Sam is a program manager in the Buildings Technology and Urban Systems Division at Lawrence Berkeley National Laboratory. He has a Bachelors and Masters degree in Engineering, a project management certification and is currently a PhD student in the Energy, Civil Infrastructure and Climate Science Program in the Civil and Environmental Engineering Department at UC Berkeley. He is a fellow at the Clean Energy Leadership Institute (CELI). His research interest domains include energy efficiency, risk assessment during extreme events and the climate-energy-health nexus in the built environment. His research methodologies include remote sensing, computer vision, computational fluid dynamics, machine learning and control of dynamical systems. He has worked on a diverse set of projects including using energy management information systems to improve building energy performance, developing low-cost highly-accurate measurement and verification techniques and leveraging advances in remote sensing, machine learning and data-driven approaches to reduce the climate impact of the built environment. He has also been involved in technology commercialization through past work in an early stage technology start-up and successfully commercializing LBNL developed technology.
Retro-commissioning Sensor Suitcase Commercialization Team: Samuel Fernandes, Jessica Granderson, Guanjing Lin, Robin Mitchell
"Assessment of Model-Based Peak Electric Consumption Prediction for Commercial Buildings." Energy and Building 245 (2021). .
"Detecting the undetected: Dealing with non-routine events using advanced M&V meter-based savings approaches." ACEEE Summer Study on Energy Efficiency in Buildings. 2020. .
"Meter-Based Assessment of the Time and Locational Benefits of a Large Utility’s DSM Portfolio." 2020 Summer Study on Energy Efficiency in Buildings. 2020. .
"Spatio-temporal impacts of a utility’s efficiency portfolio on the distribution grid." Energy 212.118669 (2020). .
"From Theory to Practice: Lessons Learned from an Advanced M&V Commercial Pilot." International Energy Program Evaluation Conference. 2019. .
"Field evaluation of performance of HVAC optimization system in commercial buildings." Energy and Buildings 173 (2018) 577 - 586. .
"Corporate Delivery of a Global Smart Buildings Program." Energy Engineering (2018). LBNL-2001096. .
"Gradient boosting machine for modeling the energy consumption of commercial buildings." Energy and Buildings (2018). LBNL-2001097. .
"The State of Advanced Measurement and Verification Technology and Industry Application." The Electricity Journal 30.8 (2017) 8-16. LBNL-2001068. .
"Application of Automated Measurement and Verification to Utility Energy Efficiency Program Data." Energy and Buildings 142 (2017) 191-199. LBNL-1007286. .
"Accuracy of Automated Measurement and Verification (M&V) Techniques for Energy Savings in Commercial Buildings." Applied Energy 173 (2016) 296-308. LBNL-1005181. .
"Unlocking Energy Efficiency in Small Commercial Buildings through Mechanical Contractors." Journal of Architectural Engineering (2016). LBNL-1006015. .
"Will the Measurement Robots Take Our Jobs? An Update on the State of Automated M&V for Energy Efficiency Programs." Proceedings of the 2016 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 2016." (2016). LBNL-1006283. .
Assessment of Automated Measurement and Verification (M&V) Methods. Berkeley: LBNL, 2015. LBNL-187225. .
"M & V Shootout: Setting the Stage For Testing the Performance of New Energy Baseline." 2015 International Energy Program Evaluation Conference. Long Beach, CA, 2015. LBNL-1003782. .