Page 183 - Design of Solar Thermal Power Plants
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168         3. GENERAL DESIGN OF A SOLAR THERMAL POWER PLANT

               There are two basic methods to establish the mathematical model. One
            is the mechanism analysis method, which is to establish a model by
            utilizing modeling information or prerequisite provided by modeling
            assumptions on the basis of the analysis on the internal mechanism of
            matters; it is normally referred to as the white box, such as the energy
            balance equation and thermal and mass transfer theory. The other one is
            the system identification method, which is to establish a model by uti-
            lizing modeling assumptions or actual input and output information of
            matter system offered to system test data while being absolutely ignorant
            of the internal mechanism of system; it is normally referred to as the black
            box. According to different principles, model identification methods can
            be summarized into four categories: (1) the least-square method,
            including the least-square method, the extended least-square method,
            auxiliary variable method and the generalized least-square method; (2)
            gradient correction parameter identification method, such as stochastic
            approximation method; (3) probability density approximation parameter
            identification method, such as the maximum likelihood method; (4) new
            methods that have been recently developed, such as the blur identifica-
            tion method, neural network identification method, wavelet identification
            method and inheritance identification method.
               To sum up, thermal performance test model of solar collector is to
            establish the mechanism model according to the energy balance theory
            and heat-transfer principle, and identify the undetermined parameters of
            the model by applying the least-square method; it belongs to a grey box
            model. Such test model based on empirical methods is deemed to be able
            to generate highly precise results with the respective range of applied
            parameters.

            3.3.3.2 Assumed Conditions of Dynamic Test Model
               Dynamic test model of parabolic trough solar collector shall satisfy the
            following assumptions.
            1. Based on the requirement of ASHRAE 93 standard on volume flow
               of heat-transfer fluid being within  2% of the set value during the
               test, according to the dynamic test model assumption, volume flow
               variation of synthetic oil passing through the parabolic trough
               collector within the test period does not exceed  2% of the mean
               value of the period. However, considering that density variation of
               synthetic oil within the application temperature normally exceeds
               10%, such as the density variation of synthetic oil applied under
               Experimental Conditions of this research, which is shown in
               Fig. 3.26. Therefore, mass flow of synthetic oil passing through the
               parabolic trough collector within the test period is assumed to be
               within  20% of the mean value without any intensive fluctuation of
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