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Volume 14
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Volume
Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time
General
Artificial neural networks (ANNs) are being used increasingly to predict water variables. This study offers an alternative approach to quantify the relationship between time of chlorination in potable water (due to convectional treatment procedure) and chlorination by-products concentration...
Use of alternative fuels obtained from renewable sources in Brayton cycles
General
Analysis and simulation of the behaviour of gas turbines for power generation using different nonconventional fuels obtained from different renewable sources are presented. Three biomass-tobiofuel processes are considered: anaerobic digestion of biomass (biogas), biomass gasification (synthesis gas)...
Using an informational entropy-based metric as a diagnostic of flow duration to drive model parameter identification
General
Calibration of rainfall-runoff models is made complicated by uncertainties in data, and by the arbitrary emphasis placed on various magnitudes of the model residuals by most traditional measures of fit. Current research highlights the importance of driving model identification by assimilating...
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