A Hybrid Multi-Objective Optimization Framework for Preliminary Process Design Based on Health, Safety and Environmental Impact

• Main Authors: Shin Yee Teh, Kian Boon Chua, Boon Hooi Hong, Alex J. W. Ling, Viknesh Andiappan, Dominic C. Y. Foo, Mimi H. Hassim, Denny K. S. Ng
• Format: Article
• Language: English
• Published: MDPI AG 2019-04-01
• Series: Processes
• Subjects: input-output model; fuzzy optimization; process synthesis; preliminary stage design
• Online Access: https://www.mdpi.com/2227-9717/7/4/200

Due to increasingly stringent legal requirements and escalating environmental control costs, chemical industries have paid close attention to sustainable development without compromising their economic performance. Thus, chemical industries are in need of systematic tools to conduct sustainability assessments of their process/plant design. In order to avoid making costly retrofits at later stages, assessments during the preliminary design stage should be performed. In this paper, a systematic framework is presented for chemical processes at the preliminary design stage. Gross profit, Health Quotient Index (HQI), Inherent Safety Index (ISI) and the Waste Reduction (WAR) algorithm are used to assess the economic performance, health, safety and environmental impact of the process, respectively. The fuzzy optimization approach is used to analyse the trade-off among the four aspects simultaneously, as they often conflict with each other. Deviation between the solution obtained from mathematical optimization model and process simulator is determined to ensure the validity of the model. To demonstrate the proposed framework, a case study on 1, 4-butanediol production is presented.