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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

邮发代号 80-973

2018 Impact Factor: 3.883

Frontiers of Environmental Science & Engineering  2022, Vol. 16 Issue (9): 117   https://doi.org/10.1007/s11783-022-1549-0
  本期目录
Energy neutrality potential of wastewater treatment plants: A novel evaluation framework integrating energy efficiency and recovery
Runyao Huang1,2, Jin Xu1, Li Xie1,3, Hongtao Wang1,2,3(), Xiaohang Ni1
1. Key Laboratory of Yangtze River Water Environment, Ministry of Education, State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
2. UNEP-Tongji Institute of Environment for Sustainable Development, Tongji University, Shanghai 200092, China
3. Shanghai Institute of Pollution Control and Ecological Security, Tongji University, Shanghai 200092, China
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Abstract

• Framework of indicators was established based on energy efficiency and recovery.

• Energy neutrality potential of 970 wastewater treatment plants was evaluated.

• Analysis of characteristics and explanatory factors was carried out.

• Pathways for improving the energy neutrality potential were proposed.

Wastewater treatment plants (WWTPs) consume large amounts of energy and emit greenhouse gases to remove pollutants. This study proposes a framework for evaluating the energy neutrality potential (ENP) of WWTPs from an integrated perspective. Operational data of 970 WWTPs in the Yangtze River Economic Belt (YREB) were extracted from the China Urban Drainage Yearbook 2018. The potential chemical and thermal energies were estimated using combined heat and power (CHP) and water source heat pump, respectively. Two key performance indicators (KPIs) were then established: the energy self-sufficiency (ESS) indicator, which reflects the offset degree of energy recovery, and the comprehensive water–energy efficiency (CWEE) indicator, which characterizes the efficiency of water–energy conversion. For the qualitative results, 98 WWTPs became the benchmark (i.e., CWEE= 1.000), while 112 WWTPs were fully self-sufficient (i.e., ESS≥100%). Subsequently, four types of ENP were classified by setting the median values of the two KPIs as the critical value. The WWTPs with high ENP had high net thermal energy values and relatively loose discharge limits. The explanatory factor analysis of water quantity and quality verified the existence of scale economies. Sufficient carbon source and biodegradability condition were also significant factors. As the CWEE indicator was mostly sensitive to the input of CHP, future optimization shall focus on the moisture and organic content of sludge. This study proposes a novel framework for evaluating the ENP of WWTPs. The results can provide guidance for optimizing the energy efficiency and recovery of WWTPs.

Key wordsWastewater treatment plants    Energy neutrality potential    Energy efficiency    Energy recovery    Evaluation framework
收稿日期: 2021-10-21      出版日期: 2022-02-14
Corresponding Author(s): Hongtao Wang   
 引用本文:   
. [J]. Frontiers of Environmental Science & Engineering, 2022, 16(9): 117.
Runyao Huang, Jin Xu, Li Xie, Hongtao Wang, Xiaohang Ni. Energy neutrality potential of wastewater treatment plants: A novel evaluation framework integrating energy efficiency and recovery. Front. Environ. Sci. Eng., 2022, 16(9): 117.
 链接本文:  
https://academic.hep.com.cn/fese/CN/10.1007/s11783-022-1549-0
https://academic.hep.com.cn/fese/CN/Y2022/V16/I9/117
Fig.1  
Variable Label Unit
Total electricity consumption for basic operation Coperation kWh
Energy consumed by combined heat and power CCHP kWh
Energy consumed by water source heat pump CWSHP kWh
Energy recovered by combined heat and power ECHP kWh
Energy recovered by water source heat pump EWSHP kWh
Pollutant removal Rpollutant* 103 kg
Tab.1  
Cluster of energy neutrality potential Description
High Relatively high ESS and CWEE
Medium I Relatively high ESS but low CWEE
Medium II Relatively high CWEE but low ESS
Low Relatively low ESS and CWEE
Tab.2  
Fig.2  
Fig.3  
Fig.4  
Cluster of energy neutrality potential Sample number (Proportion rate) Chi2 test
Upstream Midstream Downstream χ2 p-value
High 78 (33.1%) 87 (31.8%) 111 (24.1%) 101.601 <0.001
Medium I 36 (15.3%) 105 (38.3%) 68 (14.8%)
Medium II 67 (28.4%) 22 (8.0%) 121 (26.3%)
Low 55 (23.3%) 60 (21.9%) 160 (34.8%)
Tab.3  
Fig.5  
Explanatory factor Mean rank in each cluster Kruskal–Wallis H test
Low Medium High χ2 p-value
Treatment capacity (104 m3/d) 351.01 510.76 581.15 98.956 <0.001
Sludge production (kg/a) 393.53 516.31 530.37 41.780 <0.001
Influent COD concentration (mg/L) 420.12 491.18 542.01 26.382 <0.001
Influent BOD5/COD 430.65 491.69 530.75 17.949 <0.001
Influent COD/TN 486.05 504.51 456.09 4.973 0.083
Influent BOD5/TP 488.36 479.35 491.98 0.378 0.828
Tab.4  
Fig.6  
1 China Urban Water Association (2019). Urban Drainage Statistics Yearbook 2018.Beijing: China Urban Water Association (in Chinese)
2 S Di Fraia, N Massarotti, L Vanoli (2018). A novel energy assessment of urban wastewater treatment plants. Energy Conversion and Management, 163: 304–313
https://doi.org/10.1016/j.enconman.2018.02.058
3 Y F Gu, Y Li, X Li, P Z Luo, H T Wang, Z P Robinson, X Wang, J Wu, F T Li (2017). The feasibility and challenges of energy self-sufficient wastewater treatment plants. Applied Energy, 204: 1463–1475
https://doi.org/10.1016/j.apenergy.2017.02.069
4 X Hao, Q Chen, J Li, H Jiang (2019a). The ultimate approach to handle excess sludge: Incineration and drying. China Water & Wastewater, 35(4): 35–42 (in Chinese)
5 X Hao, J Li, M C M van Loosdrecht, H Jiang, R Liu (2019b). Energy recovery from wastewater: Heat over organics. Water Research, 161: 74–77
https://doi.org/10.1016/j.watres.2019.05.106 pmid: 31181448
6 V Hernández-Chover, Á Bellver-Domingo, F Hernández-Sancho (2018). Efficiency of wastewater treatment facilities: The influence of scale economies. Journal of Environmental Management, 228: 77–84
https://doi.org/10.1016/j.jenvman.2018.09.014 pmid: 30212677
7 D Huang, X Liu, S Jiang, H Wang, J Wang, Y Zhang (2018). Current state and future perspectives of sewer networks in urban China. Frontiers of Environmental Science & Engineering, 12(3): 2
https://doi.org/10.1007/s11783-018-1023-1
8 R Y Huang, Z H Shen, H T Wang, J Xu, Z S Ai, H Y Zheng, R X Liu (2021). Evaluating the energy efficiency of wastewater treatment plants in the Yangtze River Delta: Perspectives on regional discrepancies. Applied Energy, 297: 117087
https://doi.org/10.1016/j.apenergy.2021.117087
9 R X Liu, R Y Huang, Z H Shen, H T Wang, J Xu (2021). Optimizing the recovery pathway of a net-zero energy wastewater treatment model by balancing energy recovery and eco-efficiency. Applied Energy, 298: 117157
https://doi.org/10.1016/j.apenergy.2021.117157
10 J Y Lu, X M Wang, H Q Liu, H Q Yu, W W Li (2019). Optimizing operation of municipal wastewater treatment plants in China: The remaining barriers and future implications. Environment International, 129: 273–278
https://doi.org/10.1016/j.envint.2019.05.057 pmid: 31146161
11 M Maktabifard, E Zaborowska, J Makinia (2018). Achieving energy neutrality in wastewater treatment plants through energy savings and enhancing renewable energy production. Reviews in Environmental Science and Biotechnology, 17(4): 655–689
https://doi.org/10.1007/s11157-018-9478-x
12 Ministry of Ecology and Environment (2020). List of municipal wastewater treatment facilities in China 2020 (1st and 2nd Batches). Available online at (in Chinese, Accessed September 4, 2021)
13 S Nakkasunchi, N J Hewitt, C Zoppi, C Brandoni (2021). A review of energy optimization modelling tools for the decarbonisation of wastewater treatment plants. Journal of Cleaner Production, 279: 123811
https://doi.org/10.1016/j.jclepro.2020.123811
14 D Pan, W Hong, F Kong (2020). Efficiency evaluation of urban wastewater treatment: Evidence from 113 cities in the Yangtze River Economic Belt of China. Journal of Environmental Management, 270: 110940
https://doi.org/10.1016/j.jenvman.2020.110940 pmid: 32721357
15 J H Qu, H C Wang, K J Wang, G Yu, B Ke, H Q Yu, H Q Ren, X C Zheng, J Li, W W Li, S Gao, H Gong (2019). Municipal wastewater treatment in China: Development history and future perspectives. Frontiers of Environmental Science & Engineering, 13(6): 88
https://doi.org/10.1007/s11783-019-1172-x
16 J H Qu, H Q Ren, H C Wang, K J Wang, G Yu, B Ke, H Q Yu, X C Zheng, J Li (2022). China launched the first wastewater resource recovery factory in Yixing. Frontiers of Environmental Science & Engineering, 16(1): 13
https://doi.org/10.1007/s11783-021-1496-1
17 X Quan, K Huang, M Li, M Lan, B Li (2018). Nitrogen removal performance of municipal reverse osmosis concentrate with low C/N ratio by membrane-aerated biofilm reactor. Frontiers of Environmental Science & Engineering, 12(6): 5
https://doi.org/10.1007/s11783-018-1047-6
18 G Sarpong, V G Gude, B S Magbanua, D D Truax (2020). Evaluation of energy recovery potential in wastewater treatment based on codigestion and combined heat and power schemes. Energy Conversion and Management, 222: 113147
https://doi.org/10.1016/j.enconman.2020.113147
19 K Smith, S Guo, Q Zhu, X Dong, S Liu (2019). An evaluation of the environmental benefit and energy footprint of China’s stricter wastewater standards: Can benefit be increased? Journal of Cleaner Production, 219: 723–733
https://doi.org/10.1016/j.jclepro.2019.01.204
20 A Strazzabosco, S J Kenway, P A Lant (2019). Solar PV adoption in wastewater treatment plants: A review of practice in California. Journal of Environmental Management, 248: 109337
https://doi.org/10.1016/j.jenvman.2019.109337 pmid: 31386989
21 H T Wang, Y Yang, A A Keller, M Li, S J Feng, Y N Dong, F T Li (2016). Comparative analysis of energy intensity and carbon emissions in wastewater treatment in USA, Germany, China and South Africa. Applied Energy, 184: 873–881
https://doi.org/10.1016/j.apenergy.2016.07.061
22 L Wang, Z Li, X Shen, L Wang (2020). Analysis of emission reduction efficiency and driving factors of sewage treatment facilities in the Yangtze River Economic Belt—Based on WSBM-CLAD model. Chinese Journal of Environmental Management, 12: 68–76 (in Chinese)
23 D Wu, X Li, X Li (2021). Toward energy neutrality in municipal wastewater treatment: A systematic analysis of energy flow balance for different scenarios. ACS ES&T Water, 1(4): 796–807
https://doi.org/10.1021/acsestwater.0c00154
24 Y T Xiong, J Zhang, Y P Chen, J S Guo, F Fang, P Yan (2021). Geographic distribution of net-zero energy wastewater treatment in China. Renewable & Sustainable Energy Reviews, 150: 111462
https://doi.org/10.1016/j.rser.2021.111462
25 P Yan, R C Qin, J S Guo, Q Yu, Z Li, Y P Chen, Y Shen, F Fang (2017). Net-zero-energy model for sustainable wastewater treatment. Environmental Science & Technology, 51(2): 1017–1023
https://doi.org/10.1021/acs.est.6b04735 pmid: 27943674
26 P Yan, H X Shi, Y P Chen, X Gao, F Fang, J S Guo (2020). Optimization of recovery and utilization pathway of chemical energy from wastewater pollutants by a net-zero energy wastewater treatment model. Renewable & Sustainable Energy Reviews, 133: 110160
https://doi.org/10.1016/j.rser.2020.110160
27 X Yang, J Wei, G Ye, Y Zhao, Z Li, G Qiu, F Li, C Wei (2020). The correlations among wastewater internal energy, energy consumption and energy recovery/production potentials in wastewater treatment plant: An assessment of the energy balance. Science of the Total Environment, 714: 136655
https://doi.org/10.1016/j.scitotenv.2020.136655 pmid: 32018952
28 B Zhang, D Ning, Y Yang, J D Van Nostrand, J Zhou, X Wen (2020a). Biodegradability of wastewater determines microbial assembly mechanisms in full-scale wastewater treatment plants. Water Research, 169: 115276
https://doi.org/10.1016/j.watres.2019.115276 pmid: 31731242
29 Y Zhang, C Zhang, Y Qiu, B Li, H Pang, Y Xue, Y Liu, Z Yuan, X Huang (2020b). Wastewater treatment technology selection under various influent conditions and effluent standards based on life cycle assessment. Resources, Conservation and Recycling, 154: 104562
https://doi.org/10.1016/j.resconrec.2019.104562
30 L W Zhao (2021). List of the first “double hundred leaps” benchmark wastewater treatment plants. E20 Environment Platform, 2021-04-06. Available online at (in Chinese, Accessed November 24, 2021)
31 L X Zou, H B Li, S Wang, K K Zheng, Y Wang, G C Du, J Li (2019). Characteristic and correlation analysis of influent and energy consumption of wastewater treatment plants in Taihu Basin. Frontiers of Environmental Science & Engineering, 13(6): 83
https://doi.org/10.1007/s11783-019-1167-7
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