Validation of optimization strategies using the linear structured production chains (original) (raw)

A Methodology for Optimization in Multistage Industrial Processes: A Pilot Study

Mathematical Problems in Engineering, 2015

The paper introduces a methodology for optimization in multistage industrial processes with multiple quality criteria. Two ways of formulation of optimization problem and four different approaches to solve the problem are considered. Proposed methodologies were tested first on a virtual process described by benchmark functions and next were applied in optimization of multistage lead refining process.

Analytical optimisation of industrial systems and applications to refineries, petrochemicals

Chemical Engineering Science, 2004

A new method for optimising process networks is presented in this paper. The method uses economic analysis of existing systems based on the value analysis method derived by Sadhukhan (2002) as the basis to derive the optimum network design. Optimising a large scale industrial system (e.g. refineries, petrochemicals) where multiple processes, many material streams and a number of supporting systems (e.g. energy) are involved, is a difficult task to achieve. For such a case, a fundamental, practical and systematic methodology for detailed differential economic analysis (Sadhukhan et al, 2003) of an industrial system at any market and environmental condition can be very useful for achieving its optimal operation.

Strategies for the Optimization of Chemical Processes

Reviews in Chemical Engineering, 1985

This paper presents a concise review of optimization strategies for chemical processes. Four basic areas are covered: flowsheet optimization, discrete optimization for process synthesis, optimal design under uncertainty, and optimization of dynamic systems. These areas have wide application in Process Design and Analysis, and have been the subject of major research efforts that recently have achieved significant progress. In this paper the development of suitable strategies for the efficient solution of these problems is stressed, rather than detailed presentation of numerical algorithms. Basic ideas and concepts behind these strategies are outlined in each section and recent applications are cited. Finally, future research directions are briefly discussed.

Local and global optimisation in raw material processing

HAL (Le Centre pour la Communication Scientifique Directe), 2015

In this paper we are interested in the mine planning. The aims of this paper is to propose a new model of global optimization for bloc extraction and smelting furnace and then evaluate the advantage to use a global model rather than a set of local optimization. In fact, organizing a global optimization between mines extraction site and smelting furnace require a reorganization of the mines planning service and the smelting furnace planning service. Show the advantage of a global optimization approach is the first step of the process of a global optimization. The proposed model is capable of optimizing mining complexes and takes into account the possibility to produce different types of products thanks to production policies dictated by the processing plant.

The CARSO procedure in process optimization

Journal of Chemometrics, 2003

This paper reports the optimization of the operative conditions of an industrial plant, the electrolytic production of zinc by the leaching method, on applying the CARSO procedure, a response surface methodology based on PLS modelling, the peculiarity of which lies in the way the highest response value within the experimental domain is found. The results illustrate the operative ranges of a few key parameters for six different responses.

Editorial of the Research Topic: "Integration and Optimization in the Chemical Process Industry"

Frontiers in Chemical Engineerng, 2022

Process integration and optimization are important areas within process system engineering. It identifies targets and utilizes synergies in the overall production process, and minimizes the consumption of energy, raw materials, and natural resources, while reducing waste production and adverse environmental impacts. Process optimization is used to improve the design and operation of the entire plants or the standalone chemical processes, by maximizing the process performance and minimizing the production cost, using mathematical and computational techniques. Academicians and researchers have developed advanced process integration and optimization techniques, and applied them on a wide range of industrial chemical and related processes. In those applications, the consumption of raw materials, natural resources and the production of wastes should be minimized by designing sustainable processes, and determining the best operating conditions that minimize the environmental impact, investment and operating costs, and exergy destruction

An integrated process optimization model for chemical production at Ibn Zahr

Applied Mathematical Modelling, 1995

In this paper a mathematical optimization model is developedfor several reactors settings. The model integrates several reactors and is stated in a generalform. The model selects the settings for the reactors that maximizes profit subject to operation, selection and environmental constraints. Each setting is determined by a set of operating parameters, which are feed rate, reactor temperature and pressure. The production level and the cost of each setting is determined from the operating parameter and the raw material, labor and fuel cost. It is used to optimize Methyl-Tert-Butyle Ether (MTBE) production at the Ibn Zahr Company in Saudi Arabia. The results in the Ibn Zahr case are consistent and elevated MTBE production.