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Offshore wind power simulation by using WRF in the central coast of Chile
Affiliation:1. Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran;2. Microbial Biotechnology Department, Agricultural Biotechnology Research Institute of Iran (ABRII), P.O. Box: 31535-1897, AREEO, Karaj, Iran;3. Biofuel Research Team (BRTeam), Karaj, Iran;4. Faculty of Chemical Engineering, Noshirvani University of Technology, Babol, Iran;5. Department of Environmental Science, Faculty of Natural Resources, Tarbiat Modares University, Noor, Mazandaran, Iran;1. CESAM – Department of Physics, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;2. Grupo de Física de la Atmósfera y del Océano, Facultad de Ciencias, Universidad de Vigo, 32004 Ourense, Spain;3. Instituto Superior de Engenharia do Porto, Rua Dr. António Bernardino de Almeida 341, 4200-072 Porto, Portugal;4. MEGAJOULE Inovação, Rua Eng. Frederico Ulrich 2650, 4470-605 Moreira da Maia, Portugal;1. Department of Oceanography, University of Concepción, Casilla 160-C, Concepción, Chile;2. COPAS Sur-Austral Research Center, Concepción, Chile;3. Geophysics Department, University of Concepción, Casilla 160-C, Concepción, Chile;1. CESAM – Department of Physics, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;2. Ephyslab, Facultad de Ciencias, Universidad de Vigo, 32004 Ourense, Spain;3. CIDEM – Instituto Superior de Engenharia do Porto, Rua Dr. António Bernardino de Almeida 341, 4200-072 Porto, Portugal;4. MEGAJOULE Inovação, Rua Eng. Frederico Ulrich 2650, 4470-605 Moreira da Maia, Portugal;1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 10029, China;2. College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China;3. School of Statistics, Dongbei University of Finance and Economics, Dalian 116025, China;4. China Mobile (Suzhou) Software Technology Company Limited, Suzhou 215163, China
Abstract:This paper presents the first estimate of offshore wind power potential for the central coast of Chile. For this purpose, wind speed data from in-situ stations and ERA-Interim reanalysis were used to simulate wind fields at regional level by means of the Weather Research and Forecasting (WRF) model. Wind field simulations were performed at different heights (20, 30, 40 and 140 m.a.s.l.) and a spatial resolution of 3 × 3 km for the period from February 1, 2006 to January 31, 2007, which comprised the entire series of in-situ data available. The results show an RMSE and r2 of 2.2 m s−1 and 0.55 respectively for the three heights simulated as compared to in-situ data. Based on the simulated wind data, the wind power for the study area was estimated at ∼1000 W m−2 at a height of 140 m.a.s.l. For a typical wind turbine of 8 MW generator, the estimated capacity factor exceeds 40%, with an average annual generation of ∼30 GWh. Offshore wind power in Chile is an emerging renewable energy source that is as yet still under-developed, these estimates help to fill in some of the gaps in our knowledge about Chile's true renewable energy potential.
Keywords:Wind simulation  Offshore  Wind power  WRF  Chile
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