An Analysis Method for Operations of Hot Water Heaters by Artificial Neural Networks

摘要

Authors tried to apply an Artificial Neural Network (ANN) toestimation of state of building systems. The systems used in this study weregas combustion water heaters. Empirical equations to estimate gasconsumption from measureble properies such as exhaust gas temperature andelectric current were obtained from experiments. Some operational modes,which were hot water supply, additional combustion to keep watertemperature in bathtub, and anti-frozen heater for plumbing, were needed tobe identified. Electric currents, temperature of supply water and exhaust gashad been measured as operational indices. ANN was applied to identifymodes automatically using learning algorism. The modes were porperlyidentified and gas consumption was estimated in practical accuracy.