Fuzzy mixed integer non-linear programming model for the design of an algae-based eco-industrial park with prospective selection of support tenants under product price variability

Aristotle T. Ubando, Alvin B. Culaba, Kathleen B. Aviso, Raymond R. Tan, Joel L Cuello, Denny K S Ng, Mahmoud M. El-Halwagi

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

Eco-industrial parks provide a platform for the application of industrial symbiosis where the synergistic network of companies reuse portions of their by-products to reduce disposed waste, reduce environmental emissions, and improve plant efficiency. However, designing a complex network of material and energy exchanges between companies in an industrial park while satisfying multiple conflicting objectives require a systematic design methodology. In addition, strategic decision-making in an eco-industrial park involves the selection of prospective companies (i.e., support tenants), which complement the existing companies (i.e., anchor tenants). In this study, a fuzzy mixed-integer non-linear programming model is proposed to select prospective support tenants in an eco-industrial park while satisfying the product demand, minimizing the environmental footprint of the eco-industrial park, and also maximizing the annualized profit of each company in the eco-industrial park. A hypothetical but realistic case study involving an algae-based eco-industrial park is used to demonstrate the application of the model. The results demonstrate the selection of the appropriate support tenants for the algae-based eco-industrial park together with the optimal plant configuration. Sensitivity analysis is used to assess the performance of the algae-based eco-industrial park with respect to the changes in prices of the by-products. The developed model thus aid the planners of an eco-industrial park in assessing which among the prospective support tenants would best complements an existing anchor tenant. Furthermore, the model can also identify price negotiation points between tenants for some product streams which may show sensitivity on the plant capacity of each tenant.

Original languageEnglish (US)
Pages (from-to)183-196
Number of pages14
JournalJournal of Cleaner Production
Volume136
DOIs
StatePublished - Nov 10 2016

Fingerprint

Nonlinear programming
Algae
alga
anchor
symbiosis
footprint
sensitivity analysis
Industry
Anchors
decision making
Byproducts
methodology
product
price
Integer
Eco-industrial parks
energy
Complex networks
Sensitivity analysis
Profitability

Keywords

  • Bioenergy
  • Eco-industrial parks
  • Fuzzy set theory
  • Microalgae
  • Mixed-integer non-linear programming

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

Cite this

Fuzzy mixed integer non-linear programming model for the design of an algae-based eco-industrial park with prospective selection of support tenants under product price variability. / Ubando, Aristotle T.; Culaba, Alvin B.; Aviso, Kathleen B.; Tan, Raymond R.; Cuello, Joel L; Ng, Denny K S; El-Halwagi, Mahmoud M.

In: Journal of Cleaner Production, Vol. 136, 10.11.2016, p. 183-196.

Research output: Contribution to journalArticle

Ubando, Aristotle T. ; Culaba, Alvin B. ; Aviso, Kathleen B. ; Tan, Raymond R. ; Cuello, Joel L ; Ng, Denny K S ; El-Halwagi, Mahmoud M. / Fuzzy mixed integer non-linear programming model for the design of an algae-based eco-industrial park with prospective selection of support tenants under product price variability. In: Journal of Cleaner Production. 2016 ; Vol. 136. pp. 183-196.
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