Publication

Exergy and Environmental Considerations in Process Integration

Daniel Favrat
1999
Talks

Abstract

Exergetic analysis is derived from the First and Second Laws of thermodynamics is shown to be an excellent tool to analyse and characterize industrial processes. A coherent link to pinch technology is shown which allows the designer to extend design considerations to friction and equipment fabrication losses. Paths to extend the approach to other environmental factors are also indicated. Applications examples linked to Organic Rankine cycles, plaster drying or distillation of chemical products are briefly addressed. New perspectives opened by the so-called environomic optimization approach using recent progress in genetic algorithms are also briefly cited together with results from a cogeneration combined cycle case study.

Official source

https://infoscience.epfl.ch/entities/publication/b65c28d5-b046-4aab-b72b-9f0e4e6d2d65

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Daniel Favrat
1999
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/b65c28d5-b046-4aab-b72b-9f0e4e6d2d65

About this result

Related concepts (32)

Genetic algorithm

In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection. Some examples of GA applications include optimizing decision trees for better performance, solving sudoku puzzles, hyperparameter optimization, causal inference, etc.

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The chemical industry comprises the companies that develop and produce industrial, specialty and other chemicals. Central to the modern world economy, it converts raw materials (oil, natural gas, air, water, metals, and minerals) into industrial and consumer products. The plastics industry contains some overlap, as some chemical companies produce plastics as well as chemicals. Various professionals are involved in the chemical industry including chemical engineers, chemists and lab technicians.

Memetic algorithm

A memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm (GA) or more general evolutionary algorithm (EA). It may provide a sufficiently good solution to an optimization problem. It uses a suitable heuristic or local search technique to improve the quality of solutions generated by the EA and to reduce the likelihood of premature convergence. Memetic algorithms represent one of the recent growing areas of research in evolutionary computation.

Related publications (14)

Exergy and Environmental Considerations in Process Integration

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