Projects
2023 Projects
Remember, you are NOT limited to only the posted projects. We encourage you to reach out directly to faculty if you are interested in their research.
Note: More projects will be added as we hear from faculty. Please check back regularly.
John D. Baniecki, SLAC National Accelerator Laboratory
There is an urgent need to develop new non-volatile memory devices and 3D integration strategies to lower the energy consumption of future high-performance and machine learning-driven computing which is on an unsustainable energy consumption trajectory. We are exploring flash annealing (FLA) of new ferroelectric and oxide semiconducting materials for backend-of-line (BEOL) 3D monolithic integration allowing lower energy consumption at the device level as well as providing for lower latency and energy penalty associated with data transfer. FLA is a highly non-equilibrium annealing technique where sub-ms intense pulses of light allow localization of thermal transients to near surface regions protecting underlying BEOL components. The temperature within the device stack depends on the thermal and optical properties and thicknesses of the layers.
The student will develop thermal simulations of temperature profiles within device stacks using COMSOL accounting for the temperature, wavelength, thickness, and process dependent optical and thermal properties of the layers. The student will collaborate closely with members of teams involved in the growth and characterization of new classes of ferroelectric and oxide semiconducting materials attending weekly group meetings both on the Stanford campus (group of Paul McIntyre) and at SLAC (John Baniecki). The student will have the opportunity to engage in a variety of measurements of these materials with group members and, schedule permitting, partake in beamtime experiments using a newly commissioned flash annealing tool at SLAC that enables monitoring structural transformations in-situ using synchrotron X-rays with sub-ms time resolution during FLA.
Contact: John D. Baniecki (Senior Scientist, SLAC), jbanieck@slac.stanford.edu
Reinhold Dauskardtlab, Materials Science and Engineering
Project 1: Perovskite Solar Modules
This project will involve studies of the perovskite solar cell processing, device performance and thermomechanical properties. Supervised by Austin Cristobal Flick.
Project 2: Scalable manufacturing of solid-state lithium batteries using open-air deposition techniques.
Supervised by Gabe Crane.
Ken Hara, Aeronautics and Astronautics
At the Plasma Dynamics Modeling Laboratory, we develop theoretical and computational models of rarefied and ionized gases, which are used for various engineering applications, including spacecraft propulsion, microelectronics fabrication, material processing, plasma-assisted chemical reactions, and fusion energy. The summer project will involve developing and implementing new capabilities in our computational models. Experiences with scientific computing and strong analytical skills are desired.
Harold Y. Hwang, Applied Physics
Strain engineering of freestanding electrocatalysts for sustainable chemical synthesis
Description: Electrochemical conversion of sustainable resources (e.g., H2O, CO2, and N2) into industrial chemicals and fuels (e.g., H2, CxHyOz, and NH3) is crucial for decarbonization. The oxygen evolution reaction (OER) is the critical anodic reaction in these processes, but its slow kinetics limit the overall efficiency and cost-effectiveness. Strain engineering offers particular promise in boosting OER, where a slight modulation in electrocatalysts’ atomic spacing can induce dramatic performance enhancement. However, today’s strain engineering methods are rather limited, largely to symmetric strain states. In this project, we will adopt the state-of-the-art freestanding membrane methodology [Science 368, 71 (2020)] to go beyond conventional symmetric strain and explore novel strain-enhanced OER in the entire strain space. As an undergraduate student, you will be able to design, fabricate, and stretch freestanding membrane oxides and examine their electrocatalytic performance at different strain configurations. A lot of fun!
Additional point of contact: Jiayue Wang (jiayue@stanford.edu)
Peter K. Kitanidis, Civil and Environmental Engineering
Using Mirrors for Earth's Rebalancing
Though dealing with climate change is a big challenge, it is a challenge we must meet. Emission reduction is the primary means, but it will take time. Thus, we must explore other means of stopping the earth's temperature from rising. One innovative approach is influencing the earth's albedo to reflect some of the sun's radiation back to space.
Over the last year, we have been working with MEER (Mirrors for Earth's Energy Rebalancing). This NGO stems from Harvard's Rowland Institute and is headed by Dr. Ye Tao, a physicist. MEER's overall goal as an organization is to promote the implementation of mirrors to meet dual objectives:
- On a local scale, to reduce the need for air-conditioning in houses, reduce evaporation from reservoirs or canals, and lower temperatures to create ideal growing conditions in agricultural areas in hot climates.
- On a global scale, to improve the earth's heat balance and contribute to stopping temperatures from rising.
One can find information about the basic principles of the approach here https://www.meer.org/firstprinciples
Last summer, I supervised a Harvard undergraduate who, collaborating with a local citizen scientist, installed mirrors over one apartment in Redwood City. He then (a) measured the effects of mirrors in reducing the need for air conditioning and (b) measured the reduction in evaporation from ponds installed on building roofs. The results were very encouraging. We now have several volunteers in the Bay Area, and we are about to receive mirrors that they will install.
The role of the Stanford undergraduate will be to collaborate with volunteers, collect observations, and organize data from the projects of citizen scientists. My experience from last summer has been that a motivated undergraduate can be very productive and get excited about a career in engineering for a sustainable world.
Jon Krosnick, Communication and Political Science
Technological advances in the coming decades will no doubt hold the promise to the planet cope with the undesirable effects of climate change that natural scientists say are inevitably in our future. But such advances will be helpful only if implemented on large scales by private industry, which is especially likely if encouraged by government policies. But will government do this encouraging? And will industry be responsive? Not if the public is unsupportive and unwilling to pay the costs of innovation, says one perspective on the policy-making process. Dr. Krosnick’s research team, the Political Psychology Research (PPRG) has been studying public opinion on issues related to climate change for decades and is in the process of finishing a book reporting their findings. This summer, a team of undergraduates will work with grad students and research staff to conduct studies to be incorporated into the book, exploring the factors that drive and can drive public opinion on this issue and can make people either supportive of innovation or reluctant to embrace it. Students interested in the social sciences and in understanding how research can illuminate public opinion and strategies for changing it are a great match for this summer position. The more statistical skills a student has, the better.
Stephen Luby, Medicine; Craig Criddle, Civil and Environmental Engineering; Chungheon Shin, Codiga Resource Recovery Center
Globally, waste management constitutes up to 12% of global anthropogenic emissions of methane, a potent greenhouse gas with at least 34 times the global warming potential of carbon dioxide. When organic waste decomposes in landfills and dumpsites, it produces biogas containing methane and carbon dioxide. Methane is an energy rich molecule and primary constituent of biogas that can be combusted for combined heat and power, flared, or released directly to the atmosphere. It is often emitted directly to the atmosphere because it is uneconomical to capture, clean and use. Alternatively, methane can serve as a feedstock for methanotrophic bacteria: microorganisms that use methane as their primary source of carbon and energy for growth. The resulting methanotrophic biomass is rich in protein, which can be recovered as single cell protein (SCP). SCP can serve as a component of animal feed, offsetting demand for fishmeal.
Current SCP industries rely upon natural gas as feed stock, increasing dependence of food production on fossil fuel. To transform biogas methane into SCP, we are carrying out a project that can test and optimize biogas fed-methanotrophic bioreactors. The project team consists of experts in various fields (academia, industry, engineering, health care, consulting, etc.), enabling multidisciplinary tasks: optimization of process trains, assessments of implementability and economic feasibility. Learning opportunities through this project will include (1) assessment of carbon footprint associated with biogas methane emissions and management strategies, (2) design and operation of methanotrophic bioreactors, and (3) ideas about scale-up and real-world applications. The outcome from this project will be used to build a circular economy business model (waste-to-food) in Bangladesh.
- Professor Steve Luby (Professor, Medicine): sluby@stanford.edu
- Professor Craig Criddle (Professor, Civil and Environmental Engineering): criddle@stanford.edu
- Dr. Chungheon Shin (Research Director, Codiga Resource Recovery Center): lukeshin@stanford.edu
Wendy Mao, Geological Sciences and Photon Science
Using pressure to design better materials for energy applications
Mentors: Prof Wendy Mao, Dr. Anna Celeste
The global climate and energy crisis demands alternative ways to generate and supply energy. New materials with exceptional properties are crucial to developing sustainable energy technologies. Transition metal perovskite chalcogenides are emerging semiconductors with rich tunability and functionality for a wide range of optoelectronic and photonic applications. Applying an external pressure is a powerful way to finely tune the structural and electronic properties of these materials as well as modify chemical bonds. With this approach, it is possible to study and optimize materials properties for guiding the development of future green energy applications.
In this project, the student will perform high-pressure experiments on transition metal perovskite chalcogenides exploiting a diamond anvil cell combined with in situ characterization techniques such as Raman spectroscopy and X-ray diffraction. These measurements will reveal changes in the structure of the material as function of pressure in order to better understand the mechanisms governing the structure-properties relationship in these materials.
We are looking for an engaged and enthusiastic student who will take initiative in learning new analytical techniques and applying this knowledge to their research. The project will involve collecting, analyzing, and interpreting Raman and X-ray measurements with the support of the mentor. No prior specific knowledge is required but background or training in materials science and chemistry is desirable.
Oriana Mastro, Freeman Spogli Institute for International Studies
How do rising powers like China manage to build power in international systems dominated by one or more established great powers? I am currently researching a book titled Hiding in Plain Sight: How China Became a Great Power, which will bring a fresh perspective on how rising powers like China accumulate power based on insights from the business literature. The conventional wisdom is that countries build power by emulating the past practices of great powers. But I argue the opposite. China has gained power relative to the United States by doing things differently.
Though Hiding in Plain Sight's research and findings have significant implications for other countries, this is a book about Chinese strategy. Therefore, I plan to rely heavily on Chinese sources to piece together the logic behind Chinese actions and behavior (having at least one Chinese speaking research assistant will be very useful). The student will help research the strategies China employs to gain access to energy resources and protect that access. They will not only learn about China through researching its energy policy, but I will also be mentoring them on research methods and approaches in the field of China studies.
Past Projects
2022 Projects
Nicole Ardoin, Education
We are seeking a SUPER intern to work with the Stanford Social Ecology Lab on a research project focused on addressing collective action, environmental behavior, and climate change. Specifically, we are exploring the ways in which design-thinking mindsets and approaches might be effective in motivating and supporting shifts toward more climate-friendly behavior at the individual and collective scales. This spring and summer, we will be conducting interviews with representatives from environmental organizations that currently use design-based approaches to engage various constituencies on climate- and sustainability related issues. The interviews will explore how and under what conditions design thinking mindsets and approaches might be well suited for addressing climate change and energy-related issues and behaviors. The analyzed interview data and the study's theoretical model will inform development of design-thinking workshops that bring together stakeholders involved in climate change and energy-related work at a community level. The SUPER undergraduate will work in our collaborative lab environment to assist with conducting interviews, analyzing interview data, and developing the design-thinking workshop. We will provide training on interview methods, qualitative data coding, and qualitative data analysis software usage.
Matteo Cargnello, Chemical Engineering
Synthesis and characterization of catalysts for CO2 capture and hydrogenation to fuels and chemicals.
Note: This research will only be possible if in-person lab work is allowed on campus.
Jacques de Chalendar,Energy Resources Engineering and Frank Wolak, Economics
We are looking for 1 or 2 students to join us in a collaborative team of researchers that is studying opportunities for more active management of the energy consumed by Stanford campus buildings.
At its core, COOLER is about making large, modern buildings more energy efficient, low carbon and resilient using data, optimization, and control.
In 2020, preliminary experiments conducted in three buildings demonstrated the potential of the program and motivated a more comprehensive testing and experimentation campaign in six buildings in 2021. We will continue testing in 2022. The student(s) will help the research team throughout the 2022 experimentation campaign, which could include collecting data, running and monitoring experiments, and / or creating visualizations to analyze results.
The program is a collaboration between Stanford Land, Buildings & Real Estate, Dr. Jacques de Chalendar (research lead), Professor Peter Glynn from the Department of Management Sciences & Engineering (co-PI), Professor Frank Wolak from the Department of Economics (co-PI), and senior faculty affiliated with the Stanford Precourt Institute for Energy.
Reinhold Dauskardt, Materials Science and Engineering
Scalable Manufacturing of Perovskite Solar Modules -- This project will involve students in aspects of perovskite solar cell processing, device performance and thermomechanical properties.
Wendy Gu, Mechanical Engineering
Fractures of Lithium-Ion battery cathodes during operation reduce battery capacity. Our summer project is looking at cathode fracture mechanics. This project is an opportunity for an undergraduate researcher work with our team to conduct nanoscale mechanical testing of lithium ion battery cathodes using ex-situ and in-situ SEM nanoindentation techniques. This project could involve some finite element simulations of the experiments if remote work is planned.
Lambertus Hesselink, Electrical Engineering
This project aims to define potential energy scenarios that can reduce GWG by 50% in ten years. Using data from key energy ecosystem participants, the summer undergraduate will carry out modeling of the energy flow diagram. By the end of the SUPER program, the student will have produced tangible results that can be part of a follow-on effort to further develop well-defined strategies to implement strategic outcomes. The student would also be welcome to stay involved in the follow-on program during the 2022-2023 academic year.
Mark Z. Jacobson, Civil and Environmental Engineering
Summer research will involve developing graphics and easily-understandable text to engage the public and policymakers about 100% clean, renewable energy transition plans for U.S. states and most countries of the world. New plans have recently been developed for states and countries, and the next step is to educate the public and policymakers about them. This involves creating simplified graphs, documents, and videos and reaching out to key stakeholders in countries around the world.
Jon Krosnick, Communication and Political Science
For 25 years, the Political Psychology Research Group at Stanford has been studying American public opinion on climate change, with a special interest in the economic side of policy-making. Details are at climatepublicopinion.stanford.edu. In a new survey conducted in 2020 (and covered in more than 100 news media outlets worldwide), we asked a wide array of new questions tapping Americans' preferences regarding emissions-reduction policies of various types. Our project will involve analysis of those survey data to yield peer review publications.
Fang Liu, Chemistry
Two-dimensional materials hold great promise for electronic, optoelectronic, and quantum devices. A high-throughput technique in exfoliating high quality single-crystal monolayers with sufficient size and high quality is desired for scientific research and manufacturing. This project aims to develop new top-down exfoliation methods to disassemble vdW single crystals into thin layers with high quality, enhanced yield and with dimensions, and with effective thickness control. We will start with the multiple metal-assisted exfoliation techniques for graphene, boron nitride, transition metal dichalcogenides, and further extend the technology using designed polymers and broaden the application to air and water-sensitive monolayers such as CrI3. The monolayers are of particular interest in optoelectronic or magnetic devices. Students will be trained with cutting edge material preparation and characterization techniques, and will be involved in multiple collaboration projects with people in and out of Stanford.
Sanjiva Lele, Mechanical Engineering and Aero/Astro
Sharpen your data analysis skills and discover factors which significantly influence wind turbine performance, and more comprehensively wind farm performance. Leveraging a multi-month dataset you can, for example, find out the effect of wind speed, direction, and turbulence on the power output and also how seasonal and diurnal cycles or stability of the atmospheric boundary layer affect the performance. You will have access to 3+ years of data from the wind farm Supervisory Control And Data Acquisition (SCADA) system and an additional concurrent dataset, including wind flow measurements from three nacelle mounted lidars and one vertical profiling lidar.
The wind farm in question is situated in offshore climate conditions between Finland and Sweden and comprises six Enercon E70 2.3MW wind turbines. The wind turbines are located on Stora and Lilla Båtskär and neighboring islets 16 km south of Mariehamn (Åland). The project involves collaboration between Prof. Lele at Stanford and Dr. Hu_unen from VTT, Finland.
Stephen Luby, Medicine
This project is part of ongoing work to ameliorate the environmental and public health effects of brick kilns in Bangladesh. Manual coal feeding in a typical South Asian brick kiln introduces a bolus of coal that far exceeds the available oxygen and so generates large volumes of partially combusted hydrocarbons. We have collaborated with undergraduate students enrolled in Mechanical Engineering 170 over the last two years to develop a prototype automatic coal feeder. This feeder continuously feeds a low dose of coal into the kiln and so improves combustion efficiency and should markedly reduce pollution. A prototype of the coal feeder constructed in Bangladesh according to plans developed by Stanford students is being tested in three brick kilns this winter. The students will take feedback from kiln operators and make some iterations during this winter brick kiln season.
This summer project will lay the foundation for us to offer the automatic coal feeder as a trial product to brick kiln operators in the 2022/2023 brick kiln season. We will be able to evaluate market interest and assess its impact on combustion efficiency. Specifically, the undergraduate will provide support to the Bangladeshi engineers and support workmen as they fabricate the scores of devices required for the full-kiln pilot. In addition, the student will perform preliminary design and prototyping for the next generation of automatic coal feeders. We envision that an automatic coal feeder that is robust to the working conditions in Bangladesh could markedly reduce air pollution and reduce coal consumption. We estimate that the savings in coal would cover the cost of the coal feeder within two months of operation. The savings on coal, could motivate widespread adoption of this approach across Bangladesh and so substantially reduce pollution.
Oriana Mastro, Freeman Spogli Institute for International Studies
How do rising powers like China manage to build power in international systems dominated by one or more established great powers? I am currently researching a book titled Hiding in Plain Sight: How China Became a Great Power, which will bring a fresh perspective on how rising powers like China accumulate power based on insights from the business literature. The conventional wisdom is that countries build power by emulating the past practices of great powers. But I argue the opposite. China has gained power relative to the United States by doing things differently.
Though Hiding in Plain Sight's research and findings have significant implications for other countries, this is a book about Chinese strategy. Therefore, I plan to rely heavily on Chinese sources to piece together the logic behind Chinese actions and behavior (having at least one Chinese speaking research assistant will be very useful). The student will help research the strategies China employs to gain access to energy resources and protect that access. They will not only learn about China through researching its energy policy, but I will also be mentoring them on research methods and approaches in the field of China studies.
Meagan Mauter, Civil and Environmental Engineering
Data-driven modeling of energy use for wastewater treatment
This project consists of developing a data-driven dynamic energy use model for a wastewater treatment facility. The project will use high-resolution metering data from a local wastewater treatment facility and will be implemented in Python with the IDAES/pyomo libraries.
The ideal candidate will have a CS and/or data-science or engineering background and be highly proficiency in python.
Simona Onori, Energy Resources Engineering
The student will be involved in research activities with the member of the Stanford Energy Control Lab focusing on lithium-ion battery experiments, modeling and control where she/he will help design model-based fault diagnostic methods to isolate aging-dependent faults in lithium-ion battery packs. Model-order reduction methods will be used to develop a control-oriented model of the battery pack.
The ideal candidate should have experience in Matlab.
Juan Rivas-Davila, Electrical Engineering
William Tarpeh, Chemical Engineering
Electrochemical Sulfate Recovery
The main goal of the project is to develop an electrochemical process to recover sulfide as sulfate (sulfuric acid, ammonium sulfate) from wastewater streams. Achieving this goal can reduce the energy required for water treatment and manufacturing of sulfur products, including sulfuric acid and sulfur battery precursors. Previously, thiosulfate oxidation has been identified as the rate-limiting step under both direct (i.e., at the anode surface) and indirect (i.e., OER-assisted) oxidation from single-component sulfur oxidation experiments, and elemental sulfur deposition on the electrode has been confirmed as the major barrier for mass transfer. Therefore, we have employed these mechanistic insights to design and fabricate a dual-oxidation chamber reactor to achieve sulfide removal and sulfate recovery simultaneously on two sides of one electrode under two operational conditions (i.e., direct oxidation for removal, and indirect oxidation for recovery) enabled by tuning the potential loss across the anode.
Hamdi Tchelepi, Energy Resources Engineering
2021 Projects
Nicole Ardoin, Education
Issues such as climate change and the COVID-19 pandemic emphasize the complexity and interconnectedness of society, particularly the ways in which collective action is required for effective solutions to such issues. In this project, we seek to understand how to define, foster, and measure collective environmental literacy in support of community action to address energy-related issues. Currently, we are developing instruments to measure collective environmental literacy and will begin pilot testing measures in early 2021, with data collection and analysis continuing into summer. The project for which we are seeking undergraduate collaborators is the logical next step for this work. Working as part of research team, the student will identify a community of interest involved in an energy-related issue (e.g., an organization working to increase energy efficiency, a community exploring alternative energy sources). The student will administer a survey instrument and conduct interviews to measure and explore collective environmental literacy as it relates to energy and energy use. Analysis of the data will help determine the efficacy of the measures and help pinpoint how communities build collective competencies and take collective actions to address energy issues.
Sally Benson, Energy Resources Engineering
California leads the nation and much of the world in policies to mitigate climate change. We are doing a study to assess how to get California to net-zero by 2045. We are looking at the different large emitting sectors (industry, transportation, electricity, buildings) and looking at what technologies can be utilized and at what cost. We are also looking at the role of decarbonized fuels (hydrogen and biofuels) and working lands in achieving carbon neutrality. We are looking for a student that can work with the current graduate student team as we progress work on this project. The work will be highly collaborative (all virtual) and data driven. Depending on the student selected we may pair them with the individuals working in any of the areas listed above.
David Fedor, Hoover Institution
Energy and climate policy writing projects
Wendy Gu, Mechanical Engineering
Hydrogen is a promising candidate for zero greenhouse-gas emission vehicles and is uniquely positioned to decarbonize heat in existing gas-based infrastructures. However, successful implementation of a hydrogen economy requires the transmission of hydrogen from reforming plants to consumers. The most cost-effective method for transporting hydrogen utilizes existing transmission pipelines. These pipelines, often made from low-carbon steels, are susceptible to a phenomenon known as hydrogen embrittlement. Hydrogen embrittlement is the premature and unpredictable failure of structural materials that have been exposed to hydrogen rich environments. It is a pervasive and detrimental problem to the safe and timely conversion to hydrogen.
Despite over 100 years of research, the precise mechanisms of hydrogen embrittlement are still unclear. This in-person research project aims to elucidate hydrogen embrittlement mechanisms in structural steels through mesoscale and nanoscale mechanical characterization techniques. Primarily, in-situ nanoindentation techniques will be coupled with strain mapping and microstructural characterization to craft a wholistic understanding of embrittlement mechanisms. This project has a strong emphasis on technique development and identifying qualitative trends of material behavior in hydrogen environments.
Jon Krosnick, Communication and Political Science
For 25 years, the Political Psychology Research Group at Stanford has been studying American public opinion on climate change, with a special interest in the economic side of policy-making. Details are at climatepublicopinion.stanford.edu. In a new survey conducted in 2020 (and covered in more than 100 news media outlets worldwide), we asked a wide array of new questions tapping Americans' preferences regarding emissions-reduction policies of various types. Our project will involve analysis of those survey data to yield peer review publications.
Simona Onori, Energy Resources Engineering
Modeling Lithium Ion batteries for grid storage
Ram Rajagopal, Civil and Environmental Engineering
Over Spring and Summer, 2021 our Sustainable Systems lab aims to improve energy data thinking through the development of a suite of tools (a course, Tableau plug-ins/extensions and database) designed to facilitate remote learning about energy data analytics for middle and high school youth. Built on data science results from Stanford’s Energy Visualization and Insight System for Demand Operations and Management (VISDOM), we have already designed a 6-module remote learning course based on current theory of best pedagogical practice to support family behavior change around home energy usage.
The first project is related to pilot deployment of an online energy saving program titled “Designing Your Energy Lifestyle: Data Thinking – Data Visualization.” During the program youth learn to visualize their own smart meter data according to key energy concepts using the visualization software, Tableau, build, implement, and evaluate a change plan, and to present their portfolio of work to a jury of “energy experts,” data scientists, and educators.
The SUPER student will work with our team on the theoretical, methodological, and statistical aspects of energy reduction programs. Depending on the stage of current planned pilot deployments, the SUPER student will be involved in actual program delivery, deployment of an IRB approved research project with youth and their families, collection and/or analysis of qualitative interview data, analysis of interim evaluation of student materials, and survey data collected to evaluate the program. Finally, we aim to collect one year of smart meter electricity data to evaluate impact. SUPER student learning and work will be supported by relevant research readings, team discussions of recent research as well as current deployment and data collection, and individual weekly meetings with project director – Dr. June Flora. This program is available for a Spring and/or a Summer SUPER fellowship student.
In the second project, the SUPER student will work with other computer science and engineering students, graduate students, and faculty at Stanford and at Oregon State University to further develop Tableau’s ability to visualize time series data - electricity data. These plug-ins/extensions will include statistics and algorithms specific to the analysis of smart-metered household electricity data and based on energy data analytics tools developed as part of the VISDOM platform and the remote learning course. Specifically, these plug-ins/extensions will allow users to more easily: (1) clean, process and ingest smart-metered energy data into Tableau; (2) incorporate weather and activity data into their analyses; (3) produce basic summaries and analyses of their electricity usage; (4) calculate household carbon emissions based on their electricity usage; (4) keep track of their work in Tableau; (5) export visualizations to PowerPoint, pdf, or other external reports; and (6) calculate impacts of new rate polices and build longer-term forecasts. The SUPER student should have some skill in Python and/or JavaScript, the iterative process of building tools that will work with existing infrastructure, and an interest in learning more about data science and data visualization scholarship and research. We also would expect the SUPER student to have an interest in learning about hourly energy data science and visualization.
Stefan Reichelstein, Graduate School of Business
This project tries to model the integration of renewable energy and storage -- both battery and hydrogen storage -- so as to ensure economical and stable grid operations. This project has both modeling and computational challenges.
Mark Zoback, Geophysics
Stanford has launched a comprehensive assessment of the technical and business potential for zero-carbon Hydrogen generation from natural gas with carbon capture and onsite geologic storage in California. We are looking for a student that is interested in helping us to scope and highgrade potential CO2 storage sites in the state. This will involve reviewing USGS data, public well log data, published papers, state geological survey data, and other public databases. We will look for data that will help us to better understand the following reservoir characteristics of the depleted gas fields and saline reservoirs:
- Compartmentalization, closure type, and trapping mechanism
- Reservoir properties including permeability, porosity, in situ pressure
- Top/bottom seal properties including capillary entry pressure, vertical permeability, clay content and fracturing
- Nature and magnitude of any faults and fractures
- Reservoir depletion history and status/condition of existing wells
Once this data is assembled, we will score and high-grade these potential sites in order to narrow down the opportunities. Project will be collaborative with significant interaction with other students and researchers.
2020 projects included:
- Collective Environmental Literacy
- Developing a low-cost, energy-efficient greenhouse in India for alternately growing and drying chilis
- Looking for Methane Leaks
- Converting Methane to Methanol
- Examining the current and projected future energy demand among all energy sectors for dozens of cities worldwide
- Valuing America’s Natural Resources Using the Contingent Valuation Methodology
- Modeling the integration of renewable energy and storage
- Apply advanced diagnostics and uncertainty methods to popular integrated assessment models
2019 projects included:
- Driving into a Clean Energy Future with Electric Buses
- Developing a Low-Cost Greenhouse for Emerging Economies
- Developing Data-Driven Models for the Thermal Dynamics of Livestock Barns in California Dairy Farms
- Understanding Pro-Environmental Behavior Preferences
2018 projects included:
- Examining Digestibility of Phosphoethanolamine Cellulose for Cellulosic Ethanol
- Low Cost, Clean Energy Produce Dryer for Use in Rural Indian Farming Communities
- Synthesis of Colloidal Silver Nanoparticles and Their Catalytic Potential in the Conversion of Propylene to Propylene Oxide
- Designing the Know Your Energy Numbers Program
- Watching the Flag: Training a Neural Network to Predict Wind Speeds
- Global Warming Survey Methodology
- Unlocking Google’s Street-level Visual Data
- Detecting Natural Gas Leaks in Bay Area Homes and Quantifying Leakage From Natural Gas Water Heaters
- Fabricating Stretchable Batteries Using Ion-Conducting Elastomers (ICE)
- Limiting Voltage Violations in an Electrical Network with Distributed Energy Resources