Pollutant emission reduction of energy efficiency enhancement and energy cascade utilization in an energy-intensive industrial park in China

Abstract

Industrial parks play an extremely important role in the rapid development of China’s economy. However, as the backbone of China’s economic development, industrial parks also consume huge energy resources and cause serious pollution to the environment, making China face greater pressure on environmental issues. This article takes the Yongcheng Economic and Technological Development Area, a typical energy-intensive industrial park in Henan Province, as the research object to analyze its energy saving and emission reduction potential. Three scenarios (baseline scenario, energy cascade utilization scenario, and energy efficiency technology enhancement scenario) are set to quantify the energy-saving potential and air pollutant emission reduction of the park under different scenarios. The results show that in the energy cascade utilization scenario, by realizing the recycling of waste heat resources from heat source enterprises, it can bring energy saving of 6385 TJ, and reduce 0.35 kt SO2, 0.79 kt NOx, 0.067 kt PM10, and 0.035 kt PM2.5. And CO2 emission reductions have reached 604 kt. In the energy efficiency technology enhancement scenario, by eliminating relatively backward technologies and adding advanced energy-saving technologies, 7306 TJ energy saving could be achieved. SO2, NOx, PM10, PM2.5, and CO2 emission reductions are 0.37, 0.82, 0.038, 0.071, and 719 kt, respectively. The results of the CALPUFF model indicate that the pollutant concentrations of SO2, NOx, PM10, and PM2.5 in the spring and autumn are relatively high, while those in the summer and winter seasons are relatively low. In four seasons, the highest 1-h average concentration and dispersion range of four pollutants have been reduced both in the energy cascade utilization scenario and in the efficiency technology enhancement scenario.

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References

  1. ASG (The Atmospheric Studies Group at TRC) (2018) CALPUFF Modeling System from Physicsweb. http://wwwsrccom Assessed August 10, 2019

  2. Cao XC, Gui QL, Zhang Y (2018) Research on the use of the whole process of steel waste heat utilization cascade (in Chinese). Energy for Metallurgical Industry 37:3–7

  3. CESY (China Energy Statistical Yearbook) (2018) China Statistics Press, Beijing, China

  4. Fang H, Xia JJ, Jiang Y (2015) Key issues and solutions in a district heating system using low-grade industrial waste heat. Energy 86:589–602

    Article  Google Scholar 

  5. Guo Y, Tian JP, Zang N, Gao Y, Chen LJ (2018) The role of industrial parks in mitigating greenhouse gas emissions from China. Environ Sci Technol 52:7754–7762

    CAS  Article  Google Scholar 

  6. Guo Y, Tian JP, Chertow M, Chen L (2017) Exploring greenhouse gas-mitigation strategies in Chinese eco-industrial parks by targeting energy infrastructure stocks. J Ind Ecol 22:106–120

    Article  Google Scholar 

  7. Hackl R, Harvey S (2015) From heat integration targets toward implementation – a TSA (total site analysis)-based design approach for heat recovery systems in industrial clusters. Energy 90:163–172

    Article  Google Scholar 

  8. IPCC (Intergovernmental Panel on Climate Change) (2006) Guidelines for national greenhouse gas inventories. Institute for Global Environmental Strategies (IGES), Japan

  9. Jin HG, Li BY, Feng ZB, Gao L, Han W (2007) Integrated energy systems based on cascade utilization of energy. Frontiers of Energy and Power Engineering in China 1:16–31

  10. Jouhara H, Khordehgah N, Almahmoud S, Delpech B, Chauhan A, Tassou SA (2018) Waste heat recovery technologies and applications. Therm Sci Eng Prog 6:268–289

    Article  Google Scholar 

  11. Kim HW, Dong L, Choi AES, Fujii M, Fujita T, Park HS (2018) Co-benefit potential of industrial and urban symbiosis using waste heat from industrial park in Ulsan, Korea. Resour Conserv Recycl 135:225–234

    Article  Google Scholar 

  12. Li Y, Zhu L (2014) Cost of energy saving and CO2 emissions reductions in China’s iron and steel sector. Appl Energy 130:603–616

    Article  Google Scholar 

  13. Liu F, Zhang Q, Tong D, Zheng B, Li M, Huo H, He KB (2015) High-resolution inventory of technologies, activities, and emissions of coal-fired power plants in China from 1990 to 2010. Atmos Chem Phys 15:18787–18837

    Article  Google Scholar 

  14. McKenna RC, Norman JB (2010) Spatial modelling of industrial heat loads and recovery potentials in the UK. Energy Policy 38:5878–5891

    Article  Google Scholar 

  15. MEE (Ministry of Ecology and Environment) (2014) Announcement on the publication of five technical guidelines, including the Technical Guidelines for the Preparation of Primary Source Emission Inventory of Atmospheric Respirable Particulates (Trial). http://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htm?COLLCC=4091198132&

  16. MEP (Ministry of Environmental Protection of China) (2012) Ambient air quality standards. GB:3095–2012

  17. NDRC (National Development and Reform Commission) (2018) China Development Zone Audit Bulletin Directory. http://www.ndrc.gov.c-n/fzgggz/wzly/zcfg/201803/W020180305345379508096.pdf (accessed March 13, 2019)

  18. NDRC (2008–2015) Extension directory of important energy conservation technology (total six batches)

  19. Wang K, Wang SS, Liu L, Yue H, Zhang RQ, Tang XY (2016) Environmental co-benefits of energy efficiency improvement in coal-fired power sector: a case study of Henan Province, China. Appl Energy 184:810–819

    Article  Google Scholar 

  20. Wen ZG, Li H (2014) Analysis of potential energy conservation and CO2 emissions reduction in China’s non-ferrous metals industry from a technology perspective. Int J Greenh Gas Con 28:45–56

    CAS  Article  Google Scholar 

  21. Zhang Q, Zhao X, Lu H, Ni T, Li Y (2017) Waste energy recovery and energy efficiency improvement in China’s iron and steel industry. Appl Energy 191:502–520

    Article  Google Scholar 

  22. Zhang C, Zhou L, Chhabra P, Garud SS, Aditya K, Romagnoli A, Comodi G, Magro FD, Meneghetti A, Kraft M (2016) A novel methodology for the design of waste heat recovery network in eco-industrial park using techno-economic analysis and multi-objective optimization. Appl Energy 184:88–102

    Article  Google Scholar 

  23. Zhao Y, Wang S, Nielsen CP, Li XH, Hao JM (2010) Establishment of a database of emission factors for atmospheric pollutants from Chinese coal-fired power plants. Atmos Environ 44:1515–1523

    CAS  Article  Google Scholar 

  24. Tian JP, Shi H, Li X, Chen LJ (2012) Measures and potentials of energy-saving in a Chinese fine chemical industrial park. Energy 46(1):459–470

    CAS  Article  Google Scholar 

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Funding

This study was financially supported by the Energy Foundation for “Evaluation and Upgrading Scheme of Circular and Low-carbon Industrial Park in Henan Province: A case study of Yongcheng Economic and Technological Development Area” [G-1709-26857].

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Correspondence to Shanshan Wang.

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Highlights

• Calculating the emission of air pollutants (SO2, NOx, PM10, PM2.5) and CO2 in an industrial park.

• Evaluating the impacts of different measures in a complex energy-intensive industrial park.

• Comparing the potential of energy cascade utilization and energy efficiency enhancement.

• Simulating impact of diffusion of air pollutants on surrounding region by CALPUFF model.

Responsible Editor: Philippe Garrigues

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Ji, J., Wang, S., Ma, Y. et al. Pollutant emission reduction of energy efficiency enhancement and energy cascade utilization in an energy-intensive industrial park in China. Environ Sci Pollut Res (2020). https://doi.org/10.1007/s11356-020-09158-5

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Keywords

  • Energy saving
  • Emission reduction of air pollutants
  • CALPUFF model
  • Energy cascade utilization
  • Energy conservation supply curve
  • Air quality