Nicolae Paraschiv

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A dynamic reactive distillation (RD) column model is developed for highly nonideal systems with potential phase splitting. Dynamic simulations and non-linear dynamic analysis are performed for recovery of acetic acid from waste waters by esterification with n-butanol, which is an interesting alternative to nonreactive separation processes. Two alternative(More)
Obtaining increased performance of complex process control systems is highly dependent of the kind of controller chosen. An example of such process is the distillation process found in chemical and petrochemical industries for which the product quality and energy efficiency are the main objectives. Maintaining the process parameters close to specifications(More)
Extending the microwave frequency measurement from very low to very high frequency requires improvements for the acquisition time. In this paper, a new sampling algorithm is presented with the main purpose to reduce the acquisition time by using a limited number of samples. The adaptive algorithm proposed in this paper computes only a limited number of(More)
Control systems behavior can be analyzed taking into account a large number of parameters: performances, reliability, availability, security. Each control system presents various security vulnerabilities that affect in lower or higher measure its functioning. In this paper the authors present a method to assess the impact of security issues on the systems(More)
This paper presents an automated monitoring solution for the process of transportation crude oil and petroleum products through pipelines. The proposed system has a hierarchical, partially distributed architecture, based on microcontrollers systems and wireless sensors. The system is controlled from the upper level (the dispatcher layer) through a(More)
Advanced control is the most efficient technology available to achieve the objective of any industrial process, namely the reduction of variable costs while maintaining product quality. Some advanced control methods are: model based predictive control, internal model control, adaptive control, fuzzy control, robust control, neural network based control and(More)
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