Multi-Objective Optimization Based on Simulation Integrated Pareto Analysis to Achieve Low-Carbon and Economical Operation of a Wastewater Treatment Plant
It is essential to reduce carbon emissions in wastewater treatment plants (WWTPs) to achieve carbon neutrality in society. However, current optimization of WWTPs prioritizes the operation cost index (OCI) and effluent quality index (EQI) over greenhouse gas (GHG) emissions. This study aims to conduc...
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MDPI AG
2024-03-01
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| author | Jianbo Liao Shuang Li Yihong Liu Siyuan Mao Tuo Tian Xueyan Ma Bing Li Yong Qiu |
| author_facet | Jianbo Liao Shuang Li Yihong Liu Siyuan Mao Tuo Tian Xueyan Ma Bing Li Yong Qiu |
| author_sort | Jianbo Liao |
| collection | DOAJ |
| description | It is essential to reduce carbon emissions in wastewater treatment plants (WWTPs) to achieve carbon neutrality in society. However, current optimization of WWTPs prioritizes the operation cost index (OCI) and effluent quality index (EQI) over greenhouse gas (GHG) emissions. This study aims to conduct a multi-objective optimization of a WWTP, considering GHG emissions, EQI, and OCI. The anaerobic-anoxic-oxic integrated membrane bioreactor (AAO-MBR) process in an actual WWTP was selected as a typical case, tens of thousands of scenarios with combinations of six operational parameters (dissolved oxygen (DO), external carbon resource (ECR), poly aluminum chloride (PAC), internal reflux ratio (IRR), external reflux ratio (ERR), and sludge discharge (SD)) were simulated by GPS-X software (Hydromantics 8.0.1). It was shown that ECR has the greatest impact on optimization objectives. In the optimal scenario, the main parameters of ATDO, MTDO, IRR, and ERR were 0.1 mg/L, 4 mg/L, 50%, and 100%, respectively. The EQI, OCI, and GHG of the best scenario were 0.046 kg/m<sup>3</sup>, 0.27 ¥/m<sup>3</sup>, and 0.51 kgCO<sub>2</sub>/m<sup>3</sup>, which were 2.1%, 72.2%, and 34.6% better than the current situation of the case WWTP, respectively. This study provides an effective method for realizing low-carbon and economical operation of WWTPs. |
| first_indexed | 2024-04-24T10:33:49Z |
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| id | doaj.art-bc12f618e627465884b8e8950c0c46a2 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-04-24T10:33:49Z |
| publishDate | 2024-03-01 |
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| series | Water |
| spelling | doaj.art-bc12f618e627465884b8e8950c0c46a22024-04-12T13:27:08ZengMDPI AGWater2073-44412024-03-0116799510.3390/w16070995Multi-Objective Optimization Based on Simulation Integrated Pareto Analysis to Achieve Low-Carbon and Economical Operation of a Wastewater Treatment PlantJianbo Liao0Shuang Li1Yihong Liu2Siyuan Mao3Tuo Tian4Xueyan Ma5Bing Li6Yong Qiu7School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, ChinaSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, ChinaIt is essential to reduce carbon emissions in wastewater treatment plants (WWTPs) to achieve carbon neutrality in society. However, current optimization of WWTPs prioritizes the operation cost index (OCI) and effluent quality index (EQI) over greenhouse gas (GHG) emissions. This study aims to conduct a multi-objective optimization of a WWTP, considering GHG emissions, EQI, and OCI. The anaerobic-anoxic-oxic integrated membrane bioreactor (AAO-MBR) process in an actual WWTP was selected as a typical case, tens of thousands of scenarios with combinations of six operational parameters (dissolved oxygen (DO), external carbon resource (ECR), poly aluminum chloride (PAC), internal reflux ratio (IRR), external reflux ratio (ERR), and sludge discharge (SD)) were simulated by GPS-X software (Hydromantics 8.0.1). It was shown that ECR has the greatest impact on optimization objectives. In the optimal scenario, the main parameters of ATDO, MTDO, IRR, and ERR were 0.1 mg/L, 4 mg/L, 50%, and 100%, respectively. The EQI, OCI, and GHG of the best scenario were 0.046 kg/m<sup>3</sup>, 0.27 ¥/m<sup>3</sup>, and 0.51 kgCO<sub>2</sub>/m<sup>3</sup>, which were 2.1%, 72.2%, and 34.6% better than the current situation of the case WWTP, respectively. This study provides an effective method for realizing low-carbon and economical operation of WWTPs.https://www.mdpi.com/2073-4441/16/7/995multi-objective optimizationPareto analysisgreenhouse gas emissionsAAO-MBRoperational parameters |
| spellingShingle | Jianbo Liao Shuang Li Yihong Liu Siyuan Mao Tuo Tian Xueyan Ma Bing Li Yong Qiu Multi-Objective Optimization Based on Simulation Integrated Pareto Analysis to Achieve Low-Carbon and Economical Operation of a Wastewater Treatment Plant Water multi-objective optimization Pareto analysis greenhouse gas emissions AAO-MBR operational parameters |
| title | Multi-Objective Optimization Based on Simulation Integrated Pareto Analysis to Achieve Low-Carbon and Economical Operation of a Wastewater Treatment Plant |
| title_full | Multi-Objective Optimization Based on Simulation Integrated Pareto Analysis to Achieve Low-Carbon and Economical Operation of a Wastewater Treatment Plant |
| title_fullStr | Multi-Objective Optimization Based on Simulation Integrated Pareto Analysis to Achieve Low-Carbon and Economical Operation of a Wastewater Treatment Plant |
| title_full_unstemmed | Multi-Objective Optimization Based on Simulation Integrated Pareto Analysis to Achieve Low-Carbon and Economical Operation of a Wastewater Treatment Plant |
| title_short | Multi-Objective Optimization Based on Simulation Integrated Pareto Analysis to Achieve Low-Carbon and Economical Operation of a Wastewater Treatment Plant |
| title_sort | multi objective optimization based on simulation integrated pareto analysis to achieve low carbon and economical operation of a wastewater treatment plant |
| topic | multi-objective optimization Pareto analysis greenhouse gas emissions AAO-MBR operational parameters |
| url | https://www.mdpi.com/2073-4441/16/7/995 |
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