Improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in China
Landfill gas (LFG) generation is commonly modeled by using a first-order model. Methane generation potential (L0) and methane generation rate constant (k) are two key parameters in the first-order model. Coal-ash based default values or roughly analyzed values often used in China may not be appropri...
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KeAi Communications Co., Ltd.
2023-08-01
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| Series: | Advances in Climate Change Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674927823000849 |
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| author | Xiao-Xia Niu Shu-Zhuan Wang Yu-Chao Niu Li-Fang Wei Lu-Yao Yu |
| author_facet | Xiao-Xia Niu Shu-Zhuan Wang Yu-Chao Niu Li-Fang Wei Lu-Yao Yu |
| author_sort | Xiao-Xia Niu |
| collection | DOAJ |
| description | Landfill gas (LFG) generation is commonly modeled by using a first-order model. Methane generation potential (L0) and methane generation rate constant (k) are two key parameters in the first-order model. Coal-ash based default values or roughly analyzed values often used in China may not be appropriate for accurately estimating of LFG generation. In this study, seven groups of parameters were evaluated by comparing the theoretical predictions with real measurements from five Chinese landfills. The optimal approach for calculating L0 is the use of site-specific waste composition and the default values of degradable organic carbon (DOC) reported by the Chinese industry standard (CJJ133-2009), and the matching k can be adjusted by fitting and regression. The optimized average values were L0 = 67 m3 Mg−1, k = 0.06 per year for landfills in Beijing and Zhengzhou in cold–dry regions, L0 = 69 m3 Mg−1, k = 0.16 per year for landfill in Shanghai in cold–wet region, and L0 = 64 m3 Mg−1, k = 0.21 per year for landfills in Guangzhou and Shenzhen in hot–wet regions. Monte Carlo analysis showed that the uncertainty of LFG generation at closure year varied in −22.5% to 20.5%, −17.1% to 17.1% and −28.2% to 34.7% for three climatic regions, respectively. The k value is the key influencing factor, with a 95.6% contribution ratio in the hot–wet region landfill. The results provide references for future better waste management. |
| first_indexed | 2024-03-11T22:48:34Z |
| format | Article |
| id | doaj.art-43cd4603e70d48708c947e3645663ee4 |
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| language | English |
| last_indexed | 2024-03-11T22:48:34Z |
| publishDate | 2023-08-01 |
| publisher | KeAi Communications Co., Ltd. |
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| series | Advances in Climate Change Research |
| spelling | doaj.art-43cd4603e70d48708c947e3645663ee42023-09-22T04:38:24ZengKeAi Communications Co., Ltd.Advances in Climate Change Research1674-92782023-08-01144605614Improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in ChinaXiao-Xia Niu0Shu-Zhuan Wang1Yu-Chao Niu2Li-Fang Wei3Lu-Yao Yu4Department of Environmental Engineering, School of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China; Corresponding author.Zhengzhou City Administration Bureau, Zhengzhou 450006, ChinaZhengzhou City Administration Bureau, Zhengzhou 450006, ChinaDepartment of Environmental Engineering, School of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaDepartment of Environmental Engineering, School of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaLandfill gas (LFG) generation is commonly modeled by using a first-order model. Methane generation potential (L0) and methane generation rate constant (k) are two key parameters in the first-order model. Coal-ash based default values or roughly analyzed values often used in China may not be appropriate for accurately estimating of LFG generation. In this study, seven groups of parameters were evaluated by comparing the theoretical predictions with real measurements from five Chinese landfills. The optimal approach for calculating L0 is the use of site-specific waste composition and the default values of degradable organic carbon (DOC) reported by the Chinese industry standard (CJJ133-2009), and the matching k can be adjusted by fitting and regression. The optimized average values were L0 = 67 m3 Mg−1, k = 0.06 per year for landfills in Beijing and Zhengzhou in cold–dry regions, L0 = 69 m3 Mg−1, k = 0.16 per year for landfill in Shanghai in cold–wet region, and L0 = 64 m3 Mg−1, k = 0.21 per year for landfills in Guangzhou and Shenzhen in hot–wet regions. Monte Carlo analysis showed that the uncertainty of LFG generation at closure year varied in −22.5% to 20.5%, −17.1% to 17.1% and −28.2% to 34.7% for three climatic regions, respectively. The k value is the key influencing factor, with a 95.6% contribution ratio in the hot–wet region landfill. The results provide references for future better waste management.http://www.sciencedirect.com/science/article/pii/S1674927823000849Municipal solid wasteWaste-to-energyWaste managementGas generation model |
| spellingShingle | Xiao-Xia Niu Shu-Zhuan Wang Yu-Chao Niu Li-Fang Wei Lu-Yao Yu Improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in China Advances in Climate Change Research Municipal solid waste Waste-to-energy Waste management Gas generation model |
| title | Improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in China |
| title_full | Improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in China |
| title_fullStr | Improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in China |
| title_full_unstemmed | Improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in China |
| title_short | Improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in China |
| title_sort | improvement and optimization for the first order decay model parameters at typical municipal solid waste landfills in china |
| topic | Municipal solid waste Waste-to-energy Waste management Gas generation model |
| url | http://www.sciencedirect.com/science/article/pii/S1674927823000849 |
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