International Scientific Journal

Authors of this Paper

External Links


Objective: The paper is to study the sewage treatment degradation thermal energy management system of a sewage treatment plant, to achieve the energy saving and emission reduction. Methods: This paper studies the electron equivalent reaction of biochemical reaction of organic matter. Under the environmental conditions of biochemical degradation of sewage, biochemical oxygen demand (BOD5) is used to indicate the amount of heat generated by the degradation of organic matter in sewage. The paper designs a management system based on sewage heat recovery, and uses it to carry out heat recovery of sewage. Also, the energy-saving benefits produced by the heat management system are studied. Results: The sewage heat recovery system is more energy-efficient than the common air-conditioning supply system. In the use of sewage heat management system for one year, it achieves energy saving of 30.4% better than that of ordinary air-conditioning systems. The system for one year saves electric energy of 2145464 kWh, which is equivalent to saving 2511994⋅104 kJ primary energy. This system saves 858.2 tons per year of standard coal, reduces CO2 emissions by 2789.1 tons per year, reduces SO2 emissions by 19.61 tons per year, reduces NO2 emissions by 7.12 tons per year, reduces ash emissions by 135.19 tons per year, and saves tap water replenishment 40243 tons per year. Conclusion: The sewage thermal energy management system can utilize the thermal energy in the sewage, thereby using the sewage as a new clean energy. It can effectively improve China’s current energy shortage and make a substantial contribution China’s energy saving and emission reduction goals.
PAPER REVISED: 2019-11-20
PAPER ACCEPTED: 2020-01-22
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2020, VOLUME 24, ISSUE Issue 5, PAGES [3149 - 3156]
  1. Huang, X. T., Yuan, H. P., Zhou, Y. M., et al. Effect of agent dosage on sludge dewaterability by biological conditioning. Acta Scientiae Circumstantiae, 37 (2017), 6, pp. 2137-2142.
  2. Zhu, S., Lu, S., Song, Y., et al. Investigation of artificial sweetener sucralose in typical drinking water systems. Journal of ZheJiang University (Engineering Science), 53 (2019), 11, pp. 2197-2205.
  3. Shaofei Wu. Study and evaluation of clustering algorithm for solubility and thermodynamic data of glycerol derivatives, Thermal Science, 23(2019), 5, pp.2867-2875
  4. Wu, R., Liu, S. Research Development of Control Technology of Hydrogen Sulfide in Biogas Slurry. Agricultural Science & Technology, 18 (2017), 2, pp. 321-324.
  5. Xu, W., Chang, S., Ming, T., et al. Pretreatment technology of sewage of sludge with sulfate radical (SO4−·). Chinese Journal of Environmental Engineering, 12 (2018), 5, pp. 1528-1535.
  6. Pan, L., Xie, X., Wang, J., et al. Preparation of denitrification and dephosphorization biological fillers and its effect on treatment of rural domestic sewage. Transactions of the Chinese Society of Agricultural Engineering, 33 (2017), 9, pp. 230-236.
  7. Wang, Z. Z., Wang, Z. Y., Zhang, D. J., et al. Arobacter and Clostridium distribution in sewage outlets along Ningbo Coast. Oceanologia et Limnologia Sinica, 47 (2016), 4, pp. 862-868.
  8. Shaofei Wu,A Traffic Motion Object Extraction Algorithm,International Journal of Bifurcation and Chaos, 25(2015),14,Article Number 1540039.
  9. Huang, Z., Huang, Z., Cui, L., et al. Advanced treatment of pig-feeding leftover sewage through enhanced coagulation with biochar-Mg Fe layered double hydroxides via probe into its mechanism. Journal of Safety and Environment, 18 (2018), 1, pp. 236-241.
  10. Li, J., Liu, M., Duan, Y. F., et al. Physicochemical analysis on hydrothermal upgrading of sewage sludge with lignite for solid fuel. Journal of ZheJiang University (Engineering Science), 50 (2016), 2, pp. 327-332.
  11. Zhang, X., Wu, H., Deng, H., et al. Ecological Risk Assessment of Heavy Metalsin Sewage Sludge of Liupanshui Sewage Treatment Plant. Guangzhou Chemical Industry, 2016 (201), 23, pp. 42.
  12. Tang, X., Xie, Y., Long, G., et al. Sulfate attack on concrete in salt crystallization zone of tannery sewage pipeline. Corrosion Science and Protection Technology, 28 (2016), 2, pp. 103-108.
  13. Qiao, J. F., Li, R. X., Chai, W., et al. Prediction of BOD based on PSO-ESN neural network. Control Engineering of China, 23 (2016), 4, pp. 463-467.

© 2022 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence