Environmental Impact Of Technology

📌Turning Waste into Warmth: A Smarter Way Forward 🔁🔥 Finland is transforming how cities use energy by integrating sustainability directly into digital infrastructure. New underground data centers in Helsinki are designed not only to host servers but also to recycle the immense heat they generate. Instead of venting this waste energy, it’s captured and redirected into district heating systems that warm nearby homes and buildings. This closed-loop approach allows the same energy that powers cloud computing to heat thousands of apartments, reducing reliance on fossil fuels and cutting urban carbon emissions dramatically. Data centers, once known for their high energy consumption, are becoming key players in renewable urban ecosystems. This is the kind of circular solution modern facilities must aspire to. By integrating technology, engineering, and smart planning, even high-energy systems like data centres can become contributors to a greener city. For facilities and estates professionals, the message is clear: Sustainability isn’t always about new resources — it’s about using what we already have, better. The project underscores Finland’s leadership in green innovation — turning what was once environmental waste into community benefit. As cities worldwide search for climate solutions, this model shows how technology and sustainability can work hand in hand to reshape the future of energy. A powerful reminder of what’s possible when we rethink infrastructure with efficiency and environmental responsibility at the core. Sources: ✍️TechTimes #GreenEnergy #FinlandInnovation #SustainableCities #DataCenters #CleanTechnology #Infrastructure #Environmental #Technology

Have you ever stopped to think about the energy cost of a Google search or generating content with AI? I hadn’t, until it was part of my job to understand the environmental impact of the data centers that make these everyday actions possible. Data centers—hidden behind the digital services we rely on—consume vast amounts of energy to store, process, and transmit data. They’re essential infrastructure, but their carbon footprint poses a serious challenge. That’s where sustainable data centers come in, and they’re about much more than just switching to renewable energy. Here’s what many people *don’t* know: - Some data centers now recycle the heat they generate, using it to warm communities or power other businesses. - AI is being deployed to optimize energy usage, predicting demand and automating cooling systems. - Waterless cooling systems are reducing the environmental toll of traditional water-intensive processes. (confusingly, this is also known as liquid cooling, because it uses specialized liquid in a closed loop to cool the servers, like how a radiator works in cars) The best part? These sustainable solutions don’t just benefit the planet—they’re saving companies millions in operational costs and setting new benchmarks for innovation in technology. #Sustainability #TechInnovation #DataCenters

Data centres are the lifeblood of our digital existence. These cathedrals of compute run everything from our social media posts to complex AI algorithms. However, their voracious appetite for electricity is raising concerns about sustainability and grid stability. To grasp the scale of data centre power usage, consider that in 2022, global data centres consumed about 460 terawatt-hours (TWh) of electricity. One TWh can power roughly 95,000 homes for a year, meaning data centres collectively used enough electricity to power nearly 44 million homes – more than all the households in the UK and France combined. Experts predict that by 2026, this figure could more than double, potentially reaching up to 1,050 TWh. This is equivalent to adding the entire electricity consumption of Germany to the global grid in just four years. The burgeoning energy demand from data centres is becoming a significant political issue, particularly in countries hosting large numbers of these facilities. In Ireland, for instance, data centres are projected to consume up to 32% of the country’s electricity by 2026. This is forcing governments to grapple with challenging questions: How do we balance supporting the digital economy with ensuring energy security for citizens? Should there be limits on data centre development? These questions are sparking debates in parliaments and local councils, potentially leading to new regulations and policies governing data centre operations and energy use. As awareness grows about the electricity consumption of our digital activities, we’re seeing a shift in public perception. Each Google search, streamed video, and AI-generated image has an energy cost, and society is beginning to reckon with this. However, it also raises questions of digital equity – as energy costs rise, will access to digital services become more expensive, potentially widening the digital divide? Enter the concept of nuclear-powered data centres - facilities utilising small modular reactors (SMRs). As with all things AI, it initially sounds like science fiction, but these are being actively developed in some countries. These miniature nuclear plants, about the size of a couple of shipping containers, could potentially provide a constant, zero-emission power source right next to data centres. This approach promises to alleviate pressure on national grids, reduce carbon footprints, and provide a stable energy supply, although it also raises questions about public acceptance, regulatory challenges, and the long-term sustainability of nuclear waste management. For AI, these insights paint a complex picture. The energy-intensive nature of AI, particularly in training large models, is contributing significantly to data centre electricity demand. This could lead to a push for more energy-efficient AI algorithms and chips. It might also drive a trend towards “AI decentralisation,” with more processing done on edge devices to reduce the load on centralised data centres.

Revolutionizing Fishing: How Technology is Changing the Game 🐟🐟🐟 Innovative technology is transforming fishing and marine exploration like never before. One fascinating method involves attaching action cameras to bait, capturing real-time, up-close footage of fish and marine life in their natural habitat. This approach, once limited to researchers and documentary filmmakers, is now opening new possibilities for understanding aquatic ecosystems. But beyond underwater cameras, a wave of technological advancements is reshaping the fishing industry: 🎣 Sonar & Fish Finders – High-resolution sonar, including CHIRP technology, helps anglers and researchers locate fish with precision. 🌍 GPS & Satellite Tracking – Smart fishing gear and satellite monitoring enable sustainable fishing practices and better tracking of fish migration. 📡 AI & Big Data in Fishing – AI-powered predictive analytics optimize fishing strategies while reducing overfishing and waste. 🐠 Smart Nets & Bycatch Reduction – Tech-driven nets with LED lights and sorting systems help minimize unintended catch, protecting marine biodiversity. 🔬 DNA & eDNA Sampling – Scientists now use water samples to detect fish presence through environmental DNA, revolutionizing marine conservation efforts. From commercial fishing to marine research and even recreational angling, technology is making fishing smarter, more efficient, and more sustainable. #Fishing #FishingTech #Underwater #ActionCamera #MarineInnovation #Sustainability #AI #Sonar #FutureOfFishing #SmartFishing

🌊🐟 Excited to dive into the future of sustainable seafood with this fascinating article! 🐠🌱 In the article titled "A Dive into Aquaculture: The Future of Sustainable Seafood," the author explores the promising advancements and potential of aquaculture in revolutionizing the production of sustainable seafood. The article delves into the challenges posed by traditional fishing practices, such as overfishing and damage to marine ecosystems, and highlights aquaculture as a viable solution. It explains how aquaculture involves the cultivation of fish, mollusks, and aquatic plants in controlled environments like tanks, ponds, or floating structures. The author emphasizes the environmental benefits of aquaculture, including reduced pressure on wild fish populations, minimal habitat destruction, and efficient resource utilization. The article showcases innovative techniques being employed in aquaculture, such as recirculating aquaculture systems (RAS) that recycle water and minimize waste, and integrated multi-trophic aquaculture (IMTA) that utilizes the symbiotic relationship between different species to create a more sustainable ecosystem. Furthermore, the article discusses the potential for vertical and offshore aquaculture, which allows for increased production capacity and the utilization of underutilized ocean spaces. It highlights the use of technology and data-driven approaches to monitor and optimize aquaculture operations, ensuring the highest standards of environmental sustainability and fish welfare. The author Nikos Simos also touches upon the growing demand for seafood globally and how aquaculture can help meet this demand while reducing dependence on wild-caught fish. Additionally, the article mentions the importance of regulatory frameworks and certifications to ensure the responsible and sustainable development of the aquaculture industry. Overall, the article provides a comprehensive overview of the transformative potential of aquaculture in creating a future where sustainable seafood production can meet the needs of a growing population while protecting our precious marine ecosystems. https://lnkd.in/gwPfSqYW 🚀🌍 #Aquaculture #SustainableSeafood #Innovation

Norway is using advanced underwater technology to tackle one of the ocean's most persistent threats: abandoned fishing gear, often called "ghost nets." These lost or discarded nets can continue trapping fish, seals, turtles, whales and other marine animals for years, damaging ecosystems long after they have been abandoned. To address the problem, researchers and marine organisations are deploying remotely operated underwater vehicles (ROVs) and autonomous drones equipped with high-resolution cameras, sonar systems and robotic tools. These machines can locate ghost nets on the seafloor or suspended in the water, allowing recovery teams to safely remove them from areas that are difficult or dangerous for divers to reach. Recovered nets can often be recycled into new products, reducing plastic waste while helping protect marine life. The technology also provides valuable data about the scale and location of underwater pollution, enabling more effective conservation efforts. While underwater drones alone cannot solve the global problem of marine plastic pollution, they are becoming an important part of the solution. Combined with responsible fishing practices, stronger waste management and international cooperation, innovations like these show how technology can help restore healthier oceans and give marine ecosystems a better chance to recover for future generations.

What if a data centre could run on water that was wastewater an hour earlier? That's not hypothetical. That's what we're doing with Amazon in Mississippi and it genuinely excites me. Veolia is deploying autonomous, containerised treatment systems that take effluent from nearby wastewater plants and transform it into the cooling water that keeps Amazon's data centres running. More than 83 million gallons of potable water is saved every year. The equivalent of around 760 homes' annual water use, no longer drawn from local groundwater. The first facility goes live in 2027. And if it works here and it will, then it can work anywhere in the world where conditions are right. This is what innovation in our sector actually looks like. Not incremental. Not theoretical. Real engineering, deployed at scale, solving a real problem. Data centres are the infrastructure of the digital economy. They also consume enormous amounts of water. Those two facts are on a collision course, unless we get creative. This is us getting creative. And there's a second layer to this partnership that I think is equally significant. AWS is helping us bring AI into our own water treatment operations, real-time process optimisation, predictive maintenance, smarter inventory management. We're not just helping Amazon be more water-resilient. We're becoming a sharper, faster, better-informed operator ourselves. I spend a lot of time thinking about what the future of resource management looks like. This is it. Circular thinking. Closed-loop systems. AI-enhanced operations. Technology that doesn't just reduce harm, it actively creates value from what we used to call waste. Proud of the teams across Veolia who made this possible. And genuinely energised about where we go next. #WaterInnovation #DataCentres #Sustainability #Veolia #CircularEconomy #AI #EnvironmentalSecurity

AI is accelerating fast…. but so are the emissions behind it. 🤖 💨 New reporting suggests officials may have hugely underestimated the carbon impact of UK AI datacentres — with potential emissions of up to 123 MtCO₂ over the next decade. That is about the same as the entire annual emissions of Sweden. That is not marginal. It is major infrastructure with major consequences. Some are quietly discussing having SMR - small nuclear reactors for each data centre! If we are serious about net zero, the answer cannot be: “Build more datacentres now and hope the grid catches up later.” It should be simple: New datacentres = new clean power. If a hyperscale AI datacentre wants planning approval, it should help fund and deliver: • new renewable energy generation • battery storage for resilience and peak management • flexible demand to reduce grid stress • heat recovery where practical • transparent whole-life carbon accounting • water and cooling impact disclosure And remember that even net zero operational emissions might just conceal huge embodied of upfront emissions from the construction and mobilisation of these data centres. Additionality matters. Construction and the built environment sit at the centre of this. Where we build, how we power, how we cool, and how we design for long-term resilience will decide whether AI becomes part of the climate solution—or another carbon problem. Digital growth must not mean physical decline. If AI needs new datacentres, those datacentres should bring their own new renewable energy with storage. Anything less is just moving emissions around. Even the additionality is a problem. Without AI, the new clean energy could have been used to accelerate the transition away from nuclear fuels. #SustainableLeadership SDG 7/8? But need much more 13.

🐟 Transforming Aquaculture through Machine Learning and AI: The Aquabyte Story 🤖 Aquaculture is the 𝐛𝐫𝐞𝐞𝐝𝐢𝐧𝐠, 𝐫𝐞𝐚𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐡𝐚𝐫𝐯𝐞𝐬𝐭𝐢𝐧𝐠 𝐨𝐟 𝐟𝐢𝐬𝐡, 𝐬𝐡𝐞𝐥𝐥𝐟𝐢𝐬𝐡, 𝐚𝐥𝐠𝐚𝐞, 𝐚𝐧𝐝 𝐨𝐭𝐡𝐞𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐬𝐦𝐬 in all types of water environments. In the fast-evolving world of aquaculture, where the $250 billion industry is constantly seeking ways to improve efficiency and sustainability, 𝐀𝐪𝐮𝐚𝐛𝐲𝐭𝐞 is at the forefront of applying machine learning and AI to 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐞 𝐭𝐡𝐞 𝐰𝐚𝐲 𝐟𝐢𝐬𝐡 𝐟𝐚𝐫𝐦𝐢𝐧𝐠 is done. 👉 𝐓𝐡𝐞 𝐆𝐨𝐚𝐥  Produce healthy fish at a lower cost. The traditional fish farming industry relies heavily on the experience and intuition of farmers, who often manage their operations with limited data and insights. Aquabyte aims to change this by providing farmers with the power of data and ML to make more informed decisions. Aquabyte's AI technology is based on computer vision and edge computing, similar to the technology used in drones and autonomous cars. 👉 𝐇𝐨𝐰 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐰𝐨𝐫𝐤? The use of Aquabyte's AI technology involves lowering a camera with an attached graphics processing unit into the fish pen. The camera takes continuous images of the fish, analyzing them in real time, providing farmers with a comprehensive view of their fish population, unlike traditional methods that only allow for a limited view of the top five percent of the pen. Aquabyte's AI models generate three crucial types of information: 👉 𝐅𝐢𝐬𝐡 𝐰𝐞𝐥𝐟𝐚𝐫𝐞: This includes sea lice counts, which are essential for maintaining the health of the fish and complying with government regulations. 👉 𝐏𝐞𝐥𝐥𝐞𝐭 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧: This helps farmers understand the percentage of feed that sinks to the ocean floor uneaten, leading to significant cost savings and reduced environmental impact. 👉 𝐅𝐢𝐬𝐡 𝐛𝐢𝐨𝐦𝐚𝐬𝐬: By analyzing the distribution of fish in each pen by weight and volume, farmers can make informed decisions about when to harvest and project their revenues. Did you know that aquaculture is the fastest-growing food production sector In the world? 🐟 Over 60% of all seafood will come from Aquaculture by 2030 according to the World Bank. 🐟 Since 2001, the 𝐠𝐫𝐨𝐰𝐭𝐡 rate of cultured aquatic animals has averaged 𝟓.𝟑% annually, with certain countries, particularly Indonesia and Bangladesh, surpassing 9% annual growth. (compared to a 2.8% growth rate for terrestrially farmed meat) The future of food sustainability is undoubtedly intertwined with the role of AI, and Aquabyte is leading the charge in revolutionizing the aquaculture industry. By harnessing the power of ML, Aquabyte is not only improving the efficiency and sustainability of fish farming but also contributing to a healthier and more environmentally friendly global food system.👇 ******************************************** • Please 𝐋𝐢𝐤𝐞, 𝐒𝐡𝐚𝐫𝐞, 𝐅𝐨𝐥𝐥𝐨𝐰 • Ring the 🔔 for notifications.