The need for experimental data that is relevant to full-scale behavior stems from the need to validate numerical models -- most importantly mid-fidelity models -- desirable for MHK developers to predict the performance of their cross-flow turbine designs, since physical modeling at appropriate scales can be prohibitively expensive in the early stages of engineering.
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Experimental measurements that characterize the full-scale power performance of turbines are essential to validate numerical models used for design and analysis; in particular low- and mid-fidelity numerical models developed for design testing and optimization faster and more economically than physical modeling overlap
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