Jelena Pubule, Ivars Veidenbergs, Sarma Valtere, Silvija Nora Kalnins,
Dagnija Blumberga
Indicators for the assessment of biowaste treatment throw through
anaerobic digestion
Conference Information: |
9th International Conference on Environmental
Engineering, MAY 22-23, 2014 Vilnius, LITHUANIA |
Source: |
ICEE-2014 - International Conference on Environmental
Engineering |
Book Series: |
International Conference on Environmental Engineering
(ICEE) Selected papers |
ISSN: |
ISSN 2029-7092 online |
ISBN: |
978-609-457-640-9 / 978-609-457-690-4 CD |
Year: |
2014 |
Publisher: |
Vilnius Gediminas Technical University Press Technika |
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Abstract
Anaerobic digestion of the organic fraction of municipal solid waste and catering/food waste is one of the best options for biowaste
treatment. During the last decades, the waste management system in the Baltic States has changed on a large scale. During the next years,
regional waste management will be greatly transformed. The decision to use the thermal treatment of municipal waste to reach the
specified legal targets was taken. In Lithuania and Estonia, waste incineration plants have been recently built. Therefore, it is clear that
next year’s municipal solid waste in Estonia and Lithuania will be incinerated in plants. At the same time, there is a lack of a common
vision concerning biowaste treatment in Latvia. Therefore, a well-considered decision must be taken. Anaerobic digestion is one of the
best options for biowaste management in Latvia. During the research, indicators for the assessment of biowaste treatment through
anaerobic digestion were analyzed. A reduction of GHG emissions is one of the main benefits of this use, or more specifically RES.
Therefore, the statistical analysis of data from a decrease in GHG emissions, and the most significant characteristic factors of equipment
function, or independent parameters, must be determined. During the research, the empirical model for the identification and analysis of
indicators for the assessment of biowaste treatment was carried out. With the created algorithm, a description of the module and the
definition of thresholds was achieved. The regression equation, which characterized the connection between the decrease in GHG
emissions and the parameters that influence this decrease, will be defined. The results allow for the identification of key indicators in the
evaluation of biowaste treatment and its efficiency. The paper presents a multi-factor regression equation to determine the reduction of
GHG emissions.
Keywords: biowaste treatment; indicators; corelation; regresion; impact assessment methodology.
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