A comprehensive estimate of life cycle greenhouse gas emissions from onshore wind energy in China

被引:25
|
作者
Xu, Kang [1 ]
Chang, Jinfeng [1 ]
Zhou, Wenji [2 ]
Li, Shuangcheng [3 ]
Shi, Zhou [1 ]
Zhu, Hanwen [1 ]
Chen, Yaoyao [1 ]
Guo, Kaiwen [1 ]
机构
[1] Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China
[2] Renmin Univ China, Sch Appl Econ, Dept Energy Econ, Beijing 100872, Peoples R China
[3] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
关键词
SIMPLIFIED MODELS; RENEWABLE ENERGY; POWER-GENERATION; TURBINE; ELECTRICITY; CHALLENGES; FOOTPRINT; COST; TECHNOLOGIES; PERFORMANCE;
D O I
10.1016/j.jclepro.2022.130683
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rapid deployment of wind energy plays an important role in China's proposed energy transition to carbon neutrality before 2060. Greenhouse gas (GHG) emissions are, however, unavoidable during the entire life cycle of wind energy from manufacturing to disposal. It is important to estimate these GHG emissions and the emission intensity for programs of energy transition. In this study, simplified LCA models and engineering-based models were developed to provide a comprehensive estimate of the GHG emission intensity from onshore wind energy in China at provincial and national scales. Results showed that in 2019, the GHG emission intensity per unit power generation was 19.88 g CO2 eq/kWh (provincial intensity ranges from 13.59 to 34.50 g CO2 eq/kWh). The results indicated that onshore wind energy in China has an emission intensity more than 98% lower than traditional fossil fuels and the mitigation effect can reach 84%-98% compared to the energy mix in 2020. The effects on emission intensity of shifting the turbine mix towards larger sizes, reducing wind curtailment and using advanced designs to improve efficiency were further investigated. Advanced design of turbines can further decrease GHG emission intensity by 21.6%, more than the scenario of reducing curtailment (5.4%), while the emission intensity could be reduced by 2.1% under the scenario of shifting the turbine mix towards larger sizes. The results will aid future energy-mix scenario design and policy formulation.
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页数:12
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