Uncertainty Quantification in Wind Plant Energy Estimation

January 29, 2019

Data characterizing a wind power plant’s production are important for the validation, calibration, and refinement of the wake loss models used to simulate performance for preconstruction energy estimates. In this process, there is the potential for significant variation in the methods used by an analyst for, first, the preparation of the operational production data for comparison to model data and, second, the generation of analogous production data from simulations. In this work, the uncertainty introduced by these method variations is quantified by considering ensembles of analysis methods. Specifically, 1920 method variations were developed for preparing the operational data as a predictable production benchmark and simulations taking as input sample sets of the observed wind resource ranging in size from 4% to 125% of a full year were run using 3 engineering wake loss models in simulations run in the FLOw Redirection and Induction in Steady State software package.

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Inter Pipeline

We are a major energy infrastructure business that has experienced tremendous growth over the past decade. This growth has provided our employees with stability, positive challenges, new career paths and opportunities to work in a dynamic team environment. No matter where your role at Inter Pipeline may lie, you are provided ample opportunities for valued contribution and innovation, with a strong emphasis on employee growth.

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