Title :
A Multi-Objective Process Optimization Procedure under Uncertainty for Sustainable Process Design
Author :
Sun, Li ; Pan, JiPing ; Wang, Anqi
Author_Institution :
Dept. of Chem. Eng., Dalian Univ. of Technol., Dalian
Abstract :
Sustainable chemical process design can be formulated as a multi-objective optimization (MOO) problem covering economic, environmental and societal aspects. Moreover, uncertainties are unavoidable during the process design. So, uncertainties should be involved in the optimization. In this work, authors work on the basis of stochastic programming to deal with uncertainty factors, and integrate MOO deterministic algorithms to identify the optimal process design for the improvement of sustainability from a number of alternatives. The efficacy of the procedure is demonstrated by design of 1-hexene separation process.
Keywords :
chemical engineering computing; indeterminancy; organic compounds; process design; stochastic programming; sustainable development; 1-hexene separation; multiobjective process optimization; stochastic programming; sustainable chemical process design; uncertainty; Algorithm design and analysis; Chemical processes; Design optimization; Dynamic programming; Environmental economics; Power generation economics; Process design; Separation processes; Stochastic processes; Uncertainty;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.591
