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11 - 20 of 36 results for: ENERGY

ENERGY 193: Undergraduate Research Problems

Original and guided research problems with comprehensive report. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-3 | Repeatable 4 times (up to 12 units total)

ENERGY 201B: Fundamentals of Energy Processes (EE 293B)

Terms: Win | Units: 3

ENERGY 203: Stanford Climate Ventures

Solving the global climate challenge will require the creation and successful scale-up of hundreds of new ventures. This project-based course provides a launchpad for the development and creation of transformational climate ventures and innovation models. Interdisciplinary teams will research, analyze, and develop detailed launch plans for high-impact opportunities in the context of the new climate venture development framework offered in this course. Throughout the quarter, teams will complete 70+ interviews with customers, sector experts, and other partners in the emerging climatetech ecosystem, with introductions facilitated by the teaching team's unique networks in this space. Please see the course website scv.stanford.edu for more information and alumni highlights. Project lead applications are due by December 11 through tinyurl.com/scvprojectlead. Students interested in joining a project team, please briefly indicate your interest in the course at tinyurl.com/scvgeneralinterest. Cardinal Course certified by the Haas Center for Public Service.
Terms: Win, Spr | Units: 1-5 | Repeatable 3 times (up to 18 units total)

ENERGY 204: Sustainable Energy for 9 Billion (ENERGY 104)

This course explores the global transition to a sustainable global energy system. We will formulate and program simple models for future energy system pathways. We will explore the drivers of global energy demand and carbon emissions, as well as the technologies that can help us meet this demand sustainably. We will consider constraints on the large-scale deployment of technology and difficulties of a transition at large scales and over long time periods. Assignments will focus on building models of key aspects of the energy transition, including global, regional and sectoral energy demand and emissions as well as economics of change. Prerequisites: students should be comfortable with calculus and linear algebra (e.g. Math 20, Math 51) and be familiar with computer programming (e.g. CS106A, CS106B). We will use the Python programming language to build our models.
Terms: Win | Units: 3

ENERGY 205: Hydrogen Economy

This is a seminar course on the hydrogen economy as a critical piece of the global energy transformation. This course will introduce the unique characteristics of hydrogen, its potential role in decarbonizing the global energy system, and how it compares to other alternative and complementary solutions. We will cover the main ideas/themes of how hydrogen is made, transported and stored, and used around the world through a series of lectures and guest speakers.
Terms: Win | Units: 1

ENERGY 208: Explore Energy (CEE 108, CEE 208, ENERGY 108)

The Explore Energy seminar series is a weekly residential education experience open to all Stanford students and hosted by the Explore Energy House. Course content features current topics that affect the pace of energy transitions at multiple scales and in multiple sectors. Consistent with Stanford's interest in fostering community and inclusion, this course will facilitate cross-house exchanges with residents in Stanford's academic theme houses that have intersections with energy, catalyzing new connections with common interests. Each quarter will include some sessions that feature Stanford itself as a living laboratory for energy transitions that can be catalyzed by technology, policy, and social systems. Stanford alumni with a range of disciplinary backgrounds will be among the presenters each quarter, supporting exploration of both educational and career development paths. Optional daytime field trips complement this evening seminar series.
Terms: Aut, Win, Spr | Units: 1-2 | Repeatable 3 times (up to 6 units total)

ENERGY 221: Fundamentals of Multiphase Flow (ENERGY 121)

Multiphase flow in porous media. Wettability, capillary pressure, imbibition and drainage, Leverett J-function, transition zone, vertical equilibrium. Relative permeabilities, Darcy's law for multiphase flow, fractional flow equation, effects of gravity, Buckley-Leverett theory, recovery predictions, volumetric linear scaling, JBN and Jones-Rozelle determination of relative permeability. Frontal advance equation, Buckley-Leverett equation as frontal advance solution, tracers in multiphase flow, adsorption, three-phase relative permeabilities.
Terms: Win | Units: 3

ENERGY 225: Theory of Gas Injection Processes for CO2 Sequestration and Enhanced Oil Recovery

This course focuses on what happens when CO2 is injected into the subsurface to prevent its release to to the atmosphere. The mathematical theory describes subsurface flow of mixtures of a number of chemical components that form two phases. Applications of the theory cover many areas: carbon capture and geologic storage of CO2 in deep aquifers or in depleted oil or gas reservoirs, enhanced oil recovery by gas injection, contaminant transport in aquifers, and chromatography. Key topics include: Derivation of conservation equations in any coordinate system, and in dimensionless form; Convection and dispersion (physics of dispersion, CD equation and solution, measurement of dispersion coefficient, scaling of dispersion); Dispersion-free displacements (two phases, with two, three, four and more components, with component transfers between phases); Systems of first order pde's (eigenvalues are velocities at which compositions move, eigenvectors reveal allowable composition variations); Multicontact miscible displacement in enhanced oil recovery processes; Estimates of emission reductions associated with CO2 injection in aquifers and depleted oil and gas reservoirs.
Terms: Win | Units: 3 | Repeatable for credit

ENERGY 240: Data Science for Geoscience (EARTHSYS 140, EARTHSYS 240, EPS 140, EPS 240, ESS 239)

(Formerly GEOLSCI 140 and 240) Overview of some of the most important data science methods (statistics, machine learning & computer vision) relevant for geological sciences, as well as other fields in the Earth Sciences. Areas covered are: extreme value statistics for predicting rare events; compositional data analysis for geochemistry; multivariate analysis for designing data & computer experiments; probabilistic aggregation of evidence for spatial mapping; functional data analysis for multivariate environmental datasets, spatial regression and modeling spatial uncertainty with covariate information (geostatistics). Identification & learning of geo-objects with computer vision. Focus on practicality rather than theory. Matlab exercises on realistic data problems. Change of Department Name: Earth and Planetary Science (Formerly Geologic Sciences).
Terms: Win | Units: 3

ENERGY 253: Carbon Capture and Sequestration (ENERGY 153)

CO2 separation from syngas and flue gas for gasification and combustion processes. Transportation of CO2 in pipelines and sequestration in deep underground geological formations. Pipeline specifications, monitoring, safety engineering, and costs for long distance transport of CO2. Comparison of options for geological sequestration in oil and gas reservoirs, deep unmineable coal beds, and saline aquifers. Life cycle analysis.
Terms: Win | Units: 3-4
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