Penetration of clean coal technology and its impact on China's power industry

Na, Chunning; Yuan, Jiahai; Xu, Yan; Hu, Zheng

doi:10.1016/j.esr.2014.11.004

Cited by 56 publications

(11 citation statements)

References 5 publications

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“…where S pc is the annual CO 2 emissions from coalfired power plants; E is the power-generating capacity; m c is the power-generating efficiency of coal fuel, here taken as 305 gce/kWh; 16 CF c is CO 2 emission coefficient of coal, here taken as 2.7725 gCO 2 /gce; 17 t is annual run time of the power plants, which is taken as 5459 h/year by averaging the run-time levels of power plants from 2009-2015 in China. Natural gas is a cleaner burning fuel, and natural gas power plants are flourishing in Jiangsu, with the construction of West-East gas pipeline.…”

Section: Source Types and Evaluation Methodology Of Co 2 Emissionsmentioning

confidence: 99%

“…The CO 2 emissions can be estimated by capacity, fuel type, and efficiency of power generation. Annual CO 2 emissions from coalfired power plants are calculated with the formula in Eqn :

S^{p c} = E \times m^{c} \times C F^{c} \times t

where

S^{p c}

is the annual CO 2 emissions from coalfired power plants; E is the power‐generating capacity;

m^{c}

is the power‐generating efficiency of coal fuel, here taken as 305 gce/kWh;

C F^{c}

is CO 2 emission coefficient of coal, here taken as 2.7725 gCO 2 /gce; t is annual run time of the power plants, which is taken as 5459 h/year by averaging the run‐time levels of power plants from 2009–2015 in China.…”

Section: Carbon Dioxide Emissions Of Major Point Sources In Jiangsu Pmentioning

confidence: 99%

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Optimal matching between CO₂ sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China

et al. 2018

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An understanding of CO2 sources, sinks, and their optimal matching relationships is helpful when making an initial assessment or making decisions regarding CO2 sequestration. One of the most populous and developed provinces in China, Jiangsu, is facing tremendous pressure to reduce CO2 emissions. This study assessed CO2 emissions from large, stationary CO2 sources and the CO2 geological storage capacity for the Jiangsu province, and studied their optimal geographical matching relationships. The results of the study show that major, large, stationary sources have a total of 730.75 Mt/year CO2 emissions, and the majority of them are located in southern Jiangsu. The Subei‐Southern South Yellow Sea basin, with a total storage capacity of 5.21 × 104 Mt, can be subdivided into 28 storage blocks based on the faults. Source‐sink geographical matching shows that the locations of the sources and the matched sinks are approximately translational. When the entire Subei‐Southern South Yellow basin was chosen as an option for CO2 sinks, the sinks that matched to the northern Jiangsu CO2 sources were mainly located in the onshore northern Subei basin. The northern sources tended to match the north sinks of the northern Subei basin. The CO2 from the southern Jiangsu should be stored in the southern Subei basin and the offshore Southern South Yellow basin. When only the offshore storage blocks are optional CO2 sinks, the CO2 sources in the northern and central Jiangsu mainly match the sinks in the northwestern Southern South Yellow basin. The CO2 sources from southern Jiangsu mainly match the sinks in the southern and eastern Southern South Yellow basin. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: Source Types and Evaluation Methodology Of Co 2 Emissionsmentioning

confidence: 99%

“…The CO 2 emissions can be estimated by capacity, fuel type, and efficiency of power generation. Annual CO 2 emissions from coalfired power plants are calculated with the formula in Eqn :

S^{p c} = E \times m^{c} \times C F^{c} \times t

where

S^{p c}

is the annual CO 2 emissions from coalfired power plants; E is the power‐generating capacity;

m^{c}

is the power‐generating efficiency of coal fuel, here taken as 305 gce/kWh;

C F^{c}

Section: Carbon Dioxide Emissions Of Major Point Sources In Jiangsu Pmentioning

confidence: 99%

Optimal matching between CO₂ sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China

et al. 2018

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“…A review study on the development status of clean coal technologies in China claimed that the main clean coal technologies have been developed rapidly in recent years and are ready to be put into operation [4]. Clean coal technologies are believed to be one of the key options for China in achieving sustainable development, due to their high efficiency and lower emissions [30]. There are, however, still some constraints on the application of clean coal technology in China, including high capital investment [31].…”

Section: Clean Coal and District Heatingmentioning

confidence: 99%

Public Private Partnerships, a Value for Money Solution for Clean Coal District Heating Operations

Wang

Chen

2019

Sustainability

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Although district heating is an energy-effective solution for cold countries, the coal-fired district heating sector is still facing significant challenges as regards sustainable development, during its operational stage. In order to achieve better operational performance, public private partnerships (PPP) have been introduced in relation to managing clean coal district heating, as a value for money (VfM) solution. To date, however, studies of the application of clean coal in district heating operations are rare and the lack of an evaluation framework hinders the effectiveness test on this sustainable solution. This research aims to investigate the effectiveness of PPP as a VfM solution to the operation of clean coal district heating, by developing an assessment framework on the basis of three dimensions of sustainability: economic, social and environmental, and discussing the proposal, by means of a case study. The assessment results show that the PPP operation offers good VfM performance but with room for improvement, including more user engagement. This research contributes to the literature on clean coal district heating and PPP by providing a comprehensive assessment framework for evaluating VfM performance of the concept. The application of the framework can help the authorities with a robust PPP assessment and thus, improve the sustainable performance of the clean coal heating operation.

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“…Yuan J. et al [19,20] and Zhao et al [21,22] analyzed the economics of coal power under a changing market landscape. Several recent papers have addressed the role of coal power in sustainability of China [23][24][25]. The above indicates that previous studies on the assessment of electric power investment risks have focused on specific projects, mainly involving some micro-level risk factors, which seldom targeted country-specific risk assessments for electric power investment.…”

Section: Introductionmentioning

confidence: 99%

Electric Power Investment Risk Assessment for Belt and Road Initiative Nations

et al. 2018

Self Cite

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In recent years, Chinese companies’ investment in overseas electric power has grown rapidly. Chinese enterprises with matured technology and abundant talent in the field of electric power and electric power investment are becoming the focus of Chinese enterprise investment. However, just like any other energy investment, electric power investment has various potential risks, including economic risk, financial risk, social risk, political risk, electric power foreground risk, resource risk, and environmental risk. To specifically measure electric power investment risk, this article proposed a nine-dimensional indicator system for countries along China’s ‘Belt and Road Initiative’. Moreover, a fuzzy integrated evaluation model ground on the entropy weight was established to evaluate the electric power investment risk of 21 countries along China’s Belt and Road Initiative. The result of research shows that electric power foreground and Chinese factors have become the major underlying determinants of electric power investment risk, while coal power economy, renewable power economy, and political risk should also be attached enough attention when making investing decisions. In conclusion, the optimal choices for China’s electricity investment are determined after balancing electric power foreground and basic factors. After analyzing investment risks of various countries, this paper puts forward policy suggestions, which can help Chinese enterprises avoid electric power investment risks and improve investment efficiency.

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Penetration of clean coal technology and its impact on China's power industry

Cited by 56 publications

References 5 publications

Optimal matching between CO₂ sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China

Optimal matching between CO₂ sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China

Public Private Partnerships, a Value for Money Solution for Clean Coal District Heating Operations

Electric Power Investment Risk Assessment for Belt and Road Initiative Nations

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Penetration of clean coal technology and its impact on China's power industry

Cited by 56 publications

References 5 publications

Optimal matching between CO2 sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China

Optimal matching between CO2 sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China

Public Private Partnerships, a Value for Money Solution for Clean Coal District Heating Operations

Electric Power Investment Risk Assessment for Belt and Road Initiative Nations

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Product

Resources

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Optimal matching between CO₂ sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China

Optimal matching between CO₂ sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China