Paul Serban Agachi

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The present research has two main objectives (1) to build two models for concentration prediction in a stream subject to a pollutant release and (2) to investigate options for estimating the parameters of the models. The models rely on the fundamental advection–dispersion equation and were developed, calibrated and evaluated using tracer data from(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)
The first part of this work focuses on the implementation of a modified Activated Sludge Model No. 3 in the Benchmark Simulation Model No. 1. The mathematical model includes two additional processes that describe the direct growth of the heterotrophic biomass on readily biodegradable substrate, in both anoxic and oxic conditions. For a better representation(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 reactorregenerator system(More)
This paper presents the comparison of four control strategies for the A/O WWTP configuration for simultaneous C, N and P removal. The control strategies: i) external COD-P control; ii) external recycle flow-P control; iii) nitrate control in the last anoxic reactor; iv) ammonia control in the last aerobic reactor, were combined with other common control(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)
Presently, many control systems are built in decentralized structure using a large number of simple single-input single-output (SISO) controllers enabling a stable operation of most unit operations. However, this approach is not the optimal control solution because, in these structures the subsystems of a plant do not communicate between them even if they(More)