Model & Strategy

WattTime is a nonprofit offering technology solutions that make it easy for anyone to choose clean energy and achieve emissions reductions without compromising cost, comfort, or function. To date, WattTime has directly reduced carbon dioxide emissions by an estimated 40 million metric tonnes.

 

The Problem
Scientists agree that humanity urgently needs to reduce global greenhouse emissions by at least 4 billion tons per year each year from now through 2030 if the world is to have any hope of preventing catastrophic climate change. And yet, year after year, we have failed to do so. Presumably, because most approaches to reduce emissions at such scale with such unprecedented speed are hard: some require hundreds of billions of dollars in capital or even increased costs; some are politically contentious; some require sacrificing comfort or convenience; and some are simply too slow. To generate momentum on climate change, we must quickly reduce at least the first few billion tons by finding rare solutions without these drawbacks.

 

The Solution
WattTime uses artificial intelligence and extensive emissions and industry data to identify and scale simple, effective environmental solutions. They have identified and are scaling three simple solutions that can collectively reduce global greenhouse emissions by 9 billion tons of CO2 equivalent annually, which is larger than the carbon footprint of the entire United States.
WattTime’s solutions are:
Emissionality: Building solar panels and wind farms in strategic locations can up to triple their impact by helping them replace particularly high-emitting fossil fuel power plants. If fully adopted, this innovation’s impact potential would be 5 billion tons of CO2 per year.
Automated Emissions Reduction: Setting smart devices like smart thermostats, mobile phones, electric vehicles, and batteries to intelligently charge at optimal times instead of random times can reduce 3 billion tons of CO2 per year.
Supply Chain Optimization: Updating procurement practices to fully use the output of the world’s cleanest steel and aluminum factories before turning to higher-emitting factories can save 1 billion tons of CO2 per year. When including other industries, the total potential is likely even larger.

WattTime’s work focuses on identifying and rapidly scaling these new techniques. By focusing on no-regrets techniques that work at scale, they are able to grow quickly. For example, WattTime’s Automated Emissions Reduction (AER) technique alone reached the milestone of 1 billion daily active users in the summer of 2024, and its other innovations are used by companies like Microsoft, Amazon, Meta, Google, Apple, Tesla, GM, Honda, BMW, and Toyota.

To accelerate these innovations, WattTime coordinates the Climate TRACE coalition, a collaboration of over 100 nonprofits, universities, and tech companies that use artificial intelligence and remote sensing to monitor global emissions. Today, Climate TRACE is monitoring the emissions from over 352 million facilities worldwide and closing in on a complete facility-level view of all sources of global climate change. Armed with this data, WattTime supports numerous partner nonprofits within the coalition to identify and scale faster, cheaper, easier, and more politically palatable methods to reduce emissions.

WattTime logo
At a Glance
Founded: 2015
Co-Founder & Executive Director: Gavin McCormick
Sustainability
Location of work: Domestic
WattTime
1111 Broadway
Oakland, CA
Giving everyone everywhere the power to choose clean energy.
Two men install a WattTime device on an HVAC system
WattTime entrepreneur Gavin McCormick headshot
Meet Gavin McCormick

Usually when you plug in anything that uses electricity, you have no way of knowing where the energy powering it is coming from. One minute, it can be a wind turbine. Five minutes later, a coal plant.

UC Berkeley PhD student Gavin McCormick realized that this constant change is actually environmentally helpful. If we could somehow know what type of energy we were getting, when, we could actually use this information to deliberately time devices to run at cleaner moments, reducing pollution.

Which begged the question, why exactly was it a secret when the power grid was clean, and when it wasn’t? So, after trying and failing to get power grid operators and utilities to release the information, Gavin tried a different tactic: he attended a hackathon.

There, Gavin met software engineers and grid experts with day jobs at places like Google, MIT, and the U.S. Department of Energy. Using emerging new statistical techniques, together the team developed software algorithms capable of detecting in real time how clean your energy will be if you use it at a certain moment. With that, WattTime was born.

Impact

Over 1 billion devices running AER and over 40 million metric tonnes of direct, verified CO2 emissions reductions to date

Active emissions-reducing partnerships with over 100 companies, including numerous Fortune 50 companies