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Full-Text Articles in Engineering
The Performance Of Wind Turbine Smart Rotor Control Approaches During Extreme Loads, Matthew Lackner, Gijs A. M. Van Kuik
The Performance Of Wind Turbine Smart Rotor Control Approaches During Extreme Loads, Matthew Lackner, Gijs A. M. Van Kuik
Matthew Lackner
Reducing the loads experienced by wind turbine rotor blades can lower the cost of energy of wind turbines. “Smart rotor control” concepts have emerged as a solution to reduce fatigue loads on wind turbines. In this approach, aerodynamic load control devices are distributed along the span of the blade, and through a combination of sensing, control, and actuation, these devices dynamically control the blade loads. While smart rotor control approaches are primarily focused on fatigue load reductions, extreme loads on the blades may also be critical in determining the lifetime of components, and the ability to reduce these loads as …
Electronic Falls Reporting System Implementation: Evaluating Data Collection Methods And Studying User Acceptance, Yi You Mei
Masters Theses 1911 - February 2014
In this research, we detail the development of a novel, easy-to-use system to facilitate electronic patient falls reporting within a long-term residential care facility (LTRCF) using off-the-shelf technology that can be inexpensively implemented in a wide variety of settings. We report the results of four complimentary system evaluation measures that take into consideration varied organizational stakeholders’ perspectives: 1) System-level benefits and costs, 2) System usability, via scenario-based use cases, 3) A holistic assessment of users’ physical, cognitive, and marcoergonomic (work system) challenges in using the system, and 4) User technology acceptance. We report the viability of collecting and analyzing data …
Electric Power Market Modeling With Multi-Agent Reinforcement Learning, Nathanael K. Miksis
Electric Power Market Modeling With Multi-Agent Reinforcement Learning, Nathanael K. Miksis
Masters Theses 1911 - February 2014
Agent-based modeling (ABM) is a relatively new tool for use in electric power market research. At heart are software agents representing real-world stakeholders in the industry: utilities, power producers, system operators, and regulators. Agents interact in an environment modeled after the real-world market and underlying physical infrastructure of modern power systems. Robust simulation laboratories will allow interested parties to stress test regulatory changes with agents motivated and able to exploit any weaknesses, before making these changes in the real world. Eventually ABM may help develop better understandings of electric market economic dynamics, clarifying both delineations and practical implications of market …