Overview
Personal Profile
Bernard Knueven is a part of the Complex Systems Simulation & Optimization group within the Computational Science Center. His background is in the theoretical and computational aspects of integer programming as applied to power systems problems. He has passion for stochastic optimization and other operations research methods as applied to renewables integration and expansion.
Research Interests
Mixed integer programming
Stochastic programming
Parallel algorithms
Electricity markets
Professional Experience
Senior Member of Technical Staff, Sandia National Laboratories (2018-2020)
Education/Academic Qualification
Master, Mathematics, Miami University
Bachelor, Mathematics, Northern Kentucky University
Bachelor, Music, Northern Kentucky University
PhD, Industrial Engineering, University of Tennessee
Master, Industrial Engineering, University of Tennessee
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Collaborations and Top Research Areas From the Past 5 Years
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Optimization of Desalination Systems with Detailed Water Chemistry through Integration of Reaktoro in WaterTAP
Akkor, I., Amusat, O., Vecchiarelli, P., Gounaris, C., Knueven, B. & Dudchenko, A., 2026, In: ACS ES and T Engineering. 14 p.Research output: Contribution to journal › Article › peer-review
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Beyond Price-Taker: Multiscale Optimization of Wind and Battery Integrated Energy Systems
Chen, X., Gao, X., Guittet, D., Tumbalam Gooty, R., Knueven, B., Siirola, J., Miller, D. & Dowling, A., 2025, In: IEEE Transactions on Energy Markets, Policy and Regulation. 3, 3, p. 297-308 12 p.Research output: Contribution to journal › Article › peer-review
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OptiBench: An Optimization Benchmark Tool for Renewable Energy Problems
Gangwar, H., Panda, K., Knueven, B. & Mueller, J., 2025, p. 16-26. 11 p.Research output: Contribution to conference › Paper
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ACOPF Transmission Switching Using Open-Source MINLP Solvers
Jain, P., Zhang, P., Sigler, D. & Knueven, B., 2024. 5 p.Research output: Contribution to conference › Paper
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Near-Optimal Solutions for Day-Ahead Unit Commitment: Article No. 110678
Yang, D., Knueven, B., Watson, J.-P. & Ostrowski, J., 2024, In: Electric Power Systems Research. 234, 7 p.Research output: Contribution to journal › Article › peer-review
1 Scopus Citations