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Andres Mayol
Mechanical Engineering Department, De La Salle University, Manila 0922, Philippines

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Journal article
Published: 04 March 2021 in Energies
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Biofuel production from microalgae biomass has been considered a viable alternative to harmful fossil fuels; however, challenges are faced regarding its economic sustainability. Process integration to yield various high-value bioproducts is implemented to raise profitability and sustainability. By incorporating a circular economy outlook, recirculation of resource flows is maximized to yield economic and environmental benefits through waste minimization. However, previous modeling studies have not looked into the opportunity of integrating productivity reduction related to the continuous recirculation and reuse of resources until it reaches its end of life. In this work, a novel multi-objective optimization model is developed centered on an algal biorefinery that simultaneously optimizes cost and environmental impact, adopts the principle of resource recovery and recirculation, and incorporates the life cycle assessment methodology to properly account for the environmental impacts of the system. An algal biorefinery involving end-products such as biodiesel, glycerol, biochar, and fertilizer was used for a case study to validate the optimization model. The generated optimal results are assessed and further analyzed through scenario analysis. It was seen that demand fluctuations and process unit efficiencies have significant effect on the optimal results.

ACS Style

Celine Solis; Jayne San Juan; Andres Mayol; Charlle Sy; Aristotle Ubando; Alvin Culaba. A Multi-Objective Life Cycle Optimization Model of an Integrated Algal Biorefinery toward a Sustainable Circular Bioeconomy Considering Resource Recirculation. Energies 2021, 14, 1416 .

AMA Style

Celine Solis, Jayne San Juan, Andres Mayol, Charlle Sy, Aristotle Ubando, Alvin Culaba. A Multi-Objective Life Cycle Optimization Model of an Integrated Algal Biorefinery toward a Sustainable Circular Bioeconomy Considering Resource Recirculation. Energies. 2021; 14 (5):1416.

Chicago/Turabian Style

Celine Solis; Jayne San Juan; Andres Mayol; Charlle Sy; Aristotle Ubando; Alvin Culaba. 2021. "A Multi-Objective Life Cycle Optimization Model of an Integrated Algal Biorefinery toward a Sustainable Circular Bioeconomy Considering Resource Recirculation." Energies 14, no. 5: 1416.

Journal article
Published: 21 September 2020 in Sustainability
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Given increasing energy demand and global warming potential, the advancements in bioenergy production have become a key factor in combating these issues. Biorefineries have been effective in converting biomass into energy and valuable products with the added benefits of treating wastewater used as a cultivation medium. Recent developments enable relationships between sewage sludge and microalgae that could lead to higher biomass and energy yields. This study proposes a multi-objective optimization model that would assist stakeholders in designing an integrated system consisting of wastewater treatment systems, an algal-based bioenergy park, and a sludge-based bioenergy park that would decide which processes to use in treating wastewater and sludge while minimizing cost and carbon emissions. The baseline run of the model showed that the three plants were utilized in treating both sludge and water for the optimal answer. Running the model with no storage prioritizes water disposal, while having storage can help produce more energy. Sensitivity analysis was performed on storage costs and demand. Results show that decreasing the demand is directly proportional to the total costs while increasing it can help reduce expected costs through storage and utilizing process capacities. Costs of storage do not cause a huge overall difference in costs and directly follow the change.

ACS Style

Jayne Juan; Carlo Caligan; Maria Garcia; Jericho Mitra; Andres Mayol; Charlle Sy; Aristotle Ubando; Alvin Culaba. Multi-Objective Optimization of an Integrated Algal and Sludge-Based Bioenergy Park and Wastewater Treatment System. Sustainability 2020, 12, 7793 .

AMA Style

Jayne Juan, Carlo Caligan, Maria Garcia, Jericho Mitra, Andres Mayol, Charlle Sy, Aristotle Ubando, Alvin Culaba. Multi-Objective Optimization of an Integrated Algal and Sludge-Based Bioenergy Park and Wastewater Treatment System. Sustainability. 2020; 12 (18):7793.

Chicago/Turabian Style

Jayne Juan; Carlo Caligan; Maria Garcia; Jericho Mitra; Andres Mayol; Charlle Sy; Aristotle Ubando; Alvin Culaba. 2020. "Multi-Objective Optimization of an Integrated Algal and Sludge-Based Bioenergy Park and Wastewater Treatment System." Sustainability 12, no. 18: 7793.

Conference paper
Published: 07 April 2020 in IOP Conference Series: Earth and Environmental Science
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Biofuels derived from microalgae is an emerging technology that can supply fuel demand and alleviate greenhouse gas emissions. However, exclusively producing biofuels from microalgae remains to be commercially unsustainable because of its high investment and operating costs. A promising opportunity to address this are algal bio-refineries. Nonetheless, there is still a need to verify the environmental sustainability of this system along its entire process chain, from raw material acquisition to end-of-life. This study utilizes a life-cycle perspective approach to assess the sustainability of the algal bio-refinery and developed environmental impact prediction model using artificial intelligence, particularly adaptive neuro fuzzy inference system. Results will indicate the environmental impacts of a bio-refinery system identifying its major hotspots on different environmental impact categories. Results show that in the investigated proposed algal bio-refinery, the transesterification process had a huge contribution on the overall environmental impact having over 51.5 % of the total weight. In addition, ANFIS results showed the correlation of input parameters with respect to the environmental impact of the system. The model also indicated that there is a perfect correlation between the two parameters. The model and its accuracy should be further validated with the use of real data.

ACS Style

A P Mayol; J L G San Juan; E Sybingco; A Bandala; E Dadios; A T Ubando; A B Culaba; W H Chen; J S Chang. Environmental impact prediction of microalgae to biofuels chains using artificial intelligence: A life cycle perspective. IOP Conference Series: Earth and Environmental Science 2020, 463, 1 .

AMA Style

A P Mayol, J L G San Juan, E Sybingco, A Bandala, E Dadios, A T Ubando, A B Culaba, W H Chen, J S Chang. Environmental impact prediction of microalgae to biofuels chains using artificial intelligence: A life cycle perspective. IOP Conference Series: Earth and Environmental Science. 2020; 463 ():1.

Chicago/Turabian Style

A P Mayol; J L G San Juan; E Sybingco; A Bandala; E Dadios; A T Ubando; A B Culaba; W H Chen; J S Chang. 2020. "Environmental impact prediction of microalgae to biofuels chains using artificial intelligence: A life cycle perspective." IOP Conference Series: Earth and Environmental Science 463, no. : 1.