The Evaluation of Air Pollutant Emission Reduction Effect of Port Handling and Distributing Facilities

Article Preview

Abstract:

Based on methods of the fuel consumption, statistical and analogy analysis, the throughput amount method was established to calculate the emissions from port handling, and the minimum mileage method was established to estimate emissions from port cargo highway distributing. In the methods, some coefficients were used obtained by investigations: the current container handling emission factors of NOx, VOCs, CO, PM2.5 and SOx are 1.64, 0.21, 0.42, 0.01 and 0.29 t/TEU; the energy consumption of the unit throughput is 4.12 tons of standard coal per 104 tons; the ratios of the unit non container cargoe handling energy consumption for coastal and inland river ports to those of container cargo are 0.631 and 0.405; the ratio of the unit non container cargoe highway distributing energy consumption to those of container cargo is 0.365. The calculation results show that the total emissions from the cargo handling and highway distributing of 2013 in China for NOx, VOCs, CO, PM2.5 and SOx are 54.365, 14.821, 24.631, 5.599 and 16.802 104 tons, and the emissions from highway distributing are 4.21, 10.02, 8.24, 8.22 and 8.19 times of the emissions from port handling facilities. According to energy saving and emission reduction measures, formulas were established to calculate air pollutant emissions after the new added measures. Analyzing the real performance of the measures implemented since 2001 and predicting its trend of development, a scenario was designed, in which the Chinese port throughput continuously rises while the energy saving and emission reduction efforts gradually increase by 2020: the popularities of the energy saving measure of "oil changing to electricity" and the clean fuel measure of "oil changing to gas" reach 100% and 83%; the proportion of power plants with 95% desulfurization and denitrification reaches 100%; the energy saving and emission reduction efficiency of port cargo distributing optimization measures reaches 40%. Under this scenario, the prediction shows that during the port throughput increasing approximately 4.2 times from 2005 to 2020, the air pollutant emissions will be reduced significantly, returning to a lower level compared with 2005. The above methods and results can be used to support the decision-making and the implementation of emission reduction measures for the national, regional and port enterprises.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1073-1076)

Pages:

2719-2727

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Qiao Bing: Emissions from shipping port Chinese control, Proceedings of the Motor Vehicle Emissions Control Workshop 2014, Session 4b. 1.

Google Scholar

[2] Bing Qiao, Shen Li: Study on Petroleum Wharf and Reservoir VOCs Emissions and Photochemical Reaction, Adv. Mater. Res., 2014, Volume 864-867, 115-124.

DOI: 10.4028/www.scientific.net/amr.864-867.115

Google Scholar

[3] Qiao Bing: Waterborne trans.: air pollution prevention and control technology of carbon emissions, Waterborne trans. sci. & tech., 20(2013), 22-27, In Chinese.

Google Scholar

[4] Zhou Jiahai, Chen Qingwei, et al: Electric technology of rubber tire container gantry crane oil change, Hoisting and Conveying Mach., 2009 (04), In Chinese.

Google Scholar

[5] A A De Boera, J Smita: Economics and fuel conservation. Energy Conversion, 1978, Volume 18, Issue 3.

Google Scholar

[6] ZhiCaoa, Der-Horng Lee, QiangMenga: Deployment strategies of double-rail-mounted gantry crane systems for loading outbound containers in container terminals, International Journal of Production Economics, 2008 (02).

DOI: 10.1016/j.ijpe.2008.05.014

Google Scholar

[7] M. Kalogirou, D. Katsaounis, G. Koltsakis, Z. Samaras,《Measurements of diesel soot oxidation kinetics in an isothermal flow reactor–catalytic effects using Pt based coatings》,Topics in Catalysis, 2007, Vol. 42 (1), pp.247-251.

DOI: 10.1007/s11244-007-0185-z

Google Scholar

[8] Li Yinglin: The basic method of material balance, J. of Higher Correspondence Education (NATURAL SCIENCE EDITION),1995(05), In Chinese.

Google Scholar

[9] Ministry of environmental protection: Fuel combustion emissions of atmospheric pollutants material balance approach (Provisional), 2003, In Chinese.

Google Scholar

[10] Yufeng Li, Yan He, Yan Wang, Ping Yan, Xuehui Liu: A framework for characterising energy consumption of machining manufacturing systems, International Journal of Production Research, 2014 (2).

DOI: 10.1080/00207543.2013.813983

Google Scholar

[11] Corbett, J.J., Fischbeck, P.S.: Emissions from ships, Science, 1997, 278 (5339), 823-824.

DOI: 10.1126/science.278.5339.823

Google Scholar

[12] IVL: Methodology for Calculating Emissions from Ships (2004), Prepared by IVL Swedish Environmental Research Institute for the Swedish Environmental Protection Agency, Sweden.

DOI: 10.14424/ijcscm901019-01-19

Google Scholar

[13] Yau, P.S., Lee, S.C., Corbett, J.J., Wang, et al: Estimation of exhaust emission from ocean-going vessels in Hong Kong, Sci. Total Environ, 2012 (431), 299-306.

DOI: 10.1016/j.scitotenv.2012.03.092

Google Scholar

[14] Yang, D.Q., Kwan, S.H., Lu, T., Fu, Q.Y., Cheng, J.M., Streets, D.G., et al.: An emission inventory of marine vessels in Shanghai in 2003, Environ. Sci. Technol., 2007 (41) 5183-5190.

DOI: 10.1021/es061979c

Google Scholar

[15] Simon K.W. Ng, Christine Loh, Chubin Lin, Veronica Booth, Jimmy W.M. Chan, Agnes C.K. Yip, Ying Li, Alexis K.H. Lau: Policy change driven by an AIS-assisted marine emission inventory in Hong Kong and the Pearl River Delta, Atmospheric Environment, 76 (2013).

DOI: 10.1016/j.atmosenv.2012.07.070

Google Scholar

[16] Su Song: Ship emissions inventory, social cost and eco-efficiency in Shanghai Yangshan port, Atmospheric Environment, 82 (2014), 288-297.

DOI: 10.1016/j.atmosenv.2013.10.006

Google Scholar

[17] Corbett, J.J., Winebrake, J.J., Green, E.H., et al: Mortality from ship emissions: a global assessment, Environ. Sci. Technol., 41 (2007), 8512-8518.

DOI: 10.1021/es071686z

Google Scholar

[18] Endresen, O., Sorgard, E., Sundet, J.K., et al: Emission from international sea transportation and environmental impact, J. Geophys. Res., 108 (2003), 4560.

Google Scholar

[19] Lin Xiuli: Research China motor vehicle emission factor and its correction method, Environmental science and management, 2009 (09), In Chinese.

Google Scholar

[20] Wang Yanjun, JiZhe, Yin Hang, Ding Yan, Su Sheng, QianLiyun, Wang Junfang: The influence factors of heavy duty diesel vehicle pollutant emission factors measured, Environmental science research, 2014 (03), In Chinese.

Google Scholar

[21] Li Runkui, Zhao Tong, Li Zhipeng, Ding Wenjun, Cui Xiaoyong, XuQun, Song Xianfeng: Motor vehicle traffic and air pollutant concentration synchronous incremental estimation methods based on the average emission factor, Environmental science, 2014 (04), In Chinese.

Google Scholar

[22] GuoShuxia, Yu Lei, Song Guohua: Comparison and analysis of heavy diesel vehicle emissions factor measured and predicted value of MOBILE6, Safety and environmental engineering, 2007 (02), In Chinese.

Google Scholar

[23] Department of comprehensive planning of Ministry of transport: Statistics of highway and waterway transportation industry in 2012 (April 2013), http: /www. mot. gov. cn/sj/zongheghs/tongjifx_ghs/niandubg_ghs/201408/t20140806_1662994. html, In Chinese.

Google Scholar

[24] Department of comprehensive planning of Ministry of transport: Statistics of highway and waterway transportation industry in 2012 (May 2014), http: /www. moc. gov. cn/zfxxgk/bnssj/zhghs/201405/t20140513_1618277. html, In Chinese.

Google Scholar

[25] The State Council: A national plan to address climate change (2014-2020) approval (Sep. 2014), In Chinese.

Google Scholar