Disjunctive fuzzy optimisation for planning and synthesis of bioenergy-based industrial symbiosis system

• Main Authors: Ng, Rex T.L., Ng, Denny K.S., Tan, Raymond Girard R., El-Halwagi, Mahmoud M.
• Format: text
• Published: Animo Repository 2014
• Subjects: Cogeneration of electric power and heat; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3774; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4776/type/native/viewcontent/j.jece.2013.11.003
• Institution: De La Salle University

This paper presents a systematic approach for planning and synthesis of bioenergy-based industrial symbiosis (BBIS) which involves biorefineries, existing milling facilities and combined heat and power (CHP) plants, where the processing facilities are managed by different owners. As each owner has its own profit-oriented goals, and thus the concept of industrial symbiosis (IS) is needed to facilitate their cooperation. A novel disjunctive fuzzy optimisation approach is introduced to determine the optimum pathways based on processing plants' declared interests. In cases where any processing plant's interest is not satisfied, that party can elect to withdraw from the BBIS scheme; such decisions are reflected via disjunctive fuzzy optimisation. The optimum network configuration with the maximum economic performance can be determined based on the proposed approach, and individual interests of participating owners are equitably satisfied within mutually agreed bounds. A palm oil industrial case study is used to illustrate the proposed approach. © 2013 Elsevier Ltd.