Development of a C-H-O symbiosis network during conceptual design via economic, sustainability, and safety metrics

Amr A. Farouk, Mahmoud M. El-Halwagi, Dominic C.Y. Foo, Irene Mei Leng Chew

    Research output: Contribution to journalArticleResearchpeer-review

    2 Citations (Scopus)

    Abstract

    Discharge of industrial wastes constitutes one of the primary threats to the environment. A sustainable approach to handling industrial wastes is the adoption of integration and monetization schemes through the concept of an eco-industrial park (EIP). An EIP involving hydrocarbons is a particular case known as a carbon-hydrogen-oxygen symbiosis network (CHOSYN). Special features of the CHOSYN involve the conversion of wastes into value-added chemicals and the ability to perform multiscale targeting that benchmarks the performance from the atomic scale to large-scale implementation. Economic and mass conservation objectives have been used to guide the design of CHOSYNs. In this work, sustainability and safety are included as part of multicriterion objectives for the design of CHOSYNs. A rigorous and universal model for the optimization of a CHOSYN is developed with economic, sustainability, and safety objectives. An economic framework is used for reconciling the multiple criteria using the safety and sustainability weighted return on investment metric. The solution of the optimization formulation determines which plants participate and the extent of participation, the chemical pathways to convert wastes into value-added chemicals, and the allocation of the products to the users. The solution also reconciles the various design objectives. Subsequently, the proposed model is applied to a case study focusing on glycerol valorization.

    Original languageEnglish
    Pages (from-to)3735-3749
    Number of pages15
    JournalACS Sustainable Chemistry & Engineering
    Volume9
    Issue number10
    DOIs
    Publication statusPublished - 15 Mar 2021

    Keywords

    • atomic targeting
    • eco-industrial park
    • industrial symbiosis
    • multicriterion optimization
    • process integration

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