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Ivanpah Solar Power Facility - What Went Wrong?
Ivanpah Solar Facility: Located in the middle of the Mojave Desert, one of the most ambitious solar projects ever built. Backed by a $1.6 billion U.S. Department of Energy loan and developed by NRG, Google, and BrightSource Energy, it was meant to be the future of concentrated solar power. Instead, it became one of the most controversial renewable energy projects in America. Over 170,000 mirrors focus sunlight onto three central towers to generate steam and electricity. But the project has faced serious challenges — from bird mortality along the Pacific Flyway, to habitat disruption affecting the threatened desert tortoise, to its reliance on natural gas for operational support. Economically, it has struggled to compete with rapidly falling solar PV prices. Politically, regulators and utilities are now debating whether parts of the plant should be shut down - even as electricity demand rises due to AI data centres. And the biggest question remains: Was the $1.6 billion government loan ever paid back? This case study explores the engineering, environmental trade-offs, economics, and policy tensions surrounding Ivanpah - and what it reveals about the risks of mega-scale climate innovation. What do you think should happen next?
Is this the Biggest Lie About AI? | Enviropreneur
AI is often described as clean, digital and almost invisible. But behind every prompt lies a vast physical system data centres, power grids, cooling infrastructure and resource-intensive hardware. In this video, we unpack the hidden climate cost of artificial intelligence — from the embodied carbon in GPUs and data centres, to the operational emissions every time you hit “enter.” One question might emit just 2–3 grams of CO₂e. But at 2.5 billion AI prompts every day, that adds up to an annual carbon footprint comparable to around half a million gasoline cars. You’ll learn: 🔹Why AI workloads consume far more electricity than traditional searches 🔹How data centres drive both operational and embodied carbon emissions 🔹Why AI’s energy demand could soon rival that of entire countries 🔹Where electricity for AI actually comes from today 🔹And whether AI can still play a positive role in tackling climate change AI could help cut gigatonnes of emissions in power, food, and mobility. But without guardrails, it may also deepen the crisis it promises to solve. So the real question is: Is AI helping the planet — or quietly harming it in ways we don’t see?
ONLY 10 are Left -The World’s Most Endangered Animals in 2026!
🌍7,079 animal species are on the brink of extinction (critically endangered animals or animals that will be extinct soon - hopefully not!🙏) Few of them have less than a population of 50😢. They might go extinct in 2026!⚠️ In this video, we have shared the 5 most endangered species in the world, including the causes of extinction of wildlife of these specific animals.🐾🌿
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