Real-time measurement and estimation of factory CO2 emissions
Karlsson, Conny (2021-10-13)
Real-time measurement and estimation of factory CO2 emissions
Karlsson, Conny
(13.10.2021)
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.
avoin
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021101851489
https://urn.fi/URN:NBN:fi-fe2021101851489
Tiivistelmä
The motivation for the thesis was to investigate the feasibility of creating a dynamic system
for displaying caused CO2 emissions from a factory environment. Nordkalk’s factory
in Parainen, Finland, was used to provide real process data to aid in the research. This
research topic required the thesis author to acquire deep knowledge and understanding of
the methods to obtain the necessary data and of the technologies required to implement
such as system.
The information was collected from sources such as literature, factory process data, technology
manuals and reference data. Based on this information, key components of the
system were created, which made use of the collected process data. Research was done
regarding the use of both measured and estimated power usage and caused CO2 emissions
data and the feasibility of estimation.
The implemented system components made use of technologies such as .Net Framework,
C# language, SQL, OPC UA and SVG graphics. The components implemented the factory
process data recording and visualization of the data. Manual analysis was done to
evaluate the possibility of estimating CO2 emissions.
The result of the thesis research, shows that it is possible to create a dynamic open
system, which could provide detailed information on caused CO2 emissions in a factory
context, that could be used together with other systems such as MES systems to create
further added-value.
for displaying caused CO2 emissions from a factory environment. Nordkalk’s factory
in Parainen, Finland, was used to provide real process data to aid in the research. This
research topic required the thesis author to acquire deep knowledge and understanding of
the methods to obtain the necessary data and of the technologies required to implement
such as system.
The information was collected from sources such as literature, factory process data, technology
manuals and reference data. Based on this information, key components of the
system were created, which made use of the collected process data. Research was done
regarding the use of both measured and estimated power usage and caused CO2 emissions
data and the feasibility of estimation.
The implemented system components made use of technologies such as .Net Framework,
C# language, SQL, OPC UA and SVG graphics. The components implemented the factory
process data recording and visualization of the data. Manual analysis was done to
evaluate the possibility of estimating CO2 emissions.
The result of the thesis research, shows that it is possible to create a dynamic open
system, which could provide detailed information on caused CO2 emissions in a factory
context, that could be used together with other systems such as MES systems to create
further added-value.