MEWA

Objective:
MEWA is a pilot-research project funded by the Ministry of Foreign Affairs of Denmark and administered by Danida Fellowship Centre. Project partners are DTU Wind Energy (Denmark), Instituto Nacional de Electricidad y Energías Limpias (Mexico), Instituto Tecnológico y de Estudios Superiores de Monterrey (Mexico), and Centro de Investigación Científica y de Educación Superior de Ensenada (México).

MEWA has two main research-specific objectives: a) to investigate how to best couple meso- and micro-scale models for improving predictions of wind resources and b) to investigate the impact of climate variability and changes in surface characteristics and land cover on wind resources.

Expected outcome:
MEWA aims at establishing a verified methodology for the coupling of meso- and micro-scale models that provides accurate and precise estimates of wind resources over complex topographies and climatographies. Further, MEWA aims, for the first time, at estimating the impact of climate variability on wind resources using multi-scale modelling. The results of MEWA will be implemented in tools for wind resource mapping that are used and developed by DTU Wind Energy for wind turbine siting all over the world. Lastly, MEWA aims at strengthening the relations between research centers in Denmark and Mexico, and their research capacity.

The project began on 01.04.2018 and and finished on 31.12.2021.

Total project budget: 4.98 mio. DKK.

Master theses associated with the project:

Johansson E. E. (2019) The future of wind power resources in Denmark predicted by downscaling global circulation models. DTU Wind Energy-M-0255
Villanueva J. (2019) Evaluation of the wind atlas method to predict wind resources from numerical wind simulations. DTU Wind Energy-M-0305
García Santiago O. M. (2020) Cambios en la circulación de los vientos de bajos niveles en México ante escenarios de cambio climático. Master thesis. Centro de Investigación Científica y de Educación superior de Ensenada, Baja California, xii, 77 pp.
Quiroga Novoa P. F. (2020) Wind resource assessment using mesoscale and microscale coupling techniques. Master thesis. Tecnologico de Monterrey

Presentations at conferences:

Peña A., Floors R. and Hahmann A.N. (2019) Is WRF-LES worth or worthless? Wind Energy Science conference, Cork, Ireland
Peña A., Floors R. and Hahmann A.N. (2019) WRF-LES evaluation of turbulence measures using observations from a 250-m tower. International Conference on Energy & Meteorology, Lyngby, Denmark
Peña A. and Hahmann A.N. (2019) An evaluation of WRF-LES using measurements from a 250-m tower. European Meteorological Society Annual Meeting, Lyngby, Denmark
Floors, R., Peña A. and Hahmann (2019) A. Statistical coupling of mesoscale and microscale simulations: combining WRF and WAsP for wind resource assessments, European Meteorological Society Annual Meeting, Lyngby, Denmark
Magar V., Gross M. and Cruz-Rico J.E. (2019) Evaluación de cobertura de vegetación y altura del dosel de vegetación a través de imágenes satelitales y datos lidar, con aplicaciones a caracterización de recursos de energía eólica. Reunión Anual de la Unión Geofísica Mexicana, Puerto Vallarta, Mexico
Gross M. and Magar V. (2019) Evaluación de recurso de energía eólica con datos de torres anemométricas: efecto de la frecuencia de muestreo, de la técnica de promediado de datos, y de la longitud de la serie de tiempo. Reunión Anual de la Unión Geofísica Mexicana, Puerto Vallarta, Mexico
García O. and Cavazos T. (2019) Present and future changes in low-level wind circulation in Mexico. Paper-Writing Workshop on the Analysis of CORDEX-CORE Climate Projections. ICTP, Trieste, Italy. May 2019.
García O. and Cavazos T. (2019) Cambio en la circulación de los vientos de bajos niveles en México ante escenarios de cambio climático. Reunión Anual de la Unión Geofísica Mexicana, Puerto Vallarta, Mexico
Cavazos, T., Luna-Niño R.B., Cerezo-Mota R, Colorado-Ruiz G., García Santiago O.M., Torres-Alavez J.A., Hidalgo H., and Salinas J.A. (2019) Regional Modeling Studies in the CORDEX-CAM (Central America, Mexico and Caribbean) Domain. Invited Talk; American Geophysical Union, Fall Meeting, San Francisco, US. http://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/512081
Peña A. and Hahmann A.N. (2020) Evaluating planetary boundary layer schemes and large-eddy simulations with measurements from a 250-m meteorological mast. The Science of Making Torque from Wind, Delft, Netherlands
Hahmann A. N., Peña A. and Pryor S. (2020) Future wind resources in the North Sea as predicted by CMIP6 models. European Geophysical Union Annual Meeting, Viena, Austria https://meetingorganizer.copernicus.org/EGU2020/EGU2020-9093.html
Floors R., Peña A., and Hahmann A.N. (2020) Statistical coupling of mesoscale and microscale simulations: combining WRF and WAsP for wind resource assessments. Vindkraftnet meeting, Kolding, Denmark
Soria A., Magar V., Gross M., and Peña A. (2020) Caracterización de recursos de energía eólica en La Rumorosa, Baja California basada en mediciones de torres anemométricas y modelos numéricos, Reunión Anual de la Unión Geofísica Mexicana, Guadalajara, México
Peña A. and Hahmann, A.N. (2020) Evaluación de esquemas de PBL y large-eddy simulations con mediciones de un mástil de 250 m, Reunión Anual de la Unión Geofísica Mexicana, Guadalajara, México
Peña A. (2021) How turbulent is the atmospheric hydraulic jump at Alaiz? Wind Energy Science conference, virtual
Rogier, F., Hahmann, A.N., Cavar, D., Olsen, B.T., Davis, N., Peña, A., Mortensen, N.G., Bechmann, A., Hansen, J.C., Lennard, C., and Badger, J. (2021) Integrated wind resource modeling with WRF and PyWAsP, Wind Energy Science conference, virtual
Hahmann A., Arguello R.L., Olsen, B.T., Cavar D., Floors R., and Peña A. (2021). Optimising the WRF model configuration for the Mexican Wind Atlas. Wind Energy Science conference, virtual
Peña A. and Mirocha J.D. (2021) Comparison of LES of wakes with wind farm parametrizations using the WRF model, Wake conference, virtual
Peña A. and Mirocha J.D. (2021) Evaluation of the wind farm parametrization with LESs of wakes in WRF, European Meteorological Society Annual Meeting, solicited talked, virtual
Magar, V., Gross, M. S., Peña, A., Hahmann, A.N., and García-Santiago, L.S. (2021) Energía Eólica y Transición Energética: Estado actual y retos y oportunidades desde la perspectiva del desarrollo sostenible y sostenido. Reunión Anual de la Unión Geofísica Mexicana, Guadalajara, México
Peña A., Mirocha J.D., and Hahmann A.N. (2022) A one-year long turbulence simulation using a WRF-LES based modeling system at Østerild, The Science of Making Torque from Wind, Delft, Netherlands
Peña A. and Mirocha J.D. (2022) Intercomparing WRF-LES based turbulence simulations with measurements from a 250-m tall meteorological mast, European Geophysical Union Annual Meeting, Viena, Austria
Hahmann A.N., Peña A., García-Santiago O., and Pryor S.C. (2022) Evaluation of the assumptions used in the assessment of future wind resources - A case for CMIP6 in Northern Europe, European Geophysical Union Annual Meeting, Viena, Austria

Sessions organized in conferences:

Gross M. and Magar V. (2019) SE05: Modelación numérica para energías renovables (eólica y mar). Reunión Anual de la Unión Geofísica Mexicana, Puerto Vallarta , México
Gross M., Magar V., Rodríguez O. and Peña A. (2020) SE03: Avances Recientes en Modelación Numérica, Experimental o Estadística para Energía Eólica y Energías Renovables Marinas. Reunión Anual de la Unión Geofísica Mexicana, Guadalajara, México
Magar V. and Gross M. (2020) Recent advances in micro and mesoscale models, and meso-micro model coupling, for Wind Energy resource characterization. Global environmental change, Annual Unionl Meeting, San Francisco, US
Gross M., Magar V., Rodríguez O. and Peña A. (2021) SE02: Avances Recientes en Modelación Numérica, Experimental o Estadística para Energía Eólica y Energías Renovables Marinas. Reunión Anual de la Unión Geofísica Mexicana, Guadalajara, México

Chapters in books:

Magar V., Gross M., García Hernández L.S., Peña A. and Hahmann A.N. (2019) La energía eólica en México, desafíos y oportunidades. In: Prospectiva del sector energético de México. Submitted to the Mexican Senate editorial services

International journal papers:

Peña A. (2019) Østerild: a natural laboratory for atmospheric turbulence. Journal of Sustainable and Renewable Energy 11, 063302
Gross M., Magar V., and Peña A. (2020) The effect of averaging, sampling and time series length on wind power density estimations, Sustainability, 12, 3431
Hahmann A.N., Sile T., Witha B., Davis N.N., Dörenkämper M., Ezber Y., García-Bustamante E., González-Rouco J.F., Navarro J., Olsen B.T., and Södeberg S. (2020) The making of the new European Wind Atlas, Part 1: model sensitivity. Geoscientific Model Development, 13, 5053—5078
Peña A. and Hahmann A.N. (2020) Evaluating planetary boundary layer schemes and large-eddy simulations with measurements from a 250-m meteorological mast. Journal of Physics: Conference Series, 1618, 062001
Peña A. and Rosas P. (2021) Lidar observations and numerical simulations of an atmospheric hydraulic jump and mountain waves, Journal of Geophysical Research – Atmospheres, 126, e2020JD033744
Peña A., Kosović B., and Mirocha J.D. (2021) Evaluation of idealized large-eddy simulations performed with the Weather Research and Forecasting model using turbulence measurements from a 250-m meteorological mast, Wind Energy Science, 6, 645—661
Peña A. and Mirocha A.N. (2021) Comparison of large-eddy simulations of wakes with wind farm wake parametrizations using the Weather Research and Forecasting model. Journal of Physics: Conference Series, 1934, 012010
Rosas P., Peña A., and Mann J. (2021) Departure from flux-gradient relation in the planetary boundary layer. Atmosphere, 12, 672
Quiroga-Nova P, Cuevas-Figueroa G, Preciado J. L., Floors, R., Peña A., and Probst, O. (2021) Towards better wind resource modeling in complex terrain: a k-nearest neighbors approach. Energies, 14, 4364
Floors R, Badger M, Troen I., Grogan K., and Permien F.-H. (2021) Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling, Wind Energy Science, 6, 1379—1400
Peña A., Mirocha J.D, and Hahmann A.N. (2022) A one-year long turbulence simulation using a WRF-LES based modeling system at Østerild. Journal of Physics: Conference Series, 2265, 022011
Gross M., Magar V., and Peña A. (2022) Evaluation of model hierarchies and deep neural network regression for wind speed forecasts and resource assessment, Wind Energy, in review
Peña A., Mirocha J.D., and van der Laan M.P. (2021) Evaluation of a wind farm wake parameterization with large-eddy simulations of wakes using the Weather Research and Forecasting model. Monthly Weather Review, in review
Magar, V., Peña, A., Hahmann, A. N., Pacheco-Rojas, D. A., García-Hernández, L. S., and Gross, M. S. (2022) Wind energy and the energy transition: Challenges and opportunities for Mexico, Sustainability, in review
Hahmann A. H., Garcia-Santiago O.M., and Peña, A., (2022) Current and future wind energy resources in the North Sea according to CMIP6, Wind Energy Science, in review