Wind power represents one of the most promising sources of renewable energy and improvements to wind turbine design and control can have a significant impact on energy sustainability. This proposal is about a new design for efficient VAWT. Typically, VAWT power output is generated from the difference between the forces on the forward and backward facing blades to the wind direction. That reduces their efficiency as compared to the Horizontal Axis Wind Turbine (HAWT). The current innovation, eliminates the forces on the backward facing blades using dynamic blades which improve their efficiency to be comparablewith the HAWT.
In addition, the turbine is fitted with aerodynamic brakes that safely stop the turbine at low and high wind speeds. This safety feature does not exist in any Vertical Axis Wind Turbine in the market. The innovation received the Accelerator to Commercialization award in 2014 from the state of Ohio and University of Cincinnati. Several small size prototypes were builtwhich validated the concept.
VAWTs are capable of catching wind from all directions which avoid the need for yaw mechanisms, rudders or downwind coning. The electric generators can be positioned near the ground and are easily accessible for maintenance. The new invention will revolutionize thewind turbines andwind farms technology by improving the VAWT efficiency and safety.
Poster presented at the 2019 Special Libraries Association (SLA) annual conference.
Abstract: In 2018, the University of Cincinnati Libraries’ Research & Data Services (RDS) unit unveiled a new Visualization Laboratory (Viz Lab) and expanded service model including data visualization/data analysis. The RDS unit has its roots in STEMM and currently includes informationists, librarians and technical consultants who engages with researchers across all disciplines. The Viz Lab and its associated services are the culmination of several years of planning and implementation. This poster will share lessons learned and good practices with our visualization space and service planning, including considerations for space design, service and training models, staffing and assessment. In addition, this poster will describe the early impact of our efforts, as seen through consultation logs, trainings and campus outreach, space usage and grants activity. We will also reveal some future directions for RDS, including plans to increase integration of the Viz Lab and data visualization/data analysis services into the university’s teaching and research missions.
Acknowledgments: Amy Koshoffer, for creation of the Research & Data Services consultation log dataset and database structure.
This Poster describes a collaborative research project between the Culley and Tepe labs in the UC Department of Biology and UC Libraries Digital Scholarship Center presented at the 2017 UC Data Day ( https://libapps.libraries.uc.edu/blogs/dataday/past-data-days/). The project explores publication patterns of research involving hotspot areas of biodiversity and if researchers from developing countries which tend to have most of the biodiversity hotspots, are adequately represented as authors in the scientific literature indexed in Scopus (TM-Elsevier), JSTOR, and PubMed.