The role of nuclear in China's energy future: Insights from integrated assessment

Yu, Sha; Yarlagadda, Brinda; Siegel, Jonas; Zhou, Sheng; Kim, Sonny

doi:10.1016/j.enpol.2020.111344

Cited by 39 publications

(19 citation statements)

References 29 publications

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“…The availability of wind and solar resources and carbon storage differs by province and is represented by provincial-specific resource curves. The deployment of hydro and nuclear power plants in future is based on the plan of the Chinese government, as these investment decisions are often driven by factors beyond costs 37 . The deployment of other electricity generation technologies depends on relative costs and is achieved using a choice function that is designed to represent decision making among competing options when only some characteristics of the options are observed 38 .…”

Section: Methodsmentioning

confidence: 99%

A plant-by-plant strategy for high-ambition coal power phaseout in China

et al. 2021

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More than half of current coal power capacity is in China. A key strategy for meeting China’s 2060 carbon neutrality goal and the global 1.5 °C climate goal is to rapidly shift away from unabated coal use. Here we detail how to structure a high-ambition coal phaseout in China while balancing multiple national needs. We evaluate the 1037 currently operating coal plants based on comprehensive technical, economic and environmental criteria and develop a metric for prioritizing plants for early retirement. We find that 18% of plants consistently score poorly across all three criteria and are thus low-hanging fruits for rapid retirement. We develop plant-by-plant phaseout strategies for each province by combining our retirement algorithm with an integrated assessment model. With rapid retirement of the low-hanging fruits, other existing plants can operate with a 20- or 30-year minimum lifetime and gradually reduced utilization to achieve the 1.5 °C or well-below 2 °C climate goals, respectively, with complete phaseout by 2045 and 2055.

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Section: Methodsmentioning

confidence: 99%

A plant-by-plant strategy for high-ambition coal power phaseout in China

et al. 2021

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“…As discussed earlier, the LCOE of nuclear power is competitive with other energy sources, given the electricity market structure of Bangladesh. However, the literature suggests that carbon tax makes the LCOE of nuclear electricity competitive even in deregulated electricity markets (Du and Parsons 2009 ; Kennedy 2007 ; Yu et al 2020 ). Thus, if the Bangladesh government introduces a carbon tax on fossil fuel electricity production, the LCOE of nuclear energy will be more competitive under Bangladesh’s centralized and regulated electricity market.…”

Section: Interpretation Of the Cost Estimation Resultsmentioning

confidence: 99%

“…It is to be noted that this study does not include data from China and Russia due to the unavailability of data in those countries. Thus, Wealer et al ( 2018 ) might have come up with a different finding if they could have added Chinese nuclear electricity production in their Monte Carlo estimation, as Yu et al ( 2020 ) argue that compared to other clean energy options, nuclear power is cost-competitive in China. According to this study, in 2017, the price of nuclear electricity was slightly higher than coal and hydropower in China, whereas it is lower than solar, wind, and biomass.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating the economic cost of setting up a nuclear power plant at Rooppur in Bangladesh

Goswami

Rahman

Chowdhury

2022

Environ Sci Pollut Res

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Bangladesh government is in the final stage of setting up one nuclear power plant with two units at Rooppur, Ishwardi, each having 1200 MW capacity, to be launched in 2023 to meet the energy shortage urgently. The financial cost of the project is the US $12.65 billion. The primary purpose of this paper is to calculate the economic cost of setting up this plant by using the estimation method developed by Du and Parsons ( 2009 ), MIT ( 2003 ; 2009 ; 2018 ), and Singh et al. ( 2018 ). It has been found that the economic cost is amounted to 9.36 cents/kWh for the capacity of 2400 MW. In contrast, for a similar plant in Kudankulam, Tamil Nadu, India, the corresponding cost figure is 5.36 cents/kWh for 2000 MW. Even though it seems costlier than India, the study suggests that policymakers should prefer nuclear power, as it is cost-competitive, considering the production cost of other electricity facilities. The main advantage of nuclear power is cost-competitive baseload power generation with zero carbon emission. This nuclear power plant (NPP) project is expected to boost the energy sector of Bangladesh by transforming the country from an energy deficit country into an energy surplus country. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-18129-3.

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“…GCAM-China has a higher resolution, which represents 31 provinces in China with other global regions. GCAM-China was used for examining the role of technologies such as carbon dioxide capture, utilization, and storage (CCUS) [35] and nuclear power plants [36] in China at the provincial level. Another example of higher spatial GCAM is GCAM-USA, which subdivided the USA region into 50 US states and D.C. and was also used as a PM 2.5 analysis tool for US states and D.C. Shi et al [17] projected NO x , SO 2 , and PM 2.5 emissions, and Ou et al [20] estimated PM 2.5 mortality costs.…”

Section: Global Change Assessment Model and Gcam-koreamentioning

confidence: 99%

Modeling Air Pollutant Emissions in the Provincial Level Road Transportation Sector in Korea: A Case Study of the Zero-Emission Vehicle Subsidy

et al. 2020

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South Korea has been suffering from high PM2.5 pollution. Previous studies have contributed to establishing PM2.5 mitigation policies but have not considered provincial features and sector-interactions. In that sense, the integrated assessment model (IAM) could complement the shortcomings of previous studies. IAM, capable of analyzing PM2.5 pollution levels at the provincial level in Korea, however, has not been developed yet. Hence, this study (i) expands on IAM which can represent provincial-level spatial resolution in Korea (GCAM-Korea) with air pollutant emissions modeling which focuses on the road transportation sector and (ii) examines the zero-emission vehicles (ZEVs) subsidy policy’s effects on PM2.5 mitigation using the expanded GCAM-Korea. Simulation results show that PM2.5 emissions decrease by 0.6–4.1% compared to the baseline, and the Seoul metropolitan area contributes 38–44% to the overall PM2.5 emission reductions. As the ZEVs subsidy is weighted towards the light-duty vehicle 4-wheels (LDV4W) sector, various spillover effects are found: ZEVs’ share rises intensively in the LDV4W sector leading to an increase in its service costs, and at the same time, driving bus service costs to become relatively cheaper. This, in turn, drives an increase in bus service demand and emissions discharge. Furthermore, this type of impact of the ZEVs subsidy policy does not reduce internal combustion engine vehicles (ICEVs) in freight trucks, although diesel freight trucks are a major contributor to PM2.5 emissions and also to NOx.

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The role of nuclear in China's energy future: Insights from integrated assessment

Cited by 39 publications

References 29 publications

A plant-by-plant strategy for high-ambition coal power phaseout in China

A plant-by-plant strategy for high-ambition coal power phaseout in China

Estimating the economic cost of setting up a nuclear power plant at Rooppur in Bangladesh

Modeling Air Pollutant Emissions in the Provincial Level Road Transportation Sector in Korea: A Case Study of the Zero-Emission Vehicle Subsidy

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