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Explore Energy is an effort of the Precourt Institute for Energy, which is part of the Doerr School of Sustainability.

Research Projects

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2023 projects included:

  • Designing a Fixture for Precise, Local Electrochemistry on Strained Thin-Film Membranes
  • A GIS-based Multicriteria Decision Analysis Tool for Siting Utility-Scale Solar in the Navajo Nation
  • Energy Security in China and Taiwan
  • Using Pressure to Design Better Materials for Energy Applications
  • State estimation techniques of plasma chemistry for semiconductor manufacturing
  • Mitigation of Climate Change Driven Evaporation and Water Temperature Responses Using Aluminum Reflectors
  • Creating Data Stories for a Sustainable Future: From Personal to Global
  • Effect of Optical and Thermal Properties of Heterolayer Stacks on the Performance of Flash-Annealed Ferroelectric Memories for Energy-Efficient Computing
  • Screening for Geological Storage Sites for CCS
  • Public Opinion on Climate Change

2022 projects included:

2021 projects included:

  • Understanding the ecosystem of U.S. public opinion polls that have questions related to global warming/climate change
  • Build out an energy usage program for high school students to better understand how students interact with data science techniques and implement an energy change program
  • Pathways to Carbon Neutrality project looking at ways to effectively achieve net-zero carbon emissions in California
  • Investigating collecting environmental literacy
  • Developing roadmaps to 100% renewable energy profiles for 140 countries worldwide
  • Case study of nations that have implemented carbon tax policies and analyze the effects of those policies
  • Understand the mechanisms of hydrogen embrittlement in structural steel in order to aid the transformation of existing gas infrastructure to hydrogen-compatible systems
  • Creating an online youth education program that teaches middle school-aged students how to visualize and interpret their household energy consumption data and drive behavior change to decrease electricity usage

2020 projects included:

  • Analyzing the potential for heat capture from Stanford's own SESI and its cooling system
  • Collective Environmental Literacy
  • Improving drying methods of chili peppers in order to reduce energy required for storage
  • Developing a low-cost, energy-efficient greenhouse in India for alternately growing and drying chilis
  • Quantifying methane emissions from residential natural gas-fired appliances
  • 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
  • Long-term predictions of renewable energy integration in the grid, using the Regional Energy Deployment System (ReEDS) model
  • Uncertainty characterization of high bioenergy deployment scenarios in GCAM, one of the major integrated assessment models
  • Modeling the integration of renewable energy and storage
  • Valuation model for battery electric vehicle batteries for a second-life stationary storage applications
  • ​Apply advanced diagnostics and uncertainty methods to popular integrated assessment models
  • Bringing methane pyrolysis, a low emissions hydrogen production method, from a technical to a market stage
  • Direct conversion of methane to methanol through photocatalysis

2019 projects included:

  • Synthesis, characterization, and catalytic testing of nano-structured materials for hydrogen production through photocatalysis
  • Optimizing the electric grid and adapting it to the rise of electric vehicles and photovoltaic panels
  • Developing polymers as solid electrolytes in lithium-metal batteries
  • Developing organic stretchable batteries for energy storage applications ranging from wearable electronics to implantable devices
  • Probing material conductivity with software defined radio
  • Examining trends in Rural Income Generating Activities (RIGAs) in India post electrification
  • 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
  • Examining consumer energy usage behavior change through youth education
  • Examining bimetallic heterogeneous catalysts for propane combustion
  • Developing an automated quality metric for inductive components used in wireless charging
  • Developing duty cycles for grid-scale applications of lithium-ion batteries

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

2017 projects included:

  • Mobile Game Design for Youth Energy Behavior Change
  • A Post-Mortem Investigation of Degradation Mechanisms in Li-Ion Battery Fast Charging
  • The Role of Emotional Affect in Energy Decision-Making: A Comparison of Neural and Social Networks
  • Feasibility Studies on Direct Use of Coproduced Fluids in the Los Angeles Basin
  • Using Colloidal Bimetallic Synthesis to Improve Platinum-Based Catalysts for Propene Combustion
  • Mapping American Attitudes on Climate Change
  • Metal-Interlayer Contacts for Carrier-Selective Thin-Film Silicon Solar Cells
  • Roadmaps to Convert U.S. Cities to Wind, Water, and Sunlight (WWS) for All Purposes
  • Development of Acid Gas Removal Energy Predictor in OPGEE
  • Ionically Conductive Mixed-Matrix Membranes Synthesized Via In-Situ Polymerization