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.
A staple in almost every biology lab is an Ultra Low Temperature (ULT) freezer that stores samples at -80F. There are hundreds of these freezers around the university, and each one can use up to five times the energy of a standard residential refrigerator.
The Energy Retrofit Program (ERP) program offers rebates for labs to purchase high-efficiency compressor-based or liquid nitrogen freezers as either replacement or new purchases. View the table below to see maximum rebate amounts for different types of freezer models:
Apply for a Rebate
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Sustainable Research Computing
Academics, Carbon, Community Engagement, Construction & Demolition, Efficiency, Emissions, Maintenance
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.