Impacts of power generation on air quality in China—part I: An overview

Huang, Lin; Hu, Jianlin; Chen, Mindong; Zhang, Hongliang

doi:10.1016/j.resconrec.2016.04.010

Cited by 55 publications

(36 citation statements)

References 39 publications

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“…Among industrial sectors, power plants contribute the largest amount of SO2 emission, about 60% in China [20,35,[40][41][42]. Power generation has been dominated by coal burning techniques [20,40,[43][44][45][46] which have been proven to produce serious SO2 emission in China …”

Section: Economic Disparity and So2 Emissionmentioning

confidence: 99%

“…Among industrial sectors, power plants contribute the largest amount of SO 2 emission, about 60% in China [19,35,[40][41][42]. Power generation has been dominated by coal burning techniques [19,40,[43][44][45][46] which have been proven to produce serious SO 2 emission in China [27,37]. Power generation is an original driver for Chinese economic growth and has increased China's GDP for the past three decades [47][48][49].…”

Section: Economic Disparity and So 2 Emissionmentioning

confidence: 99%

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Air Pollution Inequality and Its Sources in SO2 and NOX Emissions among Chinese Provinces from 2006 to 2015

2018

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This paper investigates inequality in SO 2 and NO X emissions, by observing their extraordinary levels and uneven distribution in China during the period of the 11th and 12th Five-Year Plans (FYPs, 2006(FYPs, -2015. This provincial and regional analysis utilizing the Theil index and Kaya factors help us to find the trajectory of inequality and its primary sources. Based on our analysis, we conclude the driving factors behind emissions inequalities are as follows. There are four economic factors of per capita SO 2 emission: SO 2 emission intensity of coal consumption, coal intensity of power generation, power intensity of GDP, and per capita GDP. Additionally, there are four urban development factors of per capita NO X emission: NO X emission intensity of gasoline consumption, proportion of gasoline vehicles, vehicle use in urban population, and urbanization rate. The SO 2 emission results represent an increase of 6% in overall inequality where the inequality of power intensity of GDP is the main contributor. In terms of NO X emission, the 3% growth in total inequality is related to the high effect of NO X emission intensity of gasoline consumption. We also examine the effect of other factors affecting the trajectory of inequalities. To apply these results in practice, we compare the 11th and 12th FYPs and give some policy suggestions.

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Section: Economic Disparity and So2 Emissionmentioning

confidence: 99%

Section: Economic Disparity and So 2 Emissionmentioning

confidence: 99%

Air Pollution Inequality and Its Sources in SO2 and NOX Emissions among Chinese Provinces from 2006 to 2015

2018

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“…Data resource: e is discussed in [28,29]; c 1 is calculated according to [16]; and the remaining data are assessed using actual data from typical plants and the grid of BTH in 2016. The parameter values are measured in the Chinese currency RMB Yuan and are converted to US dollars in the analysis at the rate of 1 US $ = 6.8931 Yuan, comparing the U.S. dollar against the RMB exchange rate.…”

Section: Effect Of Ebs On Wind Power Accommodationmentioning

confidence: 99%

Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power

Wang

Liu

et al. 2017

Sustainability

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Abstract:The increasing development of combined heat and power (CHP) plants is exacerbating the wind power curtailment problem in regional power grids during the winter heating season. Electric boilers (EBs) were proposed to be employed within CHP plants to relieve this problem. However, CHP plants usually have no incentive for investing in EBs. Therefore, CHP plants must be incentivized to make such investments through appropriate compensation from beneficiaries, i.e., government and wind farms, although this has not previously been discussed. We propose a game theory model to simulate the impact of government subsidies on EB investment. We analyzed the utilization of the involved parties with the marginal cost and average cost and applied game theory to simulate the investment decisions. Then, an approximate enumeration technique was developed to identify the optimum government subsidy. An actual case of a regional power grid in northern China was investigated to validate the proposed method. A minimum government subsidy to maximize total social benefit was calculated; this subsidy can incentivize wind farms and CHP plants to invest in and use EBs.

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“…Due to the fast growth of economy, the power generation has been increased quickly recently to support the rapid development in China and will continue to increase in the future [1]. And in China, the thermal power is still dominant in power generation, with 74% to total power generation in 2013 [2]. Because of the great coal consumption by thermal power plants, the primary energy is decreasing in a fast speed and the environment is facing with a severe damage.…”

Section: Introductionmentioning

confidence: 99%

From Generating Cost to Environmental Impact: Comparing Wind Power with Thermal Power

Li¹,

Cui²,

Liang³

et al. 2018

dtcse

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Abstract. As the fast development of China's economy, the power generation has increased rapidly to support the economic growth. In China, thermal power, as a traditional power generation, consumes more fossil energy and brings great damage on environment. As for wind power, a clean and renewable power generation, uses wind energy and is beneficial to environment. In order to describe the differences between these two generations in detail, this paper compared the thermal power with the wind power from the generating total cost to the environmental impact in a quantitative way. And the scenario analysis was adopted for predicting the energy conservation and the emission reduction by wind power. The results show that: (1) Coal is still the dominant input for energy consumption in China and the installed capacity of thermal power takes 65% to total installed capacity. As for the wind power, wind energy only has a share of 5.89% to the total energy consumption and the installed capacity of wind power contributes 8% on total installed capacity. (2) The total cost of thermal power is higher than that of wind power, with 0.47 yuan/KWh. (3) Comparing with the thermal power, the wind power save 238.87 million tons of coal equivalent in total. In addition, the wind power reduces 668.54 million tons of CO 2 emissions, 1.73 million tons of SO 2 emissions, 1.8 million tons of NO x emissions and 0.3 million tons of smoke emissions during 2008 to 2015. (4) The coal conservation and the emission reduction by wind power are much greater in high economic growth rate scenario.

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Impacts of power generation on air quality in China—part I: An overview

Cited by 55 publications

References 39 publications

Air Pollution Inequality and Its Sources in SO2 and NOX Emissions among Chinese Provinces from 2006 to 2015

Air Pollution Inequality and Its Sources in SO2 and NOX Emissions among Chinese Provinces from 2006 to 2015

Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power

From Generating Cost to Environmental Impact: Comparing Wind Power with Thermal Power

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