Assessing and enhancing the sustainability of chemical processes is a key challenge for chemical engineering. Sustainability is usually conjugated in three distinct but interconnected dimensions or pillars: economic, environmental, and social. In order to develop a sustainable process, the three pillars should be harmonized. In most cases, these pillars conflict with each other and a compromise may be found by solving a multi-objective optimization (MOO) problem. This paper proposes a solution strategy for the MOO of sustainability in the conceptual design of chemical plants. Two different approaches are analyzed and discussed, based on Pareto's fronts analysis and scalarization technique.

Multi-objective optimization of sustainability criteria in the design of chemical plants

Fabricatore N.;Manca D.
2018-01-01

Abstract

Assessing and enhancing the sustainability of chemical processes is a key challenge for chemical engineering. Sustainability is usually conjugated in three distinct but interconnected dimensions or pillars: economic, environmental, and social. In order to develop a sustainable process, the three pillars should be harmonized. In most cases, these pillars conflict with each other and a compromise may be found by solving a multi-objective optimization (MOO) problem. This paper proposes a solution strategy for the MOO of sustainability in the conceptual design of chemical plants. Two different approaches are analyzed and discussed, based on Pareto's fronts analysis and scalarization technique.
2018
Computer Aided Chemical Engineering
9780444642356
multi-objective optimization; Pareto front; process design; scalarization; sustainability
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1128751
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