| 1 |
A Mesoscale Model for Diffusion and Permeation of Shale Gas at Geological Depth
Tong TX, Cao DP
AIChE Journal, 64(3), 1059, 2018 |
| 2 |
Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean
Ulazia A, Saenz J, Ibarra-Berastegui G, Gonzalez-Roji SJ, Carreno-Madinabeitia S
Applied Energy, 208, 1232, 2017 |
| 3 |
Coupled wind farm parameterization with a mesoscale model for simulations of an onshore wind farm
Yuan RY, Ji WJ, Luo K, Wang JW, Zhang SX, Wang Q, Fan JR, Ni MJ, Cen KF
Applied Energy, 206, 113, 2017 |
| 4 |
Sensitivity to the use of 3DVAR data assimilation in a mesoscale model for estimating offshore wind energy potential. A case study of the Iberian northern coastline
Ulazia A, Saenz J, Ibarra-Berastegui G
Applied Energy, 180, 617, 2016 |
| 5 |
Mesoscale model for heterogeneous catalysis based on the principle of compromise in competition
Huang WL, Li JH
Chemical Engineering Science, 147, 83, 2016 |
| 6 |
Estimating the offshore wind resources of the State of Ceara in Brazil
Lima DKS, Leao RPS, dos Santos ACS, de Melo FDC, Couto VM, de Noronha AWT, Oliveira DS
Renewable Energy, 83, 203, 2015 |
| 7 |
Regional and seasonal characteristics of global horizontal irradiance forecasts obtained from the Japan Meteorological Agency mesoscale model
Ohtake H, Fonseca JGD, Takashima T, Oozeki T, Shimose K, Yamada Y
Solar Energy, 116, 83, 2015 |
| 8 |
Assessment of offshore wind energy potential using mesoscale model and geographic information system
Yamaguchi A, Ishihara T
Renewable Energy, 69, 506, 2014 |
| 9 |
Wave energy resources along the Hawaiian Island chain
Stopa JE, Filipot JF, Li N, Cheung KF, Chen YL, Vega L
Renewable Energy, 55, 305, 2013 |
| 10 |
Accuracy of the solar irradiance forecasts of the Japan Meteorological Agency mesoscale model for the Kanto region, Japan
Ohtake H, Shimose K, Fonseca JGD, Takashima T, Oozeki T, Yamada Y
Solar Energy, 98, 138, 2013 |
