Optimizing Wind Farm Operations and Maintenance with Discrete-Event Simulation
Offshore wind is one of the most important sources of renewable energy and a key area of interest for one of Wolfram Consulting Group’s clients. To get a complete understanding of the multitude of factors that contribute to the technical and financial performance of a wind farm, our client’s challenge was to design and develop a complete software package for modeling offshore wind operations.
The model needed to connect a large variety of different data types and determine their effects on each other. Meteorological conditions, equipment reliability characteristics and investment in maintenance resources all interact and can have a significant impact on the profitability of a project, making this a complex modeling challenge.
What they needed was a high-performance computation environment that could provide industrial-grade reliability at scale. Wolfram Consulting implemented an effective software solution that processes meteorological and oceanic datasets, provides robust statistical and analytical capabilities, and adds advanced visualizations.
The client then used Wolfram’s technology to analyze the datasets, deriving statistics and fitting distributions and parametric models to compute persistence metrics—the probability that a given event lasts for a certain amount of time. In addition, time series analytics were used to quickly convert disparate datasets and make them usable by the discrete-event simulation system.
This solution has been deployed in the field to assist and support multibillion-euro development projects in European offshore wind by global energy and utilities organizations.