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Simulation and prediction of the effect of aeration, recirculation and degradation on landfill temperature in aerobic operation
Much heat is released in aerobic landfills, which leads to temperature change. Quantitative prediction of temperature change with time and space is essential for the safe aerobic operation of landfill. In this article, based on the theory of porous media seepage mechanics and heat transfer, a seepag...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925912/ https://www.ncbi.nlm.nih.gov/pubmed/35722891 http://dx.doi.org/10.1177/0734242X221105430 |
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author | Li, Ruoxin Liu, Lei Ding, Qianshen He, Chao Hou, Juan Gao, Tengfei |
author_facet | Li, Ruoxin Liu, Lei Ding, Qianshen He, Chao Hou, Juan Gao, Tengfei |
author_sort | Li, Ruoxin |
collection | PubMed |
description | Much heat is released in aerobic landfills, which leads to temperature change. Quantitative prediction of temperature change with time and space is essential for the safe aerobic operation of landfill. In this article, based on the theory of porous media seepage mechanics and heat transfer, a seepage–temperature coupling model considering aeration, recirculation and degradation was established, which included internal energy change, heat conduction, convection and heat transfer. Moreover, combined with the long-time on-site monitoring temperature data from Wuhan Jinkou Landfill, the model’s reliability was preliminarily verified. Sensitivity analysis was carried out for aeration intensity, aeration temperature, recirculation intensity and recirculation temperature. Among the four factors, recirculation intensity influences the peak temperature most with a decrease of 20.11%. Compared with Borglin’s and Hao’s models, it is found that waste should not be assumed as a cell for temperature prediction. By comparing the results of Non-linear Ascent Stage model, Linear Ascent Stage model and Absent Ascent Stage model, it showed that the temperature difference of the three models decreases with the increase of operation time. In addition, the time point of peak temperature, t(0), affects the temperature distribution. The above results provide a reference for predicting the spatial and temporal distribution of temperature and regulations for long-term aerobic landfill operations. |
format | Online Article Text |
id | pubmed-9925912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-99259122023-02-15 Simulation and prediction of the effect of aeration, recirculation and degradation on landfill temperature in aerobic operation Li, Ruoxin Liu, Lei Ding, Qianshen He, Chao Hou, Juan Gao, Tengfei Waste Manag Res Original Articles Much heat is released in aerobic landfills, which leads to temperature change. Quantitative prediction of temperature change with time and space is essential for the safe aerobic operation of landfill. In this article, based on the theory of porous media seepage mechanics and heat transfer, a seepage–temperature coupling model considering aeration, recirculation and degradation was established, which included internal energy change, heat conduction, convection and heat transfer. Moreover, combined with the long-time on-site monitoring temperature data from Wuhan Jinkou Landfill, the model’s reliability was preliminarily verified. Sensitivity analysis was carried out for aeration intensity, aeration temperature, recirculation intensity and recirculation temperature. Among the four factors, recirculation intensity influences the peak temperature most with a decrease of 20.11%. Compared with Borglin’s and Hao’s models, it is found that waste should not be assumed as a cell for temperature prediction. By comparing the results of Non-linear Ascent Stage model, Linear Ascent Stage model and Absent Ascent Stage model, it showed that the temperature difference of the three models decreases with the increase of operation time. In addition, the time point of peak temperature, t(0), affects the temperature distribution. The above results provide a reference for predicting the spatial and temporal distribution of temperature and regulations for long-term aerobic landfill operations. SAGE Publications 2022-06-20 2023-01 /pmc/articles/PMC9925912/ /pubmed/35722891 http://dx.doi.org/10.1177/0734242X221105430 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Articles Li, Ruoxin Liu, Lei Ding, Qianshen He, Chao Hou, Juan Gao, Tengfei Simulation and prediction of the effect of aeration, recirculation and degradation on landfill temperature in aerobic operation |
title | Simulation and prediction of the effect of aeration, recirculation
and degradation on landfill temperature in aerobic operation |
title_full | Simulation and prediction of the effect of aeration, recirculation
and degradation on landfill temperature in aerobic operation |
title_fullStr | Simulation and prediction of the effect of aeration, recirculation
and degradation on landfill temperature in aerobic operation |
title_full_unstemmed | Simulation and prediction of the effect of aeration, recirculation
and degradation on landfill temperature in aerobic operation |
title_short | Simulation and prediction of the effect of aeration, recirculation
and degradation on landfill temperature in aerobic operation |
title_sort | simulation and prediction of the effect of aeration, recirculation
and degradation on landfill temperature in aerobic operation |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925912/ https://www.ncbi.nlm.nih.gov/pubmed/35722891 http://dx.doi.org/10.1177/0734242X221105430 |
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