Carbon-reduction potential of electrification on China's railway transport: An analysis of three possible future scenarios
| العنوان: | Carbon-reduction potential of electrification on China's railway transport: An analysis of three possible future scenarios |
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| المؤلفون: | Felix Schmid, Stephen Kent, Xueyi Xu |
| المصدر: | Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 235:226-235 |
| بيانات النشر: | SAGE Publications, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 010504 meteorology & atmospheric sciences, Mechanical Engineering, 0211 other engineering and technologies, Environmental engineering, chemistry.chemical_element, 02 engineering and technology, 01 natural sciences, Reduction (complexity), Electricity generation, Electrification, chemistry, Greenhouse gas, Environmental science, 021108 energy, Scenario analysis, Energy structure, China, Carbon, 0105 earth and related environmental sciences |
| الوصف: | China's national strategy identifies railway electrification as one of the principal means of reducing carbon emissions and optimising the energy structure of transportation in the country. Here, the authors investigate the carbon-reduction potential of rail electrification in China and present a model to estimate the CO2 emissions under three possible future scenarios. These scenarios differ in their contribution to railway transport in China's transportation market. The authors also consider the effect of potential improvements in the country's electricity generation mix. The results demonstrate that railway electrification using the current energy generation mix can reduce carbon emissions by 8.9%. However, using a generation mix similar to that of the UK can help achieve a maximum reduction of carbon emissions of 65.4%. |
| تدمد: | 2041-3017 0954-4097 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::f4941766c64b26a3607b41ea16b84aee https://doi.org/10.1177/0954409720921989 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........f4941766c64b26a3607b41ea16b84aee |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20413017 09544097 |
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