Life cycle analysis of batteries using economic input-output analysis

Author(s):  
E. Cobas-Flores ◽  
C.T. Hendrickson ◽  
L.B. Lave ◽  
F.C. McMichael
2019 ◽  
Vol 2 (2) ◽  
pp. 118-130
Author(s):  
Muhammad Indra al Irsyad ◽  
Anthony Halog ◽  
Rabindra Nepal ◽  
Deddy P. Koesrindartoto

Climate change policy often contradicts the least-cost objective of electricity generation in developing countries. The objective of our study is to propose electricity generation mixes that can meet emission reduction targets in Indonesia. We estimate the optimal generation mix, costs, and emissions from three scenarios, namely existing power plant planning, and 11% and 14% emission reductions in Indonesia’s electricity sector. The estimations are based on linear programming, input-output analysis, and life-cycle analysis, integrated into an agent-based modeling (ABM) platform. The simulation results confirm the existing power plant planning, which is dominated by coal-based power plants, as the lowest-cost scenario in the short-term; however, this scenario also produces the highest emissions. Emission reduction scenarios have lower emissions due to a higher share of renewables and, therefore, the Indonesian electricity system is robust from fossil fuel price increases. In the long-term, costs incurred in the emission reduction scenarios will be lower than electricity generation costs under the existing power plant planning. Our findings should be a basis for re-evaluating energy policies, power plant planning, and the research agenda in Indonesia. Keyword: linear programming, agent-based modelling (ABM), input-output analysis, life-cycle analysis


2017 ◽  
Vol 29 ◽  
pp. 75-81 ◽  
Author(s):  
Alexandra Marques ◽  
Francesca Verones ◽  
Marcel TJ Kok ◽  
Mark AJ Huijbregts ◽  
Henrique M Pereira

2019 ◽  
Vol 25 (12) ◽  
pp. 2432-2450 ◽  
Author(s):  
Antoine Beylot ◽  
Sara Corrado ◽  
Serenella Sala

Abstract Purpose Trade is increasingly considered a significant contributor to environmental impacts. The assessment of the impacts of trade is usually performed via environmentally extended input–output analysis (EEIOA). However, process-based life cycle assessment (LCA) applied to traded goods allows increasing the granularity of the analysis and may be essential to unveil specific impacts due to traded products. Methods This study assesses the environmental impacts of the European trade, considering two modelling approaches: respectively EEIOA, using EXIOBASE 3 as supporting database, and process-based LCA. The interpretation of the results is pivotal to improve the robustness of the assessment and the identification of hotspots. The hotspot identification focuses on temporal trends and on the contribution of products and substances to the overall impacts. The inventories of elementary flows associated with EU trade, for the period 2000–2010, have been characterized considering 14 impact categories according to the Environmental Footprint (EF2017) Life Cycle Impact Assessment method. Results and discussion The two modelling approaches converge in highlighting that in the period 2000–2010: (i) EU was a net importer of environmental impacts; (ii) impacts of EU trade and EU trade balance (impacts of imports minus impacts of exports) were increasing over time, regarding most impact categories under study; and (iii) similar manufactured products were the main contributors to the impacts of exports from EU, regarding most impact categories. However, some results are discrepant: (i) larger impacts are obtained from IO analysis than from process-based LCA, regarding most impact categories, (ii) a different set of most contributing products is identified by the two approaches in the case of imports, and (iii) large differences in the contributions of substances are observed regarding resource use, toxicity, and ecotoxicity indicators. Conclusions The interpretation step is crucial to unveil the main hotspots, encompassing a comparison of the differences between the two methodologies, the assumptions, the data coverage and sources, the completeness of inventory as basis for impact assessment. The main driver for the observed divergences is identified to be the differences in the impact intensities of goods, both induced by inherent properties of the IO and life cycle inventory databases and by some of this study’s modelling choices. The combination of IO analysis and process-based LCA in a hybrid framework, as performed in other studies but generally not at the macro-scale of the full trade of a country or region, appears a potential important perspective to refine such an assessment in the future.


Author(s):  
Manuel Rama ◽  
Eduardo Entrena-Barbero ◽  
Ana Cláudia Dias ◽  
María Teresa Moreira ◽  
Gumersindo Feijoo ◽  
...  

1998 ◽  
Author(s):  
Elisa Cobas-Flores ◽  
Lester B. Lave ◽  
Chris T. Hendrickson ◽  
Francis C. McMichael ◽  
Alberto Bustani

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