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A multi-criteria analysis on different biofuels production in poly-generation systems

Publicerad 2020-01-13

Om uppdragsgivaren

Utilization of fossil fuels in energy systems is the main source of global Greenhouse Gas GHG emissions. The burning of fossil-based fuels in the transportation system also presents a major challenge. In Europe, most vehicles are fuelled by petrol or diesel and they account for 21% of GHG emissions. One solution to reduce the use of fossil fuels is to move towards a renewable-based energy system. A good substitute to mitigate carbon emissions in the transport sector is biofuels. Biofuels can be generated from different types of biomass through different conversion technologies. Gasification of waste can generate syngas, which can be further converted to various biofuels such as biomethane, hydrogen, dimethyl ether, methanol, Fischer&8208;Tropsch FT fuels, etc. Cereal straw can also be converted to bioethanol through separate hydrolysis and fermentation SHF technology. The pyrolysis and anaerobic digestion of bio waste are also the increasingly used technologies for biomethane production. To find the optimal type of biofuel as well as the selection of the suitable production process, a multi-criteria decision analysis MCDA should be applied with consideration of effective factors including technical, economic, political, environmental, social, etc. A MCDA is a method to manage decision making among alternatives considering the performance indicators for different choices.

Beskrivning av examensarbetet
Thesis tasks:

The goal of this thesis work is to combine all data from previous studies on integrated production of biofuels in polygeneration systems to compare different biofuels using multi-criteria decision analysis. Therefore, the work consists of the following tasks:
- A literature review on the previous studies and investigations for polygeneration systems, studies on different techniques for biofuel production, literatures for techno-economic analysis, etc.
- Data collection: including data for different criteria such as technical, political and environmental, data for fuel use and price, production efficiency, energy policy in the region, trends in energy demand, etc.
- Multi-criteria decision analysis: assessment of alternatives with respect to the performance indicators and evaluation criteria using MCDA tools.
- Evaluation of the results and decide on the optimal choice.

Expected results:

- Thesis writing
- Participation in writing a scientific article for a conference or journal

Practical information:
Group size: 1-2 students
Credits: 30hp
Duration: 20 weeks

Mahsa Daraei


Mälardalens Högskola


Sista ansökningdag

Paper 1
Paper 2

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