A flexible tool for the multi-attribute evaluation of Lithium-ion batteries

• The paper shows a multi-attribute decision making tool applied to storage systems. • Techno-economic and environmental and supply risk domains are studied. • The technologies are ranked using the Energy Storage Sustainability Index. • The case study focuses on Li-ion batteries with different cathode compositions. • Lithium Iron Phosphate battery performs better in most of the scenarios analyzed. Lithium-ion batteries are among the most advanced electrochemical storage technologies and they are critical to the transition to sustainable energy systems. Despite their maturity, different chemistries are characterized by different technical, economic, environmental, and raw materials supply risks, highlighting the need for a comprehensive assessment. Seven lithium-ion battery chemistries were evaluated according to two domains: the techno-economic domain and the environmental and supply risk domain, and synthesized into an overall index called the Energy Storage Sustainability Index. A flexible multi-attribute evaluation tool, called Sustainable Technology Performance, has been developed based on the Multi-Attribute Value Theory model and the Analytic Hierarchy Process weighting method. The model’s uncertainties are addressed by employing various marginal value functions and scenarios for the weights of the domains in the main simulations, and variation for the input data and a different weighting procedure for the attributes in the five sensitivity analyses conducted. The Lithium Iron Phosphate-Natural Graphite battery emerges as the preferred option, performing better in three out of five scenarios in Simulation 1 and four out of five in Simulation 2 , with high techno-economic scores (0.88 for Simulation 1 and 0.93 for Simulation 2 ) and good environmental and supply risk scores (0.47 for Simulation 1 and 0.6 for Simulation 2 ). Sensitivity analyses show that changing the weighting procedure from AHP to equal weights increases the contribution of attributes where the Lithium Iron Phosphate-Natural Graphite alternative underperforms, such as energy density and resource depletion. Overall, this alternative is preferred in most of the scenarios analyzed (twenty-six over fifty), highlighting its strengths in the techno-economic dimension.

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Publication Details

Journal
Energy Conversion and Management
Published
2024-11-29
DOI
https://doi.org/10.1016/j.enconman.2024.119312
Citations
8
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
1.63
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article

A flexible tool for the multi-attribute evaluation of Lithium-ion batteries

Andrea Mazza, Salvatore Cellura, Stefano P. Corgnati, Ettore Bompard
8 citations
Energy Conversion and Management
Advanced Battery Technologies Research
1.63
article

A flexible tool for the multi-attribute evaluation of Lithium-ion batteries

Andrea Mazza, Salvatore Cellura, Stefano P. Corgnati, Ettore Bompard
article en
8 citations

Abstract

• The paper shows a multi-attribute decision making tool applied to storage systems. • Techno-economic and environmental and supply risk domains are studied. • The technologies are ranked using the Energy Storage Sustainability Index. • The case study focuses on Li-ion batteries with different cathode compositions. • Lithium Iron Phosphate battery performs better in most of the scenarios analyzed. Lithium-ion batteries are among the most advanced electrochemical storage technologies and they are critical to the transition to sustainable energy systems. Despite their maturity, different chemistries are characterized by different technical, economic, environmental, and raw materials supply risks, highlighting the need for a comprehensive assessment. Seven lithium-ion battery chemistries were evaluated according to two domains: the techno-economic domain and the environmental and supply risk domain, and synthesized into an overall index called the Energy Storage Sustainability Index. A flexible multi-attribute evaluation tool, called Sustainable Technology Performance, has been developed based on the Multi-Attribute Value Theory model and the Analytic Hierarchy Process weighting method. The model’s uncertainties are addressed by employing various marginal value functions and scenarios for the weights of the domains in the main simulations, and variation for the input data and a different weighting procedure for the attributes in the five sensitivity analyses conducted. The Lithium Iron Phosphate-Natural Graphite battery emerges as the preferred option, performing better in three out of five scenarios in Simulation 1 and four out of five in Simulation 2 , with high techno-economic scores (0.88 for Simulation 1 and 0.93 for Simulation 2 ) and good environmental and supply risk scores (0.47 for Simulation 1 and 0.6 for Simulation 2 ). Sensitivity analyses show that changing the weighting procedure from AHP to equal weights increases the contribution of attributes where the Lithium Iron Phosphate-Natural Graphite alternative underperforms, such as energy density and resource depletion. Overall, this alternative is preferred in most of the scenarios analyzed (twenty-six over fifty), highlighting its strengths in the techno-economic dimension.

Energy Conversion and ManagementVol. 324
Politecnico di Torino (IT)
Affordable and clean energy
Openalex Percentile: Top 17%
Advanced Battery Technologies Research
1.63
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