Project: Using Machine Learning for Calculating Construction Emissions
Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.
For Ultra Low-Temperature Freezers
Are you buying a new ultra-low temperature freezer? Rebates are available for choosing energy-efficient models, whether you are replacing an old freezer or purchasing new equipment. All eligible freezer models use refrigerants with relatively low potential for emissions.
Rebates are only for labs located on Stanford University’s main campus. Please complete and submit the application below by August 15th to receive a rebate for the current fiscal year (September 1 to August 31). Funds are limited and rebates are allocated on a first come, first served basis for each fiscal year. If this form is open, then funding is still available for the year. Email the Lab Rebate Team for any questions.
Rebate Application for Ultra Low-Temperature (ULT) Freezers
Application for Ultra Low-Temperature (ULT) Freezer Rebate, for both new and replacement
Application Rebate Form for Ice Machines – Coming Soon!
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Danica Sun ’28 explored smarter resource use for one of Stanford’s major computing clusters.
Decarbonizing Process Steam
Rachel Porter, PhD candidate, investigated alternatives for reducing reliance on Stanford’s natural gas-fired steam plant.