4.7 Article

A comprehensive model for optical and thermal characterization of a linear Fresnel solar reflector with a trapezoidal cavity receiver

Journal

RENEWABLE ENERGY
Volume 97, Issue -, Pages 129-144

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2016.05.065

Keywords

Concentrating solar power; Linear Fresnel reflector; Trapezoidal cavity receiver; Optical and thermal characterization; Monte Carlo ray tracing; Finite volume method

Funding

  1. Key Project of National Natural Science Foundation of China [51436007]
  2. Major Program of the National Natural Science Foundation of China [51590902]

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In this paper, a comprehensive numerical model was developed by coupling Monte Carlo Ray Tracing (MCRT) and Finite Volume Method (FVM) for simulating the energy conversion process in the linear Fresnel reflector (LFR) with a Trapezoidal Cavity Receiver (TCR). Based on the model, firstly, the optical performance of a typical LFR was studied, followed by analyzing its heat transfer characteristics and thermal performance at various conditions. Then, the effects of key parameters were investigated. Finally, a LFR prototype was simulated to illustrate the application of the model. The results indicate that the solar fluxes on the absorber tubes exhibit non-uniform characteristics which would result in the non-uniform temperatures. The annual optical efficiency of 60.1%-44.7% from the equator to N50 degrees and the collector efficiency of 483%-72.0% for the superheating section at normal incidence can be achieved, respectively. Moreover, the heat transfer characteristic study reveals that the radiation loss from the tubes is the dominant, mode and contributes around 81%-87% at typical conditions. Parameter studies indicate that the energy absorbed by the glass which influences the heat loss obviously should be considered in the heat loss study of TCR. And the heat loss from the tubes increases rapidly with the coating emissivity, so the coating with low emissivity should be recommended for the TCR. In addition, the application in the realistic LFR indicates that the present model is an exercisable and useful tool for the LFR. (C) 2016 Elsevier Ltd. All rights reserved.

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