Plant-wide modelling and analysis of WWTP temperature dynamics for sustainable heat recovery from wastewater
Wastewater heat recovery upstream of wastewater treatment plants (WWTPs) poses a risk to treatment performance, i.e. the biological processes. In order to perform a sustainability analysis, a detailed prediction of the temperature dynamics over the WWTP is needed. A comprehensive set of heat balance...
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2021
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oai:doaj.org-article:b4021c6a97f940bab02e3ee58fde721b2021-11-06T11:18:36ZPlant-wide modelling and analysis of WWTP temperature dynamics for sustainable heat recovery from wastewater0273-12231996-973210.2166/wst.2021.277https://doaj.org/article/b4021c6a97f940bab02e3ee58fde721b2021-08-01T00:00:00Zhttp://wst.iwaponline.com/content/84/4/1023https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732Wastewater heat recovery upstream of wastewater treatment plants (WWTPs) poses a risk to treatment performance, i.e. the biological processes. In order to perform a sustainability analysis, a detailed prediction of the temperature dynamics over the WWTP is needed. A comprehensive set of heat balance equations was included in a plant-wide process model and validated for the WWTP in Linköping, Sweden, to predict temperature variations over the whole year in a temperate climate. A detailed model for the excess heat generation of biological processes was developed. The annual average temperature change from influent to effluent was 0.78 °C with clear seasonal variations; 45% of the temperature change arises from processes other than the activated sludge unit. Hence, plant-wide energy modelling was necessary to predict in-tank temperature in the biological treatment steps. The energy processes with the largest energy gains were solar radiation and biological processes, while the largest losses were from conduction, convection and atmospheric radiation. Tanks with large surface areas have a significant impact on the heat balance regardless of biological processes. Simulating a 3 °C lower influent temperature, the temperature in the activated sludge unit dropped by 2.8 °C, which had a negative impact on nitrogen removal. HIGHLIGHTS The annual average temperature change (ΔT) was +0.78 °C from influent to effluent.; Biological processes had the largest energy contribution.; 45% of ΔT arises from other processes than activated sludge. Hence, plant-wide energy modelling is necessary.; ΔT shows strong seasonal variation in colder climates. Dynamic parameters are necessary.; Tanks with large open surface areas have significant impact on the heat balance.;Magnus ArnellMarcus AhlströmChristoffer WärffRamesh SaagiUlf JeppssonIWA Publishingarticleenergy and heat balancemathematical modellingresource recoverytemperaturewastewater heat recoverywastewater treatment plantEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 4, Pp 1023-1036 (2021) |
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energy and heat balance mathematical modelling resource recovery temperature wastewater heat recovery wastewater treatment plant Environmental technology. Sanitary engineering TD1-1066 |
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energy and heat balance mathematical modelling resource recovery temperature wastewater heat recovery wastewater treatment plant Environmental technology. Sanitary engineering TD1-1066 Magnus Arnell Marcus Ahlström Christoffer Wärff Ramesh Saagi Ulf Jeppsson Plant-wide modelling and analysis of WWTP temperature dynamics for sustainable heat recovery from wastewater |
description |
Wastewater heat recovery upstream of wastewater treatment plants (WWTPs) poses a risk to treatment performance, i.e. the biological processes. In order to perform a sustainability analysis, a detailed prediction of the temperature dynamics over the WWTP is needed. A comprehensive set of heat balance equations was included in a plant-wide process model and validated for the WWTP in Linköping, Sweden, to predict temperature variations over the whole year in a temperate climate. A detailed model for the excess heat generation of biological processes was developed. The annual average temperature change from influent to effluent was 0.78 °C with clear seasonal variations; 45% of the temperature change arises from processes other than the activated sludge unit. Hence, plant-wide energy modelling was necessary to predict in-tank temperature in the biological treatment steps. The energy processes with the largest energy gains were solar radiation and biological processes, while the largest losses were from conduction, convection and atmospheric radiation. Tanks with large surface areas have a significant impact on the heat balance regardless of biological processes. Simulating a 3 °C lower influent temperature, the temperature in the activated sludge unit dropped by 2.8 °C, which had a negative impact on nitrogen removal. HIGHLIGHTS
The annual average temperature change (ΔT) was +0.78 °C from influent to effluent.;
Biological processes had the largest energy contribution.;
45% of ΔT arises from other processes than activated sludge. Hence, plant-wide energy modelling is necessary.;
ΔT shows strong seasonal variation in colder climates. Dynamic parameters are necessary.;
Tanks with large open surface areas have significant impact on the heat balance.; |
format |
article |
author |
Magnus Arnell Marcus Ahlström Christoffer Wärff Ramesh Saagi Ulf Jeppsson |
author_facet |
Magnus Arnell Marcus Ahlström Christoffer Wärff Ramesh Saagi Ulf Jeppsson |
author_sort |
Magnus Arnell |
title |
Plant-wide modelling and analysis of WWTP temperature dynamics for sustainable heat recovery from wastewater |
title_short |
Plant-wide modelling and analysis of WWTP temperature dynamics for sustainable heat recovery from wastewater |
title_full |
Plant-wide modelling and analysis of WWTP temperature dynamics for sustainable heat recovery from wastewater |
title_fullStr |
Plant-wide modelling and analysis of WWTP temperature dynamics for sustainable heat recovery from wastewater |
title_full_unstemmed |
Plant-wide modelling and analysis of WWTP temperature dynamics for sustainable heat recovery from wastewater |
title_sort |
plant-wide modelling and analysis of wwtp temperature dynamics for sustainable heat recovery from wastewater |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/b4021c6a97f940bab02e3ee58fde721b |
work_keys_str_mv |
AT magnusarnell plantwidemodellingandanalysisofwwtptemperaturedynamicsforsustainableheatrecoveryfromwastewater AT marcusahlstrom plantwidemodellingandanalysisofwwtptemperaturedynamicsforsustainableheatrecoveryfromwastewater AT christofferwarff plantwidemodellingandanalysisofwwtptemperaturedynamicsforsustainableheatrecoveryfromwastewater AT rameshsaagi plantwidemodellingandanalysisofwwtptemperaturedynamicsforsustainableheatrecoveryfromwastewater AT ulfjeppsson plantwidemodellingandanalysisofwwtptemperaturedynamicsforsustainableheatrecoveryfromwastewater |
_version_ |
1718443755048009728 |