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Power sector emissions changes before, during, and after the COVID-19 pandemic did not all track in similar directions for countries around the world. Some countries had major fluctuations in emissions, some have been steadily rising, and other countries’ power sector emissions have been steadily decreasing. We reviewed the data for G20 countries from 2015 to 2022 using the Climate TRACE database to see how they were impacted by the pandemic (and other concurrent trends), if at all, and why. Find out more about these countries’ power sector emissions trends since the COVID era in our latest blog: https://lnkd.in/gTYdu3D5 #Emissions #Pandemic #Climate #G20 #Power #Energy

LAST CALL! Applications for the Partner Success Analyst role close on Wednesday. What is it like to work with WattTime.org? Take it from Data Scientist Sam Koebrich: "This job is both incredibly fulfilling and low-stress at the same time. Everyone I work with is very passionate and driven, so that makes it easy." We are currently seeking applications for TWO positions with our growing team: 🟡 Partner Success Analyst  📆 Applications due May 1st 🔗 https://lnkd.in/giX22h3U 🟡 Partnerships Manager 📆 Applications due May 9th  🔗https://lnkd.in/gnTzFdRn Tag someone who you think would make a great WattTime Wonk! #ClimateTechJobs #ClimateJobs #Hiring #RemoteWork

Did you know that the United States electricity grid is essentially the world’s largest machine? There are a lot of variables and risks to navigate in keeping that machine running. Meanwhile, we’re working with new technologies to ensure that it runs efficiently and uses as much clean electricity as possible. Gavin McCormick recently spoke with Joe Whitwell of BBC about AI applications working to make that machine better for people and the planet. #Electricity #EnergyUse #AI

At their full potential, solutions like load-shifting, strategic renewables siting, and supply chain shifts can reduce more than 9 gigatons of CO2 emissions annually. WattTime’s work enables all of these climate solutions, but strong partnerships with mission-aligned leaders are the only things that will make that goal a reality. We are grateful to have been selected by Salesforce for their AI for Impact Accelerator program. With their support, we will further scale the reach of our solutions to advance emissions reductions globally. “We can enable even more users to reduce their emissions footprint quickly, affordably, and efficiently,” said founder Gavin McCormick of the new partnership. Read our press release for more: https://lnkd.in/dQ9sy_qX #AIforImpact #AIforgood #climatesolutions #climatetech

We're #hiring a new Partnerships Manager in United States. Apply today or share this post with your network.

Are you interested in joining the tech movement to rapidly drive emissions reductions at scale? We’re hiring a Partner Success Analyst to join our team. The Partners Success team supports leading companies and organizations with access to emissions data, helping them to create more climate-friendly products. Here are a few things that we’re looking for in this role: 🟡 A strong commitment to driving positive impact 🟡 Experience performing data analysis using APIs and Python 🟡 Strong data visualization and storytelling skills 🟡 Comfortable engaging external partners on complex concepts Read more about the job opening, and please share this opportunity with your networks: 🔗 https://lnkd.in/giX22h3U

The Big Green Machine, an initiative of Wellesley College documenting investment in the North American clean energy supply chain, is tracking more than 400 cleantech manufacturing projects totaling more than $250 billion in investments across the U.S., Canada, and Mexico. While #cleantech helps to substantially decrease downstream fossil #emissions by replacing emissions-intensive options with low- or zero-emissions cleantech (solar PV, wind, EVs, heat pumps, batteries), wouldn’t it be great if upstream cleantech manufacturing reduced its own emissions, too? Wellesley’s BGM is tracking that, too, to see which facilities are dirtier vs. cleaner in terms of their impact on grid emissions. It might be tempting to look at the overall grid mix — and the proportion of #renewables in it — for each manufacturing facility’s grid region. But a better and more accurate way to assess the emissions impact of these forthcoming facilities is by looking at the induced emissions from these new loads, calculated by using marginal emissions data. Fortunately, BGM is leveraging WattTime data to tease out those insights, also. Head on over to the BGM map-based visualization and see the marginal emissions data for yourself. 🔗https://lnkd.in/gudYszV5 In order for these facilities to truly minimize the emissions impact of their site-specific new #electricity loads, the solution is a powerful one-two punch: ➡️ For new manufacturing facilities, siting in regions with LOWER marginal emissions rates will minimize the newly induced grid emissions associated with their electricity demand. ➡️ For cleantech manufacturers procuring renewable energy as part of their energy and #decarbonization strategy, choosing PPAs for renewables projects sited in grids with HIGHER marginal emissions rates will displace more fossil energy and maximize the avoided emissions beneficial impact of each renewably generated megawatt. #Emissionality #Renewables #Energy #Electricity #CleanTech

We're #hiring a new Partner Success Analyst in United States. Apply today or share this post with your network.

Manufacturers looking to decarbonize have an increasing availability of software options to support emissions reductions and other sustainability goals. Take a look at this white paper from Nightingale HQ to learn more about Carbon Aware Software and what the Green Software Foundation is doing to support the green computing movement. #GreenSoftware #GreenTech #CarbonAware https://lnkd.in/g4RgdJPd

Satellite data and machine learning (ML) are opening up new methods to gather comprehensive, independent emissions data. In a study with Climate TRACE partners, TransitionZero, Global Energy Monitor, and collaborators from Pixel Scientia Labs and Georgetown University, we published an open-access paper in MDPI on remote sensing of emissions from power plants. This model estimates emissions from combustion power plants by looking at their water vapor plumes from satellites and training ML models to use those data to estimate power generation and carbon dioxide emissions. The plants used to validate this methodology account for 32% of global power plant CO2 emissions on the Climate TRACE dataset from 2015-2022. Open access to independent emissions data is a critical step for enabling emissions reductions from global power plants. We hope that by sharing this methodology scientists, policymakers, and corporations will be better able to assess and manage those carbon emissions. Read the paper to learn more about this exciting development in emissions monitoring. https://lnkd.in/e-PAgBY6 #Science #MDPI #PowerPlantEmissions #EmissionsData #ML