The intricate balancing act of operating the world’s largest machine, AKA the US power grid, has a lot of potential to reduce carbon emissions. “... Simply coordinating when certain devices tap into the grid could translate to 6 million fewer tonnes of carbon released into the atmosphere annually from Texas alone.” Learn more about the basics of how the grid works and how we can leverage technology to make it work better for the climate in this TED-Ed video supported by our own Henry Richardson. https://lnkd.in/gTP-YCx8
About us
WattTime is a nonprofit with a software tech startup DNA, dedicated to giving everyone everywhere the power to choose clean energy. We invented Automated Emissions Reduction (AER), which allows utilities, IoT device and energy storage companies, and any end user to effortlessly reduce emissions from energy, when and where they happen. Our cutting-edge insights and algorithms, coupled with machine learning, can shift the timing of flexible electricity use to sync with times of cleaner energy and avoid times of dirtier energy. We sell solutions that make it easy for anyone to achieve emissions reductions without compromising cost and user experience. WattTime was founded by PhD researchers from the University of California, Berkeley, and in 2017 became a subsidiary of Rocky Mountain Institute.
- Website
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http://watttime.org
External link for WattTime.org
- Industry
- Environmental Services
- Company size
- 11-50 employees
- Headquarters
- Oakland
- Type
- Nonprofit
- Founded
- 2014
- Specialties
- Demand Response, Clean Energy, Data Science, Internet of Things, Electric Vehicle Charging, Smart Grid, Carbon Footprint Reduction, Electric Vehicle, Energy, Saas, Energy Efficiency, Software, Renewable Energy, Corporate ESG, Emissions Reduction, Climate Action, and Climate Impact
Locations
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Primary
Get directions
Oakland, US
Employees at WattTime.org
Updates
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The bright minds at Project Drawdown are dedicated to finding solutions that work best for the climate. We're thrilled to see that deliberately siting renewable energy in the most impactful locations — what we at WattTime like to call “emissionality” — is high on their list of most impactful climate solutions. Watch their webinar: https://lnkd.in/gm7wuN67
Together, We Can: How to move climate solutions forward in 2025 | Featuring Dr. Jonathan Foley
https://www.youtube.com/
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DYK: Our website has an entire page dedicated to our methodology and related peer-reviewed research? Don’t want to talk to your seatmate on the flight home? Add some marginal emissions literature to your holiday travel reading list this year! https://lnkd.in/dPhgbiJC
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Thank you, Lee Taylor for highlighting the recently published research, “Validating Locational Marginal Emissions Models with Wind Generation.” Kudos to the authors Nathaniel Steinsultz, Pierre Christian, Joel Cofield, Gavin McCormick, and Sarah Sofia for their hard work leading to this research. It’s critical that decarbonization strategies are rooted in accurate data and take into account the impact that every grid action has on emissions. With granular marginal emissions data, we are better able to make high-impact decisions for procurement, load shifting, and renewables siting. #EveryTonneMatters #MarginalEmissions
The recent VERACI-T initiative paper (https://lnkd.in/ehQufiN2) published by WattTime is a significant validation of the accuracy of marginal emissions data in measuring real-world emissions from the grid. As we move towards a cleaner energy future, understanding how changes in generation or consumption impact the emissions profile of the grid is crucial. This paper does exactly that, using the gold standard of research: randomized control trials. WattTime’s team demonstrated how marginal emissions data accurately explain the changes in grid-level emissions as a result of supply “shocks” - in this case dramatic changes in wind output. One key takeaway is that several marginal emissions data sets are highly accurate in explaining emissions variations. And, I am quite proud to report that REsurety's Locational Marginal Emissions (LME) dataset, which provides hourly, nodal emissions data at 35,000 locations across the U.S., was recognized as a particularly valuable tool in measuring emissions impacts of grid activity. We want to congratulate the WattTime.org team on their excellent work and encourage researchers, policymakers, and end-users to take advantage of this high-quality data. REsurety’s LME data is available free of charge to all researchers and many end-users, and we’re excited to see how it can support your decarbonization efforts.
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With over 70 million EVs expected to hit US roads by 2035, utilities need proactive methods to ensure at-home charging is reliable, affordable, and sustainable. Flexible loads like charging your vehicle overnight can adopt automated technology to adjust when the vehicle is charging, without requiring drivers to change their routines. This method can be co-optimized for emissions reductions in addition to price signals and other important factors, helping utilities manage load and decarbonize the grid. https://lnkd.in/eWHJ6t2v #Emissions #EVCharging #SmartCharging
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We’re thrilled to announce that WattTime has been selected as a Splunk Social Impact grantee helping to bridge the Data Divide! This opportunity allows us to further our mission of slashing emissions by leveraging data for decarbonization. We’re honored to be in the Data to Action and Impact cohort alongside organizations like ProPublica and OpenAQ Inc. Learn more about our journey and other inspiring nonprofits here: https://lnkd.in/gMa7uPh3 #DataDivide #socialimpact
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The Global South has loads of potential for renewables development, and when procurement efforts move climate finance to regions with less renewable infrastructure, more fossil fueled grid #emissions are displaced. That’s a win not just for net zero, but for climate justice and global decarbonization. #EveryTonneMatters #ClimateJustice #ClimateFinance
Emerging markets outside of China will need to more than double their annual energy investments to reach net-zero emissions by 2050. ⚡ BloombergNEF projects that these low- and middle-income economies will require $69 trillion in the coming decades - or $2.6 trillion per year on average - with investments spanning solar and wind power, electric vehicles, and more. 👉 Read more insights here: https://bloom.bg/4fTpObu #NetZero #EnergyTransition #ZeroEmissions
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Be sure to visit these sessions at AGU next week, where Climate TRACE researchers will discuss their work and recent progress on #emissions modeling.
Are you attending #AGU24 next week? Members of Climate TRACE will be participating in talks and poster sessions presenting their research related to Climate TRACE emissions modeling, AI, and observational technology. Mark your calendars for these Climate TRACE sessions: 🌎 Closing Major Information Gaps in Global Greenhouse Gas Emissions Tracking Using Remote Sensing and AI: The Climate TRACE Coalition 🔗 https://lnkd.in/g9-hpsxr 🌏 High-Resolution Global Crop-Specific N₂O Emissions Mapping using a Hybrid Approach 🔗 https://lnkd.in/gnDyU8we 🌍 Carbon fluxes estimated by combining the Climate TRACE inventory with OCO-2 carbon dioxide observations 🔗 https://lnkd.in/gMsB4MPM 🌎 Temporal Disaggregation of Point-Source Emissions Data for the Climate TRACE Inventory 🔗 https://lnkd.in/gmWYWQ94 🌏 Wastewater sector- Emissions from Wastewater treatment plants 🔗 https://lnkd.in/gza2NvYz 🌍 Generating High-Resolution Global Building Emissions Estimates Using Bottom-Up Modeling and Machine Learning 🔗 https://lnkd.in/gHa9aaAZ American Geophysical Union
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Laura Corso represented WattTime at the 50th annual PLMA (@PLMAflm) conference last month. She shared the stage with fellow load management professionals on the panel, “Why Load Shifting is the next Powerful Decarbonization Solution”. Load shifting for emissions reduction can reduce induced carbon emissions up to 90% by simply shifting when we use electricity to cleaner times. More than 900 million devices are already using WattTime’s AER (Automated Emissions Reduction) technology to drastically reduce carbon emissions without any negative impact on user experience or comfort. Did you catch the panel at PLMA?
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