Spencer Dutton
Building Energy Research at LBNL
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSpencer Dutton is a building energy researcher and software engineer with 11 years of experience blending rigorous simulation software development and applied building science. Based in Berkeley, he combines a PhD-level background in building energy performance modelling with hands-on contributions to major open-source projects like EnergyPlus, where he improved HVAC simulation accuracy and code quality. At LBNL he focuses on low-energy cooling, hybrid HVAC, thermal storage, IAQ and controls to optimize occupant health and energy use, building on earlier roles delivering C++ simulation systems for spacecraft and ground stations. Comfortable across research, field monitoring and production code, he brings a rare mix of academic experiment design and practical systems debugging that tightens the link between measured indoor environmental behavior and predictive models.
11 years of coding experience
6 years of employment as a software developer
PhD, PhD. Building Energy Performance Modelling, PhD, PhD. Building Energy Performance Modelling at University of NottinghamBSc, Physics, BSc, Physics at Imperial College London
Github Skills (4)
cprogramming-language10
c-language10
energyplus10
debugging9
Programming languages (2)
Github contributions (5)
NatLabRockies/EnergyPlus
Jan 2018 - Mar 2018
EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 commits, 60 pushes, 3 branches in 1 month
Contributions summary:Spencer primarily focused on fixing bugs and improving code quality within the EnergyPlus codebase. Their contributions involved modifying core files related to HVAC systems, specifically addressing issues in scaling and resetting variables within the simulation model. The code changes indicate a focus on ensuring the accurate calculation and reporting of energy consumption and system performance metrics. These contributions are crucial for maintaining the reliability and precision of the building energy simulation program.
energyplussimulation
spencerdutton/stanford-lbnl-hybrid-model
May 2026 - May 2026
Contributions:3 pushes in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.