PATENTS AND TRADEMARKS
At One Power, we challenge everything. We value innovation, curiosity, and are never satisfied with the status quo.
We’ve spent more than a decade developing solutions to some of the industry’s most complicated problems, and as such, One Power holds several U.S. patents and trademarks.
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Corporate Value #4:
Work with Manufacturers to Give Our Customers the Best Products Possible.
Corporate Value #9: Never Settle for the Industry Standard.
Corporate Value #10: Challenge Everything.
Patents
Devices, Systems, Methods, and Kits for Remotely Operating a Switch
Patent Number US 9,536,682
Issue Date: January 3, 2017
Abstract: Devices, systems, methods, and kits for remotely operating a switch are described herein. An example embodiment of a system for remotely operating a switch comprises a plate, a connecting member, a first fastener, a second fastener, a first attachment member, a second attachment member, a first wire member, a second wire member, and a pulling member. The plate has a body that defines a first bend and a second bend and is releasably attached to the handle of a switch. During use, an operator utilizes the first and second wire members to moved the switch between an open state and a closed state.
Reinforcement Assemblies, Fixtures, and Methods
Patent Number US 9,617,704
Issue Date: April 11, 2017
Abstract: Reinforcement assemblies, reinforcement fixtures, methods of constructing a reinforcement assembly, and methods of constructing a reinforcement fixture are described herein. An example embodiment of a reinforcement assembly comprises a plate, a plurality of connectors, and a plurality of elongate members. The plate comprises a plate lengthwise axis, a plate center axis, a plate top surface, a plate bottom surface, and a plate outer surface. Each connector of the plurality of connectors is attached to the plate outer surface and each elongate member of the plurality of elongate members is attached to a connector of the plurality of connectors.
Method of Evaluation of Wind Flow Based on Conservation of Momentum and Variation in Terrain
(Wind Flow Model Algorithm)
Patent Number US 9,881,108
Issue Date: January 30, 2018
Abstract: A method of modeling the spatial variation in wind resource at a prospective wind farm site. The method involves a simplified analysis of the Navier-Stokes equation and utilizes data from all of the met sites simultaneously to develop site-calibrated models. The model coefficients, mUW and mDW, describe the sensitivity of the wind speed to changes in the upwind and downwind terrain exposure and are defined for downhill and uphill flow. The coefficients are a function of terrain complexity and, since terrain complexity can change across an area, the estimates are performed in a stepwise fashion where a path of nodes with a gradual change in complexity is found between each pair of sites. Also, coefficients are defined for each wind direction sector and estimates are performed on a sectorwise basis. The site-calibrated models are created by cross-predicting between each pair of met sites and, through a self-learning technique, the model coefficients that yield the minimum met cross-prediction error are found.
Method of Evaluating Wind Flow Based on Conservation of Momentum and Variation in Terrain
(Site Calibration Algorithm)
Patent Number US 10,120,964
Issue Date: November 6, 2018
Abstract: A method of modeling the spatial variation in wind resource at a prospective wind farm site. The method involves a simplified analysis of the Navier-Stokes equation and utilizes data from all of the met sites simultaneously to develop site-calibrated models. The model coefficients, mUW and mDW, describe the sensitivity of the wind speed to changes in the upwind and downwind terrain exposure and are defined for downhill and uphill flow. The coefficients are a function of terrain complexity and, since terrain complexity can change across an area, the estimates are performed in a stepwise fashion where a path of nodes with a gradual change in complexity is found between each pair of sites. Also, coefficients are defined for each wind direction sector and estimates are performed on a sectorwise basis. The site-calibrated models are created by cross-predicting between each pair of met sites and, through a self-learning technique, the model coefficients that yield the minimum met cross-prediction error are found.