Seminar 40 -- Standardized Building Datasets for Benchmarking Control Algorithms, Energy Efficiency, Modeling and Decarbonization

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The electrical grid is undergoing significant changes due to a two-way flow of energy and information. Buildings can be essential assets in managing grid operation and supporting decarbonization efforts while maintaining thermal comfort and reducing cost. Access to high-quality standardized benchmarking datasets is a functional requirement for grid-interactive buildings. Standardized benchmarking datasets for behind-the-meter customer loads and distributed energy resources can support the development of analytical methods for assessing demand flexibility, control and optimization of building operation, measurement, verification, modeling, simulation, data management tools and metrics for evaluating technologies for the reliability and consistency of services delivered to the grid.

1. Enhancing Control Systems Points Lists: Defining Useful Information by Applying Context and Interoperability for Building to Grid Interactions< /br> Ron Bernstein, RBCG Consulting, Encinitas, CA
2. Analysis and Statistical Prediction of Variability in Time-Series Data< /br> Mahmoud Alahmad, Durham School of Architectural Engineering and Construction, University of Nebraska-Lincoln, Lincoln, NE
3. Benchmark Datasets to Support Grid-Interactive Efficient Buildings< /br> Himanshu Sharma, Ph.D., Non-Member, Pacific Northwest National Laboratory, Downers Grove, IL