Simulation and Economic Evaluation of an Industrial Plant Producing Formalin | Chapter 02 | Simulation and Economic Evaluation of an Industrial Plant Producing Formalin

 

The chemical industry has the goal of generating profits, but the expenses involved in its construction and operation are high. Making bad decisions leads to big losses. In this context, computer simulation becomes fundamental in the development of any project in the chemical industry, from the attempt to optimise equipment to the implementation of a new industrial plant. Simulation allows a consistent and detailed approach to reality. In this work, the economic evaluation of a formalin plant was made. Formalin is the aqueous formaldehyde solution, marketed at 25 to 56% wt. UniSim®Design Suite R390.1 software was used to perform the computer simulation of the plant. The capital and operational costs were estimated using concepts based on reference literature. Economic feasibility was analysed by calculating net present value and internal rate of return, considering two distinct values for the interest rate, 10% and 15%. For the first, the venture was proved feasible and attractive. For the second, the feasibility was not achieved.

 

Author(s)details:-

 

Igor Silva Guimarães
Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil.

 

Luiz Antônio Corrêa Dias
Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil.

 

Fernando B. Mainier
Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil.

 

Please see the book here :- https://doi.org/10.9734/bpi/cbrp/v8/6575

Study on Novel Self-diagnosis at System Level | Chapter 8 | New Visions in Science and Technology Vol. 3

This study proposes a novel technique to self-diagnosis at the system level. The state of the units that are examined by other system units has traditionally been the focus of system self-diagnosis. The proposed method, on the other hand, uses the results of tests performed by a system unit to determine its own state. In many ways, such diagnosis is akin to self-testing because a unit checks its own status, which is a key component of self-testing. Unlike self-testing, the suggested method requires a unit to evaluate itself based on tests done on other system units rather than on itself. Different diagnosis models are studied, each with its own set of testing assignments and faulty assumptions, such as permanent and intermittent faults, as well as hybrid-fault situations. Computer simulation was used to verify the correctness of the diagnosis algorithm for determining the state of the unit. It is commonly assumed that a unit comprises some fault-free subsystem capable of correctly running the diagnosis algorithms for self-testing and self-diagnosis.

Author (S) Details

V. Mashkov
Jan Evangelista Purkyne University in Ustí nad Labem, Ustí nad Labem, Czech Republic.

V. Lytvynenko
Kherson National Technical University, 73008 Kherson, Ukraine.

View Book :- https://stm.bookpi.org/NVST-V3/article/view/37245679