Abstract: An integrated wind turbine acoustic-noise and shadow-flicker recognition system, comprising monitors located at nearby locations and base-units installed in each wind turbine, is described. The system comprehensively addresses neighbors' concerns with potential sound- and flicker-based nuisance emissions. Each monitor includes a computer processor; a microphone and light-monitor; a two-way communication system for interaction with the base-unit; and a set of indicator-lights. Each base-unit includes a computer processor; a two-way communication system for interacting with local monitors; plus a display, data-ports, and programming interfaces. Collectively, computer processors in the monitors and base-units jointly assess acoustic, optical, and turbine operating data to signal a mitigation event. The methods used to determine a mitigation event are based on a unique signature-recognition methodology that relies on analysis of data received at both the turbine and at the monitored location.

Abstract: A wind-powered anemometer generates sufficient electrical energy to monitor its rotational speed and to provide an alarm when the rotational speed exceeds a predetermined set point value. The anemometer includes an electrical generator and a signal conditioning system. An alarm is provided to enunciate when a dangerous condition is present.

Abstract: A wireless wind-powered anemometer comprising: a wind reacting device; a rotatable shaft in communication with the wind reacting device; an ac generator in communication with the rotatable shaft, and where the ac generator is configured to produce an ac voltage that is generally directly proportional to wind speed detected by the wind reacting devices; a signal conditioning and transmitter circuit in communication with the ac generator; and where the signal conditioning and transmitter circuit is configurable to communicate with a wireless network, and where the signal conditioning and transmitter circuit is supplied with power from the ac generator.