Heterogeneous multi-population competitive algorithm and its application in ASM1 parameter estimation
Activated sludge model 1 (ASM1) is a biokinetic model of the activated sludge wastewater treatment process, which has several uncertain parameters and complex chemical reaction processes. This model is often used in simulations to assess whether the effluent quality of wastewater meets discharge sta...
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| Format: | Article |
| Language: | English |
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IWA Publishing
2022-11-01
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| Series: | Water Science and Technology |
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| Online Access: | http://wst.iwaponline.com/content/86/10/2495 |
| _version_ | 1828179415608066048 |
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| author | Xianjun Du Yu Peng |
| author_facet | Xianjun Du Yu Peng |
| author_sort | Xianjun Du |
| collection | DOAJ |
| description | Activated sludge model 1 (ASM1) is a biokinetic model of the activated sludge wastewater treatment process, which has several uncertain parameters and complex chemical reaction processes. This model is often used in simulations to assess whether the effluent quality of wastewater meets discharge standards. Accurate and rapid estimation of the parameters of ASM1 is a necessary prerequisite for its successful application in industrial practice. However, ASM1-based parameter estimation is difficult to implement in practical operations due to the slow convergence rate and low convergence accuracy of most parameter estimation algorithms as well as the non-uniqueness of parameter estimation. In view of this, a novel metaheuristic optimization algorithm combining Legendre function network and dynamic partitioning strategy, named heterogeneous multi-group competitive algorithm (HMCA), is proposed to overcome the problem of low algorithmic efficiency and poor practicality in parameter estimation. The performance of the algorithm in terms of convergence speed, convergence accuracy and applicability is verified by two sets of test functions and eight state-of-the-art comparison algorithms. The superior performance of the algorithm in parameter estimation is then validated in conjunction with Benchmark Simulation Model no. 1 (BSM1) and four sets of operational data.
HIGHLIGHTS
A novel algorithm (HMCA) is proposed for parameter estimation.;
HMCA is tested by 20 classical benchmark test functions and performance is superior in most cases.;
Four wastewater treatment processes under different conditions were modeled using the HMCA-estimated parameters.;
Experimental results show that HMCA is able to effectively simulate the activated sludge wastewater treatment process in different conditions.; |
| first_indexed | 2024-04-12T05:28:57Z |
| format | Article |
| id | doaj.art-7aee064852c2406eaa5d5c3ebacea677 |
| institution | Directory Open Access Journal |
| issn | 0273-1223 1996-9732 |
| language | English |
| last_indexed | 2024-04-12T05:28:57Z |
| publishDate | 2022-11-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Science and Technology |
| spelling | doaj.art-7aee064852c2406eaa5d5c3ebacea6772022-12-22T03:46:08ZengIWA PublishingWater Science and Technology0273-12231996-97322022-11-0186102495252710.2166/wst.2022.356356Heterogeneous multi-population competitive algorithm and its application in ASM1 parameter estimationXianjun Du0Yu Peng1 College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China Activated sludge model 1 (ASM1) is a biokinetic model of the activated sludge wastewater treatment process, which has several uncertain parameters and complex chemical reaction processes. This model is often used in simulations to assess whether the effluent quality of wastewater meets discharge standards. Accurate and rapid estimation of the parameters of ASM1 is a necessary prerequisite for its successful application in industrial practice. However, ASM1-based parameter estimation is difficult to implement in practical operations due to the slow convergence rate and low convergence accuracy of most parameter estimation algorithms as well as the non-uniqueness of parameter estimation. In view of this, a novel metaheuristic optimization algorithm combining Legendre function network and dynamic partitioning strategy, named heterogeneous multi-group competitive algorithm (HMCA), is proposed to overcome the problem of low algorithmic efficiency and poor practicality in parameter estimation. The performance of the algorithm in terms of convergence speed, convergence accuracy and applicability is verified by two sets of test functions and eight state-of-the-art comparison algorithms. The superior performance of the algorithm in parameter estimation is then validated in conjunction with Benchmark Simulation Model no. 1 (BSM1) and four sets of operational data. HIGHLIGHTS A novel algorithm (HMCA) is proposed for parameter estimation.; HMCA is tested by 20 classical benchmark test functions and performance is superior in most cases.; Four wastewater treatment processes under different conditions were modeled using the HMCA-estimated parameters.; Experimental results show that HMCA is able to effectively simulate the activated sludge wastewater treatment process in different conditions.;http://wst.iwaponline.com/content/86/10/2495asm1bsm1legendre function networkmulti-population optimizationparameter estimationwastewater treatment |
| spellingShingle | Xianjun Du Yu Peng Heterogeneous multi-population competitive algorithm and its application in ASM1 parameter estimation Water Science and Technology asm1 bsm1 legendre function network multi-population optimization parameter estimation wastewater treatment |
| title | Heterogeneous multi-population competitive algorithm and its application in ASM1 parameter estimation |
| title_full | Heterogeneous multi-population competitive algorithm and its application in ASM1 parameter estimation |
| title_fullStr | Heterogeneous multi-population competitive algorithm and its application in ASM1 parameter estimation |
| title_full_unstemmed | Heterogeneous multi-population competitive algorithm and its application in ASM1 parameter estimation |
| title_short | Heterogeneous multi-population competitive algorithm and its application in ASM1 parameter estimation |
| title_sort | heterogeneous multi population competitive algorithm and its application in asm1 parameter estimation |
| topic | asm1 bsm1 legendre function network multi-population optimization parameter estimation wastewater treatment |
| url | http://wst.iwaponline.com/content/86/10/2495 |
| work_keys_str_mv | AT xianjundu heterogeneousmultipopulationcompetitivealgorithmanditsapplicationinasm1parameterestimation AT yupeng heterogeneousmultipopulationcompetitivealgorithmanditsapplicationinasm1parameterestimation |