In one of the largest renewable energy sectors, the Wind, research on maintenance on windturbines is surprisingly nearly nonexistent. No meaningful work has been made on optimizingthe scheduled maintenance process. Filling this gap this thesis stems.Unplanned maintenance is commonly synonym to large energy loss since the wind turbine mustbe stopped nearly throughout the whole duration of the maintenance procedure. All partiesevolved in the sector are hindered by this fact. It is therefore not only in all the sectors’ playersbut also the general publics’ interest to optimize this process for a more sustainable world.Responsible for all the calculations is a model, which was fully developed for this thesis and ispart of it. Having considered several programming languages the choice was Excel (VBA); beingthis software spread worldwide it encourages the models’ global implementation. Easy to use,versatility and accurate and prompt results were the guidelines for its developments. A weatherforecast is the fundamental input.Running the model on two different wind farms gave conclusive results. The energy loss wasreduced up to 71%. Also in some cases the time frame was cut up to 62%.Even with these promising figures energy loss must be significant in order to have a realeconomical impact. Nevertheless the model unveils the most convenient schedule formaintenance and its implementation is exclusively beneficial.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-37866 |
| Date | January 2010 |
| Creators | Neto, João Borges Coutinho Amaral |
| Publisher | KTH, Mekanik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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