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arvind.ravikumar@austin.utexas.edu
512-471-3630
Office Location: CPE 5.162
Arvind Ravikumar
Research Associate Professor
Co-Director, Energy Emissions Modeling and Data Lab
Department Research Areas:
Unconventional Resources
Natural Gas Engineering
Energy Emissions Modeling and Data Lab
Educational Qualifications:
PhD and MA, Electrical Engineering, Princeton University, 2015.
MSc, Physics, Birla Institute of Technology and Science, 2010.
BE, Electrical Engineering, Birla Institute of Technology and Science, 2008.
Research:
Dr. Ravikumar’s research group, the Sustainable Energy Development Lab, focuses on developing technical, social and policy solutions to effective climate action in the global energy sector through a combination of field work, model development and scenario analysis. Specific topics include the role of new technologies in decarbonizing the oil and gas industry, methane emissions and the future of LNG and natural gas, equitable energy transitions in extractive economies, and energy demand and sustainability in the developing world. He is also co-director of the Energy Emissions Modeling and Data Lab.
Awards & Honors:
Newport Graduate Award in Photonics, Princeton University, 2015.
Outstanding Teaching Assistant Award, Electrical Engineering, Princeton University, 2015.
Graduate Teaching Fellowship, McGraw Center for Teaching and Learning, Princeton University, 2014.
3rd Place, 8th Annual Innovation Forum, Keller Center for Innovation, Princeton University, 2013.
Princeton Climate and Energy Scholars Research Grant, Princeton Environmental Institute, 2014–2015.
Invited Talks & Seminars:
Rice University, Department of Civil & Environmental Engineering Seminar. The Role of Liquefied Natural Gas in a Carbon Constrained World. October 2021.
University of Texas at Austin, Petroleum & Geosystems Engineering Grad Seminar Series. The Future of Energy: Sustainability in the Oil & Gas Sector. September 2021.
Interstate Natural Gas Association of America. Addressing Methane Emissions from Midstream Transmission and Storage Compressor Station. September 2021.
AAAS Center for Scientific Evidence in Public Issues. Anticipating Changes in Federal Methane Emissions Standards for Oil and Gas Operations. September 2021.
U.S. EPA Methane Technology Workshop. FEAST-based Evaluation of Methane Leak Detection and Repair Programs Using New Technologies. August 2021.
The Atlantic Council Roundtable. Global LNG Expansion Exceeds Demand for Coal-to-gas Switching in Paris Compliant Pathways. June 2021.
Cheniere Supplier Meeting. State of Methane Emissions Monitoring: How Do You Choose the ‘Right’ Technology? May 2021.
METEC Industry Advisory Board Meeting. Introduction to FEAST 3.1: Evaluating New Methane Emissions Detection Technologies. May 2021.
European Commission Workshop on a Regulatory Approach on Leak Detection and Repair of Methane Emissions in the Oil and Gas Sectors. The next generation of methane mitigation policies: how new technologies will revolutionize global natural gas trade. March 2021.
Stanford Natural Gas Initiative Methane Symposium. Leak detection and repair of the future. February 2021.
Climate Series e-Sessions, Society of Petroleum Engineers. Detection vs quantification technologies: Standardization and Best Practices in development. February 2021.
U.S. Environmental Protection Agency virtual webinar. Introduction to FEAST 3.1: Pathway to Equivalence Project. February 2021.
Energy Seminar Series, North Carolina State University. Friends or Foes: Understanding the Role of Natural Gas in the Biden-Harris Administrations Climate Agenda. February 2021.
Highlighted Publications and Google Scholar Profile:
Yang, S., Hastings-Simon, S., and Ravikumar, A.P. (2020). Global Liquefied Natural Gas industry expansion may imperil Paris Agreement temperature targets. In review at Nature Energy.
Wang, J., Nadarajah, S., Wang, J., and Ravikumar, A.P. (2020). A machine learning approach to methane emissions mitigation in the oil and gas industry. NeurIPS 2020 Workshop on Tackling Climate Change with AI. Best Overall Paper Award.
Sherwin, E.D., Chen, Y., Ravikumar, A.P., and Brandt, A.R. (2020). Single-blind test of airplane-based hyperspectral methane detection via controlled releases. In review at Elementa: Science of the Anthropocene.
Kemp, C., and Ravikumar, A.P. (2020). New Technologies Can Significantly Reduce the Cost of Addressing Methane Emissions from the Oil and Gas Industry. In review at Environmental Science & Technology.
Rutherford, J.S., Sherwin, E.D., Ravikumar, A.P., Heath, G., Englander, J., Cooley, D., Lyon, D., Omara, M., Langfitt, Q., and Brandt, A.R. (2020). Closing the gap: Explaining persistent underestimation by US oil and natural gas production-segment methane inventories. In review at Nature Communications.
Liu, R.E., Bergerson, J.A., Ravikumar, A.P., Nie, Y., Brandt, A.R., Woloschuk, K., Zhang, S., and Bi, T. (2019). Greenhouse gas emissions of western Canadian natural gas: A proposed method for life-cycle emissions tracking. In review.
Singh, D., Barlow, B., Hugenholtz, H., Funk, W., Robinson, C., and Ravikumar, A.P. (2020). Field performance of new methane detection technologies: Results from the Alberta Methane Field Challenge. In review.
Nie, Y., Zhang, S., Liu, R.E., Roda-Stuart, D., Ravikumar, A.P., Bradley, A., Masnadi, M.S., Brandt, A.R., Bergerson, J., and Bi, X.T. (2020). Greenhouse-gas emissions of Canadian liquefied natural gas for use in China: Comparison and synthesis of three independent life cycle assessments. Journal of Cleaner Production 258 120701.
Klise, K.A., Nicholson, B.L., Laird, C.D., Ravikumar, A.P., and Brandt, A.R. (2020). Sensor placement optimization software applied to site-scale methane emissions monitoring. Journal of Environmental Engineering. 146 04020054.
Wang, J., Tchapmi, L.P., Ravikumar, A.P., McGuire, M., Bell, C., Zimmerle, D., and Brandt, A.R. (2020). Machine vision for natural gas methane emissions detection using an infrared camera. Applied Energy 257 113998.