The role of renewable energy in climate stabilization: results from the EMF27 scenarios
By Gunnar Luderer, Volker Krey, Katherine Calvin, James Merrick, S. Mima, R. Pietzcker, J. Vliet, K. Wada. Climatic Change, 2014
206 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Pollution
View Paper: https://www.semanticscholar.org/paper/25347cce445614e524137f47c3c36fd9e1596ae0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Christian Breyer
- Gunnar Luderer
- Pete Smith
- Felix Creutzig
- Arnulf Grubler
- R. Pietzcker
- W. Lamb
- J. Minx
In Electrical and Electronic Engineering
- D. Bogdanov
- Christian Breyer
- Ayobami Solomon Oyewo
- Maulidi Barasa
- Gregory F. Nemet
- Daniel Stetter
- R. Wiser
- André P. C. Faaij
In Pollution
- D. Bogdanov
- Christian Breyer
- Ayobami Solomon Oyewo
- Maulidi Barasa
- Gregory F. Nemet
- W. Lamb
- J. Minx
- Gunnar Luderer
Citations in the corpus
- How much energy will buildings consume in 2100? A global perspective within a scenario framework (2018, background): “Most of this demand increase will come from electricity, for which many decarbonisation options exist [50].”
- Negative emissions—Part 2: Costs, potentials and side effects (2018, background): “However, recent structured explorations of various socioeconomic contexts, the so-called Shared Socioeconomic Pathways (SSPs) (Riahi et al 2017, O’Neill et al 2017), have shown that NETs use can be restricted to some degree in 1.5 ◦C scenarios if specific socioeconomic conditions are met, such as lo”
- Uncertainty in Carbon Capture and Storage (CCS) deployment projections: a cross-model comparison exercise (2014, unknown): “2 Cumulative CO2 capture until 2100 per model and model type (values between 10-year-time-steps are interpolated using an annual compound growth rate). Benchmark-Tech-450 (a), Low-Renewable-450 (b), Benchmark-Tech-550 (c), and Low-Renewable-550 (d) scenario Climatic Change (2014) 123:461–476 469”
- Impact of the level of temporal and operational detail in energy-system planning models (2016, background): “To decarbonize the energy system, the share of renewable generation is expected to increase significantly, especially in the electricity sector [8].”
- Description of the REMIND Model (Version 1.6) (2015, unknown): “REMIND’s renewable energy potentials often appear higher than the potentials used in other models (Luderer et al. 2014).”
- A cost optimal resolution for Sub-Saharan Africa powered by 100% renewables in 2030 (2018, background): “[62] and its Supplementary Material, it is stated that the 2050 CAPEX assumptions for solar PV and wind energy in Griffin et al.”
- Expert elicitation survey on future wind energy costs (2016, background): “The increasing maturity of wind technology, as well as the scale of the global resource [4], suggests that wind energy might play a significant future role in electricity supply, especially in the context of efforts to reduce greenhouse gas emissions [5-8].”