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Global material requirements for the energy transition. An exergy flow analysis of decarbonisation pathways

Moving towards a low-carbon economy will imply a considerable increase in the deployment of green technologies, which will in turn increase the demand of certain raw materials. In this paper, the material requirements for 2050 scenarios are assessed in terms of exergy to analyze the impact in natural resources in each scenario and identify which technologies are going to demand more resources. Renewable energy technologies are more mineral intensive than current energy sources. Using the International Energy Agency scenarios, from 2025 to 2050, total raw material demand is going to increase by 30%, being the transport sector the one that experiences the highest increase. Aluminum, iron, copper and potassium are those elements that present a higher share of the material needs for green technologies. Besides, there are five elements that experience at least a six-fold increase in demand in that period: cobalt, lithium, magnesium, titanium and zinc. Comparing those results with Greenpeace's AE [R] scenario, which considers a 100% renewable supply by 2050, this increase is even higher. Therefore, avoiding the dependency on fossil fuels will imply to accept the dependency on raw materials.
- University of Zaragoza Spain
- National Polytechnic School Ecuador
- National Technical University Ecuador
- National Polytechnic School Ecuador
- National Technical University Ecuador
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).96 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
