People

Principal Investigator/Lab Director:

Prof. Cristina L. Archer

Graduate students​

 

Ali Khanjari, PhD student, Mechanical Engineering, 2022-current.

Research on wind turbine wakes and CFD modeling.
 

Asim Feroz, PhD student, Mechanical Engineering, 2022-current.

Research on turbulence in wind turbine wakes and WRF modeling.
Nicolas Al Fahel, PhD student, Energy and Environmental Policy, 2019-current.

  1. Archer, C. L., G. Cervone, M. Golbazi, N. Al Fahel, and C. Hultquist, 2020: Air quality changes and their links to people mobility in the U.S. during the COVID-19 pandemic. Bulletin of Atmospheric Science and Technology, doi: 10.1007/s42865-020-00019-0.
  2. Jin, E., N. Al Fahel, P. Mondal, H. Li, and C. L. Archer, 2020: Energy footprint of food: The case of corn production in Delaware. Food and Energy Security, doi: 10.1002/fes3.222.
  3. Al Fahel, N., and C. L. Archer, 2020: Observed onshore precipitation changes after the installation of offshore wind farms. Bulletin of Atmospheric Science and Technology, doi: 10.1007/s42865-020-00012-7.

Former graduate students

Dr. Maryam Golbazi, PhD, Ocean Engineering, 2017-2022.

Research on links between offshore wind energy in the US and air quality using numerical simulations.

  1. Golbazi, M., C. L. Archer, and S. Alessandrini, 2022: Surface impacts of large offshore wind farms. Environmental Research Letters, doi: 10.1088/1748-9326/ac6e49
  2. Archer, C. L., G. Cervone, M. Golbazi, N. Al Fahel, and C. Hultquist, 2020: Air quality changes and their links to people mobility in the U.S. during the COVID-19 pandemic. Bulletin of Atmospheric Science and Technology, doi: 10.1007/s42865-020-00019-0.
  3. Golbazi, M., and C. L. Archer, 2019: Methods to estimate surface roughness length for offshore wind energy. Advances in Meteorology, 2019, 5695481, 15 pp., doi: 10.1155/2019/5695481.
Dr. Sicheng (Winston) Wu, PhD, Ocean Engineering, 2016-2021.

  1. Wu, S., and C. L. Archer, 2021: Near-ground effects of wind turbines: Observations and physical mechanisms. Monthly Weather Review, doi: 10.1175/MWR-D-20-0186.1
  2. Archer, C. L., S. Wu, Y. Ma, and P. A. Jiménez, 2020: Turbulent kinetic energy generated by wind farms is treated incorrectly in the WRF model. Monthly Weather Review, conditionally accepted.
  3. Archer, C. L., S. Wu, A. Vasel-Be-Hagh, J. F. Brodie, R. Delgado, A. St. Pé, S. Oncley, and S. Semmer, 2019: The VERTEX field campaign: Observations of near-ground effects of wind turbine wakes. Journal of Turbulence, 20(1), 64-92, doi: 10.1080/14685248.2019.1572161.
  4. Archer, C. L., A. Vasel-Be-Hagh, C. Yan, S. Wu, Y. Pan, J. F. Brodie, and A. E. Maguire, 2018: Review and evaluation of wake loss models for wind energy applications. Applied Energy, 226, 1187-1207, doi: 10.1016/j.apenergy.2018.05.085.
  5. Ghaisas, N. S., C. L. Archer, S. Xie, S. Wu, and E. Maguire, 2017: Evaluation of layout and atmospheric stability effects in wind farms using large-eddy simulation. Wind Energy, 20(7), 1227-1240, doi: 10.1002/we.2091.

Dr. Mojtaba Moghani, PhD, Climatology, 2016-2020.

Research on links between air quality, in particular ozone pollution, and climate change in the eastern US based on photochemical and climate models.

  1. Moghani, M., and C. L. Archer, 2022: Impacts of replacing coal with renewable energy sources and electrifying the transportation sector on future ozone concentrations in the U.S. under a warming climate. Atmospheric Pollution Research, 13(9), 101522, doi: 10.1016/j.apr.2022.101522
  2. Moghani, M., and C. L. Archer, 2020: The impact of emissions and climate change on future ozone concentrations in the U.S. Air Quality, Atmosphere & Health, doi: 10.1007/s11869-020-00900-z.
  3. Moghani, M., C. L. Archer, and A. Mirzakhalili, 2018: The importance of transport to ozone pollution in the U.S. Mid-Atlantic. Atmospheric Environment, 191, 420-431, doi: 10.1016/j.atmosenv.2018.08.005.
Dr. Chi Yan, PhD, Physical Ocean Science and Engineering, 2014-2018.

  1. Yan, C., Y. Pan, and C. L. Archer, 2019: A general method to estimate wind farm power using artificial neural networks. Wind Energy, doi:  10.1002/we.2379.
  2. Yan. C., and C. L. Archer, 2018: Assessing compressibility effects on the performance of large horizontal-axis wind turbines. Applied Energy, 212, 33-45, doi: 10.1016/j.apenergy.2017.12.020.
  3. Archer, C. L., A. Vasel-Be-Hagh, C. Yan, S. Wu, Y. Pan, J. F. Brodie, and A. E. Maguire, 2018: Review and evaluation of wake loss models for wind energy applications. Applied Energy, 226, 1187-1207, doi: 10.1016/j.apenergy.2018.05.085.
  4. Pan, Y., C. Yan, and C. L. Archer, 2018: Precipitation reduction during Hurricane Harvey with simulated offshore wind farms. Environmental Research Letters, 13(8), 084007, doi:10.1088/1748-9326/aad245.
Dr. Yang Pan, PhD, Ocean Engineering, 2014-2018.

  1. Yan, C., Y. Pan, and C. L. Archer, 2019: A general method to estimate wind farm power using artificial neural networks. Wind Energy, doi:  10.1002/we.2379.
  2. Pan, Y., and C. L. Archer, 2018: A hybrid wind-farm parametrization for mesoscale and climate models. Boundary-Layer Meteorology, doi:  10.1007/s10546-018-0351-9.
  3. Archer, C. L., A. Vasel-Be-Hagh, C. Yan, S. Wu, Y. Pan, J. F. Brodie, and A. E. Maguire, 2018: Review and evaluation of wake loss models for wind energy applications. Applied Energy, 226, 1187-1207, doi: 10.1016/j.apenergy.2018.05.085.
  4. Pan, Y., C. Yan, and C. L. Archer, 2018: Precipitation reduction during Hurricane Harvey with simulated offshore wind farms. Environmental Research Letters, 13(8), 084007, doi:10.1088/1748-9326/aad245.Dr. Shengbai Xie, PhD student, Ocean Engineering, 2012-2015.
Dr. Shengbai Xie, PhD, Ocean Engineering, 2012-2015.

  1. Ghaisas, N. S., C. L. Archer, S. Xie, S. Wu, and E. Maguire, 2017: Evaluation of layout and atmospheric stability effects in wind farms using large-eddy simulation. Wind Energy, 20(7), 1227-1240, doi: 10.1002/we.2091.
  2. Xie. S., C. L. Archer, N. Ghaisas, and C. Meneveau, 2017: Benefits of collocating vertical-axis and horizontal-axis wind turbines in large wind farms. Wind Energy, 20(1), 45-62, doi: 10.1002/we.1990.
  3. Xie, S., N. Ghaisas, and C. L. Archer, 2015: Sensitivity issues in finite-difference large-eddy simulations of the atmospheric boundary layer with dynamic subgrid scale models. Boundary-Layer Meteorology, 157(3), 421-445, doi: 10.1007/s10546-015-0071-3.
  4. Xie, S., and C. L. Archer, 2015: Self-similarity and turbulence characteristics of wind turbine wakes via large-eddy simulation, Wind Energy, 18(10), 1815–1838, doi: 10.1002/we.1792.

Former postdoctoral researchers

Dr. Yulong Ma, 2020-2021.

Research on how to model wind farm wakes in numerical weather prediction models like the WRF.

  1. Ma, Y.,C. L. Archer, and A. Vasel-Be-Hagh, 2022: Comparison of individual versus ensemble wind farm parameterizations inclusive of sub-grid wakes for the WRF model. Wind Energy, doi: 10.1002/we.2758
  2. Archer, C. L., S. Wu, Y. Ma, and P. A. Jiménez, 2020: Two corrections for turbulent kinetic energy generated by wind farms in the WRF model. Monthly Weather Review, 148(12), 4823–4835, doi: 10.1175/MWR-D-20-0097.1.

Dr. Enze Jin, 2019-2020.

Research on links between energy and food, with focus on Delaware corn and poultry.

  1. Jin, E., N. Al Fahel, P. Mondal, H. Li, and C. L. Archer, 2020:Energy footprint of food: The case of corn production in Delaware. Food and Energy Security, doi: 10.1002/fes3.222.
Dr. Joseph Brodie, PostDoc, 2016-2017.

  1. Archer, C. L., J. F. Brodie, and S. Rauscher, 2019: Global warming will aggravate ozone pollution in the U.S. Mid-Atlantic. Journal of Applied Meteorology and Climatology, 58(6), 1267-1278, doi: 10.1175/JAMC-D-18-0263.1.
  2. Archer, C. L., A. Vasel-Be-Hagh, C. Yan, S. Wu, Y. Pan, J. F. Brodie, and A. E. Maguire, 2018: Review and evaluation of wake loss models for wind energy applications. Applied Energy, 226, 1187-1207, doi: 10.1016/j.apenergy.2018.05.085.
  3. Brodie, J. F., C. L. Archer, and S. A. Rauscher, 2017: Ozone pollution in Delaware: How does climate change influence ozone-related health? Delaware Journal of Public Health, 3(6), 6-11.
Dr. Ahmad Vasel-Be-Hagh, PostDoc, 2015-2017.

  1. Archer, C. L., and A. Vasel-Be-Hagh, 2019: Wake steering via yaw control in multi-turbine wind farms: Recommendations based on large-eddy simulation. Sustainable Energy Technologies and Assessments, 33, 34-43, doi: 10.1016/j.seta.2019.03.002.
  2. Archer, C. L., S. Wu, A. Vasel-Be-Hagh, J. F. Brodie, R. Delgado, A. St. Pé, S. Oncley, and S. Semmer, 2019: The VERTEX field campaign: Observations of near-ground effects of wind turbine wakes. Journal of Turbulence, 20(1), 64-92, doi: 10.1080/14685248.2019.1572161.
  3. Archer, C. L., A. Vasel-Be-Hagh, C. Yan, S. Wu, Y. Pan, J. F. Brodie, and A. E. Maguire, 2018: Review and evaluation of wake loss models for wind energy applications. Applied Energy, 226, 1187-1207, doi: 10.1016/j.apenergy.2018.05.085.
  4. Vasel-Be-Hagh, A., and C. L. Archer, 2017: Wind farm hub height optimization. Applied Energy, 195, 905-921, doi: 10.1016/j.apenergy.2017.03.089.
  5. Vasel-Be-Hagh, A., and C. L. Archer, 2016: Wind farms with counter-rotating wind turbines. Sustainable Energy Technologies and Assessments, doi: 10.1016/j.seta.2016.10.004.
Dr. Francisco Santos-Alamillos, PostDoc, 2015-2016.

  1. Santos-Alamillos, F., C. L. Archer, L. Noel, C. Budischak, and W. Facciolo, 2017: Assessing the economic feasibility of the gradual decarbonization of a large electric power system. Journal of Cleaner Production, 147, 130-141, doi: 10.1016/j.jclepro.2017.01.097.
Dr. Niranjan Ghaisas, PostDoc, 2014-2015.

  1. Ghaisas, N. S., C. L. Archer, S. Xie, S. Wu, and E. Maguire, 2017: Evaluation of layout and atmospheric stability effects in wind farms using large-eddy simulation. Wind Energy, 20(7), 1227-1240, doi: 10.1002/we.2091.
  2. Xie. S., C. L. Archer, N. Ghaisas, and C. Meneveau, 2017: Benefits of collocating vertical-axis and horizontal-axis wind turbines in large wind farms. Wind Energy, 20(1), 45-62, doi: 10.1002/we.1990.
  3. Ghaisas, N., and C. L. Archer, 2016: Geometry-based models for studying the effect of wind farm layout. Journal of Atmospheric and Oceanic Technology, 23(3), 481-501, doi: 10.1175/JTECH-D-14-00199.1.
  4. Xie, S., N. Ghaisas, and C. L. Archer, 2015: Sensitivity issues in finite-difference large-eddy simulations of the atmospheric boundary layer with dynamic subgrid scale models. Boundary-Layer Meteorology, 157(3), 421-445, doi: 10.1007/s10546-015-0071-3.
Dr. Sina Mirzaei Sefat, PostDoc, 2012-2013.

  1. ​Archer, C. L., S. Mirzaeisefat, and S. Lee, 2013: Quantifying the sensitivity of wind farm performance to array layout options using Large-Eddy Simulation. Geophysical Research Letters, 40(18), 4963–4970, doi: 10.1002/grl.50911.

Last update: 6/16/2023