promet, in press

• Vollmer, L., van Dooren, M., Trabucchi, D., Schneemann, J., Steinfeld, G., Witha, B., Trujillo, J., Kühn, M. (2015): First comparison of LES of an of fshore wind turbine wake with dual-Doppler lidar measurements in a German offshore wind farm, J. Phys.: Conf. Ser., 625, 012001, doi: 10.1088/1742-6596/625/1 /012001

2014

• Bastine, D., Witha, B., Wächter, M., Peinke, J. (2014): POD Analysis of a Wind Turbine Wake in a Turbulent Atmospheric Boundary Layer, J. Phys.: Conf . Ser., 524, 012153, doi:10.1088/1742-6596/524/1/012153

• Dörenkämper, M., Tambke, J., Steinfeld, G., Heinemann, D., Kühn, M. (2014): Atmospheric Impacts on Power Curves of Multi-Megawatt Offshore Wind Turbi nes, J. Phys.: Conf. Ser., 555, 012029

• Dörenkämper, M. et al.: On the impact of sea fetch, roughness lengths and atmospheric stability on offshore winds, in Proc. of Grand Renewable Energy 2014

• Dörenkämper, M., Witha, B., Steinfeld, G., Heinemann, D., Kühn, M. (2014): The role of stable atmospheric boundary layers on wind turbine wakes withi n offshore wind farms, Extended Abstracts of the 6th International Symposium on Computational Wind Engineering, Hamburg, Germany, 8th - 12th June 2014

• Drüke, S., Dörenkämper, M., Steinfeld, G. (2014): Comparison between model results and measurements to determine the quality of the models, Extended Abstracts of the 6th International Symposium on Computational Wind Engineering, Hamburg, Germany, 8th - 12th June 2014

• Junk, C., von Bremen, L., Kühn, M., Späth, S., Heinemann, D. 2014: Comparison of Postprocessing Methods for the Calibration of 100-m Wind Ensemble Fo recasts at Off- and Onshore Sites, J. Appl. Meteor. Climatol., 53, 950–969

• Sanz Rodrigo, J., Gancarski, P., Chavez Arroyo, R., Moriarty, P., Chuchfield, M., Naughton, J., Hansen, K., Machefaux, E., Koblitz, T., Maguire, E., Castellani, F., Terzi, L., Breton, S., Ueda, Y., Prospathopoulos, J., Oxley, G., Peralta, C., Zhang, X., Witha, B. (2014): IEA-Task 31 WAKEBENCH: Towards a p rotocol for wind farm flow model evaluation. Part 1: Flow-over-terrain models, J. Phys.: Conf. Ser., 524, 012105, doi:10.1088/1742-6596/524/1/01210

• Shimada, S., Ohsawa, T., Kogaki, T., Steinfeld, G. and Heinemann, D. (2014): Effects of sea surface temperature accuracy on offshore wind resource as sessment using a mesoscale model, Wind Energy, doi:10.1002/we.1796

• Steinfeld, G. et al.: Analysis of wind turbine wakes and wind farm flows with the large-eddy simulation model PALM, in Proc. of Grand Renewable Energ y 2014

• Tabar, M.R.R., Anvari, M., Lohmann, G., Heinemann, D., Wächter, M., Milan, P., Lorenz, E., Peinke, J., 2014. Kolmogorov spectrum of renewable wind and solar power fluctuations. The European Physical Journal Special Topics, 223(9), 1–8. doi:10.1140/epjst/e2014-02217-8, Link

• Witha, B., Steinfeld, G., Dörenkämper, M., Heinemann, D. (2014): Large-eddy simulation of multiple wakes in offshore wind farms, J. Phys.: Conf. Ser. , 555, 012108, doi:10.1088/1742-6596/555/1/012108

• Witha, B., Steinfeld, G., Heinemann, D. (2014): High-resolution offshore wake simulations with the LES model PALM, in: Wind Energy - Impact of Turbul ence, Research Topics in Wind Energy 2, pp. 175-181, Springer Berlin Heidelberg, doi: 10.1007/978-3-642-54696-9_26

• Witha, B., Steinfeld, G., Heinemann, D. (2014): Advanced turbine parameterizations in offshore LES wake simulations, Extended Abstracts of the 6th In ternational Symposium on Computational Wind Engineering, Hamburg, Germany, 8th - 12th June 2014

2013

• Brand, A., Bot, E., Özdemir, H., Steinfeld, G., Drüke, S., Schmidt, M., Mittelmeier, N.: Accurate wind farm development and operation – Advanced wake modelling, in Proc. of the EWEA Offshore 2013

• Kühn, M., Steinfeld, G., Cheng, P.-W., Schaumann, P., Neumann, T. (Ed.): Abschlussbericht des RAVE Projekts „Verifikation von Offshore-Windenergieanl agen“ (OWEA), 338 pp.

• Mittelmeier, N., Amelsberg, S., Blodau, T., Brand, A., Drüke, S., Kühn, M., Neumann, K., Steinfeld, G.: Wind farm performance monitoring with advance d wake models, in Proc. of the EWEA Offshore 2013

• Ohsawa, T., Shimada, S., Heinemann, D., Steinfeld, G., Schmidt, M., von Bremen, L., Tambke, J. (2013): Offshore wind resource maps in German coastal waters based on WRF simulation, in Proc. of the EWEA Offshore 2013

• Turker, B., Arroyo Klein, S., Komsiyska, L., Trujillo, J. J., von Bremen, L., Kühn, M., Busse, M. (2013): Utilizing a vanadium redox flow battery to avoid wind power deviation penalties in an electricity market, Energy Conversion and Management, 76, 1150–1157

2012

• Steinfeld, G., Witha, B., Ambroise, H., Dörenkämper, M. and Heinemann, D.: Analysis of Thermal Effects on the Wind Farm Flow by the Means of Large-Ed dy simulation, in Proc. of the DEWEK 2012

• Stoffels, N., von Bremen, L., Heinemann, D.: A Metric to Define Favourable Places for Wind Farms in Terms of Wind Power Grid Integration, in Proc. of the EWEA Annual Event 2012

• Stoffels, N., von Bremen, L., Heinemann, D.: Error Smoothing and Decorrelation: Favourable German Sites for Large-Scale Wind Power Deployment, in Pro c. of the DEWEK 2012

• Stütz, E., Steinfeld, G., Heinemane, D.: Mesoscale Simulation Study of Large Offshore Wind Farms, in Proc. of the DEWEK 2012

2011

• von Bremen, L., Lange, M. (2011): On the use of ensemble wind power forecasts for the energy sector, Promet, 37, 3/4, pp. 62-71

• Siebicke, L., Steinfeld, G. and Foken, T. (2011): CO2-gradient measurements using a parallel multi-analyzer setup, Atmos. Meas. Tech., 4, 409-423

• Steinfeld, G. (2011): Deutschland geht offshore, in Forschung im HLRN-Verbund 2011, Konrad-Zuse-Zentrum für Informationstechnik und Regionales Rechen zentrum für Niedersachsen, Berlin, Hannover, 224 pages

2010

• von Bremen, L., Busch-Saleck, N., Heinemann, D. (2010): Estimate severe offshore Wind Power Fluctuations for better Grid Integration, in Proc. of the 10th Biennial German Wind Energy Conference (DEWEK), Bremen, Germany, November 17th-18th 2010

• von Bremen, L., Busch-Saleck, N. (2010): Minimizing the risk in offshore wind power integration induced by severe wind power fluctuations, in Proc. o f the Conference “The Science of Making Torque from Wind”, June 28th-30th 2010, Heraklion, Crete, Greece

• von Bremen, L., Tambke, J., De Decker, J., Rohrig, K. (2010): Supergrid and Storage Boost Solar and Wind, Windtech International July/August 2010, pp . 6 ff.

• Petroliagis, T. I., Jacques-Coper, M., Denhard, M., Hagedorn, R., Heinemann, D. (2010): ECMWF short- to medium-range forecast guidance in cases of wi nd extreme events utilizing IFS deterministic and EPS probabilistic model level gust factor components, in Proc. of the Conference “The Science of Making Tor que from Wind”, June 28th-30th 2010, Heraklion, Crete, Greece

• Petroliagis, T. I., Denhard, M., Tambke, J., Hagedorn, R., Heinemann, D. (2010): How well can we forecast winds at different heights? An assessment o f ECMWF IFS & EPS skill of forecasting wind fields at different model levels, in Proc. of European Wind Energy Conference (EWEC), April 20th-23rd 2010, Warsa w, Poland

• Steinfeld, G., Tambke, J., Peinke, J. and Heinemann, D. (2010): Application of a large-eddy simulation model to the analysis of flow conditions in of fshore wind farms, in in Proc. of the 10th Biennial German Wind Energy Conference (DEWEK), Bremen, Germany, November 17th-18th 2010

• Steinfeld, G., Tambke, J., Peinke, J. and Heinemann, D. (2010): Development of a tool for the study of flow conditions and turbulent loads in offshor e wind farms, in Proc. of European Wind Energy Conference (EWEC), April 20th-23rd 2010, Warsaw, Poland

• Steinfeld, G., Tambke, J., Peinke, J. and Heinemann, D. (2010): Development of a large-eddy simulation model for the analysis of flow conditions in o ffshore wind farms, in Proc. of the Conference “The Science of Making Torque from Wind”, June 28th-30th 2010, Heraklion, Crete, Greece

• Tambke, J., von Bremen, L., Schmidt, M., De Decker, J., Steinfeld, G., Wolff, J.-O. (2010): European Electricity Grids for Wind Integration in 2030 a nd 2050, in Proc. of the 10th Biennial German Wind Energy Conference (DEWEK), Bremen, Germany, November 17th-18th 2010

• Sušelj, K., Sood, A. and Heinemann, D., 2010. 'North Sea near-surface wind climate and its relation to the large-scale circulation patterns', Theoretical and Applied Climatology, 99, 403–419, DOI: 10.1007/s00704-009-0149-2, Download PDF file

2008

• Gottschall, J., Peinke J., 2008. 'How to improve the estimation of power curves for wind turbines', Environmental Research Letters 3, DOI: 10.1088/1748-9326/3/1/015005, Download PDF file

• Suselj, K., Sood, A. and D.Heinemann, D., 2008. 'Influence of the Large Scale Circulation on the North Sea Wind Climate'. Journal of Climate, 1-45, ISSN 1901-9181, Download PDF file

• Suselj, K., Sood, A. and Heinemann, D., 2008. 'North Sea near surface wind climate and its relation to the large scale circulation patterns'. Theoretical and Applied Climatology, 99, 403-419, DOI: 10.1007/s00704-009-0149-2, Download PDF file

2007

• Jimenez, B., Durante, F., Lange, B., Kreutzer, T., Tambke, J., 2007. 'Offshore Wind Resource Assessment with WAsP and MM5: Comparative Study for the German Bight', Wind Energy, 10, 121-134, DOI: 10.1002/we.212, Download PDF file

• Anahua, E., Barth, St., Peinke, J., 2007. 'Markovian Power Curves for Wind Turbines', Wind Energy, 11, 219-232, DOI: 10.1002/we.243, Link to Abstract

• Böttcher, F., Barth, St., Peinke, J.: 2007, 'Small and Large Scale Fluctuations in Atmospheric Wind Speeds', Stochastic Environmental Research and Risk Assessment (SERRA), 21, 299-308, doi:10.1007/s00477-006-0065-2, Link to Abstract

• Sempreviva, A.M., Barthelmie, R., Giebel, G., Lange, B., Sood, A., 2007. 'Offshore wind resource assessment in European Seas, state-of-the-art. A survey within the FP6 "POW’WOW" Coordination Action Project', Geophysical Research Abstracts, 9, 11100, SRef-ID: 1607-7962/gra/EGU2007-A-11100, Download PDF file

• Gottschall, J., Peinke, J., 2007. 'Stochastic modelling of a wind turbine's power output with special respect to turbulent Dynamics', Journal of Physics, Conference Series 75, 012045, DOI: 10.1088/1742-6596/75/1/012045, Link to Abstract

• Hölling, M., Schulte, B., Barth, St., Peinke J., 2007. 'Sphere anemometer – a faster alternative solution to cup anemometry', Journal of Physics, Conference Series 75, 012064, DOI: 10.1088/1742-6596/75/1/012064, Download PDF file

• Palmer, T.N., Buizza, R., Leutbecher, M., Hagedorn, R., Jung, T., Rodwell, M., Vitart, F., Berner, J., Hagel, E., Lawrence, A., Pappenberger, F., Park, Y-Y., von Bremen, L., Gilmour, I., 2007. 'The Ensemble Prediction System - Recent and Ongoing Developments', Tech. Memo 540 at ECMWF, Reading, U.K., Download PDF file

• Saleck, N., von Bremen, L., 2007. 'Wind power forecast error smoothing within a wind farm', Journal of Physics, Conference Series 75, 012051; Second conference of the Science of Making Torque from Wind, Tech. University of Copenhagen, Denmark, August 2007; doi:10.1088/1742-6596/75/1/012051, Download PDF file

• Suselj, K., Sood, A., Canallidas, B., Heinemann, D., 2007. 'The planetary boundary layer over the north sea: measurements and mesoscale simulations', Geophysical Research Abstracts, 9, 09675, SRefID:1607-7962/gra/EGU2007-A-09675, Vienna, Austria, Download PDF file

1. von Bremen, L., Saleck, N., Heinemann, D., 2007. 'Enhanced regional forecasting considering single wind farm distribution for upscaling', Journal of Physics, Conference Series 75, 012040; Second conference of the Science of Making Torque from Wind, Tech. University of Copenhagen, Denmark; doi:10.1088/1742-6596/75/1/012040, Download PDF file

• von Bremen, L., 2007. 'Combination of Deterministic and Probabilistic Meteorological Models to enhance Wind Farm Power Forecasts', Journal of Physics, Conference Series 75, 012050; Second conference of the Science of Making Torque from Wind, Tech. University of Copenhagen, Denmark, August; doi:10.1088/1742-6596/75/1/012050,Download PDF file

• Wolken-Möhlmann, G., Barth, St., Peinke, J., 2007. 'Dynamic stall measurements on airfoils', PAMM Proc. Appl. Math. Mech. 7, DOI 10.1002/pamm.200700864, Doanload PDF file

• Wolken-Möhlmann, G., Knebel, P., Barth, St., Peinke, J., 2007. 'Dynamic lift measurements on a FX79W151A airfoil via pressure distribution on the wind tunnel wall', Journal of Physics, Conference Series 75, 012026, DOI: 10.1088/1742-6596/75/1/012026, Download PDF file

• Suselj, K., Sood, A. and Heinemann, D.,2007. 'Influence of the large scale circulation on the North Sea wind climate', e-WINDENG, 1–45 (2007), ISSN 1901-9181, Download PDF file

2006

• Dierer, S., de Paus, T., Durante, F., Gregow, E., Lange, B., Lavagnini, A., Strack M., Tammelin, B., 2006. 'Predicting Wind Speed for Wind Energy: Progress of the WINDENG Project', Wind Engineering, 29, 393-408, ISSN 0309-524X, DOI: 10.1260/030952405775992616, Link to Abstract

• Jimenez, B., Durante, F., Lange, B., Kreutzer,T., Tambke, J., 2006. 'Offshore Wind resource assessment in the German part of the North Sea: Comparative study between MM5 and WasP', Geophysical Research Abstracts, 8, 00555, 2006 SRef-ID: 1607-7962/gra/EGU06-A-00555, Download PFD file

• Stoevesandt, B., Steigerwald, C., Shishkin, A., Wagner, C., Peinke, J., 2006. 'Analysing flow structures around a blade using spectral/hp method and HPIV', Journal of Physics, Conference Series 75, 012025 DOI:10.1088/1742-6596/75/1/012025, 4./5.10.2006, Download PDF file

2005

• Tambke, J., Lange, M., Focken, U., Wolff, J.-O., Bye, J.A.T., 2005. 'Forecasting Offshore Wind Speeds Above the North Sea', Wind Energy, 8, 3-16, DOI: 10.1002/we.140, Link to Abstract

2004

• Lange, B., Larsen, S., Højstrup, J., Barthelmie, R., 2004. 'Importance of thermal effects and sea surface roughness for offshore wind resource assessment', Journal of Wind Engineering and Industrial Aerodynamics, 92, 959-988, DOI: 10.1016/j.jweia.2004.05.005, Download PDF file

• Peinke, J., Barth, S., Böttcher, F., Heinemann D., Lange, B., 2004. 'Turbulence, a challenging problem for wind energy', Physica A, 338, 187-193, DOI: 10.1016/j.physa.2004.02.040, Download PDF file

• Lange, B., Johnson, H.K., Larsen, S., Højstrup, J., Kofoed-Hansen, H., Yelland, M.J., 2004. 'On detection of a wave age dependency for the sea surface roughness', Journal of Physical Oceanography, 34, 1441-1458, DOI:10.1175/1520-0485(2004)034<1441:ODOAWA>2.0.CO;2, Download PDF file

• Lange, B., Larsen, S., Højstrup, J., Barthelmie, R., 2004. 'The influence of thermal effects on the wind speed profile of the coastal marine boundary layer', Boundary-Layer Meteorology, 112, 587-617, DOI: 10.1023/B:BOUN.0000030652.20894.83, Download PDF file

• Barthelmie, R.J., Larsen, G., Pryor, S., Jørgensen, H., Bergström, H., Schlez, W., Rados, K., Lange, B., Vølund, P., Neckelmann, S., Mogensen, S., Schepers, G., Hegberg, T., Folkerts, L., Magnusson, M., 2004. 'ENDOW: (Efficient Development of Offshore Windfarms): Modelling Wake and Boundary Layer Interactions', Wind Energy, 7, 225-245, DOI: 10.1002/we.121, Link to Abstract

2003

• Lange, B., Johnson, H.K., Larsen, S.E., Højstrup, J., Kofoed-Hansen, H., 2003. 'The dependence of sea surface roughness on wind-waves', EGS-AGU-EUG Joint Assembly, Geophysical Research Abstract, 5 (published on CD), Download PDF file

• Lange, B., Larsen, S.E., Højstrup, J., Barthelmie, R.J., 2003. 'The wind speed profile at offshore wind farm sites', EGS-AGU-EUG Joint Assembly, Geophysical Research Abstract, 5 (published on CD), Download PDF file

• Lange, B., Larsen, S.E., Højstrup, J., Barthelmie, R. J., 2003. 'The influence of thermal effects on the wind speed profile of the coastal marine boundary layer', EGS-AGU-EUG Joint Assembly, Geophysical Research Abstract, 5 (published on CD), Download PDF file

• Lange, B., Waldl, H.-P., Barthelmie, R., Guerrero, A. G., Heinemann, D., 2003. 'Modelling of offshore wind turbine wakes with the wind farm program FLaP', Wind Energy, 6, 87-104, DOI: 10.1002/we.84, Download PDF file

2002

• Focken, U., Lange, M., Mönnich, K., Waldl, H.-P., Beyer, H.G., Luig, A., 2002. 'Short-term prediction of the aggregated power output of wind farms - A statistical analysis of the reduction of the prediction error by spatial smoothing effects', Journal of Wind Engineering and Industrial Aerodynamics, 90, 231-246, DOI: 10.1016/S0167-6105(01)00222-7, Download PDF file

2001

• Barthelmie, R.J., Larsen, G., Bergström, H., Magnusson, M., Schlez, W., Rados, K., Lange, B., Vølund, P., Neckelmann, S., Christensen, L., Schepers, G., Hegberg, T., Folkerts, L., 2001. 'ENDOW: Efficient Development of Offshore Windfarms', Wind Engineering, 25, 263-270, DOI: 10.1260/030952401760177837, Download PDF file

• Lange, B., Højstrup, J., 2001. 'Evaluation of the wind resource estimation program WAsP for offshore applications', Journal of Wind Engineering and Industrial Aerodynamics, 89, 271-291, DOI: 10.1016/S0167-6105(00)00082-9, Download PDF file

• Rados, K., Larsen, G., Barthelmie, R.J., Schlez, W., Lange, B., Schepers, G., Hegberg, T., Magnusson, M., 2001. 'Comparison of Wake Models with Data for Offshore Windfarms', Wind Engineering, 25, 271-280, DOI: 10.1260/030952401760177846, Link to Abstract

• Schepers, G., Barthelmie, R.J., Rados, K., Lange, B., Schlez, W., 2001. 'Large Off-Shore Windfarms: Linking Wake Models with Atmospheric Boundary Layer Models', Wind Engineering, 25, 307-316, DOI: 10.1260/030952401760177882, Link to Abstract

• Schlez, W., Umaña, A., Barthelmie, R.J., Larsen, G., Rados, K., Lange, B., Schepers, G., Hegberg, T., 2001. 'ENDOW: Improvement of Wake Models within Offshore Wind Farms', Wind Engineering, 25, 281-288, DOI: 10.1260/030952401760177855, Link to Abstract

1999

• Heinemann, D., Parisi, J., Waldl, H.P., Beyer, H.G., 1999. 'Energiemeteorologie', Physikalische Blätter, 55, 47-50, Download PDF file