Climate change mitigation measures for global net-zero emissions and the roles of CO2 capture and utilization and direct air capture-Reference-Cited by-同舟云学术

Climate change mitigation measures for global net-zero emissions and the roles of CO2 capture and utilization and direct air capture

Published:2021-12 Issue: Volume:2 Page:100057
ISSN:2666-2787
Container-title:Energy and Climate Change
language:en
Short-container-title:Energy and Climate Change

Author:

Akimoto Keigo,Sano Fuminori,Oda Junichiro,Kanaboshi Haruo,Nakano Yuko

Publisher

Elsevier BV

Reference40 articles.

1. On the climate change mitigation potential of CO2 conversion to fuels;Abanades;Energy Environ. Sci.,2017

2. Role of CO2 sequestration by country for global warming mitigation after 2013;Akimoto,2005

3. Estimates of GHG emission reduction potential by country, sector, and cost;Akimoto;Energy Policy,2010

4. Assessment of the emission reduction target of halving CO2 emissions by 2050: macro-factors analysis and model analysis under newly developed socio-economic scenarios;Akimoto;Energy Strat. Rev.,2014

5. Impacts of ride and car-sharing associated with fully autonomous cars on global energy consumptions and carbon dioxide emissions;Akimoto;Mitigation Adaptation Strat. Glob. Change,2020

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Role of negative emission technologies in South Africa's pathway to net zero emissions by 2050;Energy for Sustainable Development;2024-04

2. Climate change mitigation with CCUS - A case study with benchmarking for selected countries in adapting the European Union's Green Deal;International Journal of Greenhouse Gas Control;2024-02

3. Prioritizing Non-Carbon Dioxide Removal Mitigation Strategies Could Reduce the Negative Impacts Associated with Large-Scale Reliance on Negative Emissions;Environmental Science & Technology;2024-01-29

4. Theoretical study of β12 borophene supported metal for electrocatalytic CO2 reduction reaction;Applied Surface Science;2024-01

5. Improved estimation of dark fermentation biohydrogen production utilizing a robust categorical boosting machine-learning algorithm;International Journal of Hydrogen Energy;2024-01