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Reduction of carbon dioxide emissions within transportation and distribution : A case study of how Duni Group can reduce their carbon dioxide emissions for purchased transports within Europe

Scope 3 emissions are emissions which a company is not directly responsible for. The case company, Duni Group, wants to reduce their Scope 3 CO2e emissions with 46,2% to 2030 using 2019 as a baseline. The aim of this report is to evaluate how they can do this for transportation and distribution. This will be done using four research questions which includes determining the current setup, proposing a new setup to this current situation, reviewing, and benchmarking partners and developing a roadmap. The case company, Duni Group, has facilities in Skåpafors, Bramsche, Poznan and Wolkenstein where the CO2e are calculated between and to customers in 20 European countries which is Duni’s largest markets. 15 different companies are handling these transports, which will be included in the scope. The frame of reference maps out different technologies that can be used to reduce the CO2e emissions. Among these are trucks with HVO100, electric, hydrogen and train solutions. Each technology has their own pros and cons, why tables for summing up these different technologies were created. The methodology is based on calculating the trucks needed to fulfill the transports, and from this calculate the CO2e emissions using NTMCalc. The frame of reference will together with the result from the current setup suggest promising alternative setups. Then, a survey is sent out to the strategic partners to get their point of view of the future and investigate if they have the same ambitions as Duni have. Lastly, a roadmap based on these earlier chapter will be created.  The current setup consists mostly of diesel trucks, for some markets there is already greener options implemented such as HVO100 and intermodal train solutions. The total CO2e emissions for the current setup are calculated to 9 714 tons, and the cost is calculated to 21 303 000 €. The lead time is for the linehauls 1-3 days and differ a lot for the distribution. The future setup reveals promising alternatives mostly to trucks with HVO100, electric trucks, and train solutions. When investigating these further, trucks with HVO100 is a good alternative close in time and electric trucks closer to 2030. Train solution is only recommended for the linehaul to Spain. When reviewing and benchmarking the partners, interesting findings from their sustainability work and their view on future technologies were revealed. The partners reviewed presented their sustainability work so far and got to rank their own sustainability work. Most of them ranked themselves above average, which is a good sign for Duni’s ambitions. For the insights in the future, the trend could be seen that HVO100 could be viable closer in time, and electric or hydrogen trucks viable in the future. However, electric was more popular than hydrogen. The partners also presented obstacles towards their sustainability work, among these are the cost, availability, tolls, and lack of infrastructure. It is also believed that most of the current strategic partners can implement the suggested changes in the future, but some changes might be needed.  Presenting a roadmap, the CO2e emissions could be reduced by 44% in 2024, mainly using HVO100 which would increase the total cost by 5-9%. This could be reduced further to 65% in 2030, mainly using electric trucks to make this change which could increase the cost by less than 1%. However, this can change and needs to be investigated further closer in time since a lot can happen in these years with new technologies. The price in the end will vary based on electricity price and purchase price of the vehicle. Other obstacles could also affect this, for instance how well the infrastructure develop.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-204868
Date January 2024
CreatorsSvensson, Alexander, Ghebremichael, Alexsander
PublisherLinköpings universitet, Logistik- och kvalitetsutveckling
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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