Atmospheric Challenges for the Wind Energy Industry Workshop
The agenda for the 2020 Workshop on Challenges for the Wind Enrgy Industry is shown below. Presentation slides are linked through the presentation titles. Videos are available for each main session of the workshop.
Industry Workshop: Atmospheric Science Challenges for the Wind Industry
Sponsored by Mesoscale to Microscale Coupling (MMC) Team
Held October 19-20, 8:00 - 12:00 MDT (1400 - 1800 UTC)
Monday, October 19, 2020
Big Picture Vision for Atmospheric Science Research
(Times in MDT)
8:00 Welcome and Goals – Sue Haupt, NCAR
8:10 Introduction to DOE Wind Energy Technology Office (WETO) – Bob Marlay, WETO Director
8:20 DOE Panel - Mike Robinson, DOE (Moderator)
- Vision for DOE’s Wind Program – Mike Derby, WETO Chief Technology Officer
- Vision for Atmospheric Science Research – Shannon Davis, WETO Program Analyst
- Current Atmospheric Science Research – Sue Haupt, MMC PI
- Discussion
9:20 Industry Visioning Panel, Caroline Draxl, NREL (Moderator)
- Industry Use of High-Fidelity Modelling – Mark Ahlstrom, NextEra
- Philippe Beaucage, UL / AWS Truepower
- Greg Oxley, Siemens-Gamesa
10:30 Directions for Break-out group sessions
10:40 Break-out groups to discuss our vision for how atmospheric modeling will advance wind energy science and application
11:30 Full group – report outs and full group discussion
Noon Disperse
Tuesday, October 20, 2020
Technical Research Conversations
8:00 Welcome back and Summary of Day 1 – Larry Berg, PNNL
8:10 Panel 1 – Offshore Wind Modeling Opportunities and Challenges, Will Shaw, PNNL (Moderator)
- Keynote: Where Are We and Where Do We Need To Go on Data? – Charlotte Bay Hasager, DTU
- Keynote: Where Are We and Where Do We Need To Go on Modeling Xiaoli Guo Larsén, DTU
- Data & Mesoscale Modeling – Branko Kosović, NCAR
- Industry Perspective – Andreas Knauer, Equinor
- Microscale Modeling – Matthew Churchfield, NREL
- Wind-wave Coupling – Peter Sullivan, NCAR
- Discussion
9:30 Short break
9:40 Panel 2 – Modeling Challenges for Wind Energy, Sue Haupt, NCAR (Moderator)
- Dynamic Nature of the Atmosphere as Captured by MMC – Jeff Mirocha, LLNL
- Industry Use of High Fidelity Modeling – Mark Zagar, Vestas
- Evaluating Model Errors – Colleen Kaul, PNNL
- Vijayant Kumar, Sentient Science
- Discussion
10:30 Parallel Sessions for More Detailed Technical Conversation. Each session will kick-off with short prepared talks, then evolve into guided visioning conversation.
Session 1: Details of Downscaling, Jeff Mirocha, LLNL (Moderator)
- Turbulence Generation – Domingo Munoz-Esparza, NCAR
- Terra Incognita research – Raj Rai, PNNL
- The Gap Between Modelers and End-Users – Pep Moreno, Vortex
Session 2: Modeling for Turbines, Matthew Churchfield, NREL (Moderator)
- Use for Loads – Eliot Quon, NREL
- Modeling for Controls – Paul Fleming, NREL
- Modeling Challenges – Jennifer Newman, REsurety, Inc.
Session 3: Using AI in Atmospheric Modeling, Timothy Juliano, NCAR (Moderator)
- Better Machine Learning Models of the Surface Layer – David John Gagne, NCAR
- Downscaling with Deep Learning – Ryan King, NREL
- Improving Forecasts with Machine Learning – Daniel Kirk-Davidoff, UL/AWS Truepower
11:30 Report outs and large group discussion
Noon Disperse
Abbreviations:
- DOE – Department of Energy
- DTU – Technical University of Denmark
- LANL – Los Alamos National Laboratory
- LLNL – Lawrence Livermore National Laboratory
- NCAR – National Center for Atmospheric Research
- NREL – National Renewable Energy Laboratory
- PNNL – Pacific Northwest National Laboratory
- WETO – Wind Energy Technologies Office