C. Bay

发表

Comparison of modular analytical wake models to the Lillgrund wind plant

P. Fleming, N. Hamilton, C. Bay, 2020 .

The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows

P. Fleming, M. Howland, N. Hamilton, 2020, Wind Energy Science.

System-level design studies for large rotors

Daniel S. Zalkind, Dana P. Martin, L. Pao, 2019, Wind Energy Science.

DR AF T System-Level Design Analysis for Large Rotors – Preprint , to be submitted to Wind Energy Science

Daniel S. Zalkind, Dana P. Martin, L. Pao, 2018 .

Controls-Oriented Model for Secondary Effects of Wake Steering

Ryan N. King, P. Fleming, E. Simley, 2020 .

Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1

Brady Ryan, Paul Fleming, Andrew Scholbrock, 2019, Wind Energy Science.

Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2

J. Lundquist, P. Moriarty, P. Fleming, 2020, Wind Energy Science.

Toward flow control: An assessment of the curled wake model in the FLORIS framework

P. Fleming, M. Kühn, C. Bay, 2020, Journal of Physics: Conference Series.

Design and analysis of a spatially heterogeneous wake

C. Draxl, P. Fleming, E. Simley, 2020 .

Serial-Refine Method for Fast Wake-Steering Yaw Optimization

P. Fleming, E. Simley, C. Bay, 2022, Journal of Physics: Conference Series.

Design and Testing of a Scaled Demonstrator Turbine at the National Wind Technology Center: Preprint

Dana P. Martin, L. Pao, K. Johnson, 2019 .

Biomechanics and Ultrastructure of the Ocular Lens

Christopher J. Bay, C. Bay, 2012 .

Proof-of-concept of a reinforcement learning framework for wind farm energy capture maximization in time-varying wind

J. King, P. Stanfel, K. Johnson, 2021, Journal of Renewable and Sustainable Energy.

Design and analysis of a wake model for spatially heterogeneous flow

C. Draxl, P. Fleming, E. Simley, 2021 .

Control-oriented model for secondary effects of wake steering

Luis A. Martínez-Tossas, Paul Fleming, Eric Simley, 2021 .

Evaluation of the potential for wake steering for U.S. land-based wind power plants

P. Fleming, M. Debnath, E. Simley, 2021, Journal of Renewable and Sustainable Energy.

Overview of FLORIS updates

P. Fleming, E. Simley, N. Hamilton, 2020, Journal of Physics: Conference Series.

Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2

Brady Ryan, Paul Fleming, Andrew Scholbrock, 2020, Wind Energy Science.

Objective and Algorithm Considerations When Optimizing the Number and Placement of Turbines in a Wind Power Plant

Christopher J. Bay, Andrew P. J. Stanley, Jennifer King, 2021, Wind Energy Science.

FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models

P. Fleming, C. Bay, M. Bastankhah, 2022, Wind Energy Science.

Gradient-Based Wind Farm Layout Optimization Results Compared with Large-Eddy Simulations

A. Ning, C. Bay, Jared J. Thomas, 2022 .

FLOWERS: An integral approach to engineering wake models

P. Fleming, C. Bay, M. Bastankhah, 2021 .

Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy

Tyler Stehly, Lucy Y. Pao, Michael S. Selig, 2021, Annu. Rev. Control..

Distributed Reinforcement Learning with ADMM-RL

Jennifer Annoni, Peter Graf, Devon Sigler, 2019, 2019 American Control Conference (ACC).

A gravo-aeroelastically scaled wind turbine rotor at field-prototype scale with strict structural requirements

Rick Damiani, Mayank Chetan, D. Todd Griffith, 2020 .

Fast Yaw Optimization for Wind Plant Wake Steering Using Boolean Yaw Angles

P. Fleming, C. Bay, R. Mudafort, 2021, Wind Energy Science.

A Framework for Autonomous Wind Farms: Wind Direction Consensus

Kathryn E. Johnson, Paul Fleming, Jennifer Annoni, 2018 .

Active Power Control for Wind Farms Using Distributed Model Predictive Control and Nearest Neighbor Communication

Kathryn E. Johnson, Jennifer Annoni, Lucy Y. Pao, 2018, 2018 Annual American Control Conference (ACC).

Sparse-Sensor Placement for Wind Farm Control

Kathryn E. Johnson, Timothy Taylor, Paul Fleming, 2018, Journal of Physics: Conference Series.

Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective Function

Bryan P. Rasmussen, Christopher J. Bay, Rohit H. Chintala, 2020, Energies.

Distributed model predictive control for coordinated, grid-interactive buildings

C. Bay, J. King, V. Chinde, 2022, Applied Energy.

Shifting Demand: Reduction in Necessary Storage Capacity Through Tracking of Renewable Energy Generation

K. Johnson, Joshua Comden, C. Bay, 2023, Advances in Applied Energy.

Initial Results From a Field Campaign of Wake Steering Applied at a Commercial Wind Farm: Part 1

J. Lundquist, P. Moriarty, P. Fleming, 2019 .

A Distributed Reinforcement Learning Yaw Control Approach for Wind Farm Energy Capture Maximization*

Jennifer King, Christopher J. Bay, Paul Stanfel, 2020, 2020 American Control Conference (ACC).

Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model

P. Fleming, M. Churchfield, C. Bay, 2023, Wind Energy Science.

Integration of distributed controllers: Power reference tracking through charging station and building coordination

K. Johnson, C. Bay, J. King, 2022, Applied Energy.

Grid-Interactive Electric Vehicle and Building Coordination Using Coupled Distributed Control

K. Johnson, C. Bay, J. King, 2022, 2022 American Control Conference (ACC).

Design and Testing of a Scaled Demonstrator Turbine at the National Wind Technology Center

Kathryn E. Johnson, Rick Damiani, Lucy Y. Pao, 2019, AIAA Scitech 2019 Forum.

Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1

J. Lundquist, P. Moriarty, P. Fleming, 2019, Wind Energy Science.

Structural Design of a 1/5thScale Gravo-Aeroelastically Scaled Wind Turbine Demonstrator Blade for Field Testing

Rick Damiani, Mayank Chetan, D. Todd Griffith, 2019, AIAA Scitech 2019 Forum.