Development of open-source software for simulating energy system operations
Energy systems around the world face dual challenges: rapidly decarbonizing (including increasing dependence on variable renewable energy) while also withstanding increasingly severe weather and the longer-term impacts of climate change. Incorporating weather and climate stressors into computational energy systems analysis is becoming even more important in long term planning and short-term operations. However, there aren’t many open-source models available for stress testing energy systems under weather and climate uncertainty, and/or examining potential risk mitigation pathways. One reason for this is that it’s challenging for open-source models to achieve high fidelity and accuracy while remaining computationally tractable (fast enough to facilitate Monte Carlo type simulation experiments) (see figure below).
Our group tries to develop solutions to this problem in the form of open-source software that allows users to easily customize the scale (and track the accuracy) of operational models of the U.S. bulk electric power system. Our approach allows users to search over numerous model parameters (network topology, mathematical formulation, economic hurdle rates, and transmission line scaling) to identify model instantiations that fit the experiment and computational resources at hand. We also use the software to answer science questions related to decarbonization and the vulnerability of power systems to extreme events.
Our ongoing efforts in this area include a collaboration with the DOE Office of Science-funded IM3 project, for which the Kern Group developed interconnection scale power system models for the contiguous United States. In addition, with NSF support we are developing an open source daily natural gas market model for North America, which mirrors the topology of the U.S. Energy Information Administration’s natural gas market model used in their Annual Energy Outlook projections. These projects are linked, and collectively provide cool, new capabilities for exploring the cascading impacts of system shocks (e.g. from extreme weather, cyber attacks, and/or other supply chain disruptions).
Relevant Papers:
Prieto-Miranda, L., Kern, J. (2024). “High-resolution, open-source modeling of inland flooding impacts on the North Carolina bulk electric power grid”. Environmental Research: Energy. https://doi.org/10.1088/2753-3751/ad3558
Akdemir, K., Oikonomou, K., Kern, J., Voisin, N., Ssembatya, H., Qian, J. (2024). “An Open source Framework for Balancing Computational Speed and Fidelity in Production Cost Models.” Environmental Research: Energy. DOI 10.1088/2753-3751/ad1751
Akdemir, K., Robertson, B., Oikonomou, K., Kern, J., Voisin, N., Hanif, S., Bhattacharya, S. (2023). “Opportunities for wave energy in bulk power system operations.” Applied Energy.
Denaro, S., Cuppari, R., Kern, J., Su, Y., Characklis, G. (2022). “Assessing the Bonneville Power Administration’s Financial Vulnerability to Hydrologic Variability“. Journal of Water Resources Planning and Management. Vol. 148, Issue 10. doi: 10.1061/(ASCE)WR.1943-5452.0001590
Akdemir, K., Kern, J.D., Lamontagne, J. (2022). “Assessing risks for New England’s wholesale electricity market from wind power losses during extreme winter storms“. Energy. Vol. 251. https://doi.org/10.1016/j.energy.2022.123886
Wessel, J., Kern, J.D., Voisin, N., Oikonomou, K., Haas, J. (2022). “Technology pathways could help drive the U.S. West Coast grid’s exposure to hydrometeorological uncertainty.” Earth’s Future. Volume 10, Issue 1. https://doi.org/10.1029/2021EF002187
Su, Y., Kern, J.D, Characklis, G. (2022). “The Effects of Retail Load Defection on a Major Electric Utility’s Exposure to Weather Risk” Journal of Water Resources Planning and Management. Volume 148, Issue 3.
Hill, J., Kern, J.D, Rupp, D., Voisin, N., Characklis, G. (2021). “The Effects of Climate Change on Interregional Electricity Market Dynamics on the U.S. West Coast” Earth’s Future. Volume 9, Issue 12. https://doi.org/10.1029/2021EF002400
Su, Y., Kern, J.D., Reed, P., Characklis, G. (2020). “Compound Hydrometeorological Extremes Across Multiple Timescales Drive Volatility in California Electricity Market Prices and Emissions”. Applied Energy.
Kern, J.D., Su, Y., Hill, J. (2020). “A retrospective study of the 2012-2016 California drought and its impacts on the power sector.” Environmental Research Letters. 15 094008
Su, Y., Kern, J., Denaro, S., Hill, J., Reed, P., Sun, Y., Cohen, J., Characklis, G. (2020). “An open source model for quantifying risks in bulk electric power systems from spatially and temporally correlated hydrometeorological processes” Environmental Modelling and Software. Vol. 126.