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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...

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Autores principales: Li, Ruoxin, Liu, Lei, Ding, Qianshen, He, Chao, Hou, Juan, Gao, Tengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
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.
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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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