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

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...

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Main Authors: Ubando, Aristotle T., Culaba, Alvin B., Aviso, Kathleen B., Tan, Raymond Girard R., Cuello, Joel L., Ng, Denny K.S., El-Halwagi, Mahmoud M.
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Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2261
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3260/type/native/viewcontent
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-32602021-08-20T07:29:29Z 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 Girard R. Cuello, Joel L. Ng, Denny K.S. El-Halwagi, Mahmoud M. 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. © 2016 Elsevier Ltd 2016-11-10T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2261 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3260/type/native/viewcontent Faculty Research Work Animo Repository Industrial districts Biomass energy Microalgae Fuzzy sets
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Industrial districts
Biomass energy
Microalgae
Fuzzy sets
spellingShingle Industrial districts
Biomass energy
Microalgae
Fuzzy sets
Ubando, Aristotle T.
Culaba, Alvin B.
Aviso, Kathleen B.
Tan, Raymond Girard 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
description 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. © 2016 Elsevier Ltd
format text
author Ubando, Aristotle T.
Culaba, Alvin B.
Aviso, Kathleen B.
Tan, Raymond Girard R.
Cuello, Joel L.
Ng, Denny K.S.
El-Halwagi, Mahmoud M.
author_facet Ubando, Aristotle T.
Culaba, Alvin B.
Aviso, Kathleen B.
Tan, Raymond Girard R.
Cuello, Joel L.
Ng, Denny K.S.
El-Halwagi, Mahmoud M.
author_sort Ubando, Aristotle T.
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/2261
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3260/type/native/viewcontent
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