Citation: | WANG Biyun, SUN Ailin, XU Xuehuang. STRATEGIES AND PROJECT CASE OF WASTEWATER TREATMENT PLANTS RENEWAL AND REFORMATION FOR THE DUAL-CARBON GOAL[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(11): 81-89. doi: 10.13205/j.hjgc.202411009 |
[1] |
刘春霞,孙鹏飞,吴晓辉,等."双碳"背景下污水处理行业降碳减排路径探析[J].环境工程,2023,41(增刊1): 135-127.
|
[2] |
张小寒,孟庆杰,徐雪,等."双碳"背景下污水处理厂提标改造所面临的困境及出路[J].给水排水,2023,49(增刊1): 194-200.
|
[3] |
王洪臣.我国城镇污水处理行业碳减排路径及潜力[J].给水排水,2017,53(3): 1-3.
|
[4] |
宋新新,林甲,刘杰,等.碳中和视野下面向未来污水处理关键技术研发与工程实践:"面向未来污水处理厂关键技术研发与工程示范"专栏序言[J].环境科学学报,2022:1-6.
|
[5] |
陆家缘.中国污水处理行业碳足迹与减排潜力分析[D].合肥:中国科学技术大学,2019.
|
[6] |
Gu Y F,LI Y,LI X Y,et al. The feasibility and challenges of energy self-sufficient wastewater treatment plants[J]. Applied Energy, 2017,204:1463-1475.
|
[7] |
IPCC.2019 refinement to the 2006 IPCC guidelines for national greenhouse gas inventory[R].IPCC,2019.
|
[8] |
中国环境科学研究院编制组.城镇污水处理厂污染物去除协同控制温室气体核算技术指南[R].北京:生态环境部,2018.
|
[9] |
中国环境保护产业协会. 污水处理厂低碳运行评价技术规范:T/CAEPI49—2022[S].2022.
|
[10] |
中国城镇供水排水协会.城镇水务系统碳核算与减排路径技术指南[M].北京:中国建筑工业出版社,2022.
|
[11] |
郝晓地,李天宇,吴远远,等.A2/O工艺用于污水处理厂升级改造的适宜性探讨[J].中国给水排水,2017,33(21):18-24.
|
[12] |
燕书权,王睿宁,宋蕾.基于LCA 的污水处理厂提标改造环境影响负荷研究[J].环境工程,2016,34(12): 167-171.
|
[13] |
LING CHIN J, HEI DRICH O, ROSKILLY A P. Life cycle assessment(LCA)-from analysing methodology development to introducing an LCA framework for marine photovoltaic systems[J].Renewable and Sustainable Energy Re-views,2016,59: 352-378.
|
[14] |
LOUBET P, ROUX P, GU RIN-SCHNEIDER L, et al. Life cycle assessment of forecasting scenarios for urban water management: a first implementation of the WaLA model on Paris suburban area[J].Water Research, 2016,90:128-140.
|
[15] |
曹业始,郑兴灿,刘智晓,等.中国城市污水处理的瓶颈、缘由及可能的解决方案[J].北京工业大学学报, 2021,47(11):1292-1302.
|
[16] |
LUO L, DZAKPASU M, YANG B C, et al. A novel index of total oxygen demand for the comprehensive evaluation of energy consumption for urban wastewater treatment[J]. Applied Energy, 2019,236:253-261.
|
[17] |
吴宇行,王晓东,陈宁,等.典型城镇污水处理厂碳源智能投加控制生产性试验[J].环境工程,2022,40(6):212-218
,271.
|
[18] |
韩广.基于神经网络的污水处理过程实时优化控制研究[D].北京:北京工业大学,2014.
|
[19] |
韩红桂,张璐,卢薇,等.城市污水处理过程动态多目标智能优化控制研究[J].自动化学报,2021,47(3): 620-629.
|
[20] |
杨红.污水生化处理的智能建模与优化控制策略应用研究[D].广州:华南理工大学,2010.
|
[21] |
邱勇,李冰,刘垚,等.污水处理厂化学除磷自动控制系统优化研究[J].给水排水,2016,52(7): 126-129.
|
[22] |
谢琤琤,刘刚.城市污水处理厂碳中和路径解析[J].环境工程,2023,41(9):181-186.
|
[23] |
包遵胜,熊晓励,刘纪成,等.某污水深度处理厂人工精细化调控碳源投加量的探究[J].环境工程,2023,41(4): 137-142.
|
[24] |
邱德志,陈纯,郭丽,等.基于排放因子法的中国主要城市群城镇污水厂温室气体排放特征[ J]. 环境工程,2022,40(6):116-122.
|
[25] |
鲍志远. 典型城市污水处理工艺温室气体排放特征及减排策略研究[D]. 北京:北京林业大学,2019.
|
[26] |
谢淘,汪诚文. 污水处理厂温室气体排放评估[J]. 清华大学学报 (自然科学版), 2012, 52(4): 473-477.
|
[27] |
刘阳,施周,文宇鸿,等.城镇污水系统碳核算方法研究及典型工艺减碳路径分析[J].给水排水,2024,50(1):37-45.
|
[28] |
张翔宇,范业弘,朱晗彬,等.城镇中小规模污水处理厂碳排放分析及碳削减对策[J].环境科学, 2024,32(1):1-14.
|
[29] |
SUN S C, CHENG X, SUN D Z. Emission of N2O from a full-scale sequencing batch reactor wastewater treatment plant: characteristics and 14 influencing factors[J]. International Biodeterioration & Biodegradation,2013,85(7):545-549.
|
[30] |
GRUBER W, VON K L, VOGT L, et al. Estimation of countrywide N2O emissions from wastewater treatment in Switzerland using long-term monitoring data[J/OL]. Water Research,2021,13,doi: 10.1016/j.wroa.2021.100122.
|
[31] |
ZHANG X H, WEI Y, PAN H Y, et al. The comparison of performances of a sewage treatment system before and after implementing the cleanerproduction measure[J]. Journal of Cleaner Production,2015,91:216-228.
|
[32] |
马九利,王伟,黄继会,等.进水泵房恒液位恒流量自控系统改造效能评估[J].中国给水排水,2023,39(2):109-112.
|
[33] |
郭恰.上海污水处理 AAO 工艺碳排放情况及影响因素分析[J].净水技术,2020,39(10):137-139
,148.
|
[34] |
SEIXAS F L, GIMENES M L, FERNANDES N R C. Treatment of vinasse by adsorption on carbon from sugar cane bagasse[J]. Quimica nova,2016,39(2):172-179.
|
[35] |
WANG H C, JIANG C C, WANG X, et al. Application of internal carbon source from sewage sludge: a vital measure to improve nitrogen removalefficiency of low C/N wastewater[J/OL]. Water,2021,13(17),doi: 10.3390/w13172338.
|
[36] |
PRESURA E, ROBESCU D L. Energy use and carbon footprint for potable water and wastewater treatment[J]. Proceedings of the International Conference on Business Excellence,2017,11(1):191-198.
|