Nina Zheng Khanna is a Principal Scientific Engineering Associate in the Sustainable Energy & Environmental Systems Department. Since 2007, she has provided technical assistance to China's appliance efficiency standards and labeling programs, led integrated bottom-up energy systems and environmental modeling, developed low carbon cities tools, and conducted energy demand and supply analysis. Her recent research focuses on techno-economic, bottom-up modeling, and scenario analysis of technologies and policies for accelerating clean energy transition and climate change mitigation in China and globally. She is also a Contributing Author to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report’s chapter on mitigation and development pathways in the mid- to near-term.
Nina holds a Bachelors of Science in Science, Technology and International Affairs from Georgetown University’s Walsh School of Foreign Service and a Master's in Energy and Resources from University of California at Berkeley.
Women Leaders in Energy Fellowship: Nina Khanna - May 11th 2021
Spot: Hongyou Lu and Nina Khanna - March 19th 2021
For outstanding coordination and tireless dedication to complete the report with high quality for a Japanese funder, The Research Institute of Innovative Technology for the Earth (RITE).
Spot: Nina Khanna, Hongyou Lu - March 19th 2021
For outstanding coordination and tireless dedication to complete the report with high quality for a Japanese funder The Research Institute of Innovative Technology for the Earth (RITE).
2017 R&D 100 Award: Benchmarking and Energy Saving Tool for Low-Carbon Cities (BEST Cities) - November 20th 2017
The Benchmarking and Energy Saving Tool for Low-Carbon Cities (BEST Cities) provides a rapidly deployable tool to use for low-carbon planning, especially in China. This integrated, computer-based software helps local policymakers and urban planners quickly assess their city's energy use and related emissions, compare their low-carbon performance to similar cities and develop and prioritize a low-carbon development plan with strategies that reduce city CO2 and methane (CH4) emissions. BEST Cities assesses local energy use and energy-related CO2 and CH4 emissions from nine economic sectors—industry, public and commercial buildings, residential buildings, transportation, production of power and heat, street lighting, water and wastewater, solid waste, and urban green space—giving officials a comprehensive perspective on their energy and carbon inventory. The tool benchmarks 35 indicators of energy and emissions performance with other cities inside and outside of China and prioritizes sectors with the greatest energy-saving and emissions-reduction potential. Beta-testing was provided by Shandong Academy of Sciences. The technology was based on model originally developed by ESMAP known as TRACE, the Tool for the Rapid Assessment of City Energy.