TY - JOUR
T1 - Sustainability Performance Index for Ranking Energy Storage Technologies using Multi-Criteria Decision-Making Model and Hybrid Computational Method
AU - Albawab, Mona
AU - Ghenai, Chaouki
AU - Bettayeb, Maamar
AU - Janajreh, Isam
N1 - Funding Information:
The authors gratefully acknowledge the financial support from the University of Sharjah, Sustainable Energy Development Research Group Operational Grant, Grant Ref. V.C.R.G./R. 1329/2017.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/12
Y1 - 2020/12
N2 - Sustainability performance index for ranking energy storage technologies is presented in this paper. The sustainability performance index is calculated using the Multi-Criteria Decision-Making (MCDM) model and the extended Stepwise Weight Assessment Ratio Analysis (SWARA)/Additive Ratio Assessment (ARAS) hybrid computational method. Five main sustainability criteria and seventeen sub-criteria are used in this analysis. Seven energy storage technologies are selected to test the efficiency and performance of the proposed hybrid method: lead-acid batteries, Li-ion batteries, super capacitors, hydrogen storage, compressed air energy storage, pumped hydro, and thermal energy storage. The best ranking for the energy storage system was obtained for the high degree of utility Qa. The result of the ranking of the selected energy storage technologies is as follows: (1) thermal energy storage (Qa = 1), (2) compressed air energy storage (Qa = 0.990), (3) Li-ion batteries (Qa =0.930), (4) pumped hydro (Qa =0.910), (5) lead acid batteries (Qa =0.885), (6) hydrogen storage (Qa =0.881), and (7) super capacitors (Qa =0.870). A sensitivity analysis was performed by alternating the weights of the main criteria in ten different scenarios to see how sensitive are the results with respect to these weights. The results show that the thermal energy storage and compressed air were alternating between the first and the second ranks (the thermal energy storage was ranked first in six scenarios and the compressed air in four scenarios). The results obtained in this study showed that the integration of the MCDM model and the hybrid SWARA/ARAS method is a powerful tool for the determination of the sustainability indices for ranking the energy storage technologies.
AB - Sustainability performance index for ranking energy storage technologies is presented in this paper. The sustainability performance index is calculated using the Multi-Criteria Decision-Making (MCDM) model and the extended Stepwise Weight Assessment Ratio Analysis (SWARA)/Additive Ratio Assessment (ARAS) hybrid computational method. Five main sustainability criteria and seventeen sub-criteria are used in this analysis. Seven energy storage technologies are selected to test the efficiency and performance of the proposed hybrid method: lead-acid batteries, Li-ion batteries, super capacitors, hydrogen storage, compressed air energy storage, pumped hydro, and thermal energy storage. The best ranking for the energy storage system was obtained for the high degree of utility Qa. The result of the ranking of the selected energy storage technologies is as follows: (1) thermal energy storage (Qa = 1), (2) compressed air energy storage (Qa = 0.990), (3) Li-ion batteries (Qa =0.930), (4) pumped hydro (Qa =0.910), (5) lead acid batteries (Qa =0.885), (6) hydrogen storage (Qa =0.881), and (7) super capacitors (Qa =0.870). A sensitivity analysis was performed by alternating the weights of the main criteria in ten different scenarios to see how sensitive are the results with respect to these weights. The results show that the thermal energy storage and compressed air were alternating between the first and the second ranks (the thermal energy storage was ranked first in six scenarios and the compressed air in four scenarios). The results obtained in this study showed that the integration of the MCDM model and the hybrid SWARA/ARAS method is a powerful tool for the determination of the sustainability indices for ranking the energy storage technologies.
KW - Energy Storage Technologies
KW - Hybrid SWARA/ARAS method
KW - MCDM Model
KW - Sustainability Indices
KW - Sustainable Development
UR - http://www.scopus.com/inward/record.url?scp=85090916702&partnerID=8YFLogxK
U2 - 10.1016/j.est.2020.101820
DO - 10.1016/j.est.2020.101820
M3 - Article
AN - SCOPUS:85090916702
SN - 2352-152X
VL - 32
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 101820
ER -
