Electricity Maps

🔍 Data Insights: Net load & curtailment — Part 1: Great Britain When looking at wind generation patterns in Great Britain, some things are noticed immediately — there’s higher output in winter and strong daily fluctuations. But there is another trend: wind generation is consistently lower overnight. Is it because the wind dies down at night? Not always. In many cases, this drop is likely caused by curtailment: wind turbines being turned off despite available wind. So would consuming at these times avoid wasting renewable energy? Not necessarily. Curtailment can happen for several reasons and accurately identifying and predicting it is more complicated than it seems. However, a great signal to help grid balancing and avoid renewable curtailment is net load — defined as total demand minus wind and solar generation. It tells us how much of the demand must still be met by dispatchable (usually fossil) sources. 📉 When net load is low, renewable generation is high relative to demand. 📈 When net load is high, the grid relies more on fossil sources and polluting peaker plants. Net load is also a great signal for grid decarbonization, allowing optimization that reduces the gap between renewables and demand, and therefore the storage capacity needed. This is an opportunity for both operators and consumers, who can intelligently shift their loads to periods of low net load. Stay tuned for next week’s insight to see such optimization in action on the California grid. Interested in optimizing electricity loads with forecasted grid signals such as net load? Reach out to us: https://lnkd.in/dUtyk_CH #curtailment #netload #greentransition #decarbonization

Heading to SF Climate Week? Come find us! 👋 We will be in the Bay Area next week, and are excited to join the conversation around climate and tech! Join Electricity Maps' Founder & CEO Olivier Corradi for a live session at GitHub on “How to take Climate Action as a Developer”. 🗓️ Monday, April 21 at 12:45 PM 🔗 Sign up: https://lnkd.in/epAtkd6X Our Advocacy Lead Ryan Sholin will be joining a panel hosted by Cloud Sustainability Watch, alongside Allegra Reister from Google, Pascal J., Nolwenn Godard and Susannah Hill — discussing the climate impact of AI, data centers, and cloud infrastructure. 🗓️ Thursday, April 24 @ 2:00 PM 🔗 Sign up: https://lu.ma/6x4vi048 Want to meet up to learn how electricity data can power your decarbonization efforts? Reach out to us: https://lnkd.in/eDP5AHmX Anton Vedel Frederik Madsen

Granularity makes all the difference – Here's what companies miss when relying on yearly electricity data 🔍 A lot of companies still use yearly averages to calculate emissions from their electricity use. The problem? Grid carbon intensity fluctuates constantly — not just across seasons, but from one hour to the next. For example in the Netherlands, carbon intensity can more than double between months, triple between days, and quadruple between hours. Across the world, switching from yearly to monthly data already improves accuracy by 12% on average, enabling more accurate accounting and more informed decision-making. But hourly data unlocks the potential for real-time optimization: Using hourly instead of yearly values improves accuracy by almost 20% on average — and by more than 40% in the most variable grids. This level of carbon-awareness enables systems to optimize intelligently — shifting large electricity loads, for example in data center, to low-carbon hours to significantly reduce emissions. While hourly data is the gold standard for grid data, taking the first step toward monthly or daily granularity can sometimes be more accessible and already unlock significant accuracy improvements. 👉 Learn how you can unlock the full potential of emissions reductions with real-time and forecasted hourly electricity data with our API: https://lnkd.in/dfsjdXYP #greentech #renewableenergy #carbonaware

Will carbon-awareness be the new standard for sustainable IT infrastructure? We're thrilled to have Varun Mehra from Google and Dan Benitah representing the Green Software Foundation join our very own Pierre Segonne for a deep dive into the world of green IT in our next webinar. 🎬 We'll cover strategies to meet new sustainability demands in IT, explore how the next generation of data centers could address the challenges of increasing AI power consumption, and discuss how collaboration across the IT value chain can drive large-scale grid decarbonization. Save your spot and be part of the conversation: 📅  May 5th ⌚ 6pm CEST | 9am PST 👉 Register now: https://lnkd.in/df9iCVyr

Exciting news! We've significantly expanded our free historical datasets — helping companies around the globe to adopt more granular carbon accounting practices. 🌏 Today we released over 180+ additional electricity datasets in our portal to match the global coverage that is available in our app. The datasets come with yearly, monthly, daily or hourly granularity for carbon intensity, carbon-free energy percentage, and renewable energy percentage, empowering you to accurately calculate Scope 2 emissions and identify opportunities for future reductions. 🔗 Visit our portal to explore the new available countries and zones: https://lnkd.in/djKvYBfC #ElectricityData #Scope2Emissions #RenewableEnergy

Serving over 15 million API requests a day, Electricity Maps signals help companies around the globe to drive decarbonization in their operations and products. These sustainability efforts depend on accurate and trusted data. We believe that transparency and verifiability are key to building that trust, which is why we’ve released a whitepaper that details exactly how we calculate key electricity grid signals. It provides detailed information on: - The methodology of electricity mix, carbon intensity, renewable energy percentage, and carbon-free energy percentage calculations; - Our proprietary flow-tracing methodology; - Validation against authoritative sources, like IEA, Ember, and Eurostat. 📄 Download the whitepaper here: https://lnkd.in/dyB-_Yjf

Couldn’t join our data-driven grid decarbonization webinar this week? You can now watch the recording on demand and gain valuable insights from Olivier Corradi (Electricity Maps) and Killian Daly (EnergyTag) on measuring and reducing electricity emissions. 📹 One of the key takeaways? The importance of flow-tracing to accurately represent grid emissions — explained by Olivier in the snippet below. We also covered: ✔️ The evolving carbon accounting regulatory landscape ✔️ What to consider when selecting electricity grid data ✔️ Real-life grid data applications beyond accounting ✔️ Expert Q&A on US grid trends, market vs. location-based accounting, electricity price signals & more Catch the full conversation here: https://lnkd.in/dFkrHkwn

Congrats to the Google team for launching Carbon Footprint Reports for Google Ads! By leveraging global real-time carbon intensity signals and first-party data, this powerful tool enables advertisers to precisely measure emissions from their marketing activities in alignment with frameworks like the Greenhouse Gas Protocol (GHG Protocol). These insights empower marketing professionals to embed sustainability into their marketing strategy and contribute to their company’s net-zero goals. We’re excited to continue collaborating with Google, partnering on such impactful solutions that help Google customers better manage their electricity emissions. 📄 Learn more about the Carbon Footprint Reports for Google Ads: https://lnkd.in/dFzk53gf

Predicting the future of electricity grids is no easy task. So how did we build an engine capable of doing just that? In part two of our blog series, Pierre Segonne takes you under the hood of our forecasting engine — exploring the engineering principles and technology we used to build the large-scale, dynamic ML systems that power our predictions. Curious about the trade-offs we faced and the design decisions that shaped our approach? 👉 Read the full blog post here: https://lnkd.in/dbjeGEZi

⏳ Our live webinar is just one week away! Did you already save your spot? Join Olivier Corradi from Electricity Maps and Killian Daly from EnergyTag to learn what it takes to measure and reduce electricity emissions effectively. 🔗 Register now: https://lnkd.in/dvTPW-fe