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Comprehensive Evaluation of Sustainable Treatment Technology of Oily Sludge Based on AHP-FCE

Clean Energy and Sustainability. 2023, 1(1), 10007; https://doi.org/10.35534/ces.2023.10007
Jiwei Wu 1    Shifan Zhang 2    Jian Li 3    Jiankun Liu 4    Haocheng Sun 4    Zixian Jia    Ye Xia 5    Jie Liu 6    Dongliang Pan 6    Jianqiang Sun 6    Xianzhong Yi 3    Liang Ma 1 *   
1
College of Carbon Neutrality Future Technology, Sichuan University, Chengdu 610065, China
2
School of Future Technology, China University of Geosciences, Wuhan 430074, China
3
School of Mechanical Engineering, Yangtze University, Jingzhou 434023, China
4
Dalian Petrochemical Research Institute, Dalian 116045, China
5
Sinopec Shengli Petroleum Engineering Co., Ltd., Dongying 257000, China
6
College of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, China
*
Authors to whom correspondence should be addressed.

Received: 04 Aug 2023    Accepted: 18 Sep 2023    Published: 07 Oct 2023   

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Abstract

Oil is an unsustainable energy since it is non-renewable. However, oil may not be completely replaced in a short time, so the environmental problems caused by the oil development still require our attention. The oily sludge is a kind of hazardous waste produced during the oil development. To reduce the environmental impact caused by oily sludge, low-carbon and sustainable treatment technologies need to be selected. The incineration, chemical extraction and thermal desorption are common technologies for treatment of oily sludge. We calculated the carbon emissions of these technologies. Then the index evaluation system of oily sludge treatment technology was established with the environmental, economic, social, and technical factors. And the weight of evaluation index was determined by the analytic hierarchy process (AHP). Through the investigation of industry experts, we evaluated the treatment technologies by the fuzzy comprehensive evaluation method (FCE). The results showed that the carbon emissions of incineration are 42.70 t CO2-eq/t which is the highest. Meanwhile, it is 4.80 t CO2-eq/t and 0.10 t CO2-eq/t for chemical extraction and thermal desorption, respectively. The comprehensive scores of incineration, chemical extraction and thermal desorption were 4.59, 5.16 and 4.95, respectively. Therefore, the chemical extraction technology is an optimal treatment technology for oily sludge with the relatively low carbon emission and the highest comprehensive technical score. At the same time, the thermal desorption technology has strong application potential with the lowest carbon emissions. This result provides a reference for achieving clean and sustainable energy development processes.

Keywords

Oily sludge; Clean technology; Carbon emissions; Analytic hierarchy process; Fuzzy comprehensive evaluation

References

1.
Wang Y. Research and application of oil sludge resource utilization technology in oil field.  IOP Conf. Ser. Earth Environ. Sci. 2018, 170, 032026. [Google Scholar]
2.
Teng Q, Zhang D, Yang C. A review of the application of different treatment processes for oily sludge. Environ. Sci. Pollut. Res. 2021, 28, 121–132. [Google Scholar]
3.
Hu G, Feng H, He P, Li J, Hewage K, Sadig R. Comparative life-cycle assessment of traditional and emerging oily sludge treatment approaches.  J. Clean. Prod. 2020, 251, 119594. [Google Scholar]
4.
Cai H, Yao X, Hua S, Xu C, Gong H, Li X, Wu B. Solidification treatment technology of oil-based drilling cuttings in shale gas well.  Chin. J. Environ. Eng. 2017, 11, 3120–3127. [Google Scholar]
5.
Zhu M. Experimental Study and Numerical Simulation of Supercritical Carbon Dioxide Extraction of Petroleum from Solid Phase; Southwest Petroleum University: Chengdu, China, 2017
6.
Guo J, Zhang Z, Sun Q. Research and Application of Analytic Hierarchy Process.  China Safety Sci. J. 2008, 18, 148–153. [Google Scholar]
7.
Sun W, Wang JL, Feng CM, Cao P, Han W. Weighting of performance index by analytic hierarchy process for water supply enterprises.  Appl. Mech. Mater. 2013, 409, 1004–1007. [Google Scholar]
8.
Xu X, Tan Q, Liu L, Li J. Evaluation of medical waste disposal technology based on Analytic Hierarchy process.  Environ. Sci. 2018, 39, 5717–5722. [Google Scholar]
9.
Wang Q, Wang B, Yu H. Evaluation of electrolytic manganese wastewater treatment technology based on Analytic Hierarchy process.  J. Environ. Eng. 2013, 7, 4714–4718. [Google Scholar]
10.
Li Y, Zhu C, Li H. Evaluation of agricultural non-point source pollution control technology based on Analytic Hierarchy process.  J. Environ. Eng. Technol. 2019, 9, 355–361. [Google Scholar]
11.
Xiong D, Xian X. Improvement of fuzzy comprehensive evaluation method.  J. Chongqing Univ. Nat. Sci. 2003, 26, 93–95. [Google Scholar]
12.
Liu H, Li L, Jiang B, Ni L, Yang J. Application of fuzzy comprehensive evaluation method in technical evaluation of end water treatment in industrial park.  Environ. Pollut. Control 2017, 39, 644–648. [Google Scholar]
13.
Wang J, Guo J, Lian X. A comparative study of two improved gray Myron analysis methods.  J. North China Electr. Power Univ. 2005, 32, 72–76. [Google Scholar]
14.
Yu H, Zhang K. The application of grey relational analysis model in the performance evaluation of agricultural product logistics companies.  Appl. Mech. Mater. 2014, 687, 5165–5168. [Google Scholar]
15.
Brady SR. Utilizing and adapting the Delphi method for use in qualitative research.  Int. J. Qual. Methods 2015, 14, 1609406915621381. [Google Scholar]
16.
Lim DJ. Technology forecasting using DEA in the presence of infeasibility.  Int. Trans. Oper. Res. 2018, 25, 1695–1706. [Google Scholar]
17.
Han L, Mei Q, Lu Y, Ji M. Analysis and Research of AHP-Fuzzy Comprehensive Evaluation Method.  China Safety Sci. J. 2004, 14, 89–92. [Google Scholar]
18.
Ruan J, Wang Y, Guo Y. Evaluation of water pollution control technology in zinc smelting industry based on AHP and fuzzy comprehensive evaluation.  J. Environ. Eng. Technol. 2021, 11, 976–982. [Google Scholar]
19.
Shi F, Wang W, Dan Z, Yao Y, Yuan W, Yin S, et al. Evaluation of whole process control technology for electrolytic manganese wastewater based on AHP-FCE.  Nonferrous Metals (Smelting) 2022, 7, 109–116. [Google Scholar]
20.
Li J, Shen L, Wang L, Huang J, Qian F, Zeng P, et al. Evaluation of cleaner production technology in pharmaceutical industry based on AHP-FCE model.  J. Environ. Eng. Technol. 2022, 12, 1541–1547. [Google Scholar]
21.
Shao L, Chen G. Evaluation of heavy metal pollution prevention technology based on AHP-FCE. In Proceedings of the International Conference on Biological Engineering and Pharmacy 2016 (BEP 2016), Shanghai, China, 9–11 December 2016; pp. 223–226.
22.
Đurđević D, Trstenjak M, Hulenić I. Sewage sludge thermal treatment technology selection by utilizing the analytical hierarchy process.  Water 2020, 12, 1255. [Google Scholar]
23.
Gao CJ, Li DP. Fuzzy comprehensive assessment on environmental impact of petroleum project.  Appl. Mech. Mater. 2013, 295, 734–737. [Google Scholar]
24.
Huyen DTT, Tram LTB, Truong HN, Thanh TT. Application of fuzzy analytic hierarchy process and linear goal programing for selection of best available techniques of the cold rolled coil manufacturing processes: A case study in Binh Duong, Vietnam.  Environ. Qual. Manag. 2022, 31, 325–346. [Google Scholar]
25.
You Y, Peng Z, Dai D, Sang Z, Luo H, Jia Y, et al. Calculation and analysis of carbon emissions in the whole life cycle of 40.5 KVC-GIS.  High Voltage Electr. Appl. 2022, 58, 13–19. [Google Scholar]
26.
Ministry of Ecology and Environment of China. Notice on the Management of Greenhouse Gas Emission Report of Power Generation. Enterprises from 2023 to 2025 [EB/0L]. Available online: https://www.mee.gov.cn/xxgk2018/xxgk/xxgk06/202302/t20230207_1015569.html (accessed on 7 February 2023).
27.
IPCC. 2006 IPCC Guidelines for National Greenhouse Gas Inventory; IPCC: Geneva, Switzerland, 2006.
28.
Kang D, Lin H, Niu D, Tian G, Xu R, Zhang Z, et al. Research progress and prospect of oily sludge characteristics and treatment technology.  China Environ. Sci. 2023, 43, 4106–4120. [Google Scholar]
29.
Pu H, Luo K, Zhang S. Risk assessment model for different foodstuff drying methods via AHP-FCE method: A case study of “coal-burning” fluorosis area of Yunan and Guizhou Province, China.  Food Chem. 2018, 263, 74–80. [Google Scholar]
30.
Shi F, Wang W, Dan Z, Yao Y, Yuan W, Yin S, et al. Evaluation of Whole-process Control Technology of Wastewater in Electrolytic Manganese Industry Based on AHP-FCE Model.  Nonferrous Metals (Extractive Metallurgy) 2022, 7, 109–116. [Google Scholar]
31.
Control Standards of Pollutants in Sludge for Agricultural Use. GB 4284-2018; Standardization Administration of the People's Republic of China: Beijing, China, 2018.
32.
Emission Standard of Pollutants for Petroleum Refining Industry. GB 31570-2015; State Environmental Protection Administration of China; State Bureau of Technical Supervision: Beijing, China, 2015.
33.
Varjani SJ, Gnansounou E, Pandey A. Comprehensive review on toxicity of persistent organic pollutants from petroleum refinery waste and their degradation by microorganisms.  Chemosphere 2017, 188, 280–291. [Google Scholar]
34.
Roudneshin M, Azadeh A. A novel multi-objective fuzzy model for optimization of oil sludge management by considering Health, Safety and Environment (HSE) and resiliency indicators in a gas refinery.  J. Clean. Prod. 2019, 206, 559–571. [Google Scholar]
35.
Xiong D, Wang C. Physical characteristics and environmental risks assessment of oil-based drilling cuttings residues used for subgrade materials. J. Clean. Prod. 2021, 323, 129152. [Google Scholar]
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