Multi-Objective Optimization of an Integrated Algal and Sludge-Based Bioenergy Park and Wastewater Treatment System

Jayne Lois San Juan, Carlo James Caligan, Maria Mikayla Garcia, Jericho Mitra, Andres Philip Mayol, Charlle Sy, Aristotle Ubando and Alvin Culaba
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Jayne Lois San Juan: Industrial Engineering Department, De La Salle University, Manila 0922, Philippines
Carlo James Caligan: Industrial Engineering Department, De La Salle University, Manila 0922, Philippines
Maria Mikayla Garcia: Industrial Engineering Department, De La Salle University, Manila 0922, Philippines
Jericho Mitra: Industrial Engineering Department, De La Salle University, Manila 0922, Philippines
Andres Philip Mayol: Center for Engineering and Sustainable Development Research, De La Salle University, Manila 0922, Philippines
Charlle Sy: Industrial Engineering Department, De La Salle University, Manila 0922, Philippines
Aristotle Ubando: Center for Engineering and Sustainable Development Research, De La Salle University, Manila 0922, Philippines
Alvin Culaba: Center for Engineering and Sustainable Development Research, De La Salle University, Manila 0922, Philippines

Sustainability, 2020, vol. 12, issue 18, 1-22

Abstract: 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.

Keywords: multi-objective optimization; bioenergy; biomass; microalgae; sludge; wastewater (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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