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Abstract The Paris Agreement does not only stipulate to limit the global average temperature increase to well below 2 °C, it also calls for ‘making finance flows consistent with a pathway towards low greenhouse gas emissions’. Consequently, there is an urgent need to understand the implications of climate targets for energy systems and quantify the associated investment requirements in the coming decade. A meaningful analysis must however consider the near-term mitigation requirements to avoid the overshoot of a temperature goal. It must also include the recently observed fast technological progress in key mitigation options. Here, we use a new and unique scenario ensemble that limit peak warming by construction and that stems from seven up-to-date integrated assessment models. This allows us to study the near-term implications of different limits to peak temperature increase under a consistent and up-to-date set of assumptions. We find that ambitious immediate action allows for limiting median warming outcomes to well below 2 °C in all models. By contrast, current nationally determined contributions for 2030 would add around 0.2 °C of peak warming, leading to an unavoidable transgression of 1.5 °C in all models, and 2 °C in some. In contrast to the incremental changes as foreseen by current plans, ambitious peak warming targets require decisive emission cuts until 2030, with the most substantial contribution to decarbonization coming from the power sector. Therefore, investments into low-carbon power generation need to increase beyond current levels to meet the Paris goals, especially for solar and wind technologies and related system enhancements for electricity transmission, distribution and storage. Estimates on absolute investment levels, up-scaling of other low-carbon power generation technologies and investment shares in less ambitious scenarios vary considerably across models. In scenarios limiting peak warming to below 2 °C, while coal is phased out quickly, oil and gas are still being used significantly until 2030, albeit at lower than current levels. This requires continued investments into existing oil and gas infrastructure, but investments into new fields in such scenarios might not be needed. The results show that credible and effective policy action is essential for ensuring efficient allocation of investments aligned with medium-term climate targets.
energy investments, 330, Science, QC1-999, Energy / Geological Survey Netherlands, Paris Agreement, Environmental technology. Sanitary engineering, 333, Agreement, mitigation policies, integrated assessment modelling, SDG 3 - Good Health and Well-being, Fachgruppe Volkswirtschaftslehre, SDG 13 - Climate Action, GE1-350, SDG 7 - Affordable and Clean Energy, Integrated assessment modelling, TD1-1066, General Environmental Science, Renewable Energy, Sustainability and the Environment, Mitigation policies, Physics, Energy investments, Q, Public Health, Environmental and Occupational Health, 600, climate policy, Environmental sciences, Climate policy, CLIMATE POLICY, ENERGY INVESTMENTS, INTEGRATED ASSESSMENT MODELLING, MITIGATION POLICIES, PARIS AGREEMENT, ddc:690, ddc: ddc:333
energy investments, 330, Science, QC1-999, Energy / Geological Survey Netherlands, Paris Agreement, Environmental technology. Sanitary engineering, 333, Agreement, mitigation policies, integrated assessment modelling, SDG 3 - Good Health and Well-being, Fachgruppe Volkswirtschaftslehre, SDG 13 - Climate Action, GE1-350, SDG 7 - Affordable and Clean Energy, Integrated assessment modelling, TD1-1066, General Environmental Science, Renewable Energy, Sustainability and the Environment, Mitigation policies, Physics, Energy investments, Q, Public Health, Environmental and Occupational Health, 600, climate policy, Environmental sciences, Climate policy, CLIMATE POLICY, ENERGY INVESTMENTS, INTEGRATED ASSESSMENT MODELLING, MITIGATION POLICIES, PARIS AGREEMENT, ddc:690, ddc: ddc:333
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). | 49 | |
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% |