Stanford Root

Schedule

Stanford Root

Schedule

EARTHSYS 176M

Spatial Planning for Gigascale Renewables & Transmission (CEE 176M, CEE 276M, EARTHSYS 276M)

UNITS:3
GRADING:Letter (ABCD/NP)
LEVEL:Undergrad
GER:—

Even where policy leaders are striving to center equity in rapid energy transitions, the pathways to clean energy economies are often described by techno-economic models that have limited ability to assess the distributional implications of different scenarios. This course focuses on methods to translate high-level, spatially coarse research findings into actionable policy and technology investment decisions at the local scale. Through lab exercises to develop GIS skills, participants will collaborate with a public service partner to select a study area, identify a spatial dataset representing renewable energy candidate project areas, use site suitability analysis, perform statistical summaries of the dataset, and visualize portfolios of future renewable energy resources that could inform stakeholder engagement on decarbonization pathways that center equity. Pre-requisite: Instructor permission: see syllabus on syllabus.stanford.edu/ This is a Cardinal Course certified by the Haas Center for Public Service.

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Practicum 1Open
ID: 24710
0 / 36 enrolled
DAYS:Tuesday, Thursday
TIME:9 AM – 10:20 AM
LOCATION:Not Applicable
INSTRUCTOR:
Hummel, Holmes, Leslie, Emily, Moanga, Diana
3units

EARTHSYS 176M: Spatial Planning for Gigascale Renewables & Transmission (CEE 176M, CEE 276M, EARTHSYS 276M)

3 units · Letter (ABCD/NP)

Even where policy leaders are striving to center equity in rapid energy transitions, the pathways to clean energy economies are often described by techno-economic models that have limited ability to assess the distributional implications of different scenarios. This course focuses on methods to translate high-level, spatially coarse research findings into actionable policy and technology investment decisions at the local scale. Through lab exercises to develop GIS skills, participants will collaborate with a public service partner to select a study area, identify a spatial dataset representing renewable energy candidate project areas, use site suitability analysis, perform statistical summaries of the dataset, and visualize portfolios of future renewable energy resources that could inform stakeholder engagement on decarbonization pathways that center equity. Pre-requisite: Instructor permission: see syllabus on syllabus.stanford.edu/ This is a Cardinal Course certified by the Haas Center for Public Service.

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Practicum — Tuesday Thursday 9:00 AM – 10:20 AM — Hummel, Holmes, Leslie, Emily, Moanga, Diana (Undergrad)

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