Numerical characterization of a highly concentrated solar radiation sensor based on an inverse method. (January 2015)

• Record Type: Journal Article
• Authors: Mongibello, L.; Bianco, N.; Naso, V.; Fucci, R.; Di Somma, M.
• Is Part Of: Solar energy. Volume 111(2015)
• Page Start: 407
• Page End: 417
• Publication Date: 2015-01
• Subjects: Highly concentrated radiative heat flux estimate -- Inverse method -- Numerical simulation -- Sensitivity analysis; Solar energy -- Periodicals; Solar engines -- Periodicals; 621.47
• DOI: 10.1016/j.solener.2014.09.023
• Languages: English
• ISSNs: 0038-092X

Abstract

Highlights: A sensor for the estimate of high radiative heat fluxes is numerically characterized. The radiative heat fluxes are estimated by numerically solving an inverse problem. Temperature values are used as input data in the inverse problem. The Levenberg–Marquardt algorithm is used for the inverse problem resolution. The sensor sensitivity to different parameters is evaluated. Abstract: This paper focuses on the numerical characterization of a new sensor for the measurement of highly concentrated radiative heat fluxes, based on an inverse heat transfer method. The sensor will be coupled to the solar furnace that is being installed at the ENEA Portici Research Center. The highly concentrated radiative heat flux incident on the target surface of the sensor is estimated by implementing the inverse heat transfer method based on the Levenberg–Marquardt algorithm, which permits to compute the radiative boundary condition on the exposed surface of the target by measuring the temperature of its hidden bottom surface. Numerical simulations have been carried out to evaluate the sensor sensitivity to the following parameters: the emissivity of the target surface of the sensor; the synchronization error in the temperature recordings; the uncertainty in temperature measurements; the convection heat transfer coefficient; the misalignment between the axis of the target and the axis of the concentrated solar spot; the uncertainty about the values of the thermo-physical properties of the sensor components materials.