Date of Publication
3-2023
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Chemical Engineering
Subject Categories
Chemical Engineering | Engineering
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Thesis Advisor
Joseph R. Ortenero
Raymond R. Tan
Defense Panel Chair
Angelo Earvin S. Choi
Defense Panel Member
Kathleen B. Aviso
Luis F. Razon
Abstract/Summary
With the ever-increasing demand for energy due to urbanization and industrialization, energy storage technologies (ESTs) are continuously being developed and integrated with sustainable energy sources as it allows for improved reliability, stability, and security of power supply. ESTs come in a varied selection of different types, applications, and attributes. An EST can be classified based on what mode it uses in storing energy. Currently, there is no EST that dominates in all criteria of energy storage. As such, it has become important to determine which ESTs are the best overall, specifically, in stationary power application. This study developed a methodology to rank various ESTs using multiple attribute decision-making methods (MADM), notably a hybrid AHP (Analytical Hierarchy Process) and VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method, which can greatly narrow down selections to determine the most appropriate technology. AHP is used to determine weights associated with each attribute of ESTs obtained from a survey of experts in the discipline. Of the tested criteria, efficiency and cycle life obtained the highest weights of 0.2384 and 0.2322, respectively, from a pairwise comparison of the attributes. VIKOR is then implemented to rank ESTs for the different attributes such as power capacity, power density, energy density, cycle efficiency, storage lifetime, power capital cost, and energy capital cost. The top rank technologies based on this methodology are as follows: supercapacitor > flywheel > pumped hydro > lithium-ion. Supercapacitor dominated other technologies in cycle efficiency, storage lifetime, power capacity, and power density. Technology readiness level and environmental impact could be incorporated in future studies to cover other aspects of the technologies. This study demonstrates the potential of hybrid AHP-VIKOR as a guide to researchers and decision-makers in selecting the appropriate EST given competing performance in different criteria.
Abstract Format
html
Language
English
Format
Electronic
Keywords
energy storage; fuzzy decision making
Recommended Citation
Cruzat, R. M., Fojas, J. R., Villena, E. S., & Uy, M. O. (2023). Ranking energy storage technologies using vikor and analytical hierarchy process (AHP). Retrieved from https://animorepository.dlsu.edu.ph/etdb_chemeng/26
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Embargo Period
8-24-2023
