The teaching deals with the Theory of Statistics, the Theory of Estimates and the numerical methods in chemical engineering with the aim of training students in data analysis, in modelling chemical processes and in chemical process optimization.
The participation to the training activities is instrumental to:
knowing the basics of the theory of development of chemical processes;
understanding the logical basis which a predictive model relies upon;
giving examples about the application of such models to the chemico-physical processes of the industrial production;
identifying and estimating the main parameters describing the kinetics of a chemical process;
developing process simulation algorithms with deterministic or statistic models (Monte Carlo);
choosing the most suitable algorithm for solving a problem of industrial optimization;
applying numerical discretization criteria to a model containing differential equations.
A basic knowledge of mathematics, chemistry and physics is required.
The course is structured in frontal lessons and exercises carried out by the teacher.
The students having certified disabilities or other specific handicaps are recommended to contact the teacher at the beginning of the course to decide the procedures of both exam and didactic activities, in order to take into account the specific individual necessities and to provide the relevant support in accordance with the didactic objectives.
Fundamentals of theory of applied statistics.
Simulation of stochastic processes. Monte Carlo methods for modelling aggregation, disaggregation, etching and corrosion of a solid phase.
Theory of estimates. Linear and non-linear regression.
Process optimization. Dynamic optimization.
Numerical methods for the solution of algebraic and ordinary differential equations.
Economic aspects of chemical engineering processes. Enterprise - Legal and technical-organizational structure. Investment theory and profitability of a project. Design phases of a project/plant. Project Management - Techniques for monitoring results and budgets.
G. Vicario, R. Levi. Calcolo delle probabilità e statistica per ingegneri. Progetto Leonardo, Bologna 1997.
D.M. Himmelblau, K.B. Bischoff. Process analysis and simulation : deterministic systems.
New York : Wiley, 1968
Ricevimento: By appointment, made by phone (mob. phone: 329 2104532) or by e-mail (andrea.reverberi@unige.it)
ANDREA REVERBERI (President)
MARCO VOCCIANTE (President Substitute)
https://corsi.unige.it/10375/p/studenti-orario
The exam consists of an oral discussion.
The exam aims at checking:
The assessment standards concern the ability to stay on topic, the quality of expression, the logic pattern of the reasoning and the critical reasoning skills.
