Sarah Newman

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Biography

Dr. Newman is a data scientist in the buildings and connected systems group. She works on applying data analysis and machine learning techniques to improving the energy efficiency and resiliency of buildings. Her projects include developing a web app to quantify the impacts of efficiency and generation projects on the electricity grid, creating tools to design microgrids for resiliency, deployment of machine learning techniques on real-time building systems data to improve efficiency and operations, and analysis of fault prevalence in commercial buildings.

Before joining PNNL in 2018, Sarah received her PhD in Astrophysics from UC Berkeley in 2013, and then transitioned to energy research, developing machine learning models to improve efficiency and comfort in multifamily buildings, and analyzing retrofit opportunities and impacts for NYC's building stock.

Research Interests

Building energy data analysis
Energy resiliency and microgrids
Applying Machine Learning to sustainability projects

Education and Credentials

PhD, Astrophysics, UC Berkeley
B.S., Earth, Atmospheric, and Planetary Sciences, MIT

PNNL Publications

2022

Barrett E.L., K. Mahapatra, M.A. Elizondo, X. Fan, S.H. Davis, S.F. Newman, and P.D. Royer, et al. 2022. "A Risk-Based Framework for Power System Modeling to Improve Resilience to Extreme Events." IEEE Open Access Journal of Power and Energy 10. PNNL-SA-166412. doi:10.1109/OAJPE.2022.3214175
Newman S.F., D. Bhatnagar, R.S. O'Neil, A.P. Reiman, D.C. Preziuso, and B. Robertson. 2022. "Evaluating the resilience benefits of marine energy in microgrids." International Journal of Marine Energy 5, no. 2:143-150. PNNL-SA-169469. doi:10.36688/imej.5.143-150

2021

Newman S.F., D. Bhatnagar, R.S. O'Neil, A.P. Reiman, D.C. Preziuso, and B. Robertson. 2021. "Evaluating the resilience benefits of marine energy in microgrids." In Proceedings of the 14th European Wave and Tidal Energy Conference (EWTEC 2021), September 5-9, 2021, Virtual, Online, 1892-1 - 1892-9. Southampton:European Wave and Tidal Energy Conference Series. PNNL-SA-160842.

2020

Dahowski R.T., S.F. Newman, V. Sood, and T.C. Douville. 2020. "EVALUATING FACILITY ENERGY EFFICIENCY AND RESILIENCE OPPORTUNITIES WITH FEDS AND MCOR." In 2020 Building Performance Analysis Conference and SimBuild, September 29-October 1, 2020, (Virtual), 19-26. Atlanta, Georgia:ASHRAE. PNNL-SA-151591.
Davis S.H., M.A. Elizondo, X. Fan, S.F. Newman, E.L. Barrett, X. Ke, and B. Vyakaranam, et al. 2020. "Data Requirements for Application of Risk-Based Dynamic Contingency Analysis to Evaluate Hurricane Impact to Electrical Infrastructure in Puerto Rico." In CIGRE-US 2020 Next Generation Network Paper Competition. PNNL-SA-154443.
Elizondo M.A., X. Fan, S.H. Davis, B. Vyakaranam, X. Ke, E.L. Barrett, and S.F. Newman, et al. 2020. Risk-Based Dynamic Contingency Analysis Applied to Puerto Rico Electric Infrastructure. PNNL-29985. Richland, WA: Pacific Northwest National Laboratory. doi:10.2172/1771798.Risk-Based Dynamic Contingency Analysis Applied to Puerto Rico Electric Infrastructure
Newman S.F., J. Lerond, H.M. Reeve, D.L. Vrabie, S.T. Belew, J.C. Tucker, and E.T. Mayhorn. 2020. "Pilot Study for Determining HVAC Fault Prevalence from Fault Monitoring Data." In ACEEE Summer Study on Energy Efficiency in Buildings, August 17- 21, 2020. Virtual, Online, 3-244 - 3-258. Washington Dc:American Council for an Energy-Efficient Economy. PNNL-SA-152014.
Newman S.F., K. Shiozawa, J.D. Follum, E.L. Barrett, T.C. Douville, T.D. Hardy, and A.E. Solana. 2020. "A Comparison of PV Resource Modeling for Sizing Microgrid Components." Renewable Energy 162. PNNL-SA-152891. doi:10.1016/j.renene.2020.08.074
Wendel E.M., S.F. Newman, and E.M. Mets. 2020. "Optimal Sizing of Resilience Solutions for the U.S. Army Reserve." In ACEEE Summer Study on Energy Efficiency in Buildings, August 17, 21, 2020. Virtual, Online, 11-391 - 11-402. Washington, District Of Columbia:American Council for an Energy Efficient Economy. PNNL-SA-152056.