Jacques de Chalendar is a doctoral candidate in the Energy Resources Engineering department at Stanford University and a Precourt State Grid Corporation of China Graduate Student Fellow through the Bits and Watts initiative. He is advised by Profs. Sally Benson and Peter Glynn.

His PhD research focuses on applying state-of-the-art computational tools, at the intersection of optimization and statistics, to energy and carbon management problems. A case in point for this research is the Stanford Energy Systems Innovations project, the campus district energy system, which provides a unique source of real data as well as an ideal test-bed for new ideas and control algorithms.

During his MSc, supervised by Prof. Sally Benson, he worked on image processing techniques and physical simulation models to further our understanding of the micron-scale behavior of trapped carbon dioxide in deep saline aquifers, and gain insights as to the long-term security of geological sequestration.

He was previously an intern at a San-Francisco-based energy management startup, Growing Energy Labs, Inc. (Geli) and in the Electricity Infrastructure group at the Pacific Northwest National Laboratory (PNNL).

Boards, Advisory Committees, Professional Organizations

  • Research Assistant, Benson Lab (2014 - Present)

Professional Education

  • Doctor of Philosophy, Stanford University, ERE-PHD (2020)
  • Master of Science, Stanford University, ERE-MS (2016)
  • MS, XXIst century Energy

Stanford Advisors

Current Research and Scholarly Interests

Integrated Energy Systems

2019-20 Courses

All Publications

  • Tracking emissions in the US electricity system. Proceedings of the National Academy of Sciences of the United States of America de Chalendar, J. A., Taggart, J., Benson, S. M. 2019


    Understanding electricity consumption and production patterns is a necessary first step toward reducing the health and climate impacts of associated emissions. In this work, the economic input-output model is adapted to track emissions flows through electric grids and quantify the pollution embodied in electricity production, exchanges, and, ultimately, consumption for the 66 continental US Balancing Authorities (BAs). The hourly and BA-level dataset we generate and release leverages multiple publicly available datasets for the year 2016. Our analysis demonstrates the importance of considering location and temporal effects as well as electricity exchanges in estimating emissions footprints. While increasing electricity exchanges makes the integration of renewable electricity easier, importing electricity may also run counter to climate-change goals, and citizens in regions exporting electricity from high-emission-generating sources bear a disproportionate air-pollution burden. For example, 40% of the carbon emissions related to electricity consumption in California's main BA were produced in a different region. From 30 to 50% of the sulfur dioxide and nitrogen oxides released in some of the coal-heavy Rocky Mountain regions were related to electricity produced that was then exported. Whether for policymakers designing energy efficiency and renewable programs, regulators enforcing emissions standards, or large electricity consumers greening their supply, greater resolution is needed for electric-sector emissions indices to evaluate progress against current and future goals.

    View details for DOI 10.1073/pnas.1912950116

    View details for PubMedID 31792173

  • Why 100% Renewable Energy Is Not Enough JOULE de Chalendar, J. A., Benson, S. M. 2019; 3 (6): 1389–93
  • City-scale decarbonization experiments with integrated energy systems ENERGY & ENVIRONMENTAL SCIENCE de Chalendar, J. A., Glynn, P. W., Benson, S. M. 2019; 12 (5): 1695–1707

    View details for DOI 10.1039/c8ee03706j

    View details for Web of Science ID 000473083100018

  • Pore-scale modelling of Ostwald ripening JOURNAL OF FLUID MECHANICS de Chalendar, J. A., Garing, C., Benson, S. M. 2018; 835: 363–92
  • Pore-scale Considerations on Ostwald Ripening in Rocks Energy Procedia de Chalendar, J. A., Garing, C., Benson, S. M. 2017; 114: 4857-4864