A Practical Methodology for Forecasting the Impact of Changes in Influent Loads and Discharge Consents on Average Energy Consumption and Sludge Production by Activated Sludge Wastewater Treatment
This paper proposes a simple and easy-to-use methodology for forecasting the impact of changes in influent chemical oxygen demand (COD) and in the emission limit values (ELVs) of COD and total nitrogen on average energy requirements for aeration and sludge production by activated sludge wastewater t...
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2021
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oai:doaj.org-article:cad31eb8169f4f8cadd9b9294c73f8f12021-11-11T19:50:32ZA Practical Methodology for Forecasting the Impact of Changes in Influent Loads and Discharge Consents on Average Energy Consumption and Sludge Production by Activated Sludge Wastewater Treatment10.3390/su1321122932071-1050https://doaj.org/article/cad31eb8169f4f8cadd9b9294c73f8f12021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12293https://doaj.org/toc/2071-1050This paper proposes a simple and easy-to-use methodology for forecasting the impact of changes in influent chemical oxygen demand (COD) and in the emission limit values (ELVs) of COD and total nitrogen on average energy requirements for aeration and sludge production by activated sludge wastewater treatment plants (WWTPs). The methodology is based on mass balances of sludge production and oxygen requirements for carbonaceous material biodegradation and/or nitrification, oxygen transfer and aeration equipment efficiency. Using average values of historical data of regular monitoring (water quality and operating conditions) WWTP-specific equations of oxygen requirements, energy consumption and sludge production are derived as a function of influent COD and influent N-total, which may be used to quantify the impact of influent and ELV changes. The methodology was tested in five extended aeration WWTPs for three scenarios established by the utility. The results show that increasing influent COD, from 900 to 1300 mg/L, for example, significantly increases the energy consumption by 49% and sludge production by 53%. For influent 54–68 mg/L N-total, imposing 15 mgN/L ELV results in a 9–26% increase in energy consumption. The COD ELV change studied (season-specific, from 150 mg/L 12 months/year to 125 mg/L 8 months/year to 100 mg/L 4 months/year) increases the energy consumption by 1.8–2.6% and the sludge production by 4.3–5.4%.Catarina SilvaMaria João RosaMDPI AGarticleoxygenenergysludgeWWTPsregulationEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12293, p 12293 (2021) |
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oxygen energy sludge WWTPs regulation Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
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oxygen energy sludge WWTPs regulation Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Catarina Silva Maria João Rosa A Practical Methodology for Forecasting the Impact of Changes in Influent Loads and Discharge Consents on Average Energy Consumption and Sludge Production by Activated Sludge Wastewater Treatment |
description |
This paper proposes a simple and easy-to-use methodology for forecasting the impact of changes in influent chemical oxygen demand (COD) and in the emission limit values (ELVs) of COD and total nitrogen on average energy requirements for aeration and sludge production by activated sludge wastewater treatment plants (WWTPs). The methodology is based on mass balances of sludge production and oxygen requirements for carbonaceous material biodegradation and/or nitrification, oxygen transfer and aeration equipment efficiency. Using average values of historical data of regular monitoring (water quality and operating conditions) WWTP-specific equations of oxygen requirements, energy consumption and sludge production are derived as a function of influent COD and influent N-total, which may be used to quantify the impact of influent and ELV changes. The methodology was tested in five extended aeration WWTPs for three scenarios established by the utility. The results show that increasing influent COD, from 900 to 1300 mg/L, for example, significantly increases the energy consumption by 49% and sludge production by 53%. For influent 54–68 mg/L N-total, imposing 15 mgN/L ELV results in a 9–26% increase in energy consumption. The COD ELV change studied (season-specific, from 150 mg/L 12 months/year to 125 mg/L 8 months/year to 100 mg/L 4 months/year) increases the energy consumption by 1.8–2.6% and the sludge production by 4.3–5.4%. |
format |
article |
author |
Catarina Silva Maria João Rosa |
author_facet |
Catarina Silva Maria João Rosa |
author_sort |
Catarina Silva |
title |
A Practical Methodology for Forecasting the Impact of Changes in Influent Loads and Discharge Consents on Average Energy Consumption and Sludge Production by Activated Sludge Wastewater Treatment |
title_short |
A Practical Methodology for Forecasting the Impact of Changes in Influent Loads and Discharge Consents on Average Energy Consumption and Sludge Production by Activated Sludge Wastewater Treatment |
title_full |
A Practical Methodology for Forecasting the Impact of Changes in Influent Loads and Discharge Consents on Average Energy Consumption and Sludge Production by Activated Sludge Wastewater Treatment |
title_fullStr |
A Practical Methodology for Forecasting the Impact of Changes in Influent Loads and Discharge Consents on Average Energy Consumption and Sludge Production by Activated Sludge Wastewater Treatment |
title_full_unstemmed |
A Practical Methodology for Forecasting the Impact of Changes in Influent Loads and Discharge Consents on Average Energy Consumption and Sludge Production by Activated Sludge Wastewater Treatment |
title_sort |
practical methodology for forecasting the impact of changes in influent loads and discharge consents on average energy consumption and sludge production by activated sludge wastewater treatment |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/cad31eb8169f4f8cadd9b9294c73f8f1 |
work_keys_str_mv |
AT catarinasilva apracticalmethodologyforforecastingtheimpactofchangesininfluentloadsanddischargeconsentsonaverageenergyconsumptionandsludgeproductionbyactivatedsludgewastewatertreatment AT mariajoaorosa apracticalmethodologyforforecastingtheimpactofchangesininfluentloadsanddischargeconsentsonaverageenergyconsumptionandsludgeproductionbyactivatedsludgewastewatertreatment AT catarinasilva practicalmethodologyforforecastingtheimpactofchangesininfluentloadsanddischargeconsentsonaverageenergyconsumptionandsludgeproductionbyactivatedsludgewastewatertreatment AT mariajoaorosa practicalmethodologyforforecastingtheimpactofchangesininfluentloadsanddischargeconsentsonaverageenergyconsumptionandsludgeproductionbyactivatedsludgewastewatertreatment |
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