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Application of dynamic models to estimate greenhouse gas emission by wastewater treatment plants of the pulp and paper industry
- Source :
- Environmental Science and Pollution Research. 20:1858-1869
- Publication Year :
- 2012
- Publisher :
- Springer Science and Business Media LLC, 2012.
-
Abstract
- Greenhouse gas (GHG) emission in wastewater treatment plants of the pulp-and-paper industry was estimated by using a dynamic mathematical model. Significant variations were shown in the magnitude of GHG generation in response to variations in operating parameters, demonstrating the limited capacity of steady-state models in predicting the time-dependent emissions of these harmful gases. The examined treatment systems used aerobic, anaerobic, and hybrid-anaerobic/aerobic-biological processes along with chemical coagulation/flocculation, anaerobic digester, nitrification and denitrification processes, and biogas recovery. The pertinent operating parameters included the influent substrate concentration, influent flow rate, and temperature. Although the average predictions by the dynamic model were only 10 % different from those of steady-state model during 140 days of operation of the examined systems, the daily variations of GHG emissions were different up to ± 30, ± 19, and ± 17 % in the aerobic, anaerobic, and hybrid systems, respectively. The variations of process variables caused fluctuations in energy generation from biogas recovery by ± 6, ± 7, and ± 4 % in the three examined systems, respectively. The lowest variations were observed in the hybrid system, showing the stability of this particular process design.
- Subjects :
- Greenhouse Effect
Paper
Models, Statistical
Denitrification
Health, Toxicology and Mutagenesis
Environmental engineering
General Medicine
Carbon Dioxide
Wastewater
Pulp and paper industry
Pollution
Aerobiosis
Water Purification
Anaerobic digestion
Bioreactors
Biogas
Greenhouse gas
Industry
Environmental Chemistry
Environmental science
Sewage treatment
Nitrification
Anaerobiosis
Anaerobic exercise
Subjects
Details
- ISSN :
- 16147499 and 09441344
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Environmental Science and Pollution Research
- Accession number :
- edsair.doi.dedup.....ed72ae4d4156cb369ec4089446333073