The expansion of natural gas infrastructure puts energy transitions at risk

C Kemfert, F Präger, I Braunger, FM Hoffart, H Brauers - Nature Energy, 2022 - nature.com
Whether additional natural gas infrastructure is needed or would be detrimental to achieving
climate protection goals is currently highly controversial. Here we combine five perspectives …

Challenges and opportunities in decarbonizing the US energy system

DJ Arent, P Green, Z Abdullah, T Barnes… - … and Sustainable Energy …, 2022 - Elsevier
Abstract The United States has pledged to develop a 100% carbon-free electric power
system by 2035 and a net-zero-emissions economy by 2050. While important advancements …

On the history and future of 100% renewable energy systems research

C Breyer, S Khalili, D Bogdanov, M Ram… - IEEE …, 2022 - ieeexplore.ieee.org
Research on 100% renewable energy systems is a relatively recent phenomenon. It was
initiated in the mid-1970s, catalyzed by skyrocketing oil prices. Since the mid-2000s, it has …

[HTML][HTML] Job creation during a climate compliant global energy transition across the power, heat, transport, and desalination sectors by 2050

M Ram, JC Osorio-Aravena, A Aghahosseini… - Energy, 2022 - Elsevier
Driven by climate mitigation goals countries around the world are prioritising low-cost
renewables for economic growth and recovery from the aftermath of the global pandemic. It …

Energy storage solutions to decarbonize electricity through enhanced capacity expansion modelling

T Levin, J Bistline, R Sioshansi, WJ Cole, J Kwon… - Nature Energy, 2023 - nature.com
To meet ambitious global decarbonization goals, electricity system planning and operations
will change fundamentally. With increasing reliance on variable renewable energy …

Forecasting renewable energy generation with machine learning and deep learning: Current advances and future prospects

NE Benti, MD Chaka, AG Semie - Sustainability, 2023 - mdpi.com
This article presents a review of current advances and prospects in the field of forecasting
renewable energy generation using machine learning (ML) and deep learning (DL) …

[PDF][PDF] 高比例可再生能源新型电力系统长期规划综述

黎博, 陈民铀, 钟海旺, 马子明, 刘东冉, 何钢 - 中国电机工程学报, 2023 - researchgate.net
大力发展风电, 光伏等可再生能源是实现电力系统低碳转型的重要途径. 由于可再生能源出力
具有波动性与不确定性, 为应对大规模可再生能源并网给电力系统长期规划带来的挑战 …

Quantifying the challenge of reaching a 100% renewable energy power system for the United States

WJ Cole, D Greer, P Denholm, AW Frazier, S Machen… - Joule, 2021 - cell.com
We simulate pathways for achieving up to 100% renewable energy (RE) electric power
systems for the contiguous United States. Under base conditions, the least-cost buildout has …

Decarbonization pathways for the residential sector in the United States

P Berrill, EJH Wilson, JL Reyna, AD Fontanini… - Nature Climate …, 2022 - nature.com
Residential GHG emissions in the United States are driven in part by a housing stock where
onsite fossil combustion is common, home sizes are large by international standards, energy …

[HTML][HTML] Dynamic grid stability in low carbon power systems with minimum inertia

F Ahmed, D Al Kez, S McLoone, RJ Best, C Cameron… - Renewable Energy, 2023 - Elsevier
The power system transition to large penetrations of renewable generation has become a
core target of decarbonisation roadmaps in many countries. However, switching from …