Krisztina Cziner

Process evaluation and synthesis by analytic hierarchy process combined with genetic optimization

Abstract The Analytic Hierarchy Process is a known systematic approach to solve process design problems by structuring decisions hierarchically. The extension of this method presented in the paper is a combination of the Analytic Hierarchy Process with genetic algorithm. The technique is applied to a separation process design problem shown as a case study. The method has been developed for supporting multicriteria decision making and optimization by allowing inclusion of both economic and sustainability aspects into the conceptual process design.

Multicriteria design of separation sequences by including HSE criteria and uncertainty

Abstract In this paper optimal separation sequence selection problem under uncertainty of feed compositions is solved by the combination of Analytic Hierarchy Process, genetic algorithm and stochastic simulation. The criteria used for multicriteria process evaluation are cost, environmental aspects, safety and occupational health.

Modelling at Different Stages of Process Life-Cycle

Abstract The role of models in process development is discussed in the paper. Scientists are developing more and more impressive results in computer aided process engineering and that way generating new possibilities. In spite of that, there exist, at least in most areas of chemical and process industries, series difficulties when models area applied in practice. Such difficulties are described with two industrial examples of process development projects. Requirements for models and modelling are discussed from then viewpoint of practical process development. An attempt is made to suggest such further research areas in computer aided process engineering, which would reduce tha gap between the theoretical developments and practical application in the field.