In this report, the details of an investigation into the eect of the low induction wind turbines on the Levelised Cost of Electricity (LCoE) in a 1GW oshore wind farm is outlined. The 10 MW INNWIND.EU conventional wind turbine and its low induction variant, the 10 MW AVATAR wind turbine, are considered in a variety of 10x10 layout configurations. The Annual Energy Production (AEP) and cost of electrical infrastructure were determined using two in-house ECN software tools, namely FarmFlow and EEFarm II. Combining this information with a generalised cost model, the LCoE from these layouts were determined. The optimum LCoE for the AVATAR wind farm was determined to be 92.15 e/MWh while for the INNWIND.EU wind farm it was 93.85 e/MWh. Although the low induction wind farm oered a marginally lower LCoE, it should not be considered as definitive due to simple nature of the cost model used. The results do indicate that the AVATAR wind farms require less space to achieve this similar cost performace, with a higher optimal wind farm power density (WFPD) of 3.7 MW/km2 compared to 3 MW/km2 for the INNWIND.EU based wind farm.
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In dit rapport worden de maatschappelijke kosten en baten onderzocht van waterstof-elektrisch rijden voor vrachtverkeer. De keten van elektriciteitproductie, conversie naar waterstof, opslag en transport van waterstof, waterstoftankstation en waterstofvrachtwagen is gemodelleerd. De total cost of ownerschip en ook de levelised cost of driving van waterstof-elektrisch rijden zijn hoger dan de alternatieven diesel en batterijelektrisch rijden. Ten opzichte van batterijelektrisch rijden kent waterstof wel enkele operationele voordelen zoals de kortere tanktijd en het hogere bereik. Ook niet-monetaire effecten zijn geanalyseerd.
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