Daniel Kammen, Professor

Closed (1) Decarbonizing Buildings

Closed. This professor is continuing with Spring 2021 apprentices on this project; no new apprentices needed for Fall 2021.

California has committed to fully eliminate carbon pollution from electricity by the year 2045, by passing landmark state bill SB100. Alongside, several bills have been passed to move towards deep emissions reduction in all sectors, including buildings and transport. Decarbonizing existing buildings (around 13 million residential homes along with large segment of commercial buildings combust natural gas for water and space heating) is expensive and difficult to mandate. Today high efficiency electric heat pumps exist that can leverage steadily ‘greening’ electricity to decarbonize the building sector. However, there are several potential challenges in switching from fossil fuel to ‘clean electricity’ such as (i) high up front cost, (ii) the impact on the grid due to the increased electricity demand. In this study, we want to address some of the questions with a detailed modeling effort.

You will work on all aspects of the project: data collection; building comparison; and model building to forecast performance in California's different climate zones.

Day-to-day supervisor for this project: Dr. Shuba Raghavan

Qualifications: We are looking for students with proficiency in python and an interest in economics of clean technologies.

Weekly Hours: to be negotiated

Related website: http://rael.berkeley.edu

Closed (2) Project: Space-based solar power

Closed. This professor is continuing with Spring 2021 apprentices on this project; no new apprentices needed for Fall 2021.

The technological basis for launching and operating orbiting solar generating plants is rapidly improving due to decreases in the cost of rocket launches ($/kg of payload), and improvements in durable thin-film solar and microwave beaming technology.

The project is to build data-sets to inform a series of projections we will make and cost-curves for space based solar (where the solar radiation is highest, 1370 W/square meter), and it is always available.

Day-to-day supervisor for this project: Chris Jones, Director of CoolClimate Network, Staff Researcher

Qualifications: Students should have a proficiency in python or R. A journal publication is the expected result.

Weekly Hours: to be negotiated

Related website: https://rael.berkeley.edu
Related website: https://www.energy.gov/articles/space-based-solar-power

Closed (3) EcoDataLab Data Science Internship

Applications for fall 2021 are now closed for this project.

The purpose of this project is to synthesize existing U.S. datasets on climate change, greenhouse gas (GHG) emissions, GHG drivers, household carbon footprints, climate action planning, climate impacts, adaptation, pollution, environmental justice, and individual organizational behavior into a single, data-driven climate action portal called EcoDataLab for U.S. cities and communities.

As a member of the Analysis Team, the student will use multiple computational methods in R and/or Python to create data visualizations for the online portal. Students will work in teams of 3-5 students to collect, clean, analyze and visually display data in interactive visualizations. Data will typically be for multiple years and spatial resolutions, e.g., Census tracts, zip codes, cities and counties for multiple years. We will incorporate data using APIs to the extent possible in order to increase efficiency and minimize storage and bandwidth limitations. Econometric analysis will be used by advanced students to develop models of energy, transportation and household consumption.

Alternatively, as a member of the Carbon Coders team, the student will contribute to the development of either the EcoDataLab React application (in development) or the CoolClimate Calculator (https://coolclimate.org.calculator). Useful programming languages include Javascript, React JS, HTML/CSS, Git, and API integration, especially Google APIs.

Other projects are possible based on student interests. , Staff Researcher

Qualifications: We are looking for highly motivated and passionate students with knowledge of R, Python, Javascript, econometrics, spatial statistics, visualization approaches, and/or other relevant data science skills. Collaboration with other team members will be key to successful completion of projects.

Weekly Hours: 6-8 hrs

Off-Campus Research Site: Sutardja Dai Hall

Related website: http://coolclimate.berkeley.edu/

Closed (4) Sustainable Energy and Localized Futures (SELF) - regional energy resource capacity assessment (distributed generation, micro-grids, integration and equity)

Closed. This professor is continuing with Spring 2021 apprentices on this project; no new apprentices needed for Fall 2021.

This project focuses on assessment of energy system resources, GHG balances and design of regional opportunities for expansion of distributed generation and micro grids in urban-agriculture interface zones across regions in California and regions with similar geo-physical resources and socio-economic features. The project will use Geographic Information Systems (GIS) and energy system models to assess existing infrastructure, housing demand, techno-economic and transport analysis, access to services and subsequent environmental impacts. Through analysis of remotely sensed images and user interface the project team will develop an analysis that isolates specific dense urban areas with both high potential for retrofits and energy system synergies while meeting the needs of disadvantaged communities. Students will support the development of data acquisition, analysis, and visualization for these tools and engage with local communities and community-based organizations and academic partners in survey implementation. Regions: Diverse

Qualifications: We are looking for highly motivated students with knowledge of GIS, R, Python, spatial statistics, visualization approaches, and/or other relevant energy modeling skills.

Weekly Hours: to be negotiated