Climate Clinic – Clinic Program /clinic Tue, 09 Dec 2025 17:43:29 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 AI’s Environmental Equation: Balancing Innovation with Sustainability /clinic/2025/ais-environmental-equation-balancing-innovation-with-sustainability/ Thu, 22 May 2025 22:48:21 +0000 /clinic/2025/ais-environmental-equation-balancing-innovation-with-sustainability/ Union of Concerned Scientists (UCS) Climate/Computer Science/ Mathematics, 2024–25

Liaison(s): Jose Pablo Ortiz-Partida
Advisor(s): Lynn Kirabo
Students(s): Taylor Backer (TL-F), Lucie Batista (TL-S), Sarah An, Emilynne Newsom, Trevor Shepherd

Aligned with the mission of the Union of Concerned Scientists—a nonprofit that puts independent science into action and advocates for a healthy, safe, and just future—this project calls for an examination of water and energy usage patterns in artificial intelligence (AI) systems through a comprehensive literature review of data center operations. The research analyzes current reporting practices regarding AI’s environmental impact and evaluates resource consumption projections. As a complement to the literature review, the Clinic team developed an interactive informational website that defines key metrics and provides context around AI infrastructure’s environmental footprint.
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Redesign of Low-cost Sensors Used in Community-engaged Air Pollution Monitoring /clinic/2025/redesign-of-low-cost-sensors-used-in-community-engaged-air-pollution-monitoring/ Thu, 22 May 2025 22:48:21 +0000 /clinic/2025/redesign-of-low-cost-sensors-used-in-community-engaged-air-pollution-monitoring/ UC Berkeley Climate/Engineering, 2024–25

Liaison(s): Chelsea Preble, Thomas Kirchstetter
Advisor(s): Yifan Wu
Students(s): Zhian Zhou (TL-S), Carmen Horenstein (TL-F), Thomas Lilygren (S), Matthew Molinar (S), and Madeleine Kan (S), Megan Kho (F), Julia Manese (F), Kanoa Parker (F)

A lab at UC Berkeley has conducted a study to spatiotemporally analyze the air quality in West Oakland using a fleet of 100 black carbon sensors. The HMC UC Berkeley Clinic team designed a solution to upgrade the data communication and integrate automated localization for this fleet of sensors to be used in an upcoming study to analyze the air quality of three California cities: Richmond, Stockton and Fresno.
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Virtual Concentration Sensor for Energy-saving Liquid Desiccant HVAC System /clinic/2025/virtual-concentration-sensor-for-energy-saving-liquid-desiccant-hvac-system/ Thu, 22 May 2025 22:48:21 +0000 /clinic/2025/virtual-concentration-sensor-for-energy-saving-liquid-desiccant-hvac-system/ Blue Frontier Climate/Computer Science/ Mathematics, 2024–25

Liaison(s): Nikhil Deshmukh, Matt Tilghman
Advisor(s): Michael Orrison
Students(s): Adia Ainsworth, Carmel Pe’er (TL), Nevaeh Thompson, Henry Trinh, Alejandro Wang

Approximately 15% of global energy consumption is used to heat and cool buildings. Blue Frontier addresses this by developing A/C technology that offers up to 90% reduction in electricity use. By using liquid desiccants, they achieve more efficient cooling and dehumidification than traditional methods. However, this requires expensive sensors, increasing upfront costs. The Clinic team is designing software-based sensors to replace the physical ones. The team is leveraging machine learning algorithms, including random forest and neural networks and physics-based models, to create these sensors, making the technology more cost-effective and scalable.
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Developing a Simulation Framework for International Emissions Reductions /clinic/2025/developing-a-simulation-framework-for-international-emissions-reductions/ Thu, 22 May 2025 22:48:21 +0000 /clinic/2025/developing-a-simulation-framework-for-international-emissions-reductions/ Center for Strategic and International Studies Climate/Computer Science/ Mathematics, 2024–25

Liaison(s): Joseph Majkut ’06
Advisor(s): Kaitlin Tademy
Students(s): Mildred Morales (TL-S), Sarah Lammert (TL-F), Arjun Taneja, Jack Myers, Jerry Li

CSIS is an American think tank that explores “practical ideas to address the world’s greatest challenges,” one of which is climate change. One difficulty is identifying public policy interventions that will both (1) effectively reduce greenhouse gas emissions and (2) be practical to implement in today’s international economic and political environment. The CSIS Clinic team has developed a model simulating the complex and dynamic interactions of international climate policy. This model will be used in tabletop simulations, helping CSIS staff understand political strategies for advancing global climate action.
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Creating a Data Transmission and Visualization Platform for a Low-cost Sensor Used in Community-engaged Air Pollution Monitoring /clinic/2025/creating-a-data-transmission-and-visualization-platform-for-a-low-cost-sensor-used-in-community-engaged-air-pollution-monitoring/ Thu, 22 May 2025 22:48:21 +0000 /clinic/2025/creating-a-data-transmission-and-visualization-platform-for-a-low-cost-sensor-used-in-community-engaged-air-pollution-monitoring/ UC Berkeley Climate/Computer Science/ Mathematics, 2024–25

Liaison(s): Chelsea Preble, Tom Kirchstetter
Advisor(s): Ben Wiedermann
Students(s): Ashley Song (TL-F), Nithya Yeluri (TL-S), Laney Goldman, Cole Lameyer, Subi Lumala, Anjeli Mayoraz

Communities heavily affected by air pollution levels often lack access to costly air quality monitoring. Berkeley is developing a network of low-cost aerosol black carbon detectors (ABCDs) to measure locally emitted pollution levels. The Clinic team built a website that stores and reports ABCD data through an interactive map, enabling the Berkeley team to conduct their community-engaged research effectively. (Note: This project was jointly completed with an engineering project that adapted the ABCDs to send data over modern networks).
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Understanding Hydropower’s Role in the Clean Energy Transition: Quantifying the Operations and Maintenance (O&M) Cost of Flexibility /clinic/2024/understanding-hydropowers-role-in-the-clean-energy-transition-quantifying-the-operations-and-maintenance-om-cost-of-flexibility/ Tue, 04 Jun 2024 16:40:18 +0000 /clinic/?p=14053 Idaho National Laboratory Engineering/Climate, 2023–24

Liaison(s): Hill Balliet ’18
Advisor(s): TJ Tsai
Students(s): Leah McGregor (TL-S), Henry Lee (TL-F), Melissa Bruno (F), Claire Rafferty (F), Thomas Lilygreen (S), Ka’imi Duncklee (S)

The Idaho National Laboratory Clinic team is analyzing large operational and event datasets to develop a method for estimating the operations and maintenance (O&M) costs associated with flexible operation of hydroelectric power plants. The team is also designing a control system exploring the feasibility of using industrial-scale Li-ion battery storage to minimize O&M costs. Understanding these costs will help operators make decisions on how their plants can support a clean energy future.

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Pulsed Power Transmission Lines /clinic/2024/pulsed-power-transmission-lines/ Tue, 04 Jun 2024 16:40:18 +0000 /clinic/?p=14051 Helion Energy Engineering/Climate, 2023–24

Liaison(s): Chris Cotner ’13
Advisor(s): Ethan Ritz ’12
Students(s): Martin Susanto (TL-S), Xander Fries (TL-F), Tristan Huang, Alina Scholz (S), Max De Somma (F)

Helion aims to construct the world’s first commercial nuclear fusion power plant, capable of producing clean, low-cost energy through a process called magneto-inertial confinement. In order to produce the necessary magnetic field strength for this process, Helion must drive powerful electromagnets with short, high-current pulses. The Helion Clinic team is tasked with designing and manufacturing a transmission line prototype that can transmit large amounts of power to the electromagnets with minimal losses while maintaining a small physical footprint.

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Feasibility of Sodium Ion Battery Stationary Storage /clinic/2024/feasibility-of-sodium-ion-battery-stationary-storage/ Tue, 04 Jun 2024 16:40:18 +0000 /clinic/?p=14049 GM Energy Engineering/Climate, 2023–24

Liaison(s): Tony Nausieda ’00, Jim Reilly, Samantha Rosenbaum
Advisor(s): Philip Cha
Students(s): Cheyenne Foo (TL-S), Sydney Riley (TL-F), Kaito Robson (S), Marcos Ng Carrion, Evan Bourke, Gabriel Klinger

GM Energy is focused on expanding and accelerating a holistic energy ecosystem through new products, software and services. To further this goal and consider more sustainable solutions, the GM Energy Clinic team is investigating a cost-optimized sodium-ion battery energy storage system (BESS) at a module level. The team is also performing market research on the future feasibility of sodium-ion batteries.

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Equitable Federal Investments in California’s Climate Resilience /clinic/2024/equitable-federal-investments-in-californias-climate-resilience/ Tue, 04 Jun 2024 16:40:17 +0000 /clinic/?p=14078 Union of Concerned Scientists (UCS) Mathematics/Climate, 2023–24

Liaison(s): Amanda Fencl, Jenny Rempel
Advisor(s): Jamie Haddock
Students(s): Georgia Klein (TL-S), Mo Kyn, Ryder Mitchell, Allyson Yao (TL-F)

The Union of Concerned Scientists puts independent science into action and advocacy for a healthy, safe and just future. This project supports the UCS Western States program’s efforts to advance equity in federal infrastructure investments in California. The Biden Administration’s Justice40 initiative aims for 40% of certain investments to benefit disadvantaged communities. Our team analyzed two years of Bipartisan
Infrastructure Law investments against this goal and built a website with an interactive dashboard to hold government accountable to Justice40 outcomes.

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Investigating a Landfill Gas-to-Renewable Natural Gas Plant /clinic/2024/investigating-a-landfill-gas-to-renewable-natural-gas-plant/ Tue, 04 Jun 2024 16:40:17 +0000 /clinic/?p=14058 LS Power Engineering/Climate, 2023–24

Liaison(s): Kathy French ’97, Jessica Haller
Advisor(s): Mark Gale
Students(s): Viviane Solomon (TL-S), Nilay Pangrekar (TL-F), Zoë Gomez-So, Tia Tounesi (S), Kopchon Sittithammachoti (F)

LS Power is a company focused on power generation, electric transmission and energy infrastructure. The LS Power Clinic team is investigating a plant that captures and refines landfill gas into renewable natural gas. The team aims to improve plant efficiency via deliverables, such as a report on methane loss locations and volumes, a framework to model adsorption beds’ lifetimes, landfill wellhead data analysis and a sensor installation plan to improve data collection.

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