Rongxin Yin is a Senior Scientific Engineering Associate in the Grid Integration Group of Lawrence Berkeley National Laboratory. He has been at LBNL since 2007 and focuses his career on building science, energy and buildings, and building to grid. His research focuses on energy efficiency and demand response (EE&DR) in commercial buildings, energy modeling, methodologies for baseline models for EE & DR, thermal energy storage, and smart grids. He is the primary developer of the Demand Response Quick Assessment Tool (DRQAT) for commercial buildings and refrigerated warehouses. He has a Master’s of Science Degree in Building Science from the University of California, Berkeley, and a Master’s of Science Degree in Mechanical Engineering from Tongji University in China
Rongxin Yin
Publications
2020
"Developing and Evaluating Metrics for Demand Flexibility in Buildings: Comparing Simulations and Field Data." ACEEE Summer Study. 2020. .
2019
"Provision of secondary frequency regulation by coordinated dispatch of industrial loads and thermal power plants." Applied Energy 241 (2019) 302 - 312. .
2018
"A Two-Layer Framework for Quantifying Demand Response Flexibility at Bulk Supply Points." IEEE Transactions on Smart Grid 9.4 (2018) 3616 - 3627. .
2017
Exploration of PG&E AutoDR Incentive Options. 2017. LBNL-2001330. .
2016
"Comparison of Actual Costs to Integrate Commercial Buildings with the Grid." 2016 ACEEE Summer Study on Energy Efficiency in Buildings. 2016. LBNL-2001004. .
2015
Demand Response Research Center - Final Report. 2015. LBNL-1005753. .
"Distributed Energy Systems Integration and Demand Optimization for Autonomous Operations and Electric Grid Transactions." Applied Energy Special Issue on Integrated Energy Systems (2015). LBNL- 1003742. .
"Characterization and Effectiveness of Technologies for India’s Electric Grid Reliability and Energy Security." India Smart Grid Week 2015. 2015. LBNL-6994E. .
"Estimation of Potential and Value of Demand Response for Industrial and Commercial Consumers in Delhi." India Smart Grid Week 2015. Bengaluru, India, 2015. LNBL-6987E. .
"Findings from an Advanced Demand Response Smart Grid Project to Improve Electricity Reliability in India." India Smart Grid Week 2015. 2015. LBNL-6982E. .
2014
Demonstration of automated price response in large customers in New York City using Auto-DR and OpenADR. Berkeley: Lawrence Berkeley National Laboratory, 2014. LBNL-186969. .
2013
"Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR." International Conference for Enhanced Building Operations (ICEBO) 2013. Montreal, Quebec, 2013. LBNL-6472E. .
Automated Demand Response Technologies and Demonstration in New York City using OpenADR. LBNL/NYSERDA, 2013. LBNL-6470E. .
2012
2010
"Study on Auto-DR and Pre-cooling of Commercial Buildings with Thermal Mass in California." Energy and Buildings 42.7 (2010) 967-975. LBNL-3541E. .
"Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California." 2010 ACEEE Summer Study on Energy Efficiency in Buildings. Pacific Grove, CA, 2010. LBNL-3636E. .
2009
Demand Shifting with Thermal Mass in Large Commercial Buildings in a California Hot Climate Zone. CEC/LBNL, 2009. LBNL-3898E. .