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NUCLEARN ISARTIFICIAL INTELLIGENCE FOR THE NUCLEAR INDUSTRY
FOR THE MOST COMMON BUSINESS TASKS
Experience streamlined operation processes with NuclearN! Our AI-powered on-prem or off-prem platform automates critical tasks like condition report coding, trend detection, safety reporting, CAP screening, and beyond. With our foundations built for the Nuclear Power industry, NuclearN is able to adapt to your specific needs.
Phil Zeringue
VP Strategic Partnerships and Growth, Nuclearn
Investment strategies for Env. mkts under current state of new regs
Transforming Utilities with AI: A Roadmap to Enhanced Efficiency and Cost Reductions
Phil Zeringue – VP Strategic Partnerships and Growth, Nuclearn
IntroductionEvery job where a computer is the primary tool for performing work will be impacted by AI. Within the next 24 months not being willing or capable of using AI in your job will be equivalent to not being able to use a computer or smartphone in the workplace today.· According to a McKinsey report, AI-driven automation can lead to a 20-30% increase in operational efficiency in various industries, including utilities.· PwC estimates that by 2030, AI could contribute up to $15.7 trillion in cost reductions· IBM reports that implementing AI for predictive maintenance in utilities can reduce equipment maintenance costs by up to 25%.· Gartner predicts that by 2025, customer service interactions automated by AI will increase by 400%.· A study by Accenture notes that AI applications in utilities can help optimize energy consumption patterns, potentially reducing energy consumption by 10-20· In a recent Forbes article AI-powered fraud detection systems have shown an accuracy rate of over 90%, contributing to significant cost savings· According to a report by Capgemini, AI can help optimize supply chain operations, reducing supply chain costs by 20% and improving production efficiency by 50%. Workforce Productivity:· Salesforce suggests that companies using AI for automation experience a 41% reduction in time spent on manual data entry tasks· Harvard Business Review states that AI adoption is becoming a key differentiator for companies, with early adopters experiencing a 5% higher market share and 35% higher shareholder value.Understanding the Current State of UtilitiesA. Overview of traditional utility operations1. Manual processes and human decision-making2. Challenges faced by utilities in terms of efficiency and cost-effectivenessMultiple Use Cases and Benefits of AI in UtilitiesA. Definition and brief explanation of AI in the utility contextB. Use cases of AI in utilities1. Problem identification and dispatch automation2. Customer care and engagement automation3. Billing, finance, fraud and theft detection automation4. AI powered engineering assistant5. Project and schedule risk analysis6. Predictive maintenance advancements7. Parts and equipment inventory optimizationAchieving Cost Savings with Market Ready ToolsA. Reduced Operational Costs1. Streamlining workflows with AI2. Minimizing human error in decision-makingB. Case Studies and Examples1. Highlight specific utilities that have successfully implemented AI2. Showcase the cost savings achieved through automated decision-makingThe Future Landscape of Utilities A. Emerging Technologies1. Integration of AI with other emerging technologies (e.g., IoT)2. Anticipating further advancements in utility operationsB. The Role of Regulations1. Current regulatory landscape for AI in utilities2. The need for adaptive and supportive regulationsVIII. ConclusionA. Summarize key points1. Recap the benefits of AI in utilities2. Emphasize the potential for sustained cost savingsB. Closing thoughts1. Inspire optimism for the future of utilities with AI2. Encourage continued exploration and innovation in the fieldQ&A SessionA. Invite questions from the audienceB. Provide thoughtful responses, reinforcing key points from the speech
1-Minute Introductory Video
Transforming Utilities with AI: A Roadmap to Enhanced Efficiency and Cost Reductions
Information Request
D2
Power Gen | Mercury | AI |
Feb 15 (10 am – 12 pm)
Ramesh Narasimhan
Enabling Sustainability and Regulatory Compliance: Data Management and Digital Solutions
Enabling Sustainability and Regulatory Compliance: The Crucial Role of Data Management and Digital Solutions in the Current Business Landscape
Ramesh Narasimhan – ERM
In an era marked by increased scrutiny of corporate practices and a growing emphasis on environmental sustainability, the significance of a mature data management framework, well-defined processes, and resilient digital solutions cannot be overstated. This presentation underscores the pivotal role that these components play in meeting regulatory obligations and satisfying stakeholder demands for transparency and accountability, particularly in the context of evolving disclosure requirements such as those set forth by the SEC and European CSRD/Taxonomy. Furthermore, supported by integrated digital solutions and well-defined outcomes, companies can not only meet their present obligations but also lay a foundation for effective decarbonization programs, where data-driven insights guide strategic decision-making, risk assessment, and the formulation of impactful emission reduction strategies. This evolution is critical for companies to differentiate their sustainability performance among peers and gain competitive advantage.
Phil Zeringue
Transforming Utilities with AI: A Roadmap to Enhanced Efficiency and Cost Reductions
Investment strategies for Env. mkts under current state of new regs
Transforming Utilities with AI: A Roadmap to Enhanced Efficiency and Cost Reductions
Phil Zeringue – VP Strategic Partnerships and Growth, Nuclearn
IntroductionEvery job where a computer is the primary tool for performing work will be impacted by AI. Within the next 24 months not being willing or capable of using AI in your job will be equivalent to not being able to use a computer or smartphone in the workplace today.· According to a McKinsey report, AI-driven automation can lead to a 20-30% increase in operational efficiency in various industries, including utilities.· PwC estimates that by 2030, AI could contribute up to $15.7 trillion in cost reductions· IBM reports that implementing AI for predictive maintenance in utilities can reduce equipment maintenance costs by up to 25%.· Gartner predicts that by 2025, customer service interactions automated by AI will increase by 400%.· A study by Accenture notes that AI applications in utilities can help optimize energy consumption patterns, potentially reducing energy consumption by 10-20· In a recent Forbes article AI-powered fraud detection systems have shown an accuracy rate of over 90%, contributing to significant cost savings· According to a report by Capgemini, AI can help optimize supply chain operations, reducing supply chain costs by 20% and improving production efficiency by 50%. Workforce Productivity:· Salesforce suggests that companies using AI for automation experience a 41% reduction in time spent on manual data entry tasks· Harvard Business Review states that AI adoption is becoming a key differentiator for companies, with early adopters experiencing a 5% higher market share and 35% higher shareholder value.Understanding the Current State of UtilitiesA. Overview of traditional utility operations1. Manual processes and human decision-making2. Challenges faced by utilities in terms of efficiency and cost-effectivenessMultiple Use Cases and Benefits of AI in UtilitiesA. Definition and brief explanation of AI in the utility contextB. Use cases of AI in utilities1. Problem identification and dispatch automation2. Customer care and engagement automation3. Billing, finance, fraud and theft detection automation4. AI powered engineering assistant5. Project and schedule risk analysis6. Predictive maintenance advancements7. Parts and equipment inventory optimizationAchieving Cost Savings with Market Ready ToolsA. Reduced Operational Costs1. Streamlining workflows with AI2. Minimizing human error in decision-makingB. Case Studies and Examples1. Highlight specific utilities that have successfully implemented AI2. Showcase the cost savings achieved through automated decision-makingThe Future Landscape of Utilities A. Emerging Technologies1. Integration of AI with other emerging technologies (e.g., IoT)2. Anticipating further advancements in utility operationsB. The Role of Regulations1. Current regulatory landscape for AI in utilities2. The need for adaptive and supportive regulationsVIII. ConclusionA. Summarize key points1. Recap the benefits of AI in utilities2. Emphasize the potential for sustained cost savingsB. Closing thoughts1. Inspire optimism for the future of utilities with AI2. Encourage continued exploration and innovation in the fieldQ&A SessionA. Invite questions from the audienceB. Provide thoughtful responses, reinforcing key points from the speech
Daniel Barbersek
Power Generation, Natural Gas, Diesel Fuel, Power Storage
D1.5 POWER GENERATION, NATURAL GAS, DIESEL FUEL, POWER STORAGE
Daniel Barbersek – Waukesha Pearce Industries
The purpose of this presentation is to provide the audience with the knowledge of what effect that fuel selection has with engine performance, generator operation, system reliability and total cost of ownership.
The audience will all have a better understanding of why the natural gas generator market is growing at its current rate, and why natural gas generators are replacing diesel generators in their radiational markets. The audience will also learn the impact of fuel selection has on the maintenance and overall reliability of the generator system. they will also get an better understanding of rich burn Vs lean burn engines.
Mads Kirk Larsen
Haze and Mercury Reduction From Coal Fired Power Plants
Haze and mercury reduction from coal fired power plants
Mads Kirk Larsen – FLSmidth Airtech
Haze is due to fine particles and condensable when burning coal. The fine particles are difficult to remove by traditional means. By replacing some of the high voltage units in the electrostatic precipitators with Coromax system, it has been demonstrated that more than 70% of PM2.5 particles can be removed. The Coromax micro-pulse system provides an ultra high voltage – more than the double of conventional voltage and this enables the capture of the fine particles. For mercury, the highly intensive generation of electrons near the discharge electrodes will dissociate, excite, and ionize the gas molecules and produce vast amounts of radicals which then will oxidize the gaseous elementary mercury, which then can be washed out in the scrubber. Coromax will simultaneously reduce the overall power consumption significantly.
Hong-Shig-Shim
Full-scale Demonstration of Multi-process Sensor at a Cycling PC-fired Boiler
B2.4 Full-scale Demonstration of Multi-process Sensor at a Cycling PC-fired Boiler
Hong-Shig Shim – Reaction Engineering International
A multi-process sensor that is capable of monitoring real-time boiler conditions has been developed and demonstrated in pulverized coal-fired units. The sensor can provide information on corrosion, deposition, surface temperature, and heat flux which can be utilized for advanced control and plant performance optimization. The real-time sensor is increasingly relevant as coal power plants shift from predominantly base-load operations to predominantly transient operations involving large load swings. The system has been under continuous operation for over 10,000 hours and the results will be discussed focusing on the issues related to cycling impacts.