Daniel is a postdoctoral fellow at Lawrence Berkeley National Labs. He received his BS and PhD in electrical engineering from MIT (2010) and UC Berkeley (2017), respectively. Daniel’s PhD dissertation topic was on developing a fully on-chip LED driver with novel techniques such as multilevel converters, sigma-delta control, and active ripple cancellation. His postdoctoral work is focused on DC power distribution, and he was the technical lead on much of LBNL’s studies in the efficiency and economics of DC power. Daniel also developed several DC power analysis tools and built up the LBNL DC testing lab. His other interests span power electronics, power systems, microgrids, controls, and networked buildings.
"Direct-DC Power in Buildings: Identifying the Best Applications Today for Tomorrow’s Building Sector." 2020 Summer Study on Energy Efficiency in Buildings. Pacific Grove, CA: ACEEE, 2020. .
"Energy-saving opportunities of direct-DC loads in buildings." Applied Energy 248 (2019) 274 - 287. .
"Emerging Zero-Standby Solutions for Miscellaneous Electric Loads and the Internet of Things." Electronics 8.5 (2019). .
Direct Current as an Integrating and Enabling Platform for Zero-Net Energy Buildings. Sacramento, CA: California Energy Commission, 2019. .
"Techno-economic analysis of DC power distribution in commercial buildings." Applied Energy 230 (2018) 663 - 678. .
"Zero Standby Solutions with Optical Energy Harvesting from a Laser Pointer." Electronics 7.11 (2018). .
"A simulation-based efficiency comparison of AC and DC power distribution networks in commercial buildings." Applied Energy 210 (2018) 1167-1187. LBNL-2001160. .
"Emerging Solutions to the Standby Power Problem." ACEEE 2018 Summer Study on Energy Efficiency in Buildings 2018. .
"A simulation-based efficiency comparison of AC and DC power distribution networks in commercial buildings." Second International Conference on DC Microgrids. 2017. .
Review of DC Power Distribution in Buildings: A Technology and Market Assessment. Berkeley, CA: Lawrence Berkeley National Laboratory, 2017. LBNL-2001006. .