Energy consumption and CO2 emissions in China's cement industry: A perspective from LMDI decomposition analysis

Xu, Jin-Hua; Fleiter, Tobias; Eichhammer, Wolfgang; Fan, Ying

doi:10.1016/j.enpol.2012.08.038

Cited by 237 publications

(117 citation statements)

References 14 publications

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“…The principle purpose of this decomposition analysis is to analyze the 12 causal factors behind the changes in CO2 emissions in all of the energy end-use sectors from 1995-2012. However, the results of an LMDI application may also provide the basis for forecasting or scenario analysis of future evolution [30][31][32].…”

Section: The Logarithmic Mean Divisia Index (Lmdi) Decomposition Modelmentioning

confidence: 99%

Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China

et al. 2015

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Abstract:Tianjin is the largest coastal city in northern China with rapid economic development and urbanization. Energy-related CO2 emissions from Tianjin's production and household sectors during 1995-2012 were calculated according to the default carbon-emission coefficients provided by the Intergovernmental Panel on Climate Change. We decomposed the changes in CO2 emissions resulting from 12 causal factors based on the method of Logarithmic Mean Divisia Index. The examined factors were divided into four types of effects: energy intensity effect, structure effect, activity intensity effect, scale effect and the various influencing factors imposed differential impacts on CO2 emissions. The decomposition outcomes indicate that per capita GDP and population scale are the dominant positive driving factors behind the growth in CO2 emissions for all sectors, while the energy intensity of the production sector is the main contributor to dampen the CO2 emissions increment, and the contributions from industry structure and energy structure need further enhancement. The analysis results reveal the reasons for CO2 emission changes in Tianjin and provide a solid basis upon which policy makers may propose emission reduction measures and approaches for the implementation of sustainable development strategies.

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Section: The Logarithmic Mean Divisia Index (Lmdi) Decomposition Modelmentioning

confidence: 99%

Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China

et al. 2015

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“…In terms of a comprehensive literature review, CO 2 emissions and energy use at different sections of cement industry have been identified (Ali et al, 2011;Madlool et al, 2011). At the macro level, factors affecting CO 2 emissions in cement industry have been decomposed into energy factor effect, energy structure effect, energy intensity effect, cement production activity effect and clinker production activity effect (Kim and Worrell, 2002;Wang et al, 2013;Xu et al, 2012). In the perspective of plant-level, several scholars proceeded to explore factors and mechanism that affect CO 2 emission of cement production in a single plant (Gao et al, 2015;Gartner, 2004;Popescu et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Modeling the dynamic mechanism between cement CO2 emissions and clinker quality to realize low-carbon cement

Cao

Shen

Zhao

et al. 2016

Resources, Conservation and Recycling

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a b s t r a c tTo devise low-carbon cement clinker product, in-depth knowledge about the variation mechanism of cement clinker CO 2 emissions is the prerequisite. The determinants of cement clinker CO 2 emissions in Chinese cement industry have been inquired by several researches recently. However, the impacts and abatement effect of clinker quality on cement clinker CO 2 emissions have not been identified yet. In technological sense, there lacks an integrated quantitative model that can elucidate the dynamic mechanism between cement clinker CO 2 emissions and clinker quality. To fill this gap, this paper devises a CO 2 emission accounting framework integrated with optimization model to explore the dynamic mechanism between cement clinker CO 2 emissions and clinker quality. Based on survey data of 2 typical cement clinker production lines in China, the accounting framework is validated with measured data. Through numerical simulation within this framework, a set of sensitivity analysis is conducted. The results indicate that if the target KH (lime saturation ratio) of both production lines climb from −5% to +5%, the process CO 2 emission factor will give rise to an increase of about 16.4 and 14.8 kg CO 2 /t clinker, respectively. With the same variation, the fuel CO 2 emission factors of two production lines will gain 17.2 and 13.7 kg CO 2 /t clinker, respectively. Obviously, controlled decrease of clinker quality can reduce CO 2 emission of clinker manufacturing. The results of sensitivity analysis are robust and highlight the remarkable role of clinker quality in both process and fuel emissions. Besides, the integrated framework can provide in-depth investigation into the dynamic mechanism between CO 2 emissions and the other determinants. Using this framework, cement plants or industry can develop optimal clinker quality standards on a quantitative basis to achieve low-carbon clinker.

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“…Meanwhile, total emissions of dust, CO 2 , and SO 2 from the Chinese cement industry account for 27.1%, 21.8%, and 4.9% of national emissions, respectively (Ma et al, 2005). Cement production has recently already become the second largest source of emissions in China, with emitting 0.93 billon tons of CO 2 (Xu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Metabolism analysis and eco-environmental impact assessment of two typical cement production systems in Chinese enterprises

Guo

Wang

et al. 2015

Ecological Informatics

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Keywords:Cement production metabolism Industrial metabolism Material and energy flows Use efficiency Environmental emissionsAs one of the primary raw materials in the construction industry, cement production consumes a great deal of resources and has various environmental effects. During the production phase in particular, different procedures play a decisive role in determining the input and output. China has become both the largest producer and the largest consumer of cement worldwide. Together, the two most common production processes in China, the shaft kiln and the NSP (New Suspension Preheater) kiln, account for more than 95% of total production capacity. Although the proportion of NSP kilns continues to increase each year, shaft kilns are still adopted in numerous small and medium-sized enterprises due to their lower costs and quick yields. During the period of technical transformation and the emergence of continuous environmental issues, it is of great importance to quantify the metabolic processes of typical construction materials, particularly in order to conduct a comparative analysis with different production techniques. However, due to the limited availability of data, relevant studies are rare. In this paper, two typical cement enterprises with different production processes were selected in order to investigate material and energy use as well as pollutant emissions. Metabolic processes were then compared and a use efficiency analysis for different procedural phases was conducted using material flow analysis (MFA). The results are as follows: the shaft kiln requires more raw materials, such as limestone, clay, and coal, per unit product. The efficiency of energy consumption (including electric power consumption and overall energy consumption) is also lower for the shaft kiln than for the NSP kiln. As for environmental emissions, the shaft kiln emits more SO 2 , CO 2 , NO X , and dust per unit product than the NSP kiln and has higher eco-environmental impacts.

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Energy consumption and CO2 emissions in China's cement industry: A perspective from LMDI decomposition analysis

Cited by 237 publications

References 14 publications

Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China

Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China

Modeling the dynamic mechanism between cement CO2 emissions and clinker quality to realize low-carbon cement

Metabolism analysis and eco-environmental impact assessment of two typical cement production systems in Chinese enterprises

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