Paul Serban Agachi

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The present paper is aimed to river water quality modelling. A numerical and an analytical model have been developed in order to predict the transport of pollutants in the Romanian Someº River. A novel approach for the analytical modelling offers the opportunity to use variable parameters along the river length. Space dependent model parameters have been(More)
The paper presents the application of nonlinear model predictive control (NMPC) to a simulated industrial fluid catalytic cracking unit (FCCU). A complex dynamic model of the reactor-regenerator-fractionator system is developed and used in the controller. The novelty of the model consists in that besides the complex dynamics of the reactor-regenerator(More)
BACKGROUND The diagnostic performance of biochemical scores and artificial neural network models for portal hypertension and cirrhosis is not well established. AIMS To assess diagnostic accuracy of six serum scores, artificial neural networks and liver stiffness measured by transient elastography, for diagnosing cirrhosis, clinically significant portal(More)
This article reviews the application of Geographic Information System (GIS) technology in the field of decision support systems for water management activities. These systems are particularly important in extreme, therefore dangerous, conditions like floods or draughts. The GIS concepts are contextually reviewed based on their use as spatial database for(More)
Nowadays, the optimal control of a heat integrated industrial plant becomes one of the most important research areas in the chemical industry. There are at least two main reasons why this topic is interesting: first, the reduction of production costs applying the heat integration techniques and second, process optimization through advanced control(More)