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

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Document Type

Article

Source Title

Journal of Environmental Chemical Engineering

Volume

2

Issue

1

First Page

652

Last Page

664

Publication Date

1-1-2014

Abstract

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.

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Digitial Object Identifier (DOI)

10.1016/j.jece.2013.11.003

Disciplines

Chemical Engineering

Keywords

Cogeneration of electric power and heat

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