Maartje Boon joined Stanford University in 2017 as a Postdoctoral Research Fellow in the Department of Energy Resources Engineering in the School of Earth, Energy & Environmental Sciences. She combines experimental techniques involving X-Ray CT imaging with numerical modelling to look at the impact of rock structure heterogeneities on multiphase flow properties and its implications for Carbon Capture and Storage (CCS).
Boon obtained her PhD degree in Petroleum Engineering from Imperial College London where she was part of the Qatar Carbon Capture and Storage Research Centre (QCCSRC). She developed a new experimental technique to observe solute spreading and mixing in natural consolidated rock. She used experimentally obtained statistical rock descriptions to numerically investigate the impact of rock heterogeneity on reactive transport in porous media.
Her ambition is to become an expert in experimental imaging techniques as well as numerical modelling of reactive transport in porous media. In the future, she would like to have her own research group at one of the leading universities in the field of Energy Sustainability.
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).
Rebecca Grekin is an MS student in the Energy Resources Engineering department at Stanford University working in the Benson lab. She is working closely with the Stanford Office of Sustainability to determine the best methodologies and frameworks for accounting for the embodied emissions for goods that Stanford purchases. By focusing on this often overlooked aspect of an entity's greenhouse gas emissions, Rebecca hopes to provide insights into concrete solutions that can be implemented to decrease Stanford's emissions. Before arriving at Stanford, Rebecca received her bachelor’s degree in Chemical Engineering with minors in Environment & Sustainability and French at the Massachusetts Institute of Technology.
Michael is a postdoctoral fellow whose interests encompass international development projects requiring productive energy use and how to increase their success through transdisciplinary approaches. He has a dual appointment in the Precourt Institute for Energy and the Department of Energy Resources Engineering. His current work focuses on understanding and reducing produce supply chain inefficiency in India from a systems perspective, while identifying and testing scalable interventions with on-the-ground partners and end-users. Michael completed a PhD in Materials Science and Engineering as an NSF Graduate Research Fellow at Stanford. His thesis focused on using fundamental research to develop design descriptors for improving solar-to-fuel and fuel-to-electricity conversion using electrochemistry.
Michael’s interest in social and environmental impact work began in high school as the president of the region’s youth-led tobacco free coalition. The coalition was runner-up for National Youth Advocates of the Year given by the Campaign for Tobacco Free Kids when Idaho (his home state) went tobacco-free. At Kenyon College, he self-designed a major in Chemical Physics to understand how related disciplines approach challenges in renewable energy technology development while co-captaining the men’s NCAA National Champion swim team.
After graduating in 2009, Michael moved to Germany as a Transatlantic Renewable Energy Fellow to research low-cost solar cells while learning about the sociopolitical environment that placed Germany as a global leader in renewable energy integration. While there, he attended the UNFCCC COP15 climate summit with two other fellows. Leading up to and during the highly anticipated event, they wrote and published an educational blog for the public. After leaving Germany, Michael lived in Southeast Asia as a Henry Luce Scholar to gain first-hand experience with renewable energy integration in unelectrified regions of Laos and Cambodia. This experience informed his desire to continue work on energy inequality and development around the world.
Hailun Ni obtained her B.S. degree with honor and M.S. degree from Energy Resources Engineering department at Stanford University and is currently a third year Ph.D. student in the Benson Lab. Her thesis focuses on characterizing and predicting the amount of CO2 capillary heterogeneity trapping as well as CO2 snap-off trapping through both experiments and simulation. She conducts CO2/water coreflooding experiments at realistic reservoir conditions in order to see how different degrees and types of heterogeneity in a rock core affect its post-imbibition CO2 trapping ability. She is also in the process of developing a reduced physics simulator in Matlab based on macroscopic percolation algorithm in order to match and predict experimental results.
Gege Wen is a Ph.D. candidate in the Benson Lab. She obtained her B.S. degree from the Mining Engineering Department at the University of Toronto and an M.S. degree from the Civil and Environmental Engineering Department at Stanford University.
Her Ph.D. research focuses on using deep learning to conduct fast multiphase flow simulation.