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Modeling the Parameters of a Cascaded Peltier Module using Neural Network

The cascaded Peltier modules are used as high efficiency thermoelectric coolers, based on their work on the Peltier effect. However, they can also be used as thermoelectric power generators using the Seebeck effect. The aim of the present paper is to present a model of cascaded Peltier module working in generation mode using a Neural Network. Real experiment has been carried out – a thermoelectric generator was designed and the generated e.m.f. E was determined depending on the temperature difference ΔТ applied. The data obtained were used to train the Neural Network and to predict the generated voltage E by the cascaded module.