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Systems and methods for control of a solar power tower using infrared thermography

  • US 8,931,475 B2
  • Filed: 07/09/2009
  • Issued: 01/13/2015
  • Est. Priority Date: 07/10/2008
  • Status: Expired due to Fees
First Claim
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1. A solar energy collection system comprising:

  • a plurality of heliostats;

    a solar receiver which receives on an external surface thereof solar radiation reflected from the plurality of heliostats, the receiver including a plurality of tubes for conveying a fluid therethrough, external surfaces of the tubes forming at least a portion of the receiver external surface, the external surfaces of the tubes transmitting energy from the reflected solar radiation received thereon to the conveyed fluid;

    a plurality of thermal imaging devices which detect infrared radiation emanating from the receiver external surface and provide first temperature signals indicative of a temperature at a location on the receiver external surface,each thermal imaging device having a plurality of pixels, the external surface of each of the tubes being imaged by at least one of the plurality of thermal imaging devices,fields of view of the thermal imaging devices overlapping such that each portion of the receiver external surface is imaged, wherein at any given time at least one of the plurality of thermal imaging devices does not look into the sun;

    a weather station which measures instantaneous weather data at a location of the solar energy collection system and transmits the measured weather data to at least the plurality of thermal imaging devices, the thermal imaging devices adjusting the first temperature signals based on the transmitted weather data; and

    a controller which computes solar energy flux distribution incident on the external surface of the solar receiver from the plurality of heliostats based at least in part on the first temperature signals and predictive convective and radiative heat losses from the solar receiver, and controls the plurality of heliostats responsively to said computed solar energy flux distribution,wherein the predictive convective heat loss is based on the measured weather data including at least one of relative humidity, wind speed, and wind direction.

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