Future cost-competitive electricity systems and their impact on US CO2 emissions

By A. MacDonald, C. Clack, A. Alexander, A. D. Dunbar, J. Wilczak, Yuanfu Xie. 2016

354 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b502f9db4266bf4023484ccb8cddaba734ee7e07

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Citations in the corpus

Expert elicitation survey on future wind energy costs (2016, background): “Part of the uncertainty in the contribution of wind to the future energy mix comes from uncertainty in its costs [8, 11].”
Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems (2017, background): “Recent work [143] demonstrates the importance of power-flow modeling done at the necessary scales.”
Getting to Zero Carbon Emissions in the Electric Power Sector (2018, background): “Bio, coal CCS, gas CCS, and nuc are selected in most stringent decarbonization scenarios 26 Lenzen et al. 2016 Simulating lowcarbon electricity supply for Australia Applied Energy Australia E O net zero CO2 (renewables only, including biofuels) bio, res. hydro (existing) N Y N 27 MacDonald et al.10 ”
Prosumage of solar electricity: pros, cons, and the system perspective (2017, background): “(2013); for a corresponding US example, see MacDonald et al. (2015). 14 We illustrate this effect for excess power storage installations in our model-based analysis presented in Section 4. A similar reasoning may apply to the provision of security of supply. For example, Neuhoff et al. (2016) argue ”
Identifying barriers to large-scale integration of variable renewable electricity into the electricity market : A literature review of market design (2018, neutral): “This is particularly the case for VRE supply, whose sub-hourly variability can be signi ﬁ cant [88].”
Response to ‘Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems’ (2017, background): “There is plenty of room for error if forecasts prove to underestimate demand growth: an investigation into the United States Energy Information 2 This would involve switching from thermal power plants (average efficiency 35% [101]) to wind and solar generators for all electricity, using heat pumps (”