Data Scientist
Data Scientist

Biography

Known for her expertise in energy efficiency and resilience, Dr. Sarah Newman is an experienced data scientist at Pacific Northwest National Laboratory (PNNL), where she leads ECOMP Thrust 3 on multi-entity simulation. As a member of the Building Simulation and Design group, she adeptly applies data analysis and software design to simulate the electric grid, aiming to enhance its resilience. Her innovative projects include developing sophisticated tools for microgrid design and conducting co-simulations of the U.S. electric grid, ensuring improved energy reliability and fault detection in building systems. 

Prior to her role at PNNL, which she took on in 2018, Newman completed her PhD in astrophysics at the University of California, Berkeley in 2013. She then shifted her research focus, applying advanced computational techniques to improve energy use in commercial and residential buildings, particularly within urban settings like New York City.

Research Interest

  • Building energy data analysis
  • Energy resiliency and microgrids
  • Energy system simulation

Disciplines and Skills

  • Complex Problem-Solving
  • Statistical Analysis
  • Machine Learning
  • Time Series Analysis/Forecasting
  • Data Visualization
  • Python
  • Technical Writing
  • Software Project Management
  • Co-simulation

Education

  • PhD in astrophysics, University of California, Berkeley, 2013
  • BS in Earth, atmospheric, and planetary sciences, Massachusetts Institute of Technology, 2006

Affiliations and Professional Service

  • E-COMP Technical Steering Committee Member

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
  • Pennell B., S.F. Newman, B.W. Tarekegne, D.S. Boff, R.A. Fowler, and J.C. Gonzalez Matamoros. 2022. A Comparison of Building System Parameters Between Affordable and Market-Rate Housing In New York City. Applied Energy 323. PNNL-SA-169431. doi:10.1016/j.apenergy.2022.119557
  • Goel S., M.I. Borkum, R.A. Fowler, S.F. Newman, H. Bergmann, and D. Prahl. 2022. Audit Template Tool: Facilitating Data Driven Decision Making for Jurisdictions. In ACEEE Summer Study. PNNL-SA-171503.

2021

  • Newman S.F., D. Bhatnagar, R.S. O'Neil, A.P. Reiman, D.C. Preziuso, and B. Robertson. Evaluating the Resilience Benefits of Marine Energy in Microgrids. In Proceedings of the 14th European Wave and Tidal Energy Conference (EWTEC 2021), Virtual, Online, 2 November 2020. PNNL-SA-160842.
  • Kim J., K. Trenbath, J. Granderson, Y. Chen, E. Crowe, H.M. Reeve, and S.F. Newman, et al. 2021. Research Challenges and Directions in HVAC Fault Prevalence. Science and Technology for the Built Environment 27, no. 5:624-640. PNNL-SA-161323. doi:10.1080/23744731.2021.1898243

2020

  • Dahowski R.T., S.F. Newman, V. Sood, and T.C. Douville. Evaluating Facility Energy Efficiency and Resilience Opportunities with FEDS and MCOR. In 2020 Building Performance Analysis Conference and SimBuild, Virtual, 2 November 2020. PNNL-SA-151591.
  • Davis S.H., M.A. Elizondo, X. Fan, S.F. Newman, E.L. Barrett, X. Ke, et al. 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, 6 December 2020. PNNL-SA-154443.
  • Elizondo M.A., X. Fan, S.H. Davis, B. Vyakaranam, X. Ke, E.L. Barrett, S.F. Newman, et al. Risk-Based Dynamic Contingency Analysis Applied to Puerto Rico Electric Infrastructure. 6 December 2020. PNNL-29985. doi:10.2172/1771798.
  • Newman S.F., J. Lerond, H.M. Reeve, D.L. Vrabie, S.T. Belew, J.C. Tucker, E.T. Mayhorn. Pilot Study for Determining HVAC Fault Prevalence from Fault Monitoring Data. In ACEEE Summer Study on Energy Efficiency in Buildings, 24 August 2020. PNNL-SA-152014.
  • Newman S.F., K. Shiozawa, J.D. Follum, E.L. Barrett, T.C. Douville, T.D. Hardy, A.E. Solana. A Comparison of PV Resource Modeling for Sizing Microgrid Components. Renewable Energy 162, December 2020. PNNL-SA-152891.
  • Wendel E.M., S.F. Newman, E.M. Mets. Optimal Sizing of Resilience Solutions for the U.S. Army Reserve. In ACEEE Summer Study on Energy Efficiency in Buildings, Virtual, Online, 11-391 - 11-40217, August 2020. PNNL-SA-152056.

2018

  • Barrett E.L., B.L. Thayer, S.F. Newman, S. Pal, and K.E. Studarus. 2018. A Comparative Analysis of GridPIQ's Fossil Fuel Dispatch Algorithm. In IEEE Sustainable Technologies Conference. PNNL-SA-136116.

2015

  • Evidence for Mature Bulges and an Inside-Out Quenching Phase 3 Billion Years After the Big Bang. Science. 2015.
  • The SINS/zC-SINF Survey of z~ 2 Galaxy Kinematics: Rest-Frame Morphology, Structure, and Colors from Near-Infrared Hubble Space Telescope Imaging. The Astrophysical Journal. 2015.

2014

  • The SINS/zC-SINF survey of z~ 2 galaxy kinematics: Evidence for Gravitational Quenching. The Astrophysical Journal. 27 March 2014. doi:10.1088/0004-637X/785/1/75.
  • The SINS/zC-SINF survey of z~ 2 galaxy kinematics: Evidence for Powerful Active Galactic Nucleus-Driven Nuclear Outflows in Massive Star-Forming Galaxies. The Astrophysical Journal. 1 May 2014. doi:10.1088/0004-637X/787/1/38.

2013

  • Galactic Winds and Structure of z̃ 2 Star-forming Galaxies. Dissertation Thesis.
  • Nebular excitation in z~ 2 star-forming galaxies from the SINS and LUCI surveys: The Influence of Shocks and Active Galactic Nuclei. The Astrophysical Journal.
  • Phibss: Molecular Gas, Extinction, Star Formation, and Kinematics in the z= 1.5 Star-Forming Galaxy EGS13011166. The Astrophysical Journal.
  • Phibss: Molecular Gas Content and Scaling Relations in z~ 1-3 Massive, Main-Sequence Star-Forming Galaxies. The Astrophysical Journal.
  • The SINS/zC-SINF Survey of z~ 2galaxy Kinematics: The Nature of Dispersion-Dominated Galaxies. The Astrophysical Journal.
  • Towards a Resolved Kennicutt-Schmidt Law at High Redshift. Astronomy & Astrophysics.

2012

  • Compact, Dispersion-Dominated, Star-Forming Galaxies at z 2. American Astronomical Society Meeting Abstracts.
  • Shocked Superwinds from the z~ 2 Clumpy Star-forming Galaxy, ZC406690. The Astrophysical Journal.
  • The SINS/zC-SINF Survey of z~ 2 Galaxy Kinematics: Outflow Properties. The Astrophysical Journal.
  • The Metallicity Dependence of the CO→ H2 Conversion Factor in z 1 Star-Forming Galaxies. The Astrophysical Journal.

2011

  • Constraints on the Assembly and Dynamics of Galaxies. II. Properties of Kiloparsec-Scale Clumps in Rest-Frame Optical Emission of Z~ 2 Star-Forming Galaxies. The Astrophysical Journal.
  • High-z Superwinds from Massive Star-Forming Clumps. Bulletin of the American Astronomical Society.
  • How Well Can We Measure the Intrinsic Velocity Dispersion of Distant Disk Galaxies? The Astrophysical Journal.
  • Outflows from Massive Star-Forming Clumps in z̃ 2 Galaxies. Galaxy Formation.
  • The SINS and zC-SINF Surveys: The Growth of Massive Galaxies at z̃ 2 Through Detailed Kinematics and Star Formation With SINFONI. The Messenger.
  • The SINS Survey of z~ 2 Galaxy Kinematics: Properties of the Giant Star-Forming Clumps. The Astrophysical Journal.
  • The Growth of Galaxies at z̃ 2: Insights from Resolved Kinematics, Morphologies, Star Formation, and Metallicities. Galaxy Formation.

2009

  • Water Ice Crystallinity and Grain Sizes on Dione. Icarus.

2008

  • Correlative Observations of Enceladus and Europa: Clues to Unusual Morphology and Surface Activity. AGU Spring Meeting Abstracts.

2006

  • Composition and Physical Properties of Enceladus' Surface. Science. 2006.
  • Crystalline and Amorphous Ice on Enceladus: Observations from the Cassini Visual Infrared Mapping Spectrometer (VIMS). Bulletin of the American Astronomical Society. 2006.
  • Visual and Infrared Photometry of the Icy Satellites of Saturn with the Cassini Visual Infrared Mapping Spectrometer (VIMS). Bulletin of the American Astronomical Society.

2005

  • Photometric and Spectral Study of the Saturnian Satellites. Journal Article.