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2022
DOI: 10.1038/s41467-021-27671-0
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Assessing the energy transition in China towards carbon neutrality with a probabilistic framework

Abstract: A profound transformation of China’s energy system is required to achieve carbon neutrality. Here, we couple Monte Carlo analysis with a bottom-up energy-environment-economy model to generate 3,000 cases with different carbon peak times, technological evolution pathways and cumulative carbon budgets. The results show that if emissions peak in 2025, the carbon neutrality goal calls for a 45–62% electrification rate, 47–78% renewable energy in primary energy supply, 5.2–7.9 TW of solar and wind power, 1.5–2.7 PW… Show more

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Cited by 223 publications
(119 citation statements)
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References 47 publications
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“…Such a framework is the Swiss TIMES Energy systems Model (STEM) 20 , with rich techno-economic details and sectoral interdependencies supported by state-of-the-art technology assessment. While TIMES-based frameworks are widely used for assessing decarbonisation pathways [21][22][23] , STEM includes unique features identi ed as important in literature when assessing the energy transition 19 : long-time horizon, high temporal resolution, consumer segmentation, grids topology, unit commitment, energy and ancillary services markets, demand shifts, variability of renewables representation, age structures of assets, endogenous load and demand curves.…”
Section: Mainmentioning
confidence: 99%
See 1 more Smart Citation
“…Such a framework is the Swiss TIMES Energy systems Model (STEM) 20 , with rich techno-economic details and sectoral interdependencies supported by state-of-the-art technology assessment. While TIMES-based frameworks are widely used for assessing decarbonisation pathways [21][22][23] , STEM includes unique features identi ed as important in literature when assessing the energy transition 19 : long-time horizon, high temporal resolution, consumer segmentation, grids topology, unit commitment, energy and ancillary services markets, demand shifts, variability of renewables representation, age structures of assets, endogenous load and demand curves.…”
Section: Mainmentioning
confidence: 99%
“…Such a framework is the Swiss TIMES Energy systems Model (STEM) 20 , with rich techno-economic details and sectoral interdependencies supported by state-of-the-art technology assessment. While TIMES-based frameworks are widely used for assessing decarbonisation pathways [21][22][23] , STEM includes unique features identi ed as important in literature when assessing the energy transition 19 : long-time horizon, high temporal resolution, consumer segmentation, grids topology, unit commitment, energy and ancillary services markets, demand shifts, variability of renewables representation, age structures of assets, endogenous load and demand curves.The work was performed within the joint activity of eight large collaborative energy research programmes of major Swiss universities, the Swiss Competence Centres for Energy Research (SCCERs), during 2013-2020. In this work, STEM was coupled with several sector-speci c models, e.g., for buildings, grids and industry.…”
mentioning
confidence: 99%
“…Поскольку на долю энергетического сектора Китая приходится около 50 % выбросов CO 2 , создание низкоуглеродной системы выработки электроэнергии должно сыграть важную роль в достижении целей углеродной нейтральности. Технологические прорывы, изменения моделей производства и потребления безотлагательно необходимы для достижения углеродной нейтральности [Zhang and Chen, 2022].…”
Section: энергетические проблемы кнр вызванные амбициозными планами п...unclassified
“…The best and only approach to, while ensuring sufficient power, reduce the emissions is energy transition, defined here as shifting the energy sector from fossil-based production and consumption systems to renewable energy sources [17,18]. Currently, China is enthusiastically promoting zero-emission green energy, such as wind, solar, and hydropower, to replace coal power to reduce emissions.…”
Section: Introduction 1background On Carbon Neutrality and China's Co...mentioning
confidence: 99%