A hybrid life cycle optimization model for different microalgae cultivation systems
The environmental impacts analyses for the production of microalgal biomass include four key performance indicators: energy, water, carbon and land footprints. This work presents a life cycle optimization (LCO) model for microalgae production, taking into account these criteria for assessing differe...
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oai:animorepository.dlsu.edu.ph:faculty_research-48622021-07-05T08:44:31Z A hybrid life cycle optimization model for different microalgae cultivation systems Tan, J. Nik Sulaiman, N. M. Tan, Raymond Girard R. Aviso, Kathleen B. Promentilla, Michael Angelo B. The environmental impacts analyses for the production of microalgal biomass include four key performance indicators: energy, water, carbon and land footprints. This work presents a life cycle optimization (LCO) model for microalgae production, taking into account these criteria for assessing different cultivation methods and carbon sources. The LCO model is formulated as a multiple objective linear program (MOLP), which is then solved to determine the Pareto optimal solutions. A hybrid approach is then developed where the analytic hierarchy process (AHP) is integrated for determining the weights of the environmental output criteria. This approach enables a unique optimum to be determined for the microalgae system. © 2014 The Authors. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3987 info:doi/10.1016/j.egypro.2014.12.051 Faculty Research Work Animo Repository Algal biofuels Life cycle costing Chemical Engineering Environmental Engineering |
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Algal biofuels Life cycle costing Chemical Engineering Environmental Engineering Tan, J. Nik Sulaiman, N. M. Tan, Raymond Girard R. Aviso, Kathleen B. Promentilla, Michael Angelo B. A hybrid life cycle optimization model for different microalgae cultivation systems |
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The environmental impacts analyses for the production of microalgal biomass include four key performance indicators: energy, water, carbon and land footprints. This work presents a life cycle optimization (LCO) model for microalgae production, taking into account these criteria for assessing different cultivation methods and carbon sources. The LCO model is formulated as a multiple objective linear program (MOLP), which is then solved to determine the Pareto optimal solutions. A hybrid approach is then developed where the analytic hierarchy process (AHP) is integrated for determining the weights of the environmental output criteria. This approach enables a unique optimum to be determined for the microalgae system. © 2014 The Authors. |
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Tan, J. Nik Sulaiman, N. M. Tan, Raymond Girard R. Aviso, Kathleen B. Promentilla, Michael Angelo B. |
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Tan, J. Nik Sulaiman, N. M. Tan, Raymond Girard R. Aviso, Kathleen B. Promentilla, Michael Angelo B. |
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Tan, J. |
title |
A hybrid life cycle optimization model for different microalgae cultivation systems |
title_short |
A hybrid life cycle optimization model for different microalgae cultivation systems |
title_full |
A hybrid life cycle optimization model for different microalgae cultivation systems |
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A hybrid life cycle optimization model for different microalgae cultivation systems |
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A hybrid life cycle optimization model for different microalgae cultivation systems |
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hybrid life cycle optimization model for different microalgae cultivation systems |
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Animo Repository |
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2014 |
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https://animorepository.dlsu.edu.ph/faculty_research/3987 |
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