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Energy


Self-Tuning Artificial Intelligence Improves Plant Efficiency and Flexibility

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Flexible plant operations are highly desirable in today's power generation industry. Every plant owner desires increased ramp rates and the ability to operate at lower loads so their plants will remain "in the money" longer in today's competitive power markets. This goal, while laudable, remains elusive. The ADEX self-tuning artificial intelligence (AI) system allows plants to continuously optimize plant performance at any operating point rather than being constrained to a static "design point" commonly found in gas- and coal-fired plants. Better yet, no changes to the plant distributed control system (DCS) are required.


Closed-loop AI Enables Autonomous Process Manufacturing

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The move from automated to autonomous process manufacturing is right around the corner. This article comes from the May 2021 issue of Intech Focus: Process Control and Safety. For process manufacturing, the ultimate promise of Industry 4.0 is autonomous manufacturing. Autonomous control of manufacturing processes is required, not to eliminate human workers, but to build resilient and highly responsive manufacturing supply chains. Resilience is required to enhance the top and bottom lines of a manufacturing enterprise.


Terminator salvation? New machine learning program to accelerate clean energy generation

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From'The Terminator' and'Blade Runner' to'The Matrix,' Hollywood has taught us to be wary of artificial intelligence. But rather than sealing our doom on the big screen, algorithms could be the solution to at least one issue presented by the climate crisis. Researchers at the ARC Centre of Excellence in Exciton Science have successfully created a new type of machine learning model to predict the power-conversion efficiency (PCE) of materials that can be used in next-generation organic solar cells, including'virtual' compounds that don't exist yet. Unlike some time-consuming and complicated models, the latest approach is quick, easy to use and the code is freely available for all scientists and engineers. The key to developing a more efficient and user-friendly model was to replace complicated and computationally expensive parameters, which require quantum mechanical calculations, with simpler and chemically interpretable signature descriptors of the molecules being analyzed.


How Artificial Intelligence Threatens World Peace

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If you follow my blogs, you know that I've been focusing a fair amount of attention on artificial intelligence, and how it has raised reasons for both optimism and extreme ethical pause. In this one, I want to discuss how there is potential for a new conflict not dissimilar to the Cold War with the development and proliferation of nuclear energy; but this time AI will take centre stage of the theatre. Very much akin to nuclear expansion, artificial intelligence comes with its own bag of pros and cons. Indubitably, nuclear energy has been harnessed for the commonwealth of mankind. Water Desalination -- Reducing the saline content of seawater is extremely costly and inefficient.


Airo self-driving electric car cleans other car's pollution while driving

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Heatherwick Studio's concept electric car was presented at the Shanghai Motor Show 2021 in April. The Airo was designed by the London design studio for IM Motors and is a fully electric vehicle with autonomous and driver-controlled modes. The Airo will run on electric power, producing no fossil fuel pollutants as it moves around the city. But the car goes further in its environmental ambition as it also comes complete with a state-of-the-art HEPA filtering system that actively cleans the air from the pollution of other vehicles as it passes through the under-carriage, leaving the air around it cleaner. In addition to its embedded air-filtering system, Airo's customizable interior can be configured into multiple functional spaces that turn the car into a moving room or a space for your life.


Can we afford AI?

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Of all the concerns surrounding artificial intelligence these days -- and no, I don't mean evil robot overlords, but more mundane things like job replacement and security -- perhaps none is more overlooked than cost. This is understandable, considering AI has the potential to lower the cost of doing business in so many ways. But AI is not only expensive to acquire and deploy, it also requires a substantial amount of compute power, storage, and energy to produce worthwhile returns. Back in 2019, AI pioneer Elliot Turner estimated that training the XLNet natural language system could cost upwards of $245,000 – roughly 512 TPUs running at full capacity for 60 straight hours. And there is no guarantee it will produce usable results.


Engineers Apply Physics-informed Machine Learning To Solar Cell Production - AI Summary

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Despite the recent advances in the power conversion efficiency of organic solar cells, insights into the processing-driven thermo-mechanical stability of bulk heterojunction active layers are helping to advance the field. Lehigh University engineer Ganesh Balasubramanian, like many others, wondered if there were ways to improve the design of solar cells to make them more efficient? Balasubramanian, an associate professor of Mechanical Engineering and Mechanics, studies the basic physics of the materials at the heart of solar energy conversion – the organic polymers passing electrons from molecule to molecule so they can be stored and harnessed – as well as the manufacturing processes that produce commercial solar cells. Using the Frontera supercomputer at the Texas Advanced Computing Center (TACC) – one of the most powerful on the planet – Balasubramanian and his graduate student Joydeep Munshi have been running molecular models of organic solar cell production processes, and designing a framework to determine the optimal engineering choices. "When engineers make solar cells, they mix two organic molecules in a solvent and evaporate the solvent to create a mixture which helps with the exciton conversion and electron transport," Balasubramanian said.


Sustainability and technology go hand in hand

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Industrial Revolution 4.0 (IR 4.0) may not often be associated with climate change mitigation, but its use of technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI) and cloud computing can actually play a pivotal role. Smart factories equipped with IR 4.0 capabilities can be more efficient and effective than ever before, ensuring that no energy or materials are wasted, observes Datuk Mohd Abdul Karim Abdullah, CEO of Serba Dinamik Holdings Bhd. Clean energy can also be integrated with IR 4.0 to power various processes and the transport of goods to the final consumer. "Investing in research and development to bring more awareness of how technology can encourage reuse, reduce, recycle and replace principles so that there is effective use of raw materials and energy is important," he says. IR 4.0 creates more efficiency and improves the way businesses are run.


Introduction To Crude Oil Markets

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This course will give an overview of all the topics we shall be looking at in this course. We shall begin by describing the oil value chain – the exploration and development, how oil is produced, shipped, and marketed. Moving further, we will learn about the importance of oil in the industry, both as a fuel and as a raw material in various forms in the global economy. Then, we will go through a brief history of oil – how it all began, and the different'kinds' of oil discoverers. We will be introduced to the major players in the oil market – the top producers and the major consumers. We will then see how oil is formed, how it sits deep within the earth and how we discover and refine it. We will learn about the different types of oils, and the methods employed to extract them. This will be followed by a brief overview of the different means of transporting oil, and the risks and benefits associated with the different methods of oil transport. Lastly, we shall look into the different oil benchmarks that prevail globally.


Converging the physical and digital with digital twins, mixed reality, and metaverse apps

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Cloud and edge computing are coming together as never before, leading to huge opportunities for developers and organizations around the world. Digital twins, mixed reality, and autonomous systems are at the core of a massive wave of innovation from which our customers already benefit. From the outside, it's not always apparent how this technology converges or the benefits that can be harnessed by bringing these capabilities together. This is why at Microsoft Build we talk about the possibilities this convergence creates, how customers are already benefitting, and our journey to making this technology easier to use and within reach of every developer and organization. Imagine taking any complex environment and applying the power of technology to create awe-inspiring experiences and reach new business heights that were previously unimaginable.