Abstract
Post-combustion flue gas desulfurization and denitrification technologies are essential in achieving the full compliance of fine particulate matter (PM2.5, aerodynamic diameter less than 2.5 μm) air quality standards by 2030 in China as sulfur dioxide (SO2) and nitrogen oxides (NOX) are the main precursors of PM2.5. Some studies have addressed the performance evaluation of desulfurization technology, but none included the water-soluble ions (sulfate (SO42−), nitrate (NO3−), etc.) as an indicator nor accounted for uncertainty involved. In this study, we present a multilevel fuzzy method that integrates the analytic hierarchy process with fuzzy theory, defines SO42−concentration as a new environmental indicator, and is supplemented with an uncertainly analysis and apply the method for the techno-economic and environmental evaluation of desulfurization and denitrification technologies in six typical enterprises (including two power plants and three industrial production plants and a waste incineration plant) in Chengdu, China. The evaluation shows that first, the fluctuating desulfurization rate and the dosage leads to changed ranking of the economic and technical secondary evaluation results, with the overall comprehensive evaluation ranks unchanged. Second, from the perspective of environmental protection agency and the public, if the environmental indicators are empowered, the lower the SO42−concentration of an enterprise, the better its evaluation ranking will be and vice versa. Third, if we re-empower from the perspective of the enterprise, under the condition that the technical feasibility is met and the environmental indicators are basically up to standard, the low-cost removing process is more likely to be the tendency of the enterprise. In summary, the findings of the study have led to the conclusions that (1) for the power industry, the integration of desulfurization, denitrification, and dedusting technologies should be promoted rigorously; (2) the non-power industry should continue the end-of-pipe treatment and environmental protection regulatory policies of the power industry; and (3) the energy industry structure should be optimized with enhanced end-of-pipe control technologies to achieve deep reduction of air pollutants.
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References
Baswaraj SA, Sreenivasa Rao M, Pawar PJ (2018) Application of AHP for process parameter selection and consistency verification in secondary steel manufacturing. Mater Today: Proc 5:27166–27170. https://doi.org/10.1016/j.matpr.2018.09.027
Chen X et al (2019) Emission characteristics of fine particulate matter from ultra-low emission power plants. Environ Pollut (Barking, Essex : 1987) 113157-113157:255. https://doi.org/10.1016/j.envpol.2019.113157
Fan M-Y et al (2019) Isotope-based source apportionment of nitrogen-containing aerosols: a case study in an industrial city in China. Atmos Environ 212:96–105. https://doi.org/10.1016/j.atmosenv.2019.05.020
Fernández-Dacosta C et al (2017) Prospective techno-economic and environmental assessment of carbon capture at a refinery and CO2 utilisation in polyol synthesis. J CO2 Util 21:405-422 https://doi.org/10.1016/j.jcou.2017.08.005
Funtowicz, Ravetz JR (1994) Uncertainty,complexity and post-normal science 12:1881-1885 doi: https://doi.org/10.1002/etc.5620131203
Hong Y et al (2019) Water-soluble ion components of PM10 during the winter-spring season in a typical polluted city in Northeast China. Environ Sci Pollut Res Int 26:7055–7070. https://doi.org/10.1007/s11356-019-04199-x
Jeong C-H, Lee D-W, Kim E, Hopke PK (2004) Measurement of real-time PM 2.5 mass, sulfate, and carbonaceous aerosols at the multiple monitoring sites. Atmos Environ 38
Kim H-S, Huh J-B, Hopke PK, Holsen TM, Yi S-M (2007) Characteristics of the major chemical constituents of PM 2.5 and smog events in Seoul, Korea in 2003 and 2004. Atmos Environ 41
Kloprogge P, van der Sluijs JP, Petersen AC (2011) A method for the analysis of assumptions in model-based environmental assessments. Environ Model Softw 26:289–301. https://doi.org/10.1016/j.envsoft.2009.06.009
Li Z, Jiang J, Ma Z, Fajardo OA, Deng J, Duan L (2017) Influence of flue gas desulfurization (FGD) installations on emission characteristics of PM2.5 from coal-fired power plants equipped with selective catalytic reduction (SCR). Environ Pollut 230:655–662. https://doi.org/10.1016/j.envpol.2017.06.103
Liu Z, Hu B, Ji D, Cheng M, Gao W, Shi S, Xie Y, Yang S, Gao M, Fu H, Chen J, Wang Y (2019) Characteristics of fine particle explosive growth events in Beijing, China: seasonal variation, chemical evolution pattern and formation mechanism. Sci Total Environ 687:1073–1086. https://doi.org/10.1016/j.scitotenv.2019.06.068
Ma Z, Li Z, Jiang J, Deng J, Zhao Y, Wang S, Duan L (2017) PM2.5 Emission reduction by technical improvement in a typical coal-fired power plant in China. Aerosol Air Qual Res 17:636–643. https://doi.org/10.4209/aaqr.2016.05.0200
Minguillón MC, Arhami M, Schauer JJ, Sioutas C (2008) Seasonal and spatial variations of sources of fine and quasi-ultrafine particulate matter in neighborhoods near the Los Angeles–Long Beach harbor. Atmos Environ 42
van der Spek M, Sanchez Fernandez E, Eldrup NH, Skagestad R, Ramirez A, Faaij A (2017) Unravelling uncertainty and variability in early stage techno-economic assessments of carbon capture technologies. Int J Greenhouse Gas Control 56:221–236. https://doi.org/10.1016/j.ijggc.2016.11.021
Wang Y, Cheng K, Tian H-Z, Yi P, Xue Z-G (2016) Emission characteristics and control prospects of primary PM2.5 from fossil fuel power plants in China. Aerosol Air Qual Res 16:3290–3301. https://doi.org/10.4209/aaqr.2016.07.0324
Wu J, Wang H, Yao L, Kang Z, Zhang Q (2019) Comprehensive evaluation of voltage stability based on EW-AHP and Fuzzy-TOPSIS. Heliyon 5:e02410. https://doi.org/10.1016/j.heliyon.2019.e02410
Xie H et al (2018) Fuzzy comprehensive level analysis based waste disposal safety evaluating method, involves determining influence factor evaluation index membership function and fuzzy evaluation matrix, and comprehensively evaluating waste disposal safety. CN109034619-A
Xie Y, Lu H, Yi A, Zhang Z, Zheng N, Fang X, Xiao H (2020) Characterization and source analysis of water–soluble ions in PM2.5 at a background site in Central China. Atmos Res:104881 https://doi.org/10.1016/j.atmosres.2020.104881
Yagmur L (2016) Multi-criteria evaluation and priority analysis for localization equipment in a thermal power plant using the AHP (analytic hierarchy process). Energy 94:476–482. https://doi.org/10.1016/j.energy.2015.11.011
Yang Z, Li W, Li X, Wang Q, He J (2019) Assessment of eco-geo-environment quality using multivariate data: a case study in a coal mining area of Western China. Ecol Indic 107. https://doi.org/10.1016/j.ecolind.2019.105651
Yu L, Jiang Z, Jian G, Wu Y, Wang J, Lin B (2019) Combination evaluation study on new energy projects in electric power enterprise based on fuzzy hierarchical evaluation method. Int J Ambient Energy. https://doi.org/10.1080/01430750.2019.1684998
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zhang X, Zhang G, Gong X, Li Y, Ran Y (2018) Reliability fuzzy comprehensive evaluation of all factors in CNC machine tool assembly process. Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation. doi:https://doi.org/10.1007/978-981-10-7986-3_12
Zhou J, Xing Z, Deng J, Du K (2016) Characterizing and sourcing ambient PM2.5 over key emission regions in China I: water-soluble ions and carbonaceous fractions. Atmos Environ 135:20–30. https://doi.org/10.1016/j.atmosenv.2016.03.054
Acknowledgments
National Engineering Research Center for Flue Gas Desulfurization, Sichuan University and Key Laboratory of Air Pollution Research, and Chengdu Academy of Environmental Sciences, Chengdu, Sichuan, are acknowledged.
Funding
This work is supported by Sichuan Science and Technology Program (2020JDTD0005) and National Natural Science Foundation of China (No.51978427).
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Liu, H., Tan, Q., Jiang, X. et al. Comprehensive evaluation of flue gas desulfurization and denitrification technologies of six typical enterprises in Chengdu, China. Environ Sci Pollut Res 27, 45824–45835 (2020). https://doi.org/10.1007/s11356-020-10460-5
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DOI: https://doi.org/10.1007/s11356-020-10460-5