Multi-criteria Assessment of Alternative Fuels for Peak Power Generation

Applying the AHP method for the selection of an alternative fuel for gas turbines in Rotterdam

Master Thesis (2019)
Author(s)

Y. Saba (TU Delft - Technology, Policy and Management)

Contributor(s)

L. Stougie – Mentor (TU Delft - Energy and Industry)

M. Weijnen – Mentor (TU Delft - Energy and Industry)

Daniel Scholten – Mentor (TU Delft - Economics of Technology and Innovation)

Faculty
Technology, Policy and Management
Copyright
© 2019 Youssef Saba
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Youssef Saba
Graduation Date
09-09-2019
Awarding Institution
Delft University of Technology
Programme
['Complex Systems Engineering and Management (CoSEM)']
Faculty
Technology, Policy and Management
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Abstract

As the energy transition evolves, more fossil-driven base-load generation is being replaced with intermittent renewable energy sources. Peak power plants will continue to play a crucial role in future renewable energy systems to complement renewable energy supply. The focus of this thesis is on alternative fuels that can be utilized in conventional gas turbines. Several alternatives fuels exist, such as hydrogen, methanol and bio-fuels, and each alternative fuel has different technical, economic, social and environmental implications for the energy system and the society as a whole. Decision makers across the energy sector face difficult trade-offs between quantitative and qualitative criteria when selecting and alternative technology to invest in. This paper applies the analytical hierarchy process (AHP) to select an alternative fuel for a peak power plant in Rotterdam. The fuels analysed are methanol and hydrogen, and are ranked according to nine sub-criteria. Two contributions are proposed to improve the AHP method. Firstly, incorporating a technology readiness level indicator to quantify the technological maturity. Secondly, multiple perspectives are incorporated from key stakeholders in the criteria weighting. A sensitivity analysis is then performed on the most relevant criteria.

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