Solar energy collection and storage - Solar Energy Sciences and Engineering Applications - page 144

the computing resources required to successfully undertake the latter have become
widely available.
To represent insolation, ambient temperature and load characteristics in stochastic
simulations, Markov chain models can be produced from several years hour-by-hour
data for a specific location. Though the transition probability matrices would give
the long-term system behaviour, the technique has yet to be established in a software
environment that would render it a practical proposition for use in system design.
A variety of detailed hour-by-hour simulation models are available to determine
the outputs of systems with differing layouts, component specifications and control
regimes (Klein et al., 1996). Either an overarching optimisation algorithm or multiple
simulations are required to ascertain an economically optimal combination of system
components. To determine economically optimum designs for solar industrial process
heat systems artificial intelligence methods have be employed.
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