Development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system

The sole production of biofuels from microalgae poses economic challenges. Hence, the simultaneous production of various bioenergy and biochemical as co-products with algal biofuels makes it economically feasible. In order to synthesize an integrated design of multiple product system using microalga...

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Main Author: Ubando, Aristotle T.
Format: text
Language:English
Published: Animo Repository 2014
Online Access:https://animorepository.dlsu.edu.ph/etd_doctoral/398
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_doctoral-13972024-08-14T06:59:18Z Development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system Ubando, Aristotle T. The sole production of biofuels from microalgae poses economic challenges. Hence, the simultaneous production of various bioenergy and biochemical as co-products with algal biofuels makes it economically feasible. In order to synthesize an integrated design of multiple product system using microalgal feedstock, the concept of microalgal multifunctional bioenergy system (MMBS) was proposed. This dissertation focused on the development of a fuzzy optimization methodology for the systematic design of an MMBS with varying design objectives. Three thematic issues were presented in the conceptual design of an MMBS: 1) multi-criteria evaluation of varying cultivation systems, 2) multi-objective performance evaluation of cultivation systems in an MMBS, and 3) emphasis in the reduction of carbon footprint. In addressing issue 1, a stochastic analytic hierarchy process decision framework was established in selecting a suitable cultivation system for the sustainable production of biofuels. In addressing issue 2, two fuzzy linear programming (FLP) model were developed to assess the optimal performance of varying cultivation system in an MMBS and to design an algal polygeneration supply-chain across multiple regions. In addressing issue 3, a fuzzy mixed-integer linear programming (FMILP) model was established in selecting the optimal thermochemical process for the MMBS for negative carbon emission and a fuzzy fractional programming (FFP) model was developed to simultaneously design an MMBS given a carbon footprint allocation dictated by the customer. The results showed that flat-panel photobioreactor and the raceway pond were the preferred cultivation system for conservative (risk-averse) scenarios and optimistic (risk-inclined) scenarios, respectively. Furthermore, a conservative scenario in selecting a cultivation system together with slow pyrolysis was preferred for the optimal performance of the MMBS. Future work would involve the design of an MMBS producing high-valued products such as algal meals and nutraceuticals together with the algal biofuels as co-product. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_doctoral/398 Dissertations English Animo Repository
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
language English
description The sole production of biofuels from microalgae poses economic challenges. Hence, the simultaneous production of various bioenergy and biochemical as co-products with algal biofuels makes it economically feasible. In order to synthesize an integrated design of multiple product system using microalgal feedstock, the concept of microalgal multifunctional bioenergy system (MMBS) was proposed. This dissertation focused on the development of a fuzzy optimization methodology for the systematic design of an MMBS with varying design objectives. Three thematic issues were presented in the conceptual design of an MMBS: 1) multi-criteria evaluation of varying cultivation systems, 2) multi-objective performance evaluation of cultivation systems in an MMBS, and 3) emphasis in the reduction of carbon footprint. In addressing issue 1, a stochastic analytic hierarchy process decision framework was established in selecting a suitable cultivation system for the sustainable production of biofuels. In addressing issue 2, two fuzzy linear programming (FLP) model were developed to assess the optimal performance of varying cultivation system in an MMBS and to design an algal polygeneration supply-chain across multiple regions. In addressing issue 3, a fuzzy mixed-integer linear programming (FMILP) model was established in selecting the optimal thermochemical process for the MMBS for negative carbon emission and a fuzzy fractional programming (FFP) model was developed to simultaneously design an MMBS given a carbon footprint allocation dictated by the customer. The results showed that flat-panel photobioreactor and the raceway pond were the preferred cultivation system for conservative (risk-averse) scenarios and optimistic (risk-inclined) scenarios, respectively. Furthermore, a conservative scenario in selecting a cultivation system together with slow pyrolysis was preferred for the optimal performance of the MMBS. Future work would involve the design of an MMBS producing high-valued products such as algal meals and nutraceuticals together with the algal biofuels as co-product.
format text
author Ubando, Aristotle T.
spellingShingle Ubando, Aristotle T.
Development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system
author_facet Ubando, Aristotle T.
author_sort Ubando, Aristotle T.
title Development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system
title_short Development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system
title_full Development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system
title_fullStr Development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system
title_full_unstemmed Development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system
title_sort development of a fuzzy optimization methodology for the systematic design of a microalgal multifunctional bioenergy system
publisher Animo Repository
publishDate 2014
url https://animorepository.dlsu.edu.ph/etd_doctoral/398
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