Cargando…
Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool
Greenhouse gas (GHG) production is one of the urgent problems to be solved in the wastewater treatment industry in the context of “carbon neutrality”. In this study, the carbon emissions and energy consumption of typical wastewater treatment processes in China were evaluated, starting from different...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603784/ https://www.ncbi.nlm.nih.gov/pubmed/36293966 http://dx.doi.org/10.3390/ijerph192013387 |
_version_ | 1784817642579689472 |
---|---|
author | Tian, Yuhe Liu, Shuang Guo, Zheng Wu, Nan Liang, Jiaqi Zhao, Ruihua Hao, Linlin Zeng, Ming |
author_facet | Tian, Yuhe Liu, Shuang Guo, Zheng Wu, Nan Liang, Jiaqi Zhao, Ruihua Hao, Linlin Zeng, Ming |
author_sort | Tian, Yuhe |
collection | PubMed |
description | Greenhouse gas (GHG) production is one of the urgent problems to be solved in the wastewater treatment industry in the context of “carbon neutrality”. In this study, the carbon emissions and energy consumption of typical wastewater treatment processes in China were evaluated, starting from different cities and water treatment plants. Tool of Energy Performance and Carbon Emission Assessment and Monitoring (ECAM) was used. By comparing the influent BOD(5), it was found that the energy consumption for wastewater treatment was positively correlated with the influent organic load. The annual CH(4) emission of Xi’an WWTP can reach 19,215 t CO(2)eq. Moreover, GHGs are closely related to the wastewater treatment process chosen. WWTP B of Kunming used only an anaerobic process without continuous aeration, with an average monthly energy consumption of 8.63 × 10(5) kW·h. The proportion of recoverable biogas was about 90% in the GHG discharged by the traditional process. However, the anaerobic digestion-thermoelectric cogeneration process can make the recovery of the biogas utilization ratio reach 100%. Compared to the Shuozhou WWTP and WWTP A of Kunming, the Strass WWTP served the smallest population and had the largest treatment capacity, reaching the lowest energy consumption, consuming only 23,670 kW·h per month. The evaluation and analysis of ECAM provide data support and research foundation for the wastewater treatment plants to improve energy utilization and reduce greenhouse gas emissions. |
format | Online Article Text |
id | pubmed-9603784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96037842022-10-27 Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool Tian, Yuhe Liu, Shuang Guo, Zheng Wu, Nan Liang, Jiaqi Zhao, Ruihua Hao, Linlin Zeng, Ming Int J Environ Res Public Health Article Greenhouse gas (GHG) production is one of the urgent problems to be solved in the wastewater treatment industry in the context of “carbon neutrality”. In this study, the carbon emissions and energy consumption of typical wastewater treatment processes in China were evaluated, starting from different cities and water treatment plants. Tool of Energy Performance and Carbon Emission Assessment and Monitoring (ECAM) was used. By comparing the influent BOD(5), it was found that the energy consumption for wastewater treatment was positively correlated with the influent organic load. The annual CH(4) emission of Xi’an WWTP can reach 19,215 t CO(2)eq. Moreover, GHGs are closely related to the wastewater treatment process chosen. WWTP B of Kunming used only an anaerobic process without continuous aeration, with an average monthly energy consumption of 8.63 × 10(5) kW·h. The proportion of recoverable biogas was about 90% in the GHG discharged by the traditional process. However, the anaerobic digestion-thermoelectric cogeneration process can make the recovery of the biogas utilization ratio reach 100%. Compared to the Shuozhou WWTP and WWTP A of Kunming, the Strass WWTP served the smallest population and had the largest treatment capacity, reaching the lowest energy consumption, consuming only 23,670 kW·h per month. The evaluation and analysis of ECAM provide data support and research foundation for the wastewater treatment plants to improve energy utilization and reduce greenhouse gas emissions. MDPI 2022-10-17 /pmc/articles/PMC9603784/ /pubmed/36293966 http://dx.doi.org/10.3390/ijerph192013387 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tian, Yuhe Liu, Shuang Guo, Zheng Wu, Nan Liang, Jiaqi Zhao, Ruihua Hao, Linlin Zeng, Ming Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool |
title | Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool |
title_full | Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool |
title_fullStr | Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool |
title_full_unstemmed | Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool |
title_short | Insight into Greenhouse Gases Emissions and Energy Consumption of Different Full-Scale Wastewater Treatment Plants via ECAM Tool |
title_sort | insight into greenhouse gases emissions and energy consumption of different full-scale wastewater treatment plants via ecam tool |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603784/ https://www.ncbi.nlm.nih.gov/pubmed/36293966 http://dx.doi.org/10.3390/ijerph192013387 |
work_keys_str_mv | AT tianyuhe insightintogreenhousegasesemissionsandenergyconsumptionofdifferentfullscalewastewatertreatmentplantsviaecamtool AT liushuang insightintogreenhousegasesemissionsandenergyconsumptionofdifferentfullscalewastewatertreatmentplantsviaecamtool AT guozheng insightintogreenhousegasesemissionsandenergyconsumptionofdifferentfullscalewastewatertreatmentplantsviaecamtool AT wunan insightintogreenhousegasesemissionsandenergyconsumptionofdifferentfullscalewastewatertreatmentplantsviaecamtool AT liangjiaqi insightintogreenhousegasesemissionsandenergyconsumptionofdifferentfullscalewastewatertreatmentplantsviaecamtool AT zhaoruihua insightintogreenhousegasesemissionsandenergyconsumptionofdifferentfullscalewastewatertreatmentplantsviaecamtool AT haolinlin insightintogreenhousegasesemissionsandenergyconsumptionofdifferentfullscalewastewatertreatmentplantsviaecamtool AT zengming insightintogreenhousegasesemissionsandenergyconsumptionofdifferentfullscalewastewatertreatmentplantsviaecamtool |