NOx emission analysis of retrofitted diesel-powered buses
Kemppainen, Joni (2020)
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202004155070
https://urn.fi/URN:NBN:fi:amk-202004155070
Tiivistelmä
Proventia Oy is a medium sized international company focused on heavy-duty diesel engine emission control. The company designs and manufactures exhaust aftertreatment systems for OEM and retrofit purposes. They have been collecting data by using telematics from thousands of buses with retrofitted exhaust aftertreatment systems. The objective of this thesis was to find out how the surrounding conditions and vehicle’s mechanical solutions affect the emissions and the operation of the retrofitted exhaust aftertreatment system in different bus models.
To understand the reasons behind the system operation in different conditions, the focused area in the background theory is the components of the aftertreatment system. Also, heavy-duty diesel emissions standards have been studied to clarify the reasons behind developing advanced exhaust aftertreatment systems. The material used in the background theory has been collected from various internet sources, including technical publications and websites of the manufacturers in the industry. Some book sources have also been used and the knowledge provided by the background study has been applied in the presenting and analyzing of the results.
The research was carried out by utilizing the data Proventia has collected. The data was combined with vehicle technical information which was mainly tabulated in separate Excel files. Excel’s Power Query and Power Pivot add ins were the tools in the processing and analyzing of the data. As a result, emission readings and the aftertreatment system efficiencies for various bus models are presented and relations between various measures have been studied.
As a conclusion it can be stated that retrofitting buses is an efficient way to quickly reduce the emissions in highly crowded areas such as big cities. However, the proper function of the system requires a sufficiently high exhaust temperature which is affected by the operating conditions and the vehicle’s mechanical solutions. Also, to keep the emissions low, the maintenance of the vehicle and exhaust aftertreatment system must not be neglected. The achieved results can be exploited to estimate the possible problems of the future retrofit targets and to conduct further research on the factors affecting the operation of the aftertreatment system.
To understand the reasons behind the system operation in different conditions, the focused area in the background theory is the components of the aftertreatment system. Also, heavy-duty diesel emissions standards have been studied to clarify the reasons behind developing advanced exhaust aftertreatment systems. The material used in the background theory has been collected from various internet sources, including technical publications and websites of the manufacturers in the industry. Some book sources have also been used and the knowledge provided by the background study has been applied in the presenting and analyzing of the results.
The research was carried out by utilizing the data Proventia has collected. The data was combined with vehicle technical information which was mainly tabulated in separate Excel files. Excel’s Power Query and Power Pivot add ins were the tools in the processing and analyzing of the data. As a result, emission readings and the aftertreatment system efficiencies for various bus models are presented and relations between various measures have been studied.
As a conclusion it can be stated that retrofitting buses is an efficient way to quickly reduce the emissions in highly crowded areas such as big cities. However, the proper function of the system requires a sufficiently high exhaust temperature which is affected by the operating conditions and the vehicle’s mechanical solutions. Also, to keep the emissions low, the maintenance of the vehicle and exhaust aftertreatment system must not be neglected. The achieved results can be exploited to estimate the possible problems of the future retrofit targets and to conduct further research on the factors affecting the operation of the aftertreatment system.