eprintid: 3172 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/31/72 datestamp: 2023-11-09 15:51:26 lastmod: 2023-11-09 15:51:26 status_changed: 2023-11-09 15:45:09 type: article metadata_visibility: show creators_name: Prihatin, T. creators_name: Mahadzir, S. creators_name: Abdul Mutalib, M.I. title: Modeling and optimization of water-based polygeneration system ispublished: pub note: cited By 2 abstract: The impact of climate change, particularly drought, places an enormous pressure on the synthesis of process systems that use freshwater resources efficiently. This paper presents the synthesis of water-based polygeneration system to minimize freshwater consumption. A comprehensive model is formulated through a superstructure, featuring the possible configurations of simultaneous heat and power generations, re-circulating cooling water system, wastewater treatment options, as well as reaction and separation technologies for chemical production. Process units are modeled using Aspen Hysys 2006. A case study on the synthesis of optimum water polygeneration system is developed for an ethylene glycol production. The superstructure model is a mixed integer non-linear programming problem (MINLP) consisting of 305 equations, 326 variables and 20 binary variables. The objective of the model is to minimize freshwater make-up subject to 85 constraints. The model is subsequently solved using DICOPT++ in GAMS 20.7 with the optimum solution showing nearly 50 savings of freshwater consumption. © 2012 Elsevier B.V. date: 2012 publisher: Elsevier B.V. official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864520213&doi=10.1016%2fB978-0-444-59506-5.50116-4&partnerID=40&md5=7ac2552c16717b86244abae3f007e98b id_number: 10.1016/B978-0-444-59506-5.50116-4 full_text_status: none publication: Computer Aided Chemical Engineering volume: 31 pagerange: 1427-1431 refereed: TRUE issn: 15707946 citation: Prihatin, T. and Mahadzir, S. and Abdul Mutalib, M.I. (2012) Modeling and optimization of water-based polygeneration system. Computer Aided Chemical Engineering, 31. pp. 1427-1431. ISSN 15707946