Energy system analysis of utilizing hydrogen as an energy carrier for wind power in the transportation sector in Western Denmark
Hydrogen is an energy carrier that can potentially be used for introducing renewably generated electricity into the transportation sector. This paper presents a methodology for an overall energy system analysis of a hydrogen infrastructure, which meets a transportation hydrogen demand profile. The methodology starts by building a mathematical model for optimizing the economic operation of electrolyzers on the electricity market by use of Genetic Algorithms. Demand profiles from the optimization are then included in an overall energy system analysis model studying the electricity market and power balance system effects. A sample 2030 scenario analysis of Western Denmark is presented to demonstrate the applicability of the devised methodology. It is shown that Genetic Algorithms is a flexible tool that can be adapted to optimization problems involving energy storage. On the other hand, it is found that the ability of Genetic Algorithms to find a solution is highly dependent on initial variables and the storage constraint. Further analysis is required in order to test and expand the methodology and scenario results.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mathiesen, B.V. & Lund, H. & Nørgaard, P., 2008. "Integrated transport and renewable energy systems," Utilities Policy, Elsevier, vol. 16(2), pages 107-116, June.
- Hvelplund, Frede, 2006. "Renewable energy and the need for local energy markets," Energy, Elsevier, vol. 31(13), pages 2293-2302.
- Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
- Lund, Henrik & Munster, Ebbe, 2006. "Integrated energy systems and local energy markets," Energy Policy, Elsevier, vol. 34(10), pages 1152-1160, July.
When requesting a correction, please mention this item's handle: RePEc:eee:juipol:v:16:y:2008:i:2:p:99-106. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.