The Effect of Markovian and Discrete-Climate Assumptions on the Performance Analysis of Solar Heating Systems

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Abstract
Analysis of the performance of a solar heating system is considered by means of a first-order Markov chain model for climatic and thermal-balance conditions. Computational limitations require extremely restrictive modeling for the climate, involving constant ambient temperature and two-valued discretization of insolation. Despite the restrictiveness of the assumptions, the results closely match those from dynamic simulations of system performance. Abstract Analysis of the performance of a solar heating system is considered by means of a first-order Markov chain model for climatic and thermal-balance conditions. Computational limitations require extremely restrictive modeling for the climate, involving constant ambient temperature and two-valued discretization of insolation. Despite the restrictiveness of the assumptions, the results closely match those from dynamic simulations of system performance.

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