Date of Publication

6-2028

Document Type

Master's Thesis

Degree Name

Bachelor of Science in Chemical Engineering (Honors) - Ladderized

Subject Categories

Chemical Engineering

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Honor/Award

Outstanding Thesis Award

Thesis Advisor

John Frederick D. Tapia

Defense Panel Chair

Kathleen B. Aviso

Defense Panel Member

Michael Angelo B. Promentilla

Luis F. Razon

Abstract (English)

Carbon capture and storage (CCS) plays a vital role in the global transition to a low- carbon energy society, enabling the continued use of fossil fuels until low-carbon energy sources become viable and widely accessible. However, one of the drawbacks is the energy penalty associated with the capture process, requiring compensatory power from renewables to make up for power losses. A potential solution involves bypassing the capture unit during increased electricity demands to recover the generation capacity lost due to capture. This flexible "on/off" mechanism eliminates the requirement of additional generation capacity to compromise the power loss and be economically beneficial by selling more electricity during periods of peak demand. A mixed integer linear program (MILP) model is developed to systematically plan robust CCS retrofit systems of multiple regions with independent energy grids subject to operational adjustments for numerous periods and scenarios. The model considers energy transfer between regions due to insufficient resources to compensate for parasitic power loss in retrofitting capture technologies. The decision for retrofit includes options for flexible and non-flexible capture. Operational adjustments relate to decisions to switch off the flexible capture plants to compensate for the power losses due to capture. In addition to the crisp (non-fuzzy) model, an extended model is developed to account for the trade-offs between economic and environmental sustainability goals using fuzzy max–min aggregation. Two energy systems were used to illustrate the model in a series of four case studies: the first system is an illustrative case based on Tan et al. (2010). The second system is based on realistic data of power plant fleets on Mindanao.

Abstract Format

html

Abstract (Filipino)

None

Abstract Format

html

Language

English

Format

Electronic

Keywords

Carbon sequestration

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Embargo Period

6-2028

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Available for download on Thursday, June 01, 2028

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