Results for ENERGY

Energy myths and misconceptions to better equip participants to understand a pathway for global energy transformation. Key concepts developed and employed include energy [kinetic, potential, chemical, thermal, etc.], power, heat, renewables, efficiency, transmission, and life cycle analysis. Throughout this seminar groups of students are challenged with "energy myths" and their task is to deconstruct these myths and convince their classmates in oral presentations that they have indeed done so. Emphasis is on critical and analytical thinking, problem solving and presentation.

This seminar provides an in-depth analysis of the role of California state agencies and Western energy organizations in driving energy policy development, technology innovation, and market structures, in California, the West and internationally. The course covers three areas: 1) roles and responsibilities of key state agencies and Western energy organizations; 2) current and evolving energy and climate policies; and 3) development of the 21st century electricity system in California and the West. The seminar will also provide students a guideline of what to expect in professional working environment.

Energy use in modern society and the consequences of current and future energy use patterns. Case studies illustrate resource estimation, engineering analysis of energy systems, and options for managing carbon emissions. Focus is on energy definitions, use patterns, resource estimation, pollution.

Do you want a much better understanding of renewable power technologies? Did you know that wind and solar are the fastest growing forms of electricity generation? Are you interested in hearing about the most recent, and future, designs for green power? Do you want to understand what limits power extraction from renewable resources and how current designs could be improved? This course dives deep into these and related issues for wind, solar, biomass, geothermal, tidal and wave power technologies. We welcome all student, from non-majors to MBAs and grad students. If you are potentially interested in an energy or environmental related major, this course is particularly useful.

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.

NOTE: This course will be taught in-person on main campus, lectures are recorded and available asynchronously. Energy is the number one contributor to climate change and has significant consequences for our society, political system, economy, and environment. Energy is also a fundamental driver of human development and opportunity. In taking this course, students will not only understand the fundamentals of each energy resource - including significance and potential, conversion processes and technologies, drivers and barriers, policy and regulation, and social, economic, and environmental impacts - students will also be able to put this in the context of the broader energy system. Both depletable and renewable energy resources are covered, including oil, natural gas, coal, nuclear, biomass and biofuel, hydroelectric, wind, solar thermal and photovoltaics (PV), geothermal, and ocean energy, with cross-cutting topics including electricity, storage, climate change and greenhouse gas emissions (GHG), sustainability, green buildings, energy efficiency, transportation, and the developing world. The 4 unit course includes lecture and in-class discussion, readings and videos, homework assignments, one on-campus field trip during lecture time and two off-campus field trips with brief report assignments. Off-campus field trips to wind farms, solar farms, nuclear power plants, natural gas power plants, hydroelectric dams, etc. Enroll for 5 units to also attend the Workshop, an interactive discussion section on cross-cutting topics that meets once per week for 80 minutes (Mondays, 12:30 PM - 1:50 PM). Open to all: pre-majors and majors, with any background! Website: https://understand-energy-course.stanford.edu/ CEE 107S/207S Understand Energy: Essentials is a shorter (3 unit) version of this course, offered summer quarter. Students should not take both for credit. Prerequisites: Algebra.

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.

Engineering topics in mass and energy transport in porous media relevant to energy systems. Mass, momentum and energy conservation equations in porous structures. Single phase and multiphase flow through porous media. Gas laws. Introduction to thermodynamics. Chemical, physical, and thermodynamic properties of liquids and gases in the subsurface.

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.

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.

On-the-job practical training under the guidance of on-site supervisors. Required report detailing work activities, problems, assignments and key results. Prerequisite: written consent of instructor.

This course provides a brief survey of mathematical methods for uncertainty quantification. It highlights various issues, techniques and practical tools available for modeling uncertainty in quantitative models of complex dynamic systems. Specific topics include basic concepts in probability and statistics, spatial statistics (geostatistics and machine learning), Monte Carlo simulations, global and local sensitivity analyses, surrogate models, and computational alternatives to Monte Carlo simulations (e.g., quasi-MC, moment equations, the method of distributions, polynomial chaos expansions). Prerequisites: algebra (CME 104 or equivalent), introductory statistics course (CME 106 or equivalent).

Engineering appraisal and economic valuation of energy assets and projects. Course examples span a range of energy assets including oil/gas and renewable energy projects. Course covers methods of estimating productive capacity, reserves, operating costs, depletion and depreciation, value of future profits, taxation, fair market value, and discounted cash flow valuation (DCF) method. Original or guided research problems on economic topics with report. Prerequisite: consent of instructor.

The current electric system was built with a focus on large, continuous-duty baseload power generators fueled primarily by coal and nuclear generation. The electric grid was designed to meet local needs rather than regional or national ones, leading to a shortage of transmission capacity for integrating renewable energy sources like wind and solar. This shortage has created a backlog of interconnection applications for utility-scale wind, solar, and energy storage projects to reach wholesale power markets. The problem is compounded by the fact that transmission permitting is largely a state issue, with each state prioritizing its own interests. As a result, renewable developers face high network upgrade costs to connect wind, solar, and storage to the transmission system, creating a chicken-egg cycle that impedes the clean energy transition. This course aims to provide a comprehensive understanding of electric grid planning, focusing on the integration of emerging generation technologies, including solar, wind, geothermal, and energy storage. The course covers a range of key issues related to electric grid planning, including policy, economics, environmental impacts, and the latest tools and techniques for electric grid planning. Students will learn how to evaluate and analyze the economic principles of electricity systems, conduct a cost-benefit analysis of emerging generation technologies, and identify financing options for these technologies. The course uses the project-based learning approach. Students will work on three different real-world problems: the US, Germany, and a local context. This hands-on approach will allow students to gain practical experience in designing and implementing electricity systems that integrate emerging-generation technologies. By the end of the course, students will have a deep understanding of the challenges and opportunities presented by the integration of emerging generations into the electric grid and will be equipped with the skills and knowledge needed to design and implement effective solutions. Open-source tools (written in Python) and datasets for the course projects will be provided. Prerequisites: Students should be familiar with basic energy systems and are encouraged to take the ENERGY 101, 102, and "Understand Energy" course (CEE 107A/207A - ENERGY 107A/207A - EARTHSYS103) first; or permission of instructor.

The first of a two-quarter, project-based course sequence that address cultural, sociopolitical, organizational, technical, and ethical issues at the heart of implementing sustainable engineering projects in a developing world. Students work in interdisciplinary project teams to tackle real-world design challenges in partnership with social entrepreneurs, local communities, and/or NGOs. While students must have the skills and aptitude necessary to make meaningful contributions to technical product designs, the course is open to all backgrounds and majors. The first quarter focuses on cultural awareness, ethical implications, user requirements, conceptual design, feasibility analysis, and implementation planning. Admission is by application. Students should plan to enroll in ENERGY 177B/277B Engineering & Sustainable Development: Implementation following successful completion of this course. Designated a Cardinal Course by the Haas Center for Public Service. To satisfy a Ways requirement, students must register for an undergraduate course number (ENERGY 177A) and this course must be taken for at least 3 units.

The second of a two-quarter, project-based course sequence that address cultural, political, organizational, technical and business issues at the heart of implementing sustainable engineering projects in the developing world. Students work in interdisciplinary project teams to tackle real-world design challenges in partnership with social entrepreneurs and/or NGOs. This quarter focuses on implementation, evaluation, and deployment of the designs developed in the winter quarter. Designated a Cardinal Course by the Haas Center for Public Service.

Introductory mathematical programming and optimization using examples from energy industries. Emphasis on problem formulation and solving, secondary coverage of algorithms. Problem topics include optimization of energy investment, production, and transportation; uncertain and intermittent energy resources; energy storage; efficient energy production and conversion. Methods include linear and nonlinear optimization, as well as multi-objective and goal programming. Tools include Microsoft Excel and AMPL mathematical programming language. Prerequisites: MATH 20, 41, or MATH 51, or consent of instructor. Programming experience helpful (e.g,, CS 106A, CS 106B).

Leading field trips, preparing lecture notes, quizzes under supervision of the instructor. May be repeated for credit.

Original and guided research problems with comprehensive report. May be repeated for credit.

Individual or group capstone project in Energy Science and Engineering. Emphasis is on report preparation. May be repeated for credit.

In this course we will provide an understanding of current and future energy systems under climate change and sustainability goals; understanding the fundamentals of engineering and energy conversion processes; model global exergy resources; modeling the grid and electricity markets; model environmental life-cycle, costs, and benefits of energy technologies and systems.

For seniors and graduate students. Covers scientific and engineering fundamentals of renewable energy processes involving heat. Thermodynamics, heat engines, solar thermal, geothermal, biomass. Recommended: MATH 19-21; PHYSICS 41, 43, 45

This course will cover operating principles and applications of energy storage and conversation systems. It will cover basic electrochemical and electrical behavior of solar cells, fuel cells, batteries and the state of the art, recent developments and electrical circuit-based modeling tools to analysis, simulate and design such systems. The thermodynamics of batteries and fuel cells will be also discussed. Prerequisites: undergraduate chemistry, knowledge of MATLAB/Python, solutions of ordinary differential equations and exposure to electrical linear circuits.

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.

The purpose of this seminar series is to educate students on the key elements of 8-9 of the highest greenhouse gas emitting sectors globally, and open technical challenges and business opportunities in these problem spaces that are ripe for new climate-tech company explorations. Students are encouraged to take inspiration from the weekly lecture topics to incubate high-potential concepts for new companies, and apply to continue developing these concepts in student-led teams through the winter and spring quarter course, ENERGY 203: Stanford Climate Ventures. Weekly seminars are delivered by course instructors and outside industry and academic experts. Please visit scv.stanford.edu for additional information.

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.

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.

NOTE: This course will be taught in-person on main campus, lectures are recorded and available asynchronously. Energy is the number one contributor to climate change and has significant consequences for our society, political system, economy, and environment. Energy is also a fundamental driver of human development and opportunity. In taking this course, students will not only understand the fundamentals of each energy resource - including significance and potential, conversion processes and technologies, drivers and barriers, policy and regulation, and social, economic, and environmental impacts - students will also be able to put this in the context of the broader energy system. Both depletable and renewable energy resources are covered, including oil, natural gas, coal, nuclear, biomass and biofuel, hydroelectric, wind, solar thermal and photovoltaics (PV), geothermal, and ocean energy, with cross-cutting topics including electricity, storage, climate change and greenhouse gas emissions (GHG), sustainability, green buildings, energy efficiency, transportation, and the developing world. The 4 unit course includes lecture and in-class discussion, readings and videos, homework assignments, one on-campus field trip during lecture time and two off-campus field trips with brief report assignments. Off-campus field trips to wind farms, solar farms, nuclear power plants, natural gas power plants, hydroelectric dams, etc. Enroll for 5 units to also attend the Workshop, an interactive discussion section on cross-cutting topics that meets once per week for 80 minutes (Mondays, 12:30 PM - 1:50 PM). Open to all: pre-majors and majors, with any background! Website: https://understand-energy-course.stanford.edu/ CEE 107S/207S Understand Energy: Essentials is a shorter (3 unit) version of this course, offered summer quarter. Students should not take both for credit. Prerequisites: Algebra.

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.

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.

Lectures, problems. Content relevant for oil/gas reservoirs, carbon storage operations, general subsurface flow systems. Partial differential equations governing subsurface flow, tensor permeabilities, steady-state radial flow, skin, and succession of steady states. Injectivity during fill-up of a depleted reservoir, injectivity for liquid-filled systems. Flow potential and gravity forces. Displacements in layered systems. Transient radial flow equation, primary drainage of a cylindrical reservoir, line source solution, pseudo-steady state. Prerequisite: some knowledge of subsurface flow. ENERGY 221 useful but not essential.

Numerical simulation of subsurface flow. Partial differential equations for multicomponent, multiphase flow relevant to oil/gas, carbon storage, and aquifer modeling. Detailed numerical formulation for two-phase flow systems. Finite-volume discretization, time-stepping, treatment of wells, Newton's method, linear solvers, theoretical and practical considerations. Class project. Prerequisite: CME 200, some knowledge of subsurface flow fundamentals. Knowledge of numerical methods useful but not essential.

Topics include compositional modeling, coupled flow and geomechanics, modeling of fractured systems, treatment of full-tensor permeability and grid nonorthogonality, higher-order methods, streamline simulation, upscaling, multiscale methods, algebraic multigrid solvers, history matching, other selected topics. Prerequisite: 223 or consent of instructor. May be repeated for credit.

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.

(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).

(Former GEOLSCI 248) How the petroleum system concept can be used to more systematically investigate how hydrocarbon fluid becomes an unconventional accumulation in a pod of active source rock and how this fluid moves from this pod to a conventional pool. How to identify, map, and name a petroleum system. The conventional and unconventional accumulation as well as the use of modeling. Change of Department Name: Earth & Planetary Sciences (Formerly Geological Science)

Lectures, problems. The volumetric behavior of fluids at high pressure. Equation of state representation of volumetric behavior. Thermodynamic functions and conditions of equilibrium, Gibbs and Helmholtz energy, chemical potential, fugacity. Phase diagrams for binary and multicomponent systems. Calculation of phase compositions from volumetric behavior for multicomponent mixtures. Experimental techniques for phase-equilibrium measurements. May be repeated for credit.

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.

On-the-job training for master's degree students under the guidance of on-site supervisors. Students submit a report detailing work activities, problems, assignments, and key results. May be repeated for credit. Prerequisite: consent of adviser.

This course provides a brief survey of mathematical methods for uncertainty quantification. It highlights various issues, techniques and practical tools available for modeling uncertainty in quantitative models of complex dynamic systems. Specific topics include basic concepts in probability and statistics, spatial statistics (geostatistics and machine learning), Monte Carlo simulations, global and local sensitivity analyses, surrogate models, and computational alternatives to Monte Carlo simulations (e.g., quasi-MC, moment equations, the method of distributions, polynomial chaos expansions). Prerequisites: algebra (CME 104 or equivalent), introductory statistics course (CME 106 or equivalent).

Engineering appraisal and economic valuation of energy assets and projects. Course examples span a range of energy assets including oil/gas and renewable energy projects. Course covers methods of estimating productive capacity, reserves, operating costs, depletion and depreciation, value of future profits, taxation, fair market value, and discounted cash flow valuation (DCF) method. Original or guided research problems on economic topics with report. Prerequisite: consent of instructor.

Conceptual models of heat and mass flows within geothermal reservoirs. The fundamentals of fluid/heat flow in porous media; convective/conductive regimes, dispersion of solutes, reactions in porous media, stability of fluid interfaces, liquid and vapor flows. Interpretation of geochemical, geological, and well data to determine reservoir properties/characteristics. Geothermal plants and the integrated geothermal system.

The electricity grid is undergoing a dramatic transformation due to the urgency to decarbonize, improve resilience against climate-induced extreme weather events, and provide affordable reliable access to at-risk communities.This fast-paced course aims to build a systematic understanding of the future electric power grid. Students will learn how to model, simulate, and optimize grid components, with an emphasis on new technologies such as storage, clean energy sources, and electric vehicles. The course is organized in five sections: loads, distribution, transmission, storage, and generation, and within these modules, students will explore the roles of a variety of grid ecosystem participants (e.g. system operators, utilities, aggregators, technology vendors, and consumers). Students will be exposed to grid modeling, optimization, data science, and economics at an introductory level that allows them to perform basic assessments and develop proof of concept ideas in Python. After this course, much of the current literature and technology developments in the electric grid should be readily accessible for those interested in furthering their learning.

Special Topics in Energy Science and Engineering

The current electric system was built with a focus on large, continuous-duty baseload power generators fueled primarily by coal and nuclear generation. The electric grid was designed to meet local needs rather than regional or national ones, leading to a shortage of transmission capacity for integrating renewable energy sources like wind and solar. This shortage has created a backlog of interconnection applications for utility-scale wind, solar, and energy storage projects to reach wholesale power markets. The problem is compounded by the fact that transmission permitting is largely a state issue, with each state prioritizing its own interests. As a result, renewable developers face high network upgrade costs to connect wind, solar, and storage to the transmission system, creating a chicken-egg cycle that impedes the clean energy transition. This course aims to provide a comprehensive understanding of electric grid planning, focusing on the integration of emerging generation technologies, including solar, wind, geothermal, and energy storage. The course covers a range of key issues related to electric grid planning, including policy, economics, environmental impacts, and the latest tools and techniques for electric grid planning. Students will learn how to evaluate and analyze the economic principles of electricity systems, conduct a cost-benefit analysis of emerging generation technologies, and identify financing options for these technologies. The course uses the project-based learning approach. Students will work on three different real-world problems: the US, Germany, and a local context. This hands-on approach will allow students to gain practical experience in designing and implementing electricity systems that integrate emerging-generation technologies. By the end of the course, students will have a deep understanding of the challenges and opportunities presented by the integration of emerging generations into the electric grid and will be equipped with the skills and knowledge needed to design and implement effective solutions. Open-source tools (written in Python) and datasets for the course projects will be provided. Prerequisites: Students should be familiar with basic energy systems and are encouraged to take the ENERGY 101, 102, and "Understand Energy" course (CEE 107A/207A - ENERGY 107A/207A - EARTHSYS103) first; or permission of instructor.

The first of a two-quarter, project-based course sequence that address cultural, sociopolitical, organizational, technical, and ethical issues at the heart of implementing sustainable engineering projects in a developing world. Students work in interdisciplinary project teams to tackle real-world design challenges in partnership with social entrepreneurs, local communities, and/or NGOs. While students must have the skills and aptitude necessary to make meaningful contributions to technical product designs, the course is open to all backgrounds and majors. The first quarter focuses on cultural awareness, ethical implications, user requirements, conceptual design, feasibility analysis, and implementation planning. Admission is by application. Students should plan to enroll in ENERGY 177B/277B Engineering & Sustainable Development: Implementation following successful completion of this course. Designated a Cardinal Course by the Haas Center for Public Service. To satisfy a Ways requirement, students must register for an undergraduate course number (ENERGY 177A) and this course must be taken for at least 3 units.

The second of a two-quarter, project-based course sequence that address cultural, political, organizational, technical and business issues at the heart of implementing sustainable engineering projects in the developing world. Students work in interdisciplinary project teams to tackle real-world design challenges in partnership with social entrepreneurs and/or NGOs. This quarter focuses on implementation, evaluation, and deployment of the designs developed in the winter quarter. Designated a Cardinal Course by the Haas Center for Public Service.

This course provides a brief survey of mathematical methods and analytical techniques for solving practical sustainability-related problems. Specific topics include the philosophy of the solution of engineering problems and methods of solution of partial differential equations, such as Laplace, Fourier and other integral transforms; Green's functions; method of characteristics; and perturbation methods. Prerequisites: CME 204 or MATH 131, and consent of instructor.

Introductory mathematical programming and optimization using examples from energy industries. Emphasis on problem formulation and solving, secondary coverage of algorithms. Problem topics include optimization of energy investment, production, and transportation; uncertain and intermittent energy resources; energy storage; efficient energy production and conversion. Methods include linear and nonlinear optimization, as well as multi-objective and goal programming. Tools include Microsoft Excel and AMPL mathematical programming language. Prerequisites: MATH 20, 41, or MATH 51, or consent of instructor. Programming experience helpful (e.g,, CS 106A, CS 106B).

Energy systems are multiphysics and multiscale in nature. This course addresses the quantitative understanding of fundamental physical processes that govern fluid flow and mass/heat transfer processes, critical to many energy systems. The course will cover conservation laws describing the dynamics of single phase flows, relevant to energy applications including, but not limited to, laminar flow solutions in pipes and ducts, Stokes flows (relevant to flow in porous media), potential and boundary layer flow theories (relevant to wind energy), heat and mass transport (relevant to geothermal and energy storage systems, reactive transport in the subsurface, CO2 sequestration). Although motivated by specific applications in the energy landscape, the course will be focused on fundamental principles and mathematical techniques to understand the basic physics underlying flow and transport processes.

Independent studies under the direction of a faculty member for which academic credit may properly be allowed.

Interdisciplinary exploration of current energy challenges and opportunities in the context of development, equity and sustainability objectives. Talks are presented by faculty, visitors, and students and include relevant technology, policy, and systems perspectives. More information about the seminar can be found on the website https://energyseminar.stanford.edu/May be repeated for credit.

This is a seminar on carbon dioxide and methane removal, utilization, and sequestration options, and their role in decarbonizing the global energy system. This course will cover topics including the global carbon balance, utilizing atmospheric carbon in engineered solutions, recycling and sequestering fossil-based carbon, and enhancing natural carbon sinks. The multidisciplinary lectures and discussions will cover elements of technology, economics, policy and social acceptance, and will be led by a series of guest lecturers.

Current research topics. Presentations by guest speakers from Stanford and elsewhere. May be repeated for credit.

Current research topics. Presentations by guest speakers from Stanford and elsewhere. May be repeated for credit.

On-the-job training for doctoral students under the guidance of on-site supervisors. Students submit a report on work activities, problems, assignments, and results. May be repeated for credit. Prerequisite: consent of adviser.

For Ph.D. candidates in Energy Resources Engineering. Course and lecture design and preparation; lecturing practice in small groups. Classroom teaching practice in an Energy Resources Engineering course. Teaching to be evaluated by students in the class, as well as by the instructor.

Graduate-level work in experimental, computational, or theoretical research. Special research not included in graduate degree program. May be repeated for credit.

Experimental, computational, or theoretical research. Advanced technical report writing. Limited to 6 units total.

Graduate-level work in experimental, computational, or theoretical research for Engineer students. Advanced technical report writing. Limited to 15 units total, or 9 units total if 6 units of 361 were previously credited.

Graduate-level work in experimental, computational, or theoretical research for Ph.D. students. Advanced technical report writing.

Graduate-level research work not related to report, thesis, or dissertation. May be repeated for credit.

Electrochemistry is playing an increasingly important role in renewable energy. This course aims to cover the fundamentals of electrochemistry, and then build on that knowledge to cover applications of electrochemistry in energy conversion. Topics to be covered include fuel cells, solar water-splitting, CO2 conversion to fuels and chemicals, batteries, redox flow cells, and supercapacitors. Prerequisites: CHEM 31AB or 31 M, CHEM 33, CHEMENG 110A/B, CHEMENG 130A/B, or equivalents. Recommended: CHEM 173.

TGR Project

TGR Dissertation